Latest open access articles published in Journal of Green Economy and Low-Carbon Development at https://www.acadlore.com/journals/JGELCD https://www.acadlore.com/journals/JGELCD Acadlore en Creative Commons Attribution(CC - BY) JGELCD support@acadlore.com https://www.acadlore.com/article/JGELCD/2025_4_4/jgelcd040402 Environmental pollution is a headache nowadays. It is observed that waste from industries plays a vital role in environmental pollution. So, in this study, it is tried to reduce the amount of waste materials and try to make it suitable for reuse. In today's market, it is impossible to survive in the market without the help of advertising. Therefore, advertisement for quick information about a product to its customer is used in this study. The demand for 3D printing techniques is increasing day by day for their utilization in the fields of agriculture, education, medicine, automobiles, mobile phones, aircraft, spaceships, etc. In today's era, with the advancement of technology, 3D printing is becoming more and more popular in manufacturing, health care, and many other sectors. Therefore, a production model with waste minimization and utilization of 3D printing is formulated in this study. This study primarily aims to determine optimal cycle length, production rate, and the optimal amount of inventory model technique by synthesizing the carbon emission rate with minimizing the total cost. A numerical example is presented to illustrate the characteristics and progress of the economic production quantity (EPQ) model. 10-25-2025 <![CDATA[ Environmental pollution is a headache nowadays. It is observed that waste from industries plays a vital role in environmental pollution. So, in this study, it is tried to reduce the amount of waste materials and try to make it suitable for reuse. In today's market, it is impossible to survive in the market without the help of advertising. Therefore, advertisement for quick information about a product to its customer is used in this study. The demand for 3D printing techniques is increasing day by day for their utilization in the fields of agriculture, education, medicine, automobiles, mobile phones, aircraft, spaceships, etc. In today's era, with the advancement of technology, 3D printing is becoming more and more popular in manufacturing, health care, and many other sectors. Therefore, a production model with waste minimization and utilization of 3D printing is formulated in this study. This study primarily aims to determine optimal cycle length, production rate, and the optimal amount of inventory model technique by synthesizing the carbon emission rate with minimizing the total cost. A numerical example is presented to illustrate the characteristics and progress of the economic production quantity (EPQ) model. ]]> A Sustainable Circular EPQ Model with Waste Minimization by Using 3D Technology diptesh kumar roy suman maity magfura pervin shashi bajaj mukharjee soheil salahshour sankar prasad mondal doi: 10.56578/jgelcd040402 Journal of Green Economy and Low-Carbon Development 10-25-2025 Journal of Green Economy and Low-Carbon Development 10-25-2025 2025 4 4 Article 225 10.56578/jgelcd040402 https://www.acadlore.com/article/JGELCD/2025_4_4/jgelcd040402 https://www.acadlore.com/article/JGELCD/2025_4_4/jgelcd040401 The continuous advancement and promotion of green energy products are gradually reducing consumers’ dependence on traditional energy sources. Due to the limitations of big data applications and constraints of AI technology diffusion, the adoption of green energy has yet to achieve widespread implementation or full consumer acceptance. Having employed a tripartite game-theoretic approach, this study selected governments, enterprises, and consumers as key players to analyze the evolutionary game strategies in AI-driven green energy innovation. A three-party evolutionary game model was constructed and adopted, in order to reveal critical factors that affect the decisions of these stakeholders on green energy innovation and consumption. The findings indicated a positive correlation between the intensity of consumer preference for green energy products and enterprises’ decisions to pursue the related AI-enhanced innovation. Although firms still weigh the impact incurred by the costs of research and development on profitability, the likelihood of enterprises engaging in AI-driven green energy innovation increases significantly alongside the elevating consumer preference for green energy products. 10-05-2025 <![CDATA[ The continuous advancement and promotion of green energy products are gradually reducing consumers’ dependence on traditional energy sources. Due to the limitations of big data applications and constraints of AI technology diffusion, the adoption of green energy has yet to achieve widespread implementation or full consumer acceptance. Having employed a tripartite game-theoretic approach, this study selected governments, enterprises, and consumers as key players to analyze the evolutionary game strategies in AI-driven green energy innovation. A three-party evolutionary game model was constructed and adopted, in order to reveal critical factors that affect the decisions of these stakeholders on green energy innovation and consumption. The findings indicated a positive correlation between the intensity of consumer preference for green energy products and enterprises’ decisions to pursue the related AI-enhanced innovation. Although firms still weigh the impact incurred by the costs of research and development on profitability, the likelihood of enterprises engaging in AI-driven green energy innovation increases significantly alongside the elevating consumer preference for green energy products. ]]> Evolutionary Game Analysis of AI+ Green Energy Innovation Based on Consumer Preference and Policy Subsidies shaoqing tian tingting wang doi: 10.56578/jgelcd040401 Journal of Green Economy and Low-Carbon Development 10-05-2025 Journal of Green Economy and Low-Carbon Development 10-05-2025 2025 4 4 Article 214 10.56578/jgelcd040401 https://www.acadlore.com/article/JGELCD/2025_4_4/jgelcd040401 https://www.acadlore.com/article/JGELCD/2025_4_3/jgelcd040305 Local knowledge plays an important role in maintaining a balance between humans and nature, especially in traditional agroforestry systems such as Repong Damar in Pekon Tanjung Setia. This study aims to analyze the system of inheriting local knowledge in the management of Repong Damar to preserve the ecology, economy, and culture of the community. A case study was adopted with a qualitative approach in the current research. The collection of data was conducted by participatory observation, in-depth interviews, and documentation. The data were then analyzed to obtain results related to the local knowledge inheritance system for managing the Repong Damar land. The sample was determined by purposive sampling with the following key criteria for informants, i.e., indigenous Tanjung Setia Village residents with profound experience and knowledge regarding Repong Damar land management. Key informants consisted of one village head, three traditional leaders, and five Damar farmers. Results of the study, based on observations from August to November 2025, showed that the inheritance of local knowledge was carried out from generation to generation through direct practice in the family and community environment. Inherited knowledge includes tapping techniques, nurseries, land management as well as social, spiritual, and ecological values. This inheritance process strengthens the attachment of the community to Repong Damar as a source of economic and cultural identity. Despite the challenges from the declining interest of the young generation in the agricultural sector, conservation is still being carried out through daily practices and informal education. The local knowledge inheritance system in Pekon Tanjung Setia is the foundation for the sustainability of Repong Damar, which maintains a balance between ecological and socio-cultural functions. These findings confirmed the importance of preserving local knowledge as an adaptive strategy in maintaining the sustainability of traditional agroforestry in Indonesia. 09-29-2025 <![CDATA[ Local knowledge plays an important role in maintaining a balance between humans and nature, especially in traditional agroforestry systems such as Repong Damar in Pekon Tanjung Setia. This study aims to analyze the system of inheriting local knowledge in the management of Repong Damar to preserve the ecology, economy, and culture of the community. A case study was adopted with a qualitative approach in the current research. The collection of data was conducted by participatory observation, in-depth interviews, and documentation. The data were then analyzed to obtain results related to the local knowledge inheritance system for managing the Repong Damar land. The sample was determined by purposive sampling with the following key criteria for informants, i.e., indigenous Tanjung Setia Village residents with profound experience and knowledge regarding Repong Damar land management. Key informants consisted of one village head, three traditional leaders, and five Damar farmers. Results of the study, based on observations from August to November 2025, showed that the inheritance of local knowledge was carried out from generation to generation through direct practice in the family and community environment. Inherited knowledge includes tapping techniques, nurseries, land management as well as social, spiritual, and ecological values. This inheritance process strengthens the attachment of the community to Repong Damar as a source of economic and cultural identity. Despite the challenges from the declining interest of the young generation in the agricultural sector, conservation is still being carried out through daily practices and informal education. The local knowledge inheritance system in Pekon Tanjung Setia is the foundation for the sustainability of Repong Damar, which maintains a balance between ecological and socio-cultural functions. These findings confirmed the importance of preserving local knowledge as an adaptive strategy in maintaining the sustainability of traditional agroforestry in Indonesia. ]]> Socio-Ecological Dynamics and Inheritance of Local Knowledge in the Management of Repong Damar: A Case Study from Pekon Tanjung Setia, Lampung, Indonesia inggrid sianturi hari kaskoyo indra gumay febryano bainah sari dewi doi: 10.56578/jgelcd040305 Journal of Green Economy and Low-Carbon Development 09-29-2025 Journal of Green Economy and Low-Carbon Development 09-29-2025 2025 4 3 Article 197 10.56578/jgelcd040305 https://www.acadlore.com/article/JGELCD/2025_4_3/jgelcd040305 https://www.acadlore.com/article/JGELCD/2025_4_3/jgelcd040304 This study focused on assessing and prioritizing carbon emission reduction strategies in Quang Ngai province in Vietnam, through an integrated Strengths, Weaknesses, Opportunities, and Threats (SWOT) and Analytic Network Process (ANP) approach. SWOT factors were identified through semi-structured interviews with a panel of 12 experts with expertise in environmental management, renewable energy, sustainable development planning, and local resource governance. This method allowed the identification of internal factors (strengths, weaknesses) and external factors (opportunities, threats) of the province. It also quantified the priority level of each criterion and strategy to support strategic decision-making in a scientific and transparent manner. Based on the results of the SWOT-ANP analysis, the priority level of carbon emission reduction strategy groups in Quang Ngai province was determined by the Utility Index (U) as follows: WO = 0.2867, SO = 0.2410, WT = 0.2389, and ST = 0.2334. Among them, the WO strategy (overcoming weaknesses to take advantage of opportunities) had the highest U value, showing that this was the top priority orientation which focused on improving technological, financial, and infrastructural capacity to meet the trend of green transformation and attract international resources. Next was the SO strategy (U = 0.2410), taking advantage of natural advantages and current policies to expand renewable energy projects, low-carbon agriculture, and green industry development. The two strategic groups, WT (U = 0.2389) and ST (U = 0.2334), had lower values but still played an important supporting role, thus contributing to minimizing risks due to limited resources and enhancing adaptability to the challenges of climate change. The research not only contributes to the development of carbon emission reduction solutions in the specific context of Quang Ngai but also opens up a reference for other localities. It helps to optimize emission reduction strategies in accordance with the specific economic, social, and environmental conditions in each region. 09-29-2025 <![CDATA[ <p>This study focused on assessing and prioritizing carbon emission reduction strategies in Quang Ngai province in Vietnam, through an integrated Strengths, Weaknesses, Opportunities, and Threats (SWOT) and Analytic Network Process (ANP) approach. SWOT factors were identified through semi-structured interviews with a panel of 12 experts with expertise in environmental management, renewable energy, sustainable development planning, and local resource governance. This method allowed the identification of internal factors (strengths, weaknesses) and external factors (opportunities, threats) of the province. It also quantified the priority level of each criterion and strategy to support strategic decision-making in a scientific and transparent manner. Based on the results of the SWOT-ANP analysis, the priority level of carbon emission reduction strategy groups in Quang Ngai province was determined by the Utility Index (U) as follows: WO = 0.2867, SO = 0.2410, WT = 0.2389, and ST = 0.2334. Among them, the WO strategy (overcoming weaknesses to take advantage of opportunities) had the highest U value, showing that this was the top priority orientation which focused on improving technological, financial, and infrastructural capacity to meet the trend of green transformation and attract international resources. Next was the SO strategy (U = 0.2410), taking advantage of natural advantages and current policies to expand renewable energy projects, low-carbon agriculture, and green industry development. The two strategic groups, WT (U = 0.2389) and ST (U = 0.2334), had lower values but still played an important supporting role, thus contributing to minimizing risks due to limited resources and enhancing adaptability to the challenges of climate change. The research not only contributes to the development of carbon emission reduction solutions in the specific context of Quang Ngai but also opens up a reference for other localities. It helps to optimize emission reduction strategies in accordance with the specific economic, social, and environmental conditions in each region.</p> ]]> Integrated SWOT-ANP Approach for Prioritizing Carbon Emission Reduction Strategies in Quang Ngai Province, Vietnam vo van tuyen doi: 10.56578/jgelcd040304 Journal of Green Economy and Low-Carbon Development 09-29-2025 Journal of Green Economy and Low-Carbon Development 09-29-2025 2025 4 3 Article 176 10.56578/jgelcd040304 https://www.acadlore.com/article/JGELCD/2025_4_3/jgelcd040304 https://www.acadlore.com/article/JGELCD/2025_4_3/jgelcd040303 Against the backdrop of the “Dual Carbon” goals and the global green transformation of supply chains, the food supply chain characterized by high carbon emissions, significant losses, and stringent time-sensitive requirements imperatively transitions from the traditional “efficiency-first” model to a “dual-driven, efficiency-low carbon” approach. There is a scarcity of existing research to address the limitations encountered in the optimization of single transportation mode and the coordination of multiple constraints. In this light, the current paper focused on the two-stage location-route problem, in order to construct a collaborative optimization model that integrates the location selection of transfer stations with route planning. By dynamically determining the layouts of transfer stations via an enhanced K-means clustering algorithm and introducing capacity constraints and moment of inertia analysis, the accuracy of site selection could be improved. This approach resolved issues of random initialization and load imbalance inherent in traditional clustering. The design of an adaptive ant colony optimization (ACO) algorithm could incorporate heuristic information such as load utilization rate and time window tightness, while optimizing the pheromone update mechanism to balance transportation costs, carbon emissions, and time constraints. The proposed collaborative delivery model effectively integrated the economies of scale from trunk transportation with the flexibility of last-mile delivery, so as to achieve optimization of facility locations and route planning. Experimental validation demonstrated that the improved algorithm significantly outperformed traditional methods in the quality and stability of solutions. It also provided an optimized path for food supply chain networks that balanced economic and environmental benefits. This research offers theoretical support for the transformation of green logistics; it can also be extended to future studies by incorporating real-time data and dynamic scenarios for effective carbon reduction across the entire supply chain. 09-29-2025 <![CDATA[ Against the backdrop of the “Dual Carbon” goals and the global green transformation of supply chains, the food supply chain characterized by high carbon emissions, significant losses, and stringent time-sensitive requirements imperatively transitions from the traditional “efficiency-first” model to a “dual-driven, efficiency-low carbon” approach. There is a scarcity of existing research to address the limitations encountered in the optimization of single transportation mode and the coordination of multiple constraints. In this light, the current paper focused on the two-stage location-route problem, in order to construct a collaborative optimization model that integrates the location selection of transfer stations with route planning. By dynamically determining the layouts of transfer stations via an enhanced K-means clustering algorithm and introducing capacity constraints and moment of inertia analysis, the accuracy of site selection could be improved. This approach resolved issues of random initialization and load imbalance inherent in traditional clustering. The design of an adaptive ant colony optimization (ACO) algorithm could incorporate heuristic information such as load utilization rate and time window tightness, while optimizing the pheromone update mechanism to balance transportation costs, carbon emissions, and time constraints. The proposed collaborative delivery model effectively integrated the economies of scale from trunk transportation with the flexibility of last-mile delivery, so as to achieve optimization of facility locations and route planning. Experimental validation demonstrated that the improved algorithm significantly outperformed traditional methods in the quality and stability of solutions. It also provided an optimized path for food supply chain networks that balanced economic and environmental benefits. This research offers theoretical support for the transformation of green logistics; it can also be extended to future studies by incorporating real-time data and dynamic scenarios for effective carbon reduction across the entire supply chain. ]]> Improved Ant Colony Optimization for Food Supply Chain Networks: To Achieve the “Dual Carbon” Goals from the Green Perspective yuanyuan zhang xuhan zhang zheyao li nuoning zheng xianglong li zirong gan xiao li yuxin xue doi: 10.56578/jgelcd040303 Journal of Green Economy and Low-Carbon Development 09-29-2025 Journal of Green Economy and Low-Carbon Development 09-29-2025 2025 4 3 Article 160 10.56578/jgelcd040303 https://www.acadlore.com/article/JGELCD/2025_4_3/jgelcd040303 https://www.acadlore.com/article/JGELCD/2025_4_3/jgelcd040302 Urbanization has caused a great burden in waste management, along with the introduction of Waste-to-Energy (WtE) technology and the development of related waste treatment and renewable energy production. This paper perceived global WtE technology in respect of decarbonization of the power industry by comparing incineration, anaerobic digestion, gasification, and pyrolysis. It highlighted the necessity to shift the conventional landfill practices to the use of WtE plants, which would reduce the landfill amounts and generate biogas, syngas, and digestate as by-products with a high level of nutrients. This article evaluated the energy value of waste materials and provided an account of the adoption of WtE energy infrastructure both in Europe and Asia-Pacific. It dealt with the problems of developing economies like population growth, lack of sufficient regulations, a high cost of capital markets and other technological issues. The carbon capture and life cycle analysis to sustain WtE, as well as its implications on the environment and employment were discussed. The paper concluded with recommendations on policies, research, and development by emphasizing the imperatives of well-established cooperation among stakeholders, technological adjustments as well as investments in innovations. 09-29-2025 <![CDATA[ Urbanization has caused a great burden in waste management, along with the introduction of Waste-to-Energy (WtE) technology and the development of related waste treatment and renewable energy production. This paper perceived global WtE technology in respect of decarbonization of the power industry by comparing incineration, anaerobic digestion, gasification, and pyrolysis. It highlighted the necessity to shift the conventional landfill practices to the use of WtE plants, which would reduce the landfill amounts and generate biogas, syngas, and digestate as by-products with a high level of nutrients. This article evaluated the energy value of waste materials and provided an account of the adoption of WtE energy infrastructure both in Europe and Asia-Pacific. It dealt with the problems of developing economies like population growth, lack of sufficient regulations, a high cost of capital markets and other technological issues. The carbon capture and life cycle analysis to sustain WtE, as well as its implications on the environment and employment were discussed. The paper concluded with recommendations on policies, research, and development by emphasizing the imperatives of well-established cooperation among stakeholders, technological adjustments as well as investments in innovations. ]]> Decarbonizing Power Through Waste: A Global Perspective on Electricity Generation from Municipal and Industrial Refuse haider mohammed makkyia muna s. kassim kifah a. alimarah doi: 10.56578/jgelcd040302 Journal of Green Economy and Low-Carbon Development 09-29-2025 Journal of Green Economy and Low-Carbon Development 09-29-2025 2025 4 3 Article 140 10.56578/jgelcd040302 https://www.acadlore.com/article/JGELCD/2025_4_3/jgelcd040302 https://www.acadlore.com/article/JGELCD/2025_4_3/jgelcd040301 This paper examines the impact of green finance on urban carbon emission performance by utilizing panel data from 280 prefecture-level cities in China from 2012 to 2022. The results indicate that the development of green finance can improve carbon emission performance. Mechanism analysis reveals that green finance enhances carbon emission performance by promoting industrial structure upgrades and green technological innovation, and this conclusion is confirmed through a series of robustness tests. Heterogeneity analysis shows that the impact of green finance on carbon emission performance is more significant in non-resource-based cities and in eastern regions. Based on these findings, this paper offers relevant policy recommendations, providing useful insights for improving urban carbon emission performance in China. 09-29-2025 <![CDATA[ This paper examines the impact of green finance on urban carbon emission performance by utilizing panel data from 280 prefecture-level cities in China from 2012 to 2022. The results indicate that the development of green finance can improve carbon emission performance. Mechanism analysis reveals that green finance enhances carbon emission performance by promoting industrial structure upgrades and green technological innovation, and this conclusion is confirmed through a series of robustness tests. Heterogeneity analysis shows that the impact of green finance on carbon emission performance is more significant in non-resource-based cities and in eastern regions. Based on these findings, this paper offers relevant policy recommendations, providing useful insights for improving urban carbon emission performance in China. ]]> Impact of Green Finance on Carbon Emission Performance lelai shi yao yi hong lin doi: 10.56578/jgelcd040301 Journal of Green Economy and Low-Carbon Development 09-29-2025 Journal of Green Economy and Low-Carbon Development 09-29-2025 2025 4 3 Article 128 10.56578/jgelcd040301 https://www.acadlore.com/article/JGELCD/2025_4_3/jgelcd040301 https://www.acadlore.com/article/JGELCD/2025_4_2/jgelcd040205 With the application of digital technology in the political sphere, the concept of digital governance has emerged as a novel approach to governing. This study focuses on digital governance in rural China and examines its impact on agricultural green total factor productivity (AGTFP) based on the provincial-level data from 2011 to 2022. To measure digital governance in rural China, we select four sub-indexes and employ the entropy weight method. Then, the Instrumental variable two-stage least squares (IV-2SLS) method is utilized to analyze the impact of rural digital governance on AGTFP, which is assessed using the directional distance function and global Malmquist-Luenberger (GML) index. The results show that digital governance in rural China has a positive effect on AGTFP. The increase in rural digital governance by 0.1 leads to a corresponding increase of 0.0045 in AGTFP. The mechanism analysis reveals that the farmland transfer rate and the soil erosion control areas positively mediate the relationship between rural digital governance and AGTFP. Our research findings enhance the overall comprehension of rural digital governance in China and its potential for generating positive outcomes. 06-29-2025 <![CDATA[ With the application of digital technology in the political sphere, the concept of digital governance has emerged as a novel approach to governing. This study focuses on digital governance in rural China and examines its impact on agricultural green total factor productivity (AGTFP) based on the provincial-level data from 2011 to 2022. To measure digital governance in rural China, we select four sub-indexes and employ the entropy weight method. Then, the Instrumental variable two-stage least squares (IV-2SLS) method is utilized to analyze the impact of rural digital governance on AGTFP, which is assessed using the directional distance function and global Malmquist-Luenberger (GML) index. The results show that digital governance in rural China has a positive effect on AGTFP. The increase in rural digital governance by 0.1 leads to a corresponding increase of 0.0045 in AGTFP. The mechanism analysis reveals that the farmland transfer rate and the soil erosion control areas positively mediate the relationship between rural digital governance and AGTFP. Our research findings enhance the overall comprehension of rural digital governance in China and its potential for generating positive outcomes. ]]> Digital Governance in Rural China and Its Impact on Agricultural Green Total Factor Productivity xue gao doi: 10.56578/jgelcd040205 Journal of Green Economy and Low-Carbon Development 06-29-2025 Journal of Green Economy and Low-Carbon Development 06-29-2025 2025 4 2 Article 116 10.56578/jgelcd040205 https://www.acadlore.com/article/JGELCD/2025_4_2/jgelcd040205 https://www.acadlore.com/article/JGELCD/2025_4_2/jgelcd040204 This study constructs a comprehensive evaluation framework encompassing the ecological transformation of industrial structure, the degree of energy consumption structure optimization, and their respective evolutionary characteristics. Employing a vector autoregression (VAR) model, the paper systematically investigates the dynamic coupling relationship between industrial ecological evolution and energy structure optimization in the Beijing-Tianjin-Hebei (BTH) region. The findings indicate that the region has experienced a sustained improvement in the ecological orientation of its industrial structure, alongside a significant degree of spatial interdependence. In the long term, industrial ecologization exerts a notable positive influence on the optimization of the local energy consumption structure. In the short term, energy structure optimization in Beijing and Tianjin generates effective feedback that further facilitates their own industrial ecological upgrading. Distinct differences are observed across the three sub-regions in terms of evolutionary pathways and adjustment mechanisms, highlighting the critical role of regional functional positioning in shaping the coupled evolution of the industrial–energy system. The study not only enriches the empirical understanding of ecological economic interactions at the regional scale, but also offers theoretical guidance and policy insights for advancing low-carbon, green, and coordinated development across the BTH region. 06-29-2025 <![CDATA[ This study constructs a comprehensive evaluation framework encompassing the ecological transformation of industrial structure, the degree of energy consumption structure optimization, and their respective evolutionary characteristics. Employing a vector autoregression (VAR) model, the paper systematically investigates the dynamic coupling relationship between industrial ecological evolution and energy structure optimization in the Beijing-Tianjin-Hebei (BTH) region. The findings indicate that the region has experienced a sustained improvement in the ecological orientation of its industrial structure, alongside a significant degree of spatial interdependence. In the long term, industrial ecologization exerts a notable positive influence on the optimization of the local energy consumption structure. In the short term, energy structure optimization in Beijing and Tianjin generates effective feedback that further facilitates their own industrial ecological upgrading. Distinct differences are observed across the three sub-regions in terms of evolutionary pathways and adjustment mechanisms, highlighting the critical role of regional functional positioning in shaping the coupled evolution of the industrial–energy system. The study not only enriches the empirical understanding of ecological economic interactions at the regional scale, but also offers theoretical guidance and policy insights for advancing low-carbon, green, and coordinated development across the BTH region. ]]> Dynamic Coupling Between the Ecological Evolution of Industrial Structure and the Optimization of Energy Consumption Structure: Evidence from the Beijing-Tianjin-Hebei Region zhanjun qiao doi: 10.56578/jgelcd040204 Journal of Green Economy and Low-Carbon Development 06-29-2025 Journal of Green Economy and Low-Carbon Development 06-29-2025 2025 4 2 Article 102 10.56578/jgelcd040204 https://www.acadlore.com/article/JGELCD/2025_4_2/jgelcd040204 https://www.acadlore.com/article/JGELCD/2025_4_2/jgelcd040203 Green growth practices in avocado farming involve balancing economic productivity, environmental sustainability, and social inclusiveness. These practices could boost resource efficiency, conserve biodiversity, and minimize environmental degradation. While global demand for avocados is increasing, there is little understanding of the factors influencing farmers’ willingness to adopt green growth practices and the factors affecting avocado yields amid market pressures as well as insufficient information and inadequate resources. Therefore, this study investigated the current practices used by farmers and the factors influencing the adoption of green growth practices and avocado yields in the Southern Agricultural Growth Corridor of Tanzania (SAGCOT) region, specifically in Rungwe District. A cross-sectional research design and multistage sampling helped select targeted avocado farmers, from whom data was collected via questionnaires and surveys. Results of descriptive statistics showed that 82% of the interviewed farmers were male and 67% of them had primary education. Farmers identified mulching and the use of organic fertilizer as primary green growth practices. Regression analysis performed by SPSS version 27 was the main analytical method. Binary logistic regression indicated that larger avocado farm size, access to information, and perception of larger avocado demand significantly influenced the adoption of green growth practices; meanwhile, gender showed a marginally significant effect. Multiple linear regression further revealed that tree age significantly impacted avocado yields whereas chemical fertilizer decreased yields. The findings emphasized the importance of targeted interventions to improve knowledge dissemination and training of sustainable agricultural practices to enhance productivity in avocado farming. 06-29-2025 <![CDATA[ <p>Green growth practices in avocado farming involve balancing economic productivity, environmental sustainability, and social inclusiveness. These practices could boost resource efficiency, conserve biodiversity, and minimize environmental degradation. While global demand for avocados is increasing, there is little understanding of the factors influencing farmers’ willingness to adopt green growth practices and the factors affecting avocado yields amid market pressures as well as insufficient information and inadequate resources. Therefore, this study investigated the current practices used by farmers and the factors influencing the adoption of green growth practices and avocado yields in the Southern Agricultural Growth Corridor of Tanzania (SAGCOT) region, specifically in Rungwe District. A cross-sectional research design and multistage sampling helped select targeted avocado farmers, from whom data was collected via questionnaires and surveys. Results of descriptive statistics showed that 82% of the interviewed farmers were male and 67% of them had primary education. Farmers identified mulching and the use of organic fertilizer as primary green growth practices. Regression analysis performed by SPSS version 27 was the main analytical method. Binary logistic regression indicated that larger avocado farm size, access to information, and perception of larger avocado demand significantly influenced the adoption of green growth practices; meanwhile, gender showed a marginally significant effect. Multiple linear regression further revealed that tree age significantly impacted avocado yields whereas chemical fertilizer decreased yields. The findings emphasized the importance of targeted interventions to improve knowledge dissemination and training of sustainable agricultural practices to enhance productivity in avocado farming.</p> ]]> Factors Influencing Green Growth Practices and Avocado Yields: Insights from the Southern Agricultural Growth Corridor in Rungwe diana clemens kasongo jumanne m. abdallah khamaldin mutabazi doi: 10.56578/jgelcd040203 Journal of Green Economy and Low-Carbon Development 06-29-2025 Journal of Green Economy and Low-Carbon Development 06-29-2025 2025 4 2 Article 91 10.56578/jgelcd040203 https://www.acadlore.com/article/JGELCD/2025_4_2/jgelcd040203 https://www.acadlore.com/article/JGELCD/2025_4_2/jgelcd040202 This study investigates the exponential growth of plastic waste, a critical global environmental concern exacerbated by rapid population expansion. It examines the packaging plastic value chain by focusing on associated environmental impacts, challenges, and opportunities for advancing a circular economy (CE). The objectives are to trace the evolution of the CE concept, identify key opportunities and implementation barriers, and devise strategies for enhancing its effectiveness. Through a systematic literature review and qualitative interviews, the research delineated the complexities in the lifecycle of post-consumer packaging plastics. The findings highlighted that CE efficacy was significantly influenced by interrelated factors, including product design, consumer behaviour, collection systems, sorting efficiency, and economic viability of mechanical and chemical recycling pathways. Although CE models are promising, this research indicated that the complete elimination of plastic waste remained an uncertain goal. The study, therefore, advocated a comprehensive transformation of the plastic value chain, necessitated by challenges such as heterogeneous waste streams, inconsistent quality of recycled output, and competing economic factors. It is concluded that strategic investments in research, recycling-friendly design, advanced recovery methods, and efficient sorting are essential for producing cost-effective and high-quality recycled products, thereby moving beyond incremental efforts toward a systemic solution. 06-29-2025 <![CDATA[ <p>This study investigates the exponential growth of plastic waste, a critical global environmental concern exacerbated by rapid population expansion. It examines the packaging plastic value chain by focusing on associated environmental impacts, challenges, and opportunities for advancing a circular economy (CE). The objectives are to trace the evolution of the CE concept, identify key opportunities and implementation barriers, and devise strategies for enhancing its effectiveness. Through a systematic literature review and qualitative interviews, the research delineated the complexities in the lifecycle of post-consumer packaging plastics. The findings highlighted that CE efficacy was significantly influenced by interrelated factors, including product design, consumer behaviour, collection systems, sorting efficiency, and economic viability of mechanical and chemical recycling pathways. Although CE models are promising, this research indicated that the complete elimination of plastic waste remained an uncertain goal. The study, therefore, advocated a comprehensive transformation of the plastic value chain, necessitated by challenges such as heterogeneous waste streams, inconsistent quality of recycled output, and competing economic factors. It is concluded that strategic investments in research, recycling-friendly design, advanced recovery methods, and efficient sorting are essential for producing cost-effective and high-quality recycled products, thereby moving beyond incremental efforts toward a systemic solution.</p> ]]> An Integrated Analysis of Plastic Packaging Value Chain: Identifying Barriers and Enablers for a Circular Economy olatunbosun olasunkanmi kafisanwo doi: 10.56578/jgelcd040202 Journal of Green Economy and Low-Carbon Development 06-29-2025 Journal of Green Economy and Low-Carbon Development 06-29-2025 2025 4 2 Article 74 10.56578/jgelcd040202 https://www.acadlore.com/article/JGELCD/2025_4_2/jgelcd040202 https://www.acadlore.com/article/JGELCD/2025_4_2/jgelcd040201 The inadequate disclosure of environmental sustainability performance by polluting firms has led to significant information asymmetry between corporations and stakeholders, which in turn has contributed to investor apathy, diminished economic success, and increased community opposition. This study examines the effects of environmental sustainability performance disclosure on the profitability of firms, specifically focusing on the consumer goods manufacturing sector in Nigeria. The research is anchored in Stakeholder Theory and adopts a correlational research design. Data were obtained from the annual reports of thirteen listed consumer goods manufacturing companies over a period of thirteen years (2012-2024). Feasible Generalized Least Squares (FGLS) regression analysis was employed to test the hypotheses. The results indicate that the disclosure of greenhouse gas (GHG) emissions reduction is positively associated with profitability. Similarly, the disclosure of environmental waste management practices is significantly related to improved corporate profitability. However, the disclosure of water management practices revealed a significant negative relationship with profitability. The findings suggest that the disclosure of environmental sustainability practices, such as GHG emissions reduction, waste management, and water consumption reduction, plays a crucial role in enhancing both environmental sustainability and long-term financial performance. While GHG reduction was found to have a direct financial benefit, waste management strategies necessitate a shift from compliance-based approaches to innovation-driven practices. Water management, on the other hand, requires better alignment with industry-specific realities to effectively contribute to profitability and sustainable growth. These findings underscore the importance of transparent environmental performance disclosure as a driver of both ecological sustainability and financial success for firms operating in the consumer goods manufacturing sector. 06-15-2025 <![CDATA[ <p>The inadequate disclosure of environmental sustainability performance by polluting firms has led to significant information asymmetry between corporations and stakeholders, which in turn has contributed to investor apathy, diminished economic success, and increased community opposition. This study examines the effects of environmental sustainability performance disclosure on the profitability of firms, specifically focusing on the consumer goods manufacturing sector in Nigeria. The research is anchored in Stakeholder Theory and adopts a correlational research design. Data were obtained from the annual reports of thirteen listed consumer goods manufacturing companies over a period of thirteen years (2012-2024). Feasible Generalized Least Squares (FGLS) regression analysis was employed to test the hypotheses. The results indicate that the disclosure of greenhouse gas (GHG) emissions reduction is positively associated with profitability. Similarly, the disclosure of environmental waste management practices is significantly related to improved corporate profitability. However, the disclosure of water management practices revealed a significant negative relationship with profitability. The findings suggest that the disclosure of environmental sustainability practices, such as GHG emissions reduction, waste management, and water consumption reduction, plays a crucial role in enhancing both environmental sustainability and long-term financial performance. While GHG reduction was found to have a direct financial benefit, waste management strategies necessitate a shift from compliance-based approaches to innovation-driven practices. Water management, on the other hand, requires better alignment with industry-specific realities to effectively contribute to profitability and sustainable growth. These findings underscore the importance of transparent environmental performance disclosure as a driver of both ecological sustainability and financial success for firms operating in the consumer goods manufacturing sector.</p> ]]> Environmental Sustainability Performance Disclosure and Its Impact on Profitability in Listed Consumer Goods Manufacturing Firms in Nigeria douye okoba gospel j. chukwu awajimere abraham jackson doi: 10.56578/jgelcd040201 Journal of Green Economy and Low-Carbon Development 06-15-2025 Journal of Green Economy and Low-Carbon Development 06-15-2025 2025 4 2 Article 63 10.56578/jgelcd040201 https://www.acadlore.com/article/JGELCD/2025_4_2/jgelcd040201 https://www.acadlore.com/article/JGELCD/2025_4_1/jgelcd040105 A comprehensive life cycle assessment (LCA) has been conducted to evaluate the environmental impact of a public toilet facility situated in the Dongtou National Tourism Demonstration Zone, China. The study was carried out in accordance with the PAS 2080 standard for carbon management in infrastructure, with digital modelling implemented via Autodesk Revit and carbon accounting performed using OneClick LCA software. Additional calculations related to biogenic carbon sequestration were undertaken using Microsoft Excel, based on nationally and internationally recognized emission factors. The assessment revealed that the most significant contributors to the building’s Global Warming Potential (GWP) stemmed from two primary phases: the embodied carbon associated with construction materials and the operational energy use throughout the building's lifecycle. Particular emphasis has been placed on timber components, which demonstrated potential for short-term carbon storage, although this benefit was offset by emissions from material production and transportation. It was further observed that the building’s design, operational efficiency, and material selection substantially influenced overall environmental performance. Recommendations are provided regarding the adoption of low-carbon construction materials, the integration of renewable energy sources during the use phase, and the implementation of circular economy principles in waste management. The findings underscore the necessity of adopting an integrated LCA approach to enhance the environmental sustainability of small-scale public infrastructure in sensitive ecological zones. This study contributes to the growing body of evidence supporting carbon-conscious planning and decision-making in the development of public tourism facilities. 03-30-2025 <![CDATA[ A comprehensive life cycle assessment (LCA) has been conducted to evaluate the environmental impact of a public toilet facility situated in the Dongtou National Tourism Demonstration Zone, China. The study was carried out in accordance with the PAS 2080 standard for carbon management in infrastructure, with digital modelling implemented via Autodesk Revit and carbon accounting performed using OneClick LCA software. Additional calculations related to biogenic carbon sequestration were undertaken using Microsoft Excel, based on nationally and internationally recognized emission factors. The assessment revealed that the most significant contributors to the building’s Global Warming Potential (GWP) stemmed from two primary phases: the embodied carbon associated with construction materials and the operational energy use throughout the building's lifecycle. Particular emphasis has been placed on timber components, which demonstrated potential for short-term carbon storage, although this benefit was offset by emissions from material production and transportation. It was further observed that the building’s design, operational efficiency, and material selection substantially influenced overall environmental performance. Recommendations are provided regarding the adoption of low-carbon construction materials, the integration of renewable energy sources during the use phase, and the implementation of circular economy principles in waste management. The findings underscore the necessity of adopting an integrated LCA approach to enhance the environmental sustainability of small-scale public infrastructure in sensitive ecological zones. This study contributes to the growing body of evidence supporting carbon-conscious planning and decision-making in the development of public tourism facilities. ]]> Life Cycle Assessment of Public Garden Buildings in China: A Case Study of Toilets in the Dongtou National Tourism Demonstration Zone imanga maria munalula rikun wen doi: 10.56578/jgelcd040105 Journal of Green Economy and Low-Carbon Development 03-30-2025 Journal of Green Economy and Low-Carbon Development 03-30-2025 2025 4 1 Article 51 10.56578/jgelcd040105 https://www.acadlore.com/article/JGELCD/2025_4_1/jgelcd040105 https://www.acadlore.com/article/JGELCD/2025_4_1/jgelcd040104 A comprehensive deterministic model has been developed to elucidate the interdependent dynamics of atmospheric carbon dioxide (CO$_2$) concentrations, human population growth, forest cover evolution, and tree plantation strategies. The model is structured to capture the nonlinear interactions between anthropogenic drivers and natural carbon sinks, offering a mechanistic understanding of how deforestation, afforestation, and demographic trends collectively shape long-term carbon trajectories. Emphasis has been placed on the incorporation of human population dynamics, land-use transformation, and carbon sequestration potential across managed and natural forest systems. Through analytical methods including stability and sensitivity analysis, critical emission thresholds and optimal conditions for carbon offsetting have been identified. Numerical simulations have been conducted to validate the model’s predictive capability and to explore scenarios under which afforestation and reforestation initiatives can meaningfully mitigate rising CO$_2$ levels. Results demonstrate that effective carbon sequestration is highly sensitive to the rate of population growth and the spatial extent and quality of forest interventions. Threshold values for net carbon neutrality have been established, providing quantifiable targets for forest management and climate policy design. The novelty of the approach lies in its integrated framework, which bridges socio-economic processes with ecological carbon fluxes—an area often overlooked in existing emission models. This integrated perspective enables the identification of leverage points for coordinated climate mitigation, combining demographic planning with nature-based solutions. Future refinement of the model is anticipated through the inclusion of spatially explicit climate variables, biodiversity feedbacks, and differentiated land-use regimes, aiming to enhance its predictive robustness and policy relevance. This framework is expected to contribute significantly to the formulation of holistic and adaptive strategies for climate change mitigation through synergistic management of human and ecological systems. 03-30-2025 <![CDATA[ A comprehensive deterministic model has been developed to elucidate the interdependent dynamics of atmospheric carbon dioxide (CO$_2$) concentrations, human population growth, forest cover evolution, and tree plantation strategies. The model is structured to capture the nonlinear interactions between anthropogenic drivers and natural carbon sinks, offering a mechanistic understanding of how deforestation, afforestation, and demographic trends collectively shape long-term carbon trajectories. Emphasis has been placed on the incorporation of human population dynamics, land-use transformation, and carbon sequestration potential across managed and natural forest systems. Through analytical methods including stability and sensitivity analysis, critical emission thresholds and optimal conditions for carbon offsetting have been identified. Numerical simulations have been conducted to validate the model’s predictive capability and to explore scenarios under which afforestation and reforestation initiatives can meaningfully mitigate rising CO$_2$ levels. Results demonstrate that effective carbon sequestration is highly sensitive to the rate of population growth and the spatial extent and quality of forest interventions. Threshold values for net carbon neutrality have been established, providing quantifiable targets for forest management and climate policy design. The novelty of the approach lies in its integrated framework, which bridges socio-economic processes with ecological carbon fluxes—an area often overlooked in existing emission models. This integrated perspective enables the identification of leverage points for coordinated climate mitigation, combining demographic planning with nature-based solutions. Future refinement of the model is anticipated through the inclusion of spatially explicit climate variables, biodiversity feedbacks, and differentiated land-use regimes, aiming to enhance its predictive robustness and policy relevance. This framework is expected to contribute significantly to the formulation of holistic and adaptive strategies for climate change mitigation through synergistic management of human and ecological systems. ]]> Integrated Modelling of Carbon Emissions under Population Growth, Forest Management Policies, and Tree Plantation Dynamics wasi ur rahman imtiaz ahmad ishfaq ahmad doi: 10.56578/jgelcd040104 Journal of Green Economy and Low-Carbon Development 03-30-2025 Journal of Green Economy and Low-Carbon Development 03-30-2025 2025 4 1 Article 37 10.56578/jgelcd040104 https://www.acadlore.com/article/JGELCD/2025_4_1/jgelcd040104 https://www.acadlore.com/article/JGELCD/2025_4_1/jgelcd040103 This study explores the application of Value Management (VM) and Value Engineering (VE) within Malta’s public service sector, focusing on environmental projects. Traditional cost-centric procurement approaches are proving insufficient in an era of heightened economic volatility, technological disruption, and increasing demands for public accountability. This research advocates for a structured, value-based decision-making framework that balances cost with quality, efficiency, and long-term sustainability considerations. A mixed-method, quasi-experimental design was employed, using Ambjent Malta as a case study. The methodology involved pre-intervention data collection, stakeholder information sessions, and post-intervention evaluation. Three environmental projects were analysed through stakeholder engagement workshops, incorporating VM tools such as function analysis and value criteria evaluation. The results demonstrate that VM can effectively address cost overruns, promote stakeholder collaboration, and improve project alignment with client and environmental objectives. Significant increases in stakeholder awareness and understanding of VM principles were observed, alongside a reported shift from cost minimisation to value optimisation in project planning. This research contributes to the limited knowledge of VM in the Maltese context. It underscores the potential of value-based methodologies to enhance public sector project outcomes and long-term efficiency. 03-30-2025 <![CDATA[ This study explores the application of Value Management (VM) and Value Engineering (VE) within Malta’s public service sector, focusing on environmental projects. Traditional cost-centric procurement approaches are proving insufficient in an era of heightened economic volatility, technological disruption, and increasing demands for public accountability. This research advocates for a structured, value-based decision-making framework that balances cost with quality, efficiency, and long-term sustainability considerations. A mixed-method, quasi-experimental design was employed, using Ambjent Malta as a case study. The methodology involved pre-intervention data collection, stakeholder information sessions, and post-intervention evaluation. Three environmental projects were analysed through stakeholder engagement workshops, incorporating VM tools such as function analysis and value criteria evaluation. The results demonstrate that VM can effectively address cost overruns, promote stakeholder collaboration, and improve project alignment with client and environmental objectives. Significant increases in stakeholder awareness and understanding of VM principles were observed, alongside a reported shift from cost minimisation to value optimisation in project planning. This research contributes to the limited knowledge of VM in the Maltese context. It underscores the potential of value-based methodologies to enhance public sector project outcomes and long-term efficiency. ]]> Understanding the Impact of Value Management in the Environmental Public Service Sector erik mifsud grimaud rebecca dalli gonzi simon grima doi: 10.56578/jgelcd040103 Journal of Green Economy and Low-Carbon Development 03-30-2025 Journal of Green Economy and Low-Carbon Development 03-30-2025 2025 4 1 Article 28 10.56578/jgelcd040103 https://www.acadlore.com/article/JGELCD/2025_4_1/jgelcd040103 https://www.acadlore.com/article/JGELCD/2025_4_1/jgelcd040102 The environmental performance and service quality of liquefied petroleum gas (LPG) vehicles were evaluated through a dual-phase analytical approach. In the first phase, exhaust emissions from LPG and petrol-powered vehicles were quantified using the CAPELEC 3010 gas analyzer, with concentrations of carbon monoxide (CO), carbon dioxide (CO$_2$), nitrogen oxides (NOx), and hydrocarbons being measured. The results demonstrated that LPG vehicles emitted significantly lower CO levels (0.09% on average) compared to petrol vehicles (0.18%), with corrected CO values also reduced (0.08% vs. 0.19%). These findings reinforce the environmental advantages of LPG as a cleaner fuel alternative. In the second phase, the SERVQUAL model was employed to assess user perceptions of service quality, focusing on five dimensions: reliability, responsiveness, assurance, empathy, and overall service quality. A negative overall SERVQUAL gap (-0.806) was identified, with the most pronounced discrepancies observed in reliability (-1.061) and responsiveness (-0.933), indicating unmet expectations in key service aspects. Despite these gaps, LPG vehicles were perceived as cost-effective and environmentally sustainable. The findings underscore the necessity for technical refinements in LPG vehicle systems and improvements in service infrastructure to enhance user satisfaction. The insights derived from this study offer valuable guidance for policymakers and industry stakeholders seeking to promote LPG as a viable component of sustainable transportation strategies. 03-27-2025 <![CDATA[ <p>The environmental performance and service quality of liquefied petroleum gas (LPG) vehicles were evaluated through a dual-phase analytical approach. In the first phase, exhaust emissions from LPG and petrol-powered vehicles were quantified using the CAPELEC 3010 gas analyzer, with concentrations of carbon monoxide (CO), carbon dioxide (CO$_2$), nitrogen oxides (NOx), and hydrocarbons being measured. The results demonstrated that LPG vehicles emitted significantly lower CO levels (0.09% on average) compared to petrol vehicles (0.18%), with corrected CO values also reduced (0.08% vs. 0.19%). These findings reinforce the environmental advantages of LPG as a cleaner fuel alternative. In the second phase, the SERVQUAL model was employed to assess user perceptions of service quality, focusing on five dimensions: reliability, responsiveness, assurance, empathy, and overall service quality. A negative overall SERVQUAL gap (-0.806) was identified, with the most pronounced discrepancies observed in reliability (-1.061) and responsiveness (-0.933), indicating unmet expectations in key service aspects. Despite these gaps, LPG vehicles were perceived as cost-effective and environmentally sustainable. The findings underscore the necessity for technical refinements in LPG vehicle systems and improvements in service infrastructure to enhance user satisfaction. The insights derived from this study offer valuable guidance for policymakers and industry stakeholders seeking to promote LPG as a viable component of sustainable transportation strategies.</p> ]]> Environmental Impact and Service Quality of Liquefied Petroleum Gas Vehicles: A Dual-Phase Assessment Through Emission Analysis and SERVQUAL Evaluation marko blagojević dimitrije blagojević zdravko tutnjević sandra kasalica aleksandar blagojević doi: 10.56578/jgelcd040102 Journal of Green Economy and Low-Carbon Development 03-27-2025 Journal of Green Economy and Low-Carbon Development 03-27-2025 2025 4 1 Article 17 10.56578/jgelcd040102 https://www.acadlore.com/article/JGELCD/2025_4_1/jgelcd040102 https://www.acadlore.com/article/JGELCD/2025_4_1/jgelcd040101 The European Union has actively promoted the development of intermodal transport as a response to the ecological and safety challenges posed by global transportation flows. Through projects such as Customer-driven Rail-freight services on a European mega-corridor based on Advanced business and operating Models (CREAM) and Reorganization of Transport Networks through Advanced Rail Freight Concepts (RETRAC), substantial improvements in rail freight transport on European mega-corridors have been achieved. These initiatives aim to enhance transportation efficiency, reduce environmental impacts, and improve safety. The proximity of Serbia to these key corridors, coupled with its involvement in these projects, presents an opportunity for the country to enhance its infrastructure, expand its business prospects, and increase its global market competitiveness. Furthermore, such developments will contribute significantly to Serbia’s economic growth and its integration into European transportation networks. This study evaluates the CREAM and RETRAC corridors by examining their effects on environmental sustainability, transportation safety, and economic development. The paper also assesses their overall efficiency and sustainability, providing valuable insights for strategic decision-making. Given the complex nature of intermodal freight corridors, the evaluation process incorporates Multi-criteria decision making (MCDM) techniques, considering a variety of performance indicators. Specifically, the hybrid model combining the Fuzzy Aggregated Distance-Based Measurement (FADAM) method and the Fuzzy Best-Worst Method (FBWM) is applied to offer a comprehensive analysis. This approach allows for the systematic assessment of the two corridors, supporting the development of strategies aimed at optimizing their performance and sustainability. 03-13-2025 <![CDATA[ The European Union has actively promoted the development of intermodal transport as a response to the ecological and safety challenges posed by global transportation flows. Through projects such as Customer-driven Rail-freight services on a European mega-corridor based on Advanced business and operating Models (CREAM) and Reorganization of Transport Networks through Advanced Rail Freight Concepts (RETRAC), substantial improvements in rail freight transport on European mega-corridors have been achieved. These initiatives aim to enhance transportation efficiency, reduce environmental impacts, and improve safety. The proximity of Serbia to these key corridors, coupled with its involvement in these projects, presents an opportunity for the country to enhance its infrastructure, expand its business prospects, and increase its global market competitiveness. Furthermore, such developments will contribute significantly to Serbia’s economic growth and its integration into European transportation networks. This study evaluates the CREAM and RETRAC corridors by examining their effects on environmental sustainability, transportation safety, and economic development. The paper also assesses their overall efficiency and sustainability, providing valuable insights for strategic decision-making. Given the complex nature of intermodal freight corridors, the evaluation process incorporates Multi-criteria decision making (MCDM) techniques, considering a variety of performance indicators. Specifically, the hybrid model combining the Fuzzy Aggregated Distance-Based Measurement (FADAM) method and the Fuzzy Best-Worst Method (FBWM) is applied to offer a comprehensive analysis. This approach allows for the systematic assessment of the two corridors, supporting the development of strategies aimed at optimizing their performance and sustainability. ]]> Comparative Evaluation of the CREAM and RETRAC Intermodal Freight Corridors: Environmental, Safety, and Economic Impacts mladen krstić snežana tadić marijana jolović miloš veljović doi: 10.56578/jgelcd040101 Journal of Green Economy and Low-Carbon Development 03-13-2025 Journal of Green Economy and Low-Carbon Development 03-13-2025 2025 4 1 Article 1 10.56578/jgelcd040101 https://www.acadlore.com/article/JGELCD/2025_4_1/jgelcd040101 https://www.acadlore.com/article/JGELCD/2024_3_4/jgelcd030405 Waste management has emerged as a critical environmental challenge globally, particularly in the context of rapid urbanization, which has significantly increased waste generation. Effective strategies for handling construction and demolition (C&amp;D) waste are essential to mitigate environmental impacts. In Libya, the aftermath of the 2011 conflict and subsequent instability has led to extensive destruction of public and private infrastructure. As reconstruction efforts accelerate, the absence of a structured framework for C&amp;D waste management remains a pressing concern, with current practices predominantly involving disposal in open dumps alongside municipal solid waste. This study employs the Full Consistency Method (FUCOM) to determine the relative importance of key criteria and the Evaluation Based on Distance from Average Solution (EDAS) method to assess alternative waste management strategies. The findings indicate that investment cost is the most influential criterion, followed by social acceptance. Among the evaluated strategies, landfilling emerged as the most suitable alternative. To ensure the robustness of the results, a sensitivity analysis was conducted by varying the weight distributions across seven additional scenarios, consistently reaffirming the superiority of landfilling. Furthermore, a comparative analysis was performed using three other Multi-Criteria Decision-Making (MCDM) models—COmbinative Distance-based ASsessment (CODAS), VIKOR, and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)—each corroborating the ranking of landfilling as the optimal strategy. The insights derived from this study underscore the necessity for policymakers to integrate cost-effective and socially acceptable solutions into Libya’s C&amp;D waste management framework to support sustainable reconstruction efforts. 12-30-2024 <![CDATA[ Waste management has emerged as a critical environmental challenge globally, particularly in the context of rapid urbanization, which has significantly increased waste generation. Effective strategies for handling construction and demolition (C&amp;D) waste are essential to mitigate environmental impacts. In Libya, the aftermath of the 2011 conflict and subsequent instability has led to extensive destruction of public and private infrastructure. As reconstruction efforts accelerate, the absence of a structured framework for C&amp;D waste management remains a pressing concern, with current practices predominantly involving disposal in open dumps alongside municipal solid waste. This study employs the Full Consistency Method (FUCOM) to determine the relative importance of key criteria and the Evaluation Based on Distance from Average Solution (EDAS) method to assess alternative waste management strategies. The findings indicate that investment cost is the most influential criterion, followed by social acceptance. Among the evaluated strategies, landfilling emerged as the most suitable alternative. To ensure the robustness of the results, a sensitivity analysis was conducted by varying the weight distributions across seven additional scenarios, consistently reaffirming the superiority of landfilling. Furthermore, a comparative analysis was performed using three other Multi-Criteria Decision-Making (MCDM) models—COmbinative Distance-based ASsessment (CODAS), VIKOR, and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)—each corroborating the ranking of landfilling as the optimal strategy. The insights derived from this study underscore the necessity for policymakers to integrate cost-effective and socially acceptable solutions into Libya’s C&amp;D waste management framework to support sustainable reconstruction efforts. ]]> Optimizing Construction and Demolition Waste Management Strategies in Libya: A FUCOM-EDAS Multi-Criteria Decision-Making Approach abdulaziz alossta isslam eltariki omar elmansouri ibrahim badi doi: 10.56578/jgelcd030405 Journal of Green Economy and Low-Carbon Development 12-30-2024 Journal of Green Economy and Low-Carbon Development 12-30-2024 2024 3 4 Article 258 10.56578/jgelcd030405 https://www.acadlore.com/article/JGELCD/2024_3_4/jgelcd030405 https://www.acadlore.com/article/JGELCD/2024_3_4/jgelcd030404 Under the "dual carbon" goals, green finance, as a financial activity aimed at optimizing resource allocation and protecting the environment, holds significant scientific importance for the rational adjustment and upgrading of regional industrial structures. Hebei Province, a key industrial hub in China, faces an urgent need for industrial structure adjustment and optimization. This paper employs time series data from Hebei Province spanning 2001 to 2023 to measure the development levels of green finance and industrial structure, and constructs a coupling coordination model to analyze their interactions. Furthermore, the study uses the GM (1,1) grey model to predict future trends. The results indicate that the coupling coordination degree between green finance and industrial structure upgrading in Hebei Province has steadily improved but remains at a moderate coupling stage. It is projected that the coupling coordination degree will continue to rise, entering a high coordination stage by 2032. 12-30-2024 <![CDATA[ <p>Under the "dual carbon" goals, green finance, as a financial activity aimed at optimizing resource allocation and protecting the environment, holds significant scientific importance for the rational adjustment and upgrading of regional industrial structures. Hebei Province, a key industrial hub in China, faces an urgent need for industrial structure adjustment and optimization. This paper employs time series data from Hebei Province spanning 2001 to 2023 to measure the development levels of green finance and industrial structure, and constructs a coupling coordination model to analyze their interactions. Furthermore, the study uses the GM (1,1) grey model to predict future trends. The results indicate that the coupling coordination degree between green finance and industrial structure upgrading in Hebei Province has steadily improved but remains at a moderate coupling stage. It is projected that the coupling coordination degree will continue to rise, entering a high coordination stage by 2032.</p> ]]> Coupling Coordination Between Green Finance Development and Industrial Structure Optimization: A Case Study of Hebei Province jiayu chen jinyu chen lijun zhao doi: 10.56578/jgelcd030404 Journal of Green Economy and Low-Carbon Development 12-30-2024 Journal of Green Economy and Low-Carbon Development 12-30-2024 2024 3 4 Article 248 10.56578/jgelcd030404 https://www.acadlore.com/article/JGELCD/2024_3_4/jgelcd030404 https://www.acadlore.com/article/JGELCD/2024_3_4/jgelcd030403 The development of green skills has gained significant attention in recent years, driven by the increasing global focus on achieving the Agenda 2030 goals and the United Nations Sustainable Development Goals (SDGs). Green skills are recognized as essential for fostering sustainable practices across industries, supporting the transition to a low-carbon economy, and addressing pressing environmental challenges. A notable surge in scholarly interest is observed, with 79% of publications related to "green skills development" in the Web of Science database being published after 2015. This indicates the growing recognition of green skills as a key element in advancing sustainability agendas. In this study, a bibliometric analysis was conducted using data from 962 articles extracted from the Web of Science database. The evolution of scientific output, thematic trends, and international collaboration patterns were examined. The analysis reveals a steady increase in publications, particularly post-2015, with an expanding range of research topics, including renewable energy, energy efficiency, green entrepreneurship, and climate adaptation. The distribution of authorship across countries highlights significant international cooperation, with countries from both the Global North and South actively contributing to the discourse. The findings underscore the interdisciplinary nature of green skills research, which spans diverse fields such as environmental science, education, policy studies, and technology. Moreover, the growing body of research reflects a clear shift towards integrating green skills within education and training systems as a means of achieving SDG targets, particularly those related to sustainable economic growth, decent work, and climate action. This study provides valuable insights into the emerging trends and collaborative networks in green skills development, offering a foundation for future research aimed at enhancing the effectiveness of green skill programs and policies. It is evident that continued focus on this area is critical for driving global sustainability efforts and achieving long-term environmental goals. 12-30-2024 <![CDATA[ <p>The development of green skills has gained significant attention in recent years, driven by the increasing global focus on achieving the Agenda 2030 goals and the United Nations Sustainable Development Goals (SDGs). Green skills are recognized as essential for fostering sustainable practices across industries, supporting the transition to a low-carbon economy, and addressing pressing environmental challenges. A notable surge in scholarly interest is observed, with 79% of publications related to "green skills development" in the Web of Science database being published after 2015. This indicates the growing recognition of green skills as a key element in advancing sustainability agendas. In this study, a bibliometric analysis was conducted using data from 962 articles extracted from the Web of Science database. The evolution of scientific output, thematic trends, and international collaboration patterns were examined. The analysis reveals a steady increase in publications, particularly post-2015, with an expanding range of research topics, including renewable energy, energy efficiency, green entrepreneurship, and climate adaptation. The distribution of authorship across countries highlights significant international cooperation, with countries from both the Global North and South actively contributing to the discourse. The findings underscore the interdisciplinary nature of green skills research, which spans diverse fields such as environmental science, education, policy studies, and technology. Moreover, the growing body of research reflects a clear shift towards integrating green skills within education and training systems as a means of achieving SDG targets, particularly those related to sustainable economic growth, decent work, and climate action. This study provides valuable insights into the emerging trends and collaborative networks in green skills development, offering a foundation for future research aimed at enhancing the effectiveness of green skill programs and policies. It is evident that continued focus on this area is critical for driving global sustainability efforts and achieving long-term environmental goals.</p> ]]> Bibliometric Analysis of Green Skills Development: Trends, International Collaboration, and Implications for Sustainable Development Goals gyöngyi toró ina nimerenco steliana mocanu doi: 10.56578/jgelcd030403 Journal of Green Economy and Low-Carbon Development 12-30-2024 Journal of Green Economy and Low-Carbon Development 12-30-2024 2024 3 4 Article 235 10.56578/jgelcd030403 https://www.acadlore.com/article/JGELCD/2024_3_4/jgelcd030403 https://www.acadlore.com/article/JGELCD/2024_3_4/jgelcd030402 Intralogistics activities within automotive industry warehouses play a critical role in the efficient management of materials, components, and finished goods throughout production and distribution processes. These activities contribute significantly to the optimization of warehouse space, reduction of delivery lead times, and minimization of storage costs. Furthermore, effectively implemented intralogistics processes are essential for ensuring continuous production and the timely delivery of high-quality products to customers. This study focuses on the enhancement of sustainability in intralogistics operations within warehouses by adopting innovative technologies, optimizing resource utilization, and minimizing environmental impact. The automotive industry’s supply chain was examined, with particular emphasis on the challenges associated with intralogistics and sustainability. The study explores the optimization of warehouse intralogistics processes, which directly affect operational efficiency, cost reduction, and overall productivity. Based on the identified challenges, three potential solutions—mini-load (ML) Automated Storage and Retrieval System (AS/RS), AutoStore systems (ASSs), and Autonomous Mobile Robots (AMRs)—were analyzed through a sustainability lens. The evaluation of these technologies was conducted with respect to various sustainability criteria, such as energy consumption, space efficiency, cost-effectiveness, and environmental impact. The primary objective is to identify the most suitable solution for improving the sustainability and operational efficiency of intralogistics processes within the automotive industry. By investigating the potential of these innovative technologies, the research aims to provide a comprehensive understanding of how they can address contemporary intralogistics challenges, enhance operational performance, and align with the broader objectives of environmental sustainability and cost optimization. 12-30-2024 <![CDATA[ Intralogistics activities within automotive industry warehouses play a critical role in the efficient management of materials, components, and finished goods throughout production and distribution processes. These activities contribute significantly to the optimization of warehouse space, reduction of delivery lead times, and minimization of storage costs. Furthermore, effectively implemented intralogistics processes are essential for ensuring continuous production and the timely delivery of high-quality products to customers. This study focuses on the enhancement of sustainability in intralogistics operations within warehouses by adopting innovative technologies, optimizing resource utilization, and minimizing environmental impact. The automotive industry’s supply chain was examined, with particular emphasis on the challenges associated with intralogistics and sustainability. The study explores the optimization of warehouse intralogistics processes, which directly affect operational efficiency, cost reduction, and overall productivity. Based on the identified challenges, three potential solutions—mini-load (ML) Automated Storage and Retrieval System (AS/RS), AutoStore systems (ASSs), and Autonomous Mobile Robots (AMRs)—were analyzed through a sustainability lens. The evaluation of these technologies was conducted with respect to various sustainability criteria, such as energy consumption, space efficiency, cost-effectiveness, and environmental impact. The primary objective is to identify the most suitable solution for improving the sustainability and operational efficiency of intralogistics processes within the automotive industry. By investigating the potential of these innovative technologies, the research aims to provide a comprehensive understanding of how they can address contemporary intralogistics challenges, enhance operational performance, and align with the broader objectives of environmental sustainability and cost optimization. ]]> Selecting Optimal Alternatives for Sustainable Intralogistics in Automotive Industry Warehouse Supply Chains svetlana dabić-miletić natalija knezevic doi: 10.56578/jgelcd030402 Journal of Green Economy and Low-Carbon Development 12-30-2024 Journal of Green Economy and Low-Carbon Development 12-30-2024 2024 3 4 Article 223 10.56578/jgelcd030402 https://www.acadlore.com/article/JGELCD/2024_3_4/jgelcd030402 https://www.acadlore.com/article/JGELCD/2024_3_4/jgelcd030401 Individuals with disabilities have long faced disproportionate economic disadvantages, including higher poverty rates, poorer health outcomes, limited access to education, and restricted employment opportunities compared to those without disabilities. The green economy, characterized by low carbon emissions, resource efficiency, and social inclusivity, holds the potential to address these persistent inequities by creating jobs that promote income equality and support sustainable livelihoods. However, despite the growing global shift toward carbon neutrality, there is a significant gap in understanding the challenges and opportunities faced by persons with disabilities in this transition. This scoping review aims to assess the current state of knowledge regarding the inclusion of persons with disabilities in the green economy, with a particular focus on the Global North. Literature published between 2012 and 2023 was systematically reviewed, resulting in the identification of 21 relevant studies from an initial pool of 4,311 abstracts. The findings were categorised into three primary themes: conceptual frameworks for inclusion in the green economy, the role of persons with disabilities as workers, and the role of persons with disabilities as consumers. The results underscore a critical lack of literature addressing disability inclusion in green economic development, with existing studies indicating that persons with disabilities have been systemically marginalized in efforts to foster low-carbon economies. This exclusion represents a missed opportunity to harness the talents, perspectives, and contributions of persons with disabilities, whether as workers, consumers, or agents of change in sustainable development. It is therefore imperative that the experiences and epistemologies of persons with disabilities are central to the design, planning, and implementation of green economy initiatives. Future research must address the existing gaps in the literature and explore strategies for fostering greater inclusion in green economic frameworks to ensure equitable opportunities for all individuals in the transition to a carbon-neutral world. 12-30-2024 <![CDATA[ Individuals with disabilities have long faced disproportionate economic disadvantages, including higher poverty rates, poorer health outcomes, limited access to education, and restricted employment opportunities compared to those without disabilities. The green economy, characterized by low carbon emissions, resource efficiency, and social inclusivity, holds the potential to address these persistent inequities by creating jobs that promote income equality and support sustainable livelihoods. However, despite the growing global shift toward carbon neutrality, there is a significant gap in understanding the challenges and opportunities faced by persons with disabilities in this transition. This scoping review aims to assess the current state of knowledge regarding the inclusion of persons with disabilities in the green economy, with a particular focus on the Global North. Literature published between 2012 and 2023 was systematically reviewed, resulting in the identification of 21 relevant studies from an initial pool of 4,311 abstracts. The findings were categorised into three primary themes: conceptual frameworks for inclusion in the green economy, the role of persons with disabilities as workers, and the role of persons with disabilities as consumers. The results underscore a critical lack of literature addressing disability inclusion in green economic development, with existing studies indicating that persons with disabilities have been systemically marginalized in efforts to foster low-carbon economies. This exclusion represents a missed opportunity to harness the talents, perspectives, and contributions of persons with disabilities, whether as workers, consumers, or agents of change in sustainable development. It is therefore imperative that the experiences and epistemologies of persons with disabilities are central to the design, planning, and implementation of green economy initiatives. Future research must address the existing gaps in the literature and explore strategies for fostering greater inclusion in green economic frameworks to ensure equitable opportunities for all individuals in the transition to a carbon-neutral world. ]]> Disability Inclusion in the Green Economy: A Scoping Review of Challenges, Barriers and Opportunities alexis buettgen katherine lofts emile tompa doi: 10.56578/jgelcd030401 Journal of Green Economy and Low-Carbon Development 12-30-2024 Journal of Green Economy and Low-Carbon Development 12-30-2024 2024 3 4 Article 208 10.56578/jgelcd030401 https://www.acadlore.com/article/JGELCD/2024_3_4/jgelcd030401 https://www.acadlore.com/article/JGELCD/2024_3_3/jgelcd030305 Lithium, as a critical resource underpinning strategic emerging industries, has garnered significant global attention due to its pivotal role in energy storage and clean energy applications. This study delineates the spatial economic network of China’s lithium industry by analysing data derived from lithium-related listed firms and their subsidiaries registered within the country. Employing social network analysis (SNA) and GeoDetector methods, the spatial characteristics and determinants of the economic network are systematically investigated. The findings reveal that lithium-related listed firms are predominantly concentrated in economically developed regions, including the Yangtze River Delta, Pearl River Delta, Hubei Province, and Henan Province. The economic network exhibits sparse connectivity but displays a small-world effect, characterised by a hierarchical structure with Shenzhen as the central hub, supported by significant nodes in Ningde and Shanghai. A distinct east-west disparity is observed, with dense linkages in the east contrasting with sparse connections in the west. Core cities within the network, primarily located in coastal regions, are identified as possessing strong economic development, favourable resource endowment, or well-established industrial foundations. These cities exhibit notable spatial agglomeration patterns around regional cores. Furthermore, the economic network is profoundly influenced by factors including economic development levels, local innovation capacity, openness to trade and investment, and policy environments conducive to industrial growth. These findings provide valuable insights into the spatial structure and driving mechanisms of China’s lithium industry, offering a robust basis for formulating targeted strategies to enhance the sector’s development and competitiveness. 09-29-2024 <![CDATA[ Lithium, as a critical resource underpinning strategic emerging industries, has garnered significant global attention due to its pivotal role in energy storage and clean energy applications. This study delineates the spatial economic network of China’s lithium industry by analysing data derived from lithium-related listed firms and their subsidiaries registered within the country. Employing social network analysis (SNA) and GeoDetector methods, the spatial characteristics and determinants of the economic network are systematically investigated. The findings reveal that lithium-related listed firms are predominantly concentrated in economically developed regions, including the Yangtze River Delta, Pearl River Delta, Hubei Province, and Henan Province. The economic network exhibits sparse connectivity but displays a small-world effect, characterised by a hierarchical structure with Shenzhen as the central hub, supported by significant nodes in Ningde and Shanghai. A distinct east-west disparity is observed, with dense linkages in the east contrasting with sparse connections in the west. Core cities within the network, primarily located in coastal regions, are identified as possessing strong economic development, favourable resource endowment, or well-established industrial foundations. These cities exhibit notable spatial agglomeration patterns around regional cores. Furthermore, the economic network is profoundly influenced by factors including economic development levels, local innovation capacity, openness to trade and investment, and policy environments conducive to industrial growth. These findings provide valuable insights into the spatial structure and driving mechanisms of China’s lithium industry, offering a robust basis for formulating targeted strategies to enhance the sector’s development and competitiveness. ]]> Spatial Economic Network of China’s Lithium Industry: A Geo-Analytical Perspective on Lithium-Related Listed Firms haiyan zhou zhimin ren feng hu liping qiu bingnan guo hao hu xiaoping wang shaobin wei doi: 10.56578/jgelcd030305 Journal of Green Economy and Low-Carbon Development 09-29-2024 Journal of Green Economy and Low-Carbon Development 09-29-2024 2024 3 3 Article 195 10.56578/jgelcd030305 https://www.acadlore.com/article/JGELCD/2024_3_3/jgelcd030305 https://www.acadlore.com/article/JGELCD/2024_3_3/jgelcd030304 Solid waste management in rural areas remains an underexplored domain, despite its growing significance in the context of environmental sustainability and the circular economy. Key challenges include inadequate municipal infrastructure, a shortage of waste collection containers, and the absence of suitable vehicle fleets capable of navigating narrow and steep rural pathways. Moreover, the lack of a strategic framework for waste management, the insufficient application of the 3R (Reduce, Reuse, Recycle) principles, and the absence of circular economy practices further exacerbate these issues. In rural areas, approximately 40% of the waste produced is organic and could be used as a resource for compost production, a valuable input for organic agricultural practices. Projections suggest that by 2027, biowaste will account for 8% of the total waste generated in rural communities. The transition to a circular economy offers significant potential for transforming waste management practices in these areas. Emphasis on innovative collection methods, such as localised and adaptive waste separation techniques, can facilitate this transition. The adoption of circular economy principles in waste management strategies is critical, not only for reducing environmental impact but also for promoting resource efficiency, enhancing soil fertility, and supporting sustainable local economies. Raising public awareness, engaging local communities, and introducing more effective waste management systems will be vital in overcoming existing barriers and ensuring the success of these initiatives. 09-29-2024 <![CDATA[ <p>Solid waste management in rural areas remains an underexplored domain, despite its growing significance in the context of environmental sustainability and the circular economy. Key challenges include inadequate municipal infrastructure, a shortage of waste collection containers, and the absence of suitable vehicle fleets capable of navigating narrow and steep rural pathways. Moreover, the lack of a strategic framework for waste management, the insufficient application of the 3R (Reduce, Reuse, Recycle) principles, and the absence of circular economy practices further exacerbate these issues. In rural areas, approximately 40% of the waste produced is organic and could be used as a resource for compost production, a valuable input for organic agricultural practices. Projections suggest that by 2027, biowaste will account for 8% of the total waste generated in rural communities. The transition to a circular economy offers significant potential for transforming waste management practices in these areas. Emphasis on innovative collection methods, such as localised and adaptive waste separation techniques, can facilitate this transition. The adoption of circular economy principles in waste management strategies is critical, not only for reducing environmental impact but also for promoting resource efficiency, enhancing soil fertility, and supporting sustainable local economies. Raising public awareness, engaging local communities, and introducing more effective waste management systems will be vital in overcoming existing barriers and ensuring the success of these initiatives.</p> ]]> Innovative Approaches to Solid Waste Collection in Rural Areas: Advancing Circular Economy Practices Through Sustainable Waste Management boris novarlić željko stević doi: 10.56578/jgelcd030304 Journal of Green Economy and Low-Carbon Development 09-29-2024 Journal of Green Economy and Low-Carbon Development 09-29-2024 2024 3 3 Article 187 10.56578/jgelcd030304 https://www.acadlore.com/article/JGELCD/2024_3_3/jgelcd030304 https://www.acadlore.com/article/JGELCD/2024_3_3/jgelcd030303 This study investigates accountants' role and challenges in large Maltese entities' environmental reporting (ER) processes (LMEs). A qualitative approach was employed, primarily based on semi-structured interviews with 29 participants, including Chief Financial Officers (CFOs), Chief Sustainability Officers (CSOs), and sustainability-related service providers. The findings indicate that accountants predominantly support ER, rather than being directly responsible for its preparation. Their involvement is influenced by factors such as their reputation for trustworthiness, the demand for environmental information within the organisation, and the availability of human resources. Despite their recognised expertise in financial reporting, accountants' contribution to ER is often limited to the financial dimension due to their relatively narrow understanding of sustainability issues. Consequently, an execution gap has emerged between accountants' potential and actual involvement in ER, with many organisations still in the early stages of ER development, focusing on compliance rather than comprehensive environmental performance. The study also highlights that, although current involvement is restricted, the growing regulatory emphasis on sustainability reporting (SR) will likely expand the role of accountants in the future. The research underscores the need for accountants to broaden their skill sets to accommodate the evolving demands of environmental and SR. This study contributes to the existing literature by offering insights specific to the context of Maltese entities. It provides a foundation for future research on the evolving role of accountants in SR. 09-29-2024 <![CDATA[ This study investigates accountants' role and challenges in large Maltese entities' environmental reporting (ER) processes (LMEs). A qualitative approach was employed, primarily based on semi-structured interviews with 29 participants, including Chief Financial Officers (CFOs), Chief Sustainability Officers (CSOs), and sustainability-related service providers. The findings indicate that accountants predominantly support ER, rather than being directly responsible for its preparation. Their involvement is influenced by factors such as their reputation for trustworthiness, the demand for environmental information within the organisation, and the availability of human resources. Despite their recognised expertise in financial reporting, accountants' contribution to ER is often limited to the financial dimension due to their relatively narrow understanding of sustainability issues. Consequently, an execution gap has emerged between accountants' potential and actual involvement in ER, with many organisations still in the early stages of ER development, focusing on compliance rather than comprehensive environmental performance. The study also highlights that, although current involvement is restricted, the growing regulatory emphasis on sustainability reporting (SR) will likely expand the role of accountants in the future. The research underscores the need for accountants to broaden their skill sets to accommodate the evolving demands of environmental and SR. This study contributes to the existing literature by offering insights specific to the context of Maltese entities. It provides a foundation for future research on the evolving role of accountants in SR. ]]> Role and Challenges of Accountants in Environmental Reporting: An Analysis of Large Maltese Entities reuben psaila peter j. baldacchino lauren ellul norbert tabone simon grima doi: 10.56578/jgelcd030303 Journal of Green Economy and Low-Carbon Development 09-29-2024 Journal of Green Economy and Low-Carbon Development 09-29-2024 2024 3 3 Article 173 10.56578/jgelcd030303 https://www.acadlore.com/article/JGELCD/2024_3_3/jgelcd030303 https://www.acadlore.com/article/JGELCD/2024_3_3/jgelcd030302 As ecological civilization becomes a key national development strategy, green finance, which aims for sustainable development, plays a significant role in fostering regional economic growth. At the same time, local governments actively respond to central policies and, in the process of exploring financial reform and innovation, need to quantitatively assess the effectiveness of these policies. This paper takes the establishment of Green Finance Reform and Innovation Pilot Zones as a quasi-natural experiment to examine the impact of this policy on regional economic growth and its underlying mechanisms. The study finds that the establishment of Green Finance Reform and Innovation Pilot Zones effectively promotes regional economic growth, and the conclusion remains robust after conducting various sensitivity analyses. Further heterogeneity analysis explores the differing impacts of the policy in various regions, while considering green innovation as a positive mechanism mediating the relationship between the policy and economic growth. This study provides insights into the shift from “quantity” to “quality” in regional economic development. 09-29-2024 <![CDATA[ As ecological civilization becomes a key national development strategy, green finance, which aims for sustainable development, plays a significant role in fostering regional economic growth. At the same time, local governments actively respond to central policies and, in the process of exploring financial reform and innovation, need to quantitatively assess the effectiveness of these policies. This paper takes the establishment of Green Finance Reform and Innovation Pilot Zones as a quasi-natural experiment to examine the impact of this policy on regional economic growth and its underlying mechanisms. The study finds that the establishment of Green Finance Reform and Innovation Pilot Zones effectively promotes regional economic growth, and the conclusion remains robust after conducting various sensitivity analyses. Further heterogeneity analysis explores the differing impacts of the policy in various regions, while considering green innovation as a positive mechanism mediating the relationship between the policy and economic growth. This study provides insights into the shift from “quantity” to “quality” in regional economic development. ]]> Impact of Green Finance Reform and Innovation Pilot Zones on Regional Economic Growth guangning wang yuanhua yang yinjun xu doi: 10.56578/jgelcd030302 Journal of Green Economy and Low-Carbon Development 09-29-2024 Journal of Green Economy and Low-Carbon Development 09-29-2024 2024 3 3 Article 161 10.56578/jgelcd030302 https://www.acadlore.com/article/JGELCD/2024_3_3/jgelcd030302 https://www.acadlore.com/article/JGELCD/2024_3_3/jgelcd030301 In light of the intricate interconnection of current global challenges, energy security concerns, and global warming, the strategic pursuit of renewable hydrogen has emerged as a beacon of promise. Consequently, Canada, in alignment with its global environmental commitments and supported by partnerships with entities such as the European Union, is actively working to harness its significant potential in sustainable hydrogen production and distribution. This study undertakes a systematic review and bibliometric analysis of 55 scientific papers focused on hydrogen production and distribution in Canada, published up to September 2023. Firstly, a comprehensive synthesis of these papers is provided across four key dimensions: production, distribution, optimization, and sustainability. Secondly, critical insights into the evolution of hydrogen research and the collaborations shaping the field are unveiled through bibliometric analysis, employing Bibliometrix, an R-package designed for comprehensive science mapping and bibliometric analysis. The findings are intended to offer valuable insights to academic, public, and business communities, enabling them to better utilize available resources, enhance teamwork, and contribute to a more sustainable global energy landscape. 08-09-2024 <![CDATA[ <p>In light of the intricate interconnection of current global challenges, energy security concerns, and global warming, the strategic pursuit of renewable hydrogen has emerged as a beacon of promise. Consequently, Canada, in alignment with its global environmental commitments and supported by partnerships with entities such as the European Union, is actively working to harness its significant potential in sustainable hydrogen production and distribution. This study undertakes a systematic review and bibliometric analysis of 55 scientific papers focused on hydrogen production and distribution in Canada, published up to September 2023. Firstly, a comprehensive synthesis of these papers is provided across four key dimensions: production, distribution, optimization, and sustainability. Secondly, critical insights into the evolution of hydrogen research and the collaborations shaping the field are unveiled through bibliometric analysis, employing Bibliometrix, an R-package designed for comprehensive science mapping and bibliometric analysis. The findings are intended to offer valuable insights to academic, public, and business communities, enabling them to better utilize available resources, enhance teamwork, and contribute to a more sustainable global energy landscape.</p> ]]> A Systematic Review and Bibliometric Analysis of Sustainable Hydrogen Production and Distribution in Canada priya sakthi davoud ghahremanlou doi: 10.56578/jgelcd030301 Journal of Green Economy and Low-Carbon Development 08-09-2024 Journal of Green Economy and Low-Carbon Development 08-09-2024 2024 3 3 Article 132 10.56578/jgelcd030301 https://www.acadlore.com/article/JGELCD/2024_3_3/jgelcd030301 https://www.acadlore.com/article/JGELCD/2024_3_2/jgelcd030205 Environmental challenges are increasingly addressed through movements that promote environmental care and awareness. Consumers with a high degree of environmental consciousness are more inclined to purchase environmentally friendly or “green" products, perceiving these purchases as a contribution to environmental sustainability. This research aims to analyze the relationship between purchasing decisions for green products and the factors that influence them, further ensuring the stability of findings in environmentally friendly marketing in the context of company development to assess long-term stability. The research utilizes two methodologies: Structural Equation Modeling (SEM) with Partial Least Squares (PLS) is employed to identify and quantify the relationships between green product purchasing decisions and key influencing factors, including green product knowledge, consumer perception, and perceived price. Meanwhile, dynamic system simulation is used to measure the stability and evolution of green product purchasing decisions over time. The findings reveal that the relationships between these influencing variables are statistically significant and demonstrate a stable trend. The dynamic simulation indicates that the expected values for green product purchasing decisions are consistently achieved annually, reaching a stable equilibrium within a decade. These outcomes provide valuable insights for designing marketing strategies that enhance consumer awareness of green products and assist in decision-making processes, thereby promoting sustainable consumer behavior. The practical implications of this research are twofold: it offers strategic guidance for companies aiming to market green products effectively and provides consumers with a framework to make informed purchasing decisions that align with environmental sustainability goals. 06-29-2024 <![CDATA[ <p>Environmental challenges are increasingly addressed through movements that promote environmental care and awareness. Consumers with a high degree of environmental consciousness are more inclined to purchase environmentally friendly or “green" products, perceiving these purchases as a contribution to environmental sustainability. This research aims to analyze the relationship between purchasing decisions for green products and the factors that influence them, further ensuring the stability of findings in environmentally friendly marketing in the context of company development to assess long-term stability. The research utilizes two methodologies: Structural Equation Modeling (SEM) with Partial Least Squares (PLS) is employed to identify and quantify the relationships between green product purchasing decisions and key influencing factors, including green product knowledge, consumer perception, and perceived price. Meanwhile, dynamic system simulation is used to measure the stability and evolution of green product purchasing decisions over time. The findings reveal that the relationships between these influencing variables are statistically significant and demonstrate a stable trend. The dynamic simulation indicates that the expected values for green product purchasing decisions are consistently achieved annually, reaching a stable equilibrium within a decade. These outcomes provide valuable insights for designing marketing strategies that enhance consumer awareness of green products and assist in decision-making processes, thereby promoting sustainable consumer behavior. The practical implications of this research are twofold: it offers strategic guidance for companies aiming to market green products effectively and provides consumers with a framework to make informed purchasing decisions that align with environmental sustainability goals.</p> ]]> Modeling Consumer Decisions for Purchasing Green Products: Insights into Environmentally Conscious Companies fauziyah nur jamal ahmad rizal solihudin bagus gumelar mustika rahmi filda rahmiati eshin selina doi: 10.56578/jgelcd030205 Journal of Green Economy and Low-Carbon Development 06-29-2024 Journal of Green Economy and Low-Carbon Development 06-29-2024 2024 3 2 Article 122 10.56578/jgelcd030205 https://www.acadlore.com/article/JGELCD/2024_3_2/jgelcd030205 https://www.acadlore.com/article/JGELCD/2024_3_2/jgelcd030204 The development of green farmhouse technology is crucial for advancing sustainable agricultural practices in China. However, the comprehensive promotion and effective implementation of green farmhouse construction are significantly hindered by the underdevelopment and immaturity of the required technologies. This study aims to identify and analyze the key factors that impede the development of green farmhouse technology and to elucidate the interrelationships among these factors. A systematic literature review was conducted to determine the primary barriers to green farmhouse technology development. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was employed to examine the interdependencies among these factors, providing insight into their mutual influence and centrality. Subsequently, Interpretive Structural Modeling (ISM) was applied to establish a hierarchical structure, revealing the multi-level relationships among the identified barriers. Finally, the Multiplication of Cross-Impact Matrices (MICMAC) analysis was utilized to further categorize the factors based on their driving power and dependence. The findings indicate that the development of green building materials, research and development (R&D) funding, and technological expertise are the core factors impeding the advancement of green farmhouse technology. These barriers were classified into six hierarchical levels and grouped into four categories: autonomous, dependent, linked, and independent factors. Through the combined application of DEMATEL, ISM, and MICMAC, a comprehensive understanding of the hierarchical structure and the interrelationships among these barriers was achieved. The factors were further categorized into three groups: budget and funding constraints, green farmhouse technology R&D challenges, and technology promotion and selection obstacles. The insights derived from this study provide a theoretical foundation for developing strategies to overcome these impediments, thereby facilitating the broader adoption of green farmhouse technology in China. 06-29-2024 <![CDATA[ <p>The development of green farmhouse technology is crucial for advancing sustainable agricultural practices in China. However, the comprehensive promotion and effective implementation of green farmhouse construction are significantly hindered by the underdevelopment and immaturity of the required technologies. This study aims to identify and analyze the key factors that impede the development of green farmhouse technology and to elucidate the interrelationships among these factors. A systematic literature review was conducted to determine the primary barriers to green farmhouse technology development. The Decision-Making Trial and Evaluation Laboratory (DEMATEL) method was employed to examine the interdependencies among these factors, providing insight into their mutual influence and centrality. Subsequently, Interpretive Structural Modeling (ISM) was applied to establish a hierarchical structure, revealing the multi-level relationships among the identified barriers. Finally, the Multiplication of Cross-Impact Matrices (MICMAC) analysis was utilized to further categorize the factors based on their driving power and dependence. The findings indicate that the development of green building materials, research and development (R&D) funding, and technological expertise are the core factors impeding the advancement of green farmhouse technology. These barriers were classified into six hierarchical levels and grouped into four categories: autonomous, dependent, linked, and independent factors. Through the combined application of DEMATEL, ISM, and MICMAC, a comprehensive understanding of the hierarchical structure and the interrelationships among these barriers was achieved. The factors were further categorized into three groups: budget and funding constraints, green farmhouse technology R&D challenges, and technology promotion and selection obstacles. The insights derived from this study provide a theoretical foundation for developing strategies to overcome these impediments, thereby facilitating the broader adoption of green farmhouse technology in China.</p> ]]> Analyzing Technical Barriers to Green Farmhouse Construction in China: A DEMATEL-ISM-MICMAC Approach jiaqi wei zaohong zhou quan yu jiawei xie xuan cheng yuxing hong doi: 10.56578/jgelcd030204 Journal of Green Economy and Low-Carbon Development 06-29-2024 Journal of Green Economy and Low-Carbon Development 06-29-2024 2024 3 2 Article 106 10.56578/jgelcd030204 https://www.acadlore.com/article/JGELCD/2024_3_2/jgelcd030204 https://www.acadlore.com/article/JGELCD/2024_3_2/jgelcd030203 In response to the global momentum toward carbon neutrality, the concept of “zero carbon" parks has gained significant attention in the energy and construction sectors. While existing research primarily focuses on optimizing standalone energy systems, a comprehensive methodological framework for evaluating the planning and management of integrated energy systems (IES) within zero-carbon parks remains underexplored. This study addresses this gap by examining the challenges inherent in the zero-carbon transformation of parks and proposing a multi-dimensional assessment index system tailored to IES. The evaluation framework encompasses five critical dimensions: environment, technology, economy, energy, and sustainability. To accurately determine the relative importance of these dimensions, the Analytic Hierarchy Process (AHP) and the Criteria Importance Through Intercriteria Correlation (CRITIC) method are employed for initial weight assignment, which is subsequently refined through game theory optimization. The fuzzy comprehensive evaluation method is then utilized to rigorously assess the benefits of IES across the planning, construction, and operational phases of zero-carbon parks. The findings highlight that the planning and operational stages are of greater significance than the construction phase. Specifically, the planning stage prioritizes environmental impact and technical advantages, while the operational phase emphasizes the equilibrium between economic benefits and ecological responsibilities. This research provides a scientific basis for the strategic planning and management of IES in zero-carbon parks, offering valuable insights for project managers and decision-makers in prioritizing resources across different project stages to achieve sustainable development. By addressing the current research gap, the study not only advances the understanding of IES in zero-carbon parks but also contributes practical guidance for achieving global carbon reduction goals. 06-29-2024 <![CDATA[ <p>In response to the global momentum toward carbon neutrality, the concept of “zero carbon" parks has gained significant attention in the energy and construction sectors. While existing research primarily focuses on optimizing standalone energy systems, a comprehensive methodological framework for evaluating the planning and management of integrated energy systems (IES) within zero-carbon parks remains underexplored. This study addresses this gap by examining the challenges inherent in the zero-carbon transformation of parks and proposing a multi-dimensional assessment index system tailored to IES. The evaluation framework encompasses five critical dimensions: environment, technology, economy, energy, and sustainability. To accurately determine the relative importance of these dimensions, the Analytic Hierarchy Process (AHP) and the Criteria Importance Through Intercriteria Correlation (CRITIC) method are employed for initial weight assignment, which is subsequently refined through game theory optimization. The fuzzy comprehensive evaluation method is then utilized to rigorously assess the benefits of IES across the planning, construction, and operational phases of zero-carbon parks. The findings highlight that the planning and operational stages are of greater significance than the construction phase. Specifically, the planning stage prioritizes environmental impact and technical advantages, while the operational phase emphasizes the equilibrium between economic benefits and ecological responsibilities. This research provides a scientific basis for the strategic planning and management of IES in zero-carbon parks, offering valuable insights for project managers and decision-makers in prioritizing resources across different project stages to achieve sustainable development. By addressing the current research gap, the study not only advances the understanding of IES in zero-carbon parks but also contributes practical guidance for achieving global carbon reduction goals.</p> ]]> Multi-Dimensional Evaluation of the Operational Benefits of Integrated Energy Systems in Zero-Carbon Parks Using Game Theory and Fuzzy Comprehensive Evaluation tianqing shen long sun doi: 10.56578/jgelcd030203 Journal of Green Economy and Low-Carbon Development 06-29-2024 Journal of Green Economy and Low-Carbon Development 06-29-2024 2024 3 2 Article 82 10.56578/jgelcd030203 https://www.acadlore.com/article/JGELCD/2024_3_2/jgelcd030203 https://www.acadlore.com/article/JGELCD/2024_3_2/jgelcd030202 This study focuses on enhancing energy resilience in Repulse Bay, a remote community in Nunavut, facing significant power challenges due to the reliance on aging diesel generators. To address these issues, this research explores the development of sustainable hybrid energy systems using HOMER Pro. The optimization results identify a configuration integrating wind turbines and solar panels as the optimal techno-economic solution. The expected outcomes include a substantial reduction in greenhouse gas emissions, increased reliability of energy supply, and significant economic benefits. The proposed hybrid energy system achieves a net present cost of $20.66 million while significantly increasing the renewable energy fraction to 75%. This system drastically reduces greenhouse gas emissions by 60%, aligning with Canada’s goal of achieving net-zero emissions by 2050. Additionally, the implementation of this system is projected to create 149 jobs, thus supporting local economic growth. The findings highlight the potential for similar Arctic communities to transition to renewable energy, contributing to global renewable energy efforts. This study not only demonstrates the viability of hybrid energy systems in reducing environmental impact and operational costs but also underscores their broader implications for sustainable development in other remote Arctic regions and beyond. By adopting such systems, Arctic communities can significantly enhance their energy resilience, reduce their carbon footprint, and stimulate economic growth, thereby aligning local initiatives with global sustainability goals. 06-29-2024 <![CDATA[ <p><span>This study focuses on enhancing energy resilience in Repulse Bay, a remote community in Nunavut, facing significant power challenges due to the reliance on aging diesel generators. To address these issues, this research explores the development of sustainable hybrid energy systems using HOMER Pro. The optimization results identify a configuration integrating wind turbines and solar panels as the optimal techno-economic solution. The expected outcomes include a substantial reduction in greenhouse gas emissions, increased reliability of energy supply, and significant economic benefits. The proposed hybrid energy system achieves a net present cost of $20.66 million while significantly increasing the renewable energy fraction to 75%. This system drastically reduces greenhouse gas emissions by 60%, aligning with Canada’s goal of achieving net-zero emissions by 2050. Additionally, the implementation of this system is projected to create 149 jobs, thus supporting local economic growth. The findings highlight the potential for similar Arctic communities to transition to renewable energy, contributing to global renewable energy efforts. This study not only demonstrates the viability of hybrid energy systems in reducing environmental impact and operational costs but also underscores their broader implications for sustainable development in other remote Arctic regions and beyond. By adopting such systems, Arctic communities can significantly enhance their energy resilience, reduce their carbon footprint, and stimulate economic growth, thereby aligning local initiatives with global sustainability goals.</span></p> ]]> Optimizing Hybrid Energy Solutions for Enhanced Energy Resilience and Sustainability in Repulse Bay Using HOMER Pro amirbehnam ashouri vajari siddhanth kotian samaneh shirinnezhad davoud ghahremanlou doi: 10.56578/jgelcd030202 Journal of Green Economy and Low-Carbon Development 06-29-2024 Journal of Green Economy and Low-Carbon Development 06-29-2024 2024 3 2 Article 69 10.56578/jgelcd030202 https://www.acadlore.com/article/JGELCD/2024_3_2/jgelcd030202 https://www.acadlore.com/article/JGELCD/2024_3_2/jgelcd030201 This study investigates perceptions of greenwashing within Indonesia's burgeoning fintech sector from the viewpoints of consumers and industry professionals. The research employs a stratified purposive sampling technique to ensure representation across diverse demographics familiar with fintech services. Purposive sampling identified and selected 18 consumers and 24 industry professionals with specific expertise relevant to fintech. Both groups participated in Likert-scale surveys designed to gauge their perceptions of greenwashing across various dimensions: product transparency, social responsibility, environmental impact, ethical investment options, and green marketing practices. Findings reveal generally positive consumer views towards product transparency (4.0), social responsibility (4.2), and green marketing practices (4.5), with more tempered ratings for environmental impact (3.5) and ethical investment options (3.8). Similarly, industry professionals rated product transparency (4.2), social responsibility (4.1), and green marketing practices (4.3) positively, with slightly higher ratings for environmental impact (3.9) and comparable ratings for ethical investment options (3.7). Hypothesis testing indicates significant disparities between consumer and professional perceptions, particularly concerning trust in fintech claims and perceived sustainability impacts. The study underscores the need for fintech firms to enhance transparency and ethical standards to bolster consumer trust and align with industry expectations. Ultimately, this research contributes to a deeper understanding of greenwashing within fintech, offering insights for industry stakeholders and policymakers to foster sustainable practices. 06-29-2024 <![CDATA[ <p>This study investigates perceptions of greenwashing within Indonesia's burgeoning fintech sector from the viewpoints of consumers and industry professionals. The research employs a stratified purposive sampling technique to ensure representation across diverse demographics familiar with fintech services. Purposive sampling identified and selected 18 consumers and 24 industry professionals with specific expertise relevant to fintech. Both groups participated in Likert-scale surveys designed to gauge their perceptions of greenwashing across various dimensions: product transparency, social responsibility, environmental impact, ethical investment options, and green marketing practices. Findings reveal generally positive consumer views towards product transparency (4.0), social responsibility (4.2), and green marketing practices (4.5), with more tempered ratings for environmental impact (3.5) and ethical investment options (3.8). Similarly, industry professionals rated product transparency (4.2), social responsibility (4.1), and green marketing practices (4.3) positively, with slightly higher ratings for environmental impact (3.9) and comparable ratings for ethical investment options (3.7). Hypothesis testing indicates significant disparities between consumer and professional perceptions, particularly concerning trust in fintech claims and perceived sustainability impacts. The study underscores the need for fintech firms to enhance transparency and ethical standards to bolster consumer trust and align with industry expectations. Ultimately, this research contributes to a deeper understanding of greenwashing within fintech, offering insights for industry stakeholders and policymakers to foster sustainable practices.</p> ]]> Unveiling Greenwashing in Indonesia’s Fintech Sector: Perspectives of Consumers and Industry Professionals askar garad abdullah m. al-ansi rita kusumawati mohammed jaboob doi: 10.56578/jgelcd030201 Journal of Green Economy and Low-Carbon Development 06-29-2024 Journal of Green Economy and Low-Carbon Development 06-29-2024 2024 3 2 Article 56 10.56578/jgelcd030201 https://www.acadlore.com/article/JGELCD/2024_3_2/jgelcd030201 https://www.acadlore.com/article/JGELCD/2024_3_1/jgelcd030105 In recent years, environmental protection has become an indispensable component of China's economic development, with its significance increasingly emphasized. National efforts towards environmental governance have expanded from traditional high-pollution industries to encompass all sectors with potential environmental impacts, demonstrating a comprehensive and multi-layered commitment to environmental management. However, within the domain of environmental cost accounting, research and practice have predominantly concentrated on traditional heavy industries such as coal and chemical sectors, leaving a gap in other industries, particularly in light industries such as the sugar industry. Given that the sugar industry is one of the top ten water polluting industries in China, it is particularly necessary to explore its environmental cost accounting. One side, this study addresses this gap by shifting the research focus to the sugar industry, thereby broadening the scope of environmental cost accounting. On the other side, utilizing Material Flow Cost Accounting (MFCA), this research quantifies the environmental costs incurred during the sugar production process, applying its accounting principles to divide materials in enterprise production activities into positive and negative products, elucidating the extent of environmental pollution and resource wastage. This approach not only enhances corporate environmental responsibility but also provides practical insights for the sustainable development of the industry and the formulation of governmental policies. 03-30-2024 <![CDATA[ <p>In recent years, environmental protection has become an indispensable component of China's economic development, with its significance increasingly emphasized. National efforts towards environmental governance have expanded from traditional high-pollution industries to encompass all sectors with potential environmental impacts, demonstrating a comprehensive and multi-layered commitment to environmental management. However, within the domain of environmental cost accounting, research and practice have predominantly concentrated on traditional heavy industries such as coal and chemical sectors, leaving a gap in other industries, particularly in light industries such as the sugar industry. Given that the sugar industry is one of the top ten water polluting industries in China, it is particularly necessary to explore its environmental cost accounting. One side, this study addresses this gap by shifting the research focus to the sugar industry, thereby broadening the scope of environmental cost accounting. On the other side, utilizing Material Flow Cost Accounting (MFCA), this research quantifies the environmental costs incurred during the sugar production process, applying its accounting principles to divide materials in enterprise production activities into positive and negative products, elucidating the extent of environmental pollution and resource wastage. This approach not only enhances corporate environmental responsibility but also provides practical insights for the sustainable development of the industry and the formulation of governmental policies.</p> ]]> Environmental Cost Accounting in the Sugar Industry: An MFCA Perspective on “Sweet” Environmental Burdens cheng wang xin fu doi: 10.56578/jgelcd030105 Journal of Green Economy and Low-Carbon Development 03-30-2024 Journal of Green Economy and Low-Carbon Development 03-30-2024 2024 3 1 Article 45 10.56578/jgelcd030105 https://www.acadlore.com/article/JGELCD/2024_3_1/jgelcd030105 https://www.acadlore.com/article/JGELCD/2024_3_1/jgelcd030104 The transport sector, pivotal in sustaining economic activity and regional development, stands as a double-edged sword, enhancing competitiveness and mobility while posing substantial challenges to environmental sustainability. It remains heavily dependent on fossil fuels, characterized by inefficient infrastructure and scant emphasis on environmental stewardship. This trajectory not only undermines long-term viability but also exacerbates pollution levels, including greenhouse gases and air and noise pollutants, thus degrading environmental quality and posing health risks globally. Consequently, there is an imperative need for a paradigm shift towards sustainable transport practices. This study employs the Ranking Alternatives with Weights of Criterion (RAWEC) methodology to assess the sustainability of various transport modes within the European Union in 2020. Evaluation criteria included employment numbers, turnover, final energy consumption, greenhouse gas emissions, and transport-related fatalities. Criterion weight coefficients were calculated using the Standard Deviation Method, Entropy, and FANMA methods. The findings underscore the necessity for strategic adjustments in transportation planning and policy to align with sustainability objectives. 03-30-2024 <![CDATA[ The transport sector, pivotal in sustaining economic activity and regional development, stands as a double-edged sword, enhancing competitiveness and mobility while posing substantial challenges to environmental sustainability. It remains heavily dependent on fossil fuels, characterized by inefficient infrastructure and scant emphasis on environmental stewardship. This trajectory not only undermines long-term viability but also exacerbates pollution levels, including greenhouse gases and air and noise pollutants, thus degrading environmental quality and posing health risks globally. Consequently, there is an imperative need for a paradigm shift towards sustainable transport practices. This study employs the Ranking Alternatives with Weights of Criterion (RAWEC) methodology to assess the sustainability of various transport modes within the European Union in 2020. Evaluation criteria included employment numbers, turnover, final energy consumption, greenhouse gas emissions, and transport-related fatalities. Criterion weight coefficients were calculated using the Standard Deviation Method, Entropy, and FANMA methods. The findings underscore the necessity for strategic adjustments in transportation planning and policy to align with sustainability objectives. ]]> Multicriteria Sustainability Assessment of Transport Modes: A European Union Case Study for 2020 nikola petrović vesna jovanović saša marković dragan marinković marijana petrović doi: 10.56578/jgelcd030104 Journal of Green Economy and Low-Carbon Development 03-30-2024 Journal of Green Economy and Low-Carbon Development 03-30-2024 2024 3 1 Article 36 10.56578/jgelcd030104 https://www.acadlore.com/article/JGELCD/2024_3_1/jgelcd030104 https://www.acadlore.com/article/JGELCD/2024_3_1/jgelcd030103 This investigation seeks to uncover empirical evidence concerning the correlation between board diversity—including gender and nationality diversity—and the establishment of environmental committees, in relation to carbon emission disclosures by firms in Southeast Asia over the period 2018 to 2022. Analysis was conducted on a dataset comprising 210 firm-year observations, selected through purposive sampling from companies listed on the FTSE4Good ASEAN Index 2023. Utilizing a multiple linear regression model, the study revealed that diversity in board nationality and the existence of environmental committees are positively associated with the level of carbon emission disclosures by companies. Conversely, the presence of women on boards (WOB) was found to have no significant impact on the disclosure of carbon emissions. This research enriches the existing body of literature by delivering empirical insights from the Southeast Asian context, thereby contributing to a nuanced understanding of how corporate governance mechanisms influence environmental transparency. The findings underscore the critical role of board nationality diversity and environmental committees in enhancing carbon emission disclosures, suggesting that these factors may serve as vital levers for improving corporate environmental accountability in the region. This study aligns with ongoing efforts to promote sustainable corporate practices and provides valuable implications for policymakers, corporate leaders, and stakeholders in environmentally sensitive industries. 03-12-2024 <![CDATA[ <p><span style="color: windowtext">This investigation seeks to uncover empirical evidence concerning the correlation between board diversity—including gender and nationality diversity—and the establishment of environmental committees, in relation to carbon emission disclosures by firms in Southeast Asia over the period 2018 to 2022. Analysis was conducted on a dataset comprising 210 firm-year observations, selected through purposive sampling from companies listed on the FTSE4Good ASEAN Index 2023. Utilizing a multiple linear regression model, the study revealed that diversity in board nationality and the existence of environmental committees are positively associated with the level of carbon emission disclosures by companies. Conversely, the presence of women on boards (WOB) was found to have no significant impact on the disclosure of carbon emissions. This research enriches the existing body of literature by delivering empirical insights from the Southeast Asian context, thereby contributing to a nuanced understanding of how corporate governance mechanisms influence environmental transparency. The findings underscore the critical role of board nationality diversity and environmental committees in enhancing carbon emission disclosures, suggesting that these factors may serve as vital levers for improving corporate environmental accountability in the region. This study aligns with ongoing efforts to promote sustainable corporate practices and provides valuable implications for policymakers, corporate leaders, and stakeholders in environmentally sensitive industries.</span></p> ]]> The Influence of Board Diversity and Environmental Committees on Carbon Emission Disclosures in Southeast Asian Corporations alfina khairunnisa christina d. astuti muhammadshaker a. hussein doi: 10.56578/jgelcd030103 Journal of Green Economy and Low-Carbon Development 03-12-2024 Journal of Green Economy and Low-Carbon Development 03-12-2024 2024 3 1 Article 26 10.56578/jgelcd030103 https://www.acadlore.com/article/JGELCD/2024_3_1/jgelcd030103 https://www.acadlore.com/article/JGELCD/2024_3_1/jgelcd030102 This study was undertaken to assess the implementation effectiveness of climate change management strategies across European Union (EU) member states, employing data from the annually published Climate Change Performance Index (CCPI). The index includes assessments for 36 countries in addition to the EU member states, with evaluations presented through linguistic values. To ascertain the rankings of the EU countries, a fuzzy set approach was adopted, applying the fuzzy Multi-Attributive Border Approximation area Comparison (MABAC) method. Weights were derived directly from the original CCPI report. The analysis revealed that Denmark secured the highest ranking, aligning with its position in the CCPI, albeit the ranking sequence determined through the fuzzy MABAC method diverged from the original report’s order. This discrepancy is attributed to the distinct characteristics and specificities of the fuzzy set approach. Sensitivity analysis within this study highlighted that certain criteria exert a more pronounced influence on the rankings, suggesting that heightened emphasis on these specific criteria could enhance the positioning of individual EU countries. Furthermore, this research elucidates the application of fuzzy methodologies in climate change impact mitigation and provides a structured guideline for their implementation. The findings advocate for a nuanced understanding of criteria significance in climate change performance assessments, offering a comprehensive framework for evaluating and improving EU countries' climate management practices. 01-31-2024 <![CDATA[ <p>This study was undertaken to assess the implementation effectiveness of climate change management strategies across European Union (EU) member states, employing data from the annually published Climate Change Performance Index (CCPI). The index includes assessments for 36 countries in addition to the EU member states, with evaluations presented through linguistic values. To ascertain the rankings of the EU countries, a fuzzy set approach was adopted, applying the fuzzy Multi-Attributive Border Approximation area Comparison (MABAC) method. Weights were derived directly from the original CCPI report. The analysis revealed that Denmark secured the highest ranking, aligning with its position in the CCPI, albeit the ranking sequence determined through the fuzzy MABAC method diverged from the original report’s order. This discrepancy is attributed to the distinct characteristics and specificities of the fuzzy set approach. Sensitivity analysis within this study highlighted that certain criteria exert a more pronounced influence on the rankings, suggesting that heightened emphasis on these specific criteria could enhance the positioning of individual EU countries. Furthermore, this research elucidates the application of fuzzy methodologies in climate change impact mitigation and provides a structured guideline for their implementation. The findings advocate for a nuanced understanding of criteria significance in climate change performance assessments, offering a comprehensive framework for evaluating and improving EU countries' climate management practices.</p> ]]> Evaluating European Union Countries on Climate Change Management: A Fuzzy MABAC Approach to the Climate Change Performance Index adis puška ilhana hodžić anđelka štilić sašo murtič doi: 10.56578/jgelcd030102 Journal of Green Economy and Low-Carbon Development 01-31-2024 Journal of Green Economy and Low-Carbon Development 01-31-2024 2024 3 1 Article 15 10.56578/jgelcd030102 https://www.acadlore.com/article/JGELCD/2024_3_1/jgelcd030102 https://www.acadlore.com/article/JGELCD/2024_3_1/jgelcd030101 To reduce electric vehicle carbon dioxide emissions while charging and increase charging pile utilization, this study proposes an optimization method for charging-station location and capacity determination based on multi-strategy fusion that considers the optical-storage charging station. By analyzing the characteristics of vehicle trajectory data, the dwell points that support charging are extracted; the center point of the dwell area is obtained through k-means clustering, indicating the candidate site of a charging station and optical-storage charging station. The process for determining demand points and quantities is described as follows. Set the parking lot as the demand point; select the period with the most vehicle stops, and determine the demand according to the proximity principle. Using the investment cost, user time cost, and total carbon dioxide emissions from charging as the targets, a data-driven co-evolutionary model is established. It is solved using the multi-objective particle swarm optimization algorithm. Further, the analytic hierarchy process is used to determine the optimal location and sizing scheme. Empirical analysis is completed using Beijing taxi track data as an example. The experiments show that after constructing an optical-storage charging station, the number of charging piles can be reduced by improving the charging pile utilization rate, and the investment cost can be effectively controlled. The station is built at a location with a large demand, effectively reducing the carbon dioxide emissions caused by charging and indirectly reducing user time cost. 01-25-2024 <![CDATA[ To reduce electric vehicle carbon dioxide emissions while charging and increase charging pile utilization, this study proposes an optimization method for charging-station location and capacity determination based on multi-strategy fusion that considers the optical-storage charging station. By analyzing the characteristics of vehicle trajectory data, the dwell points that support charging are extracted; the center point of the dwell area is obtained through k-means clustering, indicating the candidate site of a charging station and optical-storage charging station. The process for determining demand points and quantities is described as follows. Set the parking lot as the demand point; select the period with the most vehicle stops, and determine the demand according to the proximity principle. Using the investment cost, user time cost, and total carbon dioxide emissions from charging as the targets, a data-driven co-evolutionary model is established. It is solved using the multi-objective particle swarm optimization algorithm. Further, the analytic hierarchy process is used to determine the optimal location and sizing scheme. Empirical analysis is completed using Beijing taxi track data as an example. The experiments show that after constructing an optical-storage charging station, the number of charging piles can be reduced by improving the charging pile utilization rate, and the investment cost can be effectively controlled. The station is built at a location with a large demand, effectively reducing the carbon dioxide emissions caused by charging and indirectly reducing user time cost. ]]> Optimization of Charging-Station Location and Capacity Determination Based on Optical Storage, Charging Integration, and Multi-Strategy Fusion rui wang zhuang wu zheng sun doi: 10.56578/jgelcd030101 Journal of Green Economy and Low-Carbon Development 01-25-2024 Journal of Green Economy and Low-Carbon Development 01-25-2024 2024 3 1 Article 1 10.56578/jgelcd030101 https://www.acadlore.com/article/JGELCD/2024_3_1/jgelcd030101 https://www.acadlore.com/article/JGELCD/2023_2_4/jgelcd020405 This study rigorously assesses the environmental impact of Zambia’s cement industry, utilizing the methodology of Life Cycle Assessment (LCA) and the application of SimaPro software. The focus is primarily laid on the stages of raw material extraction and transportation, pivotal in the cement production process. The analysis, grounded in the use of the eco-invent database, renowned for its reliability, encompasses a comprehensive evaluation of resource depletion, energy usage, and greenhouse gas (GHG) emissions, with a particular emphasis on the latter. Findings reveal that raw material extraction and transportation collectively contribute to 80% of the environmental footprint associated with the production of 1000 tonnes of cement as a functional unit. Specifically, raw material extraction is responsible for 44%, transportation 36%, and coal consumption for limestone decomposition 19% of the total impact. The assessment critically examines environmental impact categories such as climate change, freshwater eutrophication, terrestrial acidification, fossil depletion, and human toxicity. These categories are selected due to their direct relevance to the overarching goal of the study. A noteworthy aspect of the analysis is the cement industry's dependency on hydroelectricity. The role of renewable energy sources, particularly hydroelectricity, in mitigating ecological impacts is underscored. The systematic approach of SimaPro, enhanced through the incorporation of industry-specific and region-specific data, adds a layer of reliability to the study. This research, conforming to industry standards and evaluated by experts, delves deeply into aspects such as energy consumption, GHG emissions, water utilization, and land use. To augment the robustness of the findings, a sensitivity analysis is also conducted. The study underlines that the processes of raw material extraction and transportation are key contributors to the environmental footprint of the cement industry in Zambia. Recommendations are made for ethical sourcing, exploration of alternative transportation methods, and optimization of logistics. The study acknowledges the vital interplay between corporations, governments, and academic institutions in shaping tailored sustainability policies. Proposals for the adoption of alternative fuels and the optimization of transportation logistics are put forward, highlighting that ethical raw material extraction is imperative for transitioning towards a more sustainable cement industry. 12-29-2023 <![CDATA[ <p>This study rigorously assesses the environmental impact of Zambia’s cement industry, utilizing the methodology of Life Cycle Assessment (LCA) and the application of SimaPro software. The focus is primarily laid on the stages of raw material extraction and transportation, pivotal in the cement production process. The analysis, grounded in the use of the eco-invent database, renowned for its reliability, encompasses a comprehensive evaluation of resource depletion, energy usage, and greenhouse gas (GHG) emissions, with a particular emphasis on the latter. Findings reveal that raw material extraction and transportation collectively contribute to 80% of the environmental footprint associated with the production of 1000 tonnes of cement as a functional unit. Specifically, raw material extraction is responsible for 44%, transportation 36%, and coal consumption for limestone decomposition 19% of the total impact. The assessment critically examines environmental impact categories such as climate change, freshwater eutrophication, terrestrial acidification, fossil depletion, and human toxicity. These categories are selected due to their direct relevance to the overarching goal of the study. A noteworthy aspect of the analysis is the cement industry's dependency on hydroelectricity. The role of renewable energy sources, particularly hydroelectricity, in mitigating ecological impacts is underscored. The systematic approach of SimaPro, enhanced through the incorporation of industry-specific and region-specific data, adds a layer of reliability to the study. This research, conforming to industry standards and evaluated by experts, delves deeply into aspects such as energy consumption, GHG emissions, water utilization, and land use. To augment the robustness of the findings, a sensitivity analysis is also conducted. The study underlines that the processes of raw material extraction and transportation are key contributors to the environmental footprint of the cement industry in Zambia. Recommendations are made for ethical sourcing, exploration of alternative transportation methods, and optimization of logistics. The study acknowledges the vital interplay between corporations, governments, and academic institutions in shaping tailored sustainability policies. Proposals for the adoption of alternative fuels and the optimization of transportation logistics are put forward, highlighting that ethical raw material extraction is imperative for transitioning towards a more sustainable cement industry.</p> ]]> Assessing the Environmental Impact of Cement Production in Zambia: An Integration of Life Cycle Assessment and SimaPro Software lungu brian rikun wen malipilo claus fulgence hagumubuzima doi: 10.56578/jgelcd020405 Journal of Green Economy and Low-Carbon Development 12-29-2023 Journal of Green Economy and Low-Carbon Development 12-29-2023 2023 2 4 Article 232 10.56578/jgelcd020405 https://www.acadlore.com/article/JGELCD/2023_2_4/jgelcd020405 https://www.acadlore.com/article/JGELCD/2023_2_4/jgelcd020404 The realm of low-carbon aviation, a critical sector in the construction of a low-carbon economy, has consistently garnered extensive attention. This study, utilizing bibliometric analysis and employing the visualization software CiteSpace, constructs knowledge maps based on data sourced from 358 core journal articles and (Chinese Social Sciences Citation Indexed) CSSCI articles in the China National Knowledge Infrastructure (CNKI) and 270 articles from the Web of Science (WOS) Core Collection. These maps elucidate the dynamics of research hotspots and evolutionary trends in the global low-carbon aviation industry by visualizing elements such as researchers, institutions, co-occurring keywords, surging keywords, and clustering time zones. The analysis reveals a dispersed pattern of domestic researchers with a need for enhanced collaboration, in contrast to more frequent collaborations among international researchers. Key issues such as fuel, carbon emissions, and environmental protection emerge as common focal points in both domestic and international contexts. Trends in aviation transportation and emission reduction are identified as converging research trajectories, with significant influence on the scholarly discourse and practical resolutions in the low-carbon aviation sector. The outcomes of this study hold substantial value for guiding academic research and addressing real-world challenges in the low-carbon aviation industry globally. 12-29-2023 <![CDATA[ The realm of low-carbon aviation, a critical sector in the construction of a low-carbon economy, has consistently garnered extensive attention. This study, utilizing bibliometric analysis and employing the visualization software CiteSpace, constructs knowledge maps based on data sourced from 358 core journal articles and (Chinese Social Sciences Citation Indexed) CSSCI articles in the China National Knowledge Infrastructure (CNKI) and 270 articles from the Web of Science (WOS) Core Collection. These maps elucidate the dynamics of research hotspots and evolutionary trends in the global low-carbon aviation industry by visualizing elements such as researchers, institutions, co-occurring keywords, surging keywords, and clustering time zones. The analysis reveals a dispersed pattern of domestic researchers with a need for enhanced collaboration, in contrast to more frequent collaborations among international researchers. Key issues such as fuel, carbon emissions, and environmental protection emerge as common focal points in both domestic and international contexts. Trends in aviation transportation and emission reduction are identified as converging research trajectories, with significant influence on the scholarly discourse and practical resolutions in the low-carbon aviation sector. The outcomes of this study hold substantial value for guiding academic research and addressing real-world challenges in the low-carbon aviation industry globally. ]]> Advancements and Trends in Global Low-Carbon Aviation: A CiteSpace Knowledge Map Analysis meng shang manqiu zhu litian ren yongho shin doi: 10.56578/jgelcd020404 Journal of Green Economy and Low-Carbon Development 12-29-2023 Journal of Green Economy and Low-Carbon Development 12-29-2023 2023 2 4 Article 213 10.56578/jgelcd020404 https://www.acadlore.com/article/JGELCD/2023_2_4/jgelcd020404 https://www.acadlore.com/article/JGELCD/2023_2_4/jgelcd020403 Maritime trade, recognized as the most cost-efficient method for long-distance goods transportation, remains the backbone of global commerce despite market volatility and fluctuating supply-demand dynamics. This study examines the intricate relationship between maritime trade and environmental impacts, focusing on the use of Arctic routes and the consequent release of ship-sourced black carbon (BC). An extensive review of the BC literature elucidates its detrimental effects on both environmental integrity and human health. Furthermore, the investigation delves into the specific repercussions of maritime shipping activities in the Arctic region, highlighting how increased ship traffic contributes to global warming through enhanced ice melt. The analysis pivots on the paradox of maritime trade: while seeking cost-effective and rapid routes, such as those through the Arctic, the maritime industry inadvertently exacerbates ecological degradation and climate change. This dichotomy underscores the critical need for a balanced approach in maritime operations, considering both economic viability and environmental stewardship. The study culminates in a nuanced evaluation of the trade-offs involved, proposing strategies for sustainable maritime trade that align with global environmental goals. 12-29-2023 <![CDATA[ <p>Maritime trade, recognized as the most cost-efficient method for long-distance goods transportation, remains the backbone of global commerce despite market volatility and fluctuating supply-demand dynamics. This study examines the intricate relationship between maritime trade and environmental impacts, focusing on the use of Arctic routes and the consequent release of ship-sourced black carbon (BC). An extensive review of the BC literature elucidates its detrimental effects on both environmental integrity and human health. Furthermore, the investigation delves into the specific repercussions of maritime shipping activities in the Arctic region, highlighting how increased ship traffic contributes to global warming through enhanced ice melt. The analysis pivots on the paradox of maritime trade: while seeking cost-effective and rapid routes, such as those through the Arctic, the maritime industry inadvertently exacerbates ecological degradation and climate change. This dichotomy underscores the critical need for a balanced approach in maritime operations, considering both economic viability and environmental stewardship. The study culminates in a nuanced evaluation of the trade-offs involved, proposing strategies for sustainable maritime trade that align with global environmental goals.</p> ]]> Navigating the Dichotomy: Maximizing Maritime Trade Profits and Mitigating Black Carbon Impact in the Arctic gökçe çiçek ceyhun doi: 10.56578/jgelcd020403 Journal of Green Economy and Low-Carbon Development 12-29-2023 Journal of Green Economy and Low-Carbon Development 12-29-2023 2023 2 4 Article 202 10.56578/jgelcd020403 https://www.acadlore.com/article/JGELCD/2023_2_4/jgelcd020403 https://www.acadlore.com/article/JGELCD/2023_2_4/jgelcd020402 Considering the recent adverse developments, studies have focused on the environmental degradation of countries. In this context, various indicators for the environment as well as explanatory variables have been used. In line with the increasing geopolitical risk (GPR) in recent times, the study focuses on investigating the impact of GPR on the environment for G7 countries, which are the leading economies in the world. In doing so, the study considers carbon dioxide (CO2) emissions and ecological footprint (EF) as the environmental indicators; and performs quantile-on-quantile regression (QQ) as the fundamental model, which investigates the relationship between two variables across quantiles (i.e., levels); applies quantile regression (QR) for robustness; and uses using monthly data between 1985 and 2022. The study proves that (i) GPR generally decreases CO2 emissions at higher quantiles, whereas it causes an increasing impact at lower quantiles; (ii) GPR mainly curbs EF at higher levels, whereas it causes a stimulating impact at lower levels; (iii) the power of the impact of GPR differentiates a bit according to quantiles, indicators, and countries; (iv) the alternative method mostly validates the robustness of the results. Thus, the study implies that GPR has a stimulating impact on environmental degradation at the beginning (i.e., lower quantiles) by causing much more consumption and short-term-based decisions, whereas it causes a decline at the last (i.e., higher quantiles) through making consumption more responsible and decisions with more long-term-based perspective. So, GPR is an important predictor of the environment and has a critical impact on environmental degradation. Accordingly, policymakers have to consider the quantile, country, and environmental indicator-based differentiation impact of GPR on the environment in designing environmental policies. In this way, it is possible for the countries to achieve sustainable development goals by ensuring environmental degradation. 12-29-2023 <![CDATA[ <p>Considering the recent adverse developments, studies have focused on the environmental degradation of countries. In this context, various indicators for the environment as well as explanatory variables have been used. In line with the increasing geopolitical risk (GPR) in recent times, the study focuses on investigating the impact of GPR on the environment for G7 countries, which are the leading economies in the world. In doing so, the study considers carbon dioxide (CO₂) emissions and ecological footprint (EF) as the environmental indicators; and performs quantile-on-quantile regression (QQ) as the fundamental model, which investigates the relationship between two variables across quantiles (i.e., levels); applies quantile regression (QR) for robustness; and uses using monthly data between 1985 and 2022. The study proves that (i) GPR generally decreases CO₂ emissions at higher quantiles, whereas it causes an increasing impact at lower quantiles; (ii) GPR mainly curbs EF at higher levels, whereas it causes a stimulating impact at lower levels; (iii) the power of the impact of GPR differentiates a bit according to quantiles, indicators, and countries; (iv) the alternative method mostly validates the robustness of the results. Thus, the study implies that GPR has a stimulating impact on environmental degradation at the beginning (i.e., lower quantiles) by causing much more consumption and short-term-based decisions, whereas it causes a decline at the last (i.e., higher quantiles) through making consumption more responsible and decisions with more long-term-based perspective. So, GPR is an important predictor of the environment and has a critical impact on environmental degradation. Accordingly, policymakers have to consider the quantile, country, and environmental indicator-based differentiation impact of GPR on the environment in designing environmental policies. In this way, it is possible for the countries to achieve sustainable development goals by ensuring environmental degradation.</p> ]]> Assessing the Impact of Geopolitical Risk on Environmental Degradation in G7 Countries: A Quantile-on-Quantile Regression Approach mustafa tevfik kartal ugur korkut pata doi: 10.56578/jgelcd020402 Journal of Green Economy and Low-Carbon Development 12-29-2023 Journal of Green Economy and Low-Carbon Development 12-29-2023 2023 2 4 Article 191 10.56578/jgelcd020402 https://www.acadlore.com/article/JGELCD/2023_2_4/jgelcd020402 https://www.acadlore.com/article/JGELCD/2023_2_4/jgelcd020401 Based on the financial panel data of Chinese A-share listed companies from 2015 to 2022, this paper takes the “Fee-to-Tax” reform in environmental protection in 2018 as a quasi-natural experiment and employs the Propensity Score Matching-Difference-in-Differences (PSM-DID) model to explore the impact of the environmental protection tax on the valuation of heavily polluting enterprises. The research results show that the environmental protection tax can significantly promote the valuation increase of heavily polluting enterprises and has passed a series of robustness tests. In addition, the analysis of regional heterogeneity and enterprise ownership heterogeneity further reveals the differences between regions and enterprise ownership. The environmental protection tax has a significant positive impact on the valuation of heavily polluting enterprises in Eastern China and non-state-owned heavily polluting enterprises. It is also further found that the environmental protection tax policy improves the valuation of heavily polluting enterprises through the paths of environmental information disclosure, green technology innovation, and intelligent transformation. In light of these findings, this paper proposes relevant policy recommendations to provide reference for accelerating enterprise transformation and upgrading and promoting steady economic growth. 12-29-2023 <![CDATA[ <p>Based on the financial panel data of Chinese A-share listed companies from 2015 to 2022, this paper takes the “Fee-to-Tax” reform in environmental protection in 2018 as a quasi-natural experiment and employs the Propensity Score Matching-Difference-in-Differences (PSM-DID) model to explore the impact of the environmental protection tax on the valuation of heavily polluting enterprises. The research results show that the environmental protection tax can significantly promote the valuation increase of heavily polluting enterprises and has passed a series of robustness tests. In addition, the analysis of regional heterogeneity and enterprise ownership heterogeneity further reveals the differences between regions and enterprise ownership. The environmental protection tax has a significant positive impact on the valuation of heavily polluting enterprises in Eastern China and non-state-owned heavily polluting enterprises. It is also further found that the environmental protection tax policy improves the valuation of heavily polluting enterprises through the paths of environmental information disclosure, green technology innovation, and intelligent transformation. In light of these findings, this paper proposes relevant policy recommendations to provide reference for accelerating enterprise transformation and upgrading and promoting steady economic growth.</p> ]]> Assessing the Impact of Environmental Protection Tax Law on the Market Valuation of High-Pollution Companies: A Quasi-Natural Experiment Approach in China lelai shi hong lin živko erceg yujie yan doi: 10.56578/jgelcd020401 Journal of Green Economy and Low-Carbon Development 12-29-2023 Journal of Green Economy and Low-Carbon Development 12-29-2023 2023 2 4 Article 175 10.56578/jgelcd020401 https://www.acadlore.com/article/JGELCD/2023_2_4/jgelcd020401 https://www.acadlore.com/article/JGELCD/2023_2_3/jgelcd020305 In the context of escalating green consumerism in Indonesia, there has been a notable shift in corporate strategies towards green marketing, stimulating an increase in scholarly investigations in this domain. This study conducts a systematic literature analysis to delineate the evolution and emerging trends in green marketing research within Indonesia over the past five years (2018-2023). A methodical examination of 38 pertinent documents, analyzed using Wordstat, forms the basis of this inquiry. Analysis is carried out based on productive countries, authors, institutions, journals, and distribution phrases. The findings reveal that Indonesia emerges as a leading nation in publishing research on this subject. Recurrent thematic phrases, each surpassing a frequency of 100 mentions, include ‘Green Marketing’, ‘Green Products’, ‘Green Advertising’, and ‘Willingness to Pay’. Furthermore, Structural Equation Modelling (SEM) emerges as a predominant methodological approach. Green purchase intention and performance are the most widely used variables. This review not only describes the current situation of green marketing research in Indonesia, but also identifies mainstream methods and thematic priorities, providing valuable insights for future academic efforts in this increasingly relevant field. 09-29-2023 <![CDATA[ <p>In the context of escalating green consumerism in Indonesia, there has been a notable shift in corporate strategies towards green marketing, stimulating an increase in scholarly investigations in this domain. This study conducts a systematic literature analysis to delineate the evolution and emerging trends in green marketing research within Indonesia over the past five years (2018-2023). A methodical examination of 38 pertinent documents, analyzed using Wordstat, forms the basis of this inquiry. Analysis is carried out based on productive countries, authors, institutions, journals, and distribution phrases. The findings reveal that Indonesia emerges as a leading nation in publishing research on this subject. Recurrent thematic phrases, each surpassing a frequency of 100 mentions, include ‘Green Marketing’, ‘Green Products’, ‘Green Advertising’, and ‘Willingness to Pay’. Furthermore, Structural Equation Modelling (SEM) emerges as a predominant methodological approach. Green purchase intention and performance are the most widely used variables. This review not only describes the current situation of green marketing research in Indonesia, but also identifies mainstream methods and thematic priorities, providing valuable insights for future academic efforts in this increasingly relevant field.</p> ]]> Evolution and Trends in Indonesian Green Marketing Research: A Systematic Review (2018-2023) adimas rois adnan retno widowati nuryakin doi: 10.56578/jgelcd020305 Journal of Green Economy and Low-Carbon Development 09-29-2023 Journal of Green Economy and Low-Carbon Development 09-29-2023 2023 2 3 Article 162 10.56578/jgelcd020305 https://www.acadlore.com/article/JGELCD/2023_2_3/jgelcd020305 https://www.acadlore.com/article/JGELCD/2023_2_3/jgelcd020304 This study examines the relationship between managerial myopia and green innovation in corporations, utilizing data from non-financial and non-insurance A-share listed companies in the period from 2012 to 2021. It constructs a theoretical framework grounded in the principles of long-term investment and agency costs to analyze this relationship. The findings reveal that managerial myopia adversely affects sustainable capital investment and significantly impedes long-term green innovation activities within firms. Specifically, managerial myopia escalates agency costs, thereby stifling green innovation initiatives. This study elucidates that the agency dilemma in corporations, stemming from the dichotomy between ownership and management, is exacerbated by managerial myopia. Such a condition fosters a conflict between shareholders and managers, with the latter often prioritizing short-term gains over long-term value creation. This misalignment not only hinders the long-term trajectory of corporate development but also diminishes overall corporate value, thereby undermining green innovation efforts. The results underscore the detrimental impact of managerial myopia on the progression of green innovation. Consequently, it is imperative for corporate owners to acknowledge the pivotal role of management behavior in fostering green innovation and to actively mitigate the adverse effects of managerial myopia on corporate development. 09-29-2023 <![CDATA[ <p>This study examines the relationship between managerial myopia and green innovation in corporations, utilizing data from non-financial and non-insurance A-share listed companies in the period from 2012 to 2021. It constructs a theoretical framework grounded in the principles of long-term investment and agency costs to analyze this relationship. The findings reveal that managerial myopia adversely affects sustainable capital investment and significantly impedes long-term green innovation activities within firms. Specifically, managerial myopia escalates agency costs, thereby stifling green innovation initiatives. This study elucidates that the agency dilemma in corporations, stemming from the dichotomy between ownership and management, is exacerbated by managerial myopia. Such a condition fosters a conflict between shareholders and managers, with the latter often prioritizing short-term gains over long-term value creation. This misalignment not only hinders the long-term trajectory of corporate development but also diminishes overall corporate value, thereby undermining green innovation efforts. The results underscore the detrimental impact of managerial myopia on the progression of green innovation. Consequently, it is imperative for corporate owners to acknowledge the pivotal role of management behavior in fostering green innovation and to actively mitigate the adverse effects of managerial myopia on corporate development.</p> ]]> The Influence of Managerial Myopia on Corporate Green Innovation: An Empirical Analysis of A-Share Listed Firms (2012-2021) gongwen xu dhakir abbas ali amiya bhaumik doi: 10.56578/jgelcd020304 Journal of Green Economy and Low-Carbon Development 09-29-2023 Journal of Green Economy and Low-Carbon Development 09-29-2023 2023 2 3 Article 153 10.56578/jgelcd020304 https://www.acadlore.com/article/JGELCD/2023_2_3/jgelcd020304 https://www.acadlore.com/article/JGELCD/2023_2_3/jgelcd020303 In addressing the pivotal challenge of mitigating environmental and health concerns in medical waste management (MWM), this study introduces a novel, integrated multi-criteria decision-making (MCDM) framework employing T-spherical fuzzy sets (T-SFS) within the ambit of the Criteria Importance Through Inter-criteria Correlation-Multi-Attribute Utility Theory (CRITIC-MAUT) technique. Central to this approach is the deployment of T-SFS for expert evaluation of various treatment technologies, thereby refining the decision-making matrix with enhanced precision. The CRITIC method is adeptly utilized for the determination of weights for each criterion, thereby augmenting the accuracy of the decision-making process. An empirical case study conducted in China serves to validate the approach, evaluating five healthcare waste (HCW) treatment methods against a set of eight criteria. The culmination of this process is achieved through the application of the MAUT approach, facilitating the selection of the most suitable technology. Comparative analysis with extant MCDM methodologies underscores the robustness and reliability of the proposed approach, highlighting its distinct advantage in yielding conclusive results for optimal HCW treatment technology selection. This research not only contributes a novel methodology to the MWM domain but also establishes a comprehensive framework adept at navigating the intricacies inherent in the decision-making process for HCW treatment technologies. 09-29-2023 <![CDATA[ In addressing the pivotal challenge of mitigating environmental and health concerns in medical waste management (MWM), this study introduces a novel, integrated multi-criteria decision-making (MCDM) framework employing T-spherical fuzzy sets (T-SFS) within the ambit of the Criteria Importance Through Inter-criteria Correlation-Multi-Attribute Utility Theory (CRITIC-MAUT) technique. Central to this approach is the deployment of T-SFS for expert evaluation of various treatment technologies, thereby refining the decision-making matrix with enhanced precision. The CRITIC method is adeptly utilized for the determination of weights for each criterion, thereby augmenting the accuracy of the decision-making process. An empirical case study conducted in China serves to validate the approach, evaluating five healthcare waste (HCW) treatment methods against a set of eight criteria. The culmination of this process is achieved through the application of the MAUT approach, facilitating the selection of the most suitable technology. Comparative analysis with extant MCDM methodologies underscores the robustness and reliability of the proposed approach, highlighting its distinct advantage in yielding conclusive results for optimal HCW treatment technology selection. This research not only contributes a novel methodology to the MWM domain but also establishes a comprehensive framework adept at navigating the intricacies inherent in the decision-making process for HCW treatment technologies. ]]> Enhancing Medical Waste Management Using T-Spherical Fuzzy CRITIC-MAUT Methodology jafar anafi ali aslam khan keles dong doi: 10.56578/jgelcd020303 Journal of Green Economy and Low-Carbon Development 09-29-2023 Journal of Green Economy and Low-Carbon Development 09-29-2023 2023 2 3 Article 137 10.56578/jgelcd020303 https://www.acadlore.com/article/JGELCD/2023_2_3/jgelcd020303 https://www.acadlore.com/article/JGELCD/2023_2_3/jgelcd020302 In the face of escalating resource scarcity driven by the consumption of non-renewable resources, the industrial circular economy (ICE) emerges as a vital paradigm shift, pivotal for fostering resource-efficient societies and ensuring national resource security. This integrative review aims to critically assess the evolution and challenges inherent within the ICE over recent years, with a specific focus on the burgeoning role of machine learning (ML) in this domain. By synthesizing extant literature, this examination reveals several key findings. Firstly, the ICE significantly contributes to cost reduction through enhanced recycling and secondary utilization, underscoring its environmental stewardship. Secondly, it is evident that ML exhibits substantial promise in the manufacturing sector, not only augmenting production processes but also elevating product precision, reducing defect rates, and minimizing the likelihood of production mishaps. Most crucially, the application of ML within the ICE is identified as a potent catalyst, driving advancements across various facets - data analysis, model development, technological innovation, and equipment refinement. This analysis further elucidates the intrinsic value of ML in resource recycling and waste management, yielding improvements in resource recycling rates and methodologies, which in turn curtails production costs and amplifies output efficiency. Despite the strides made in replacing traditional industrial models with more sustainable ICE practices, challenges persist, particularly regarding the suboptimal levels of resource recycling and the continued generation of industrial waste. The integration of ML within ICE frameworks is posited as a transformative approach, offering not only enhanced resource recycling capabilities and superior product quality but also a sustainable trajectory for future industrial development. This study, therefore, contributes to the growing discourse on sustainable industrial practices, underscoring the synergistic potential of ML in revolutionizing the ICE, thereby aligning with the broader objectives of sustainable economic development. 09-29-2023 <![CDATA[ <p>In the face of escalating resource scarcity driven by the consumption of non-renewable resources, the industrial circular economy (ICE) emerges as a vital paradigm shift, pivotal for fostering resource-efficient societies and ensuring national resource security. This integrative review aims to critically assess the evolution and challenges inherent within the ICE over recent years, with a specific focus on the burgeoning role of machine learning (ML) in this domain. By synthesizing extant literature, this examination reveals several key findings. Firstly, the ICE significantly contributes to cost reduction through enhanced recycling and secondary utilization, underscoring its environmental stewardship. Secondly, it is evident that ML exhibits substantial promise in the manufacturing sector, not only augmenting production processes but also elevating product precision, reducing defect rates, and minimizing the likelihood of production mishaps. Most crucially, the application of ML within the ICE is identified as a potent catalyst, driving advancements across various facets - data analysis, model development, technological innovation, and equipment refinement. This analysis further elucidates the intrinsic value of ML in resource recycling and waste management, yielding improvements in resource recycling rates and methodologies, which in turn curtails production costs and amplifies output efficiency. Despite the strides made in replacing traditional industrial models with more sustainable ICE practices, challenges persist, particularly regarding the suboptimal levels of resource recycling and the continued generation of industrial waste. The integration of ML within ICE frameworks is posited as a transformative approach, offering not only enhanced resource recycling capabilities and superior product quality but also a sustainable trajectory for future industrial development. This study, therefore, contributes to the growing discourse on sustainable industrial practices, underscoring the synergistic potential of ML in revolutionizing the ICE, thereby aligning with the broader objectives of sustainable economic development.</p> ]]> Advancing the Industrial Circular Economy: The Integrative Role of Machine Learning in Resource Optimization kuoyi lin shuhang wei doi: 10.56578/jgelcd020302 Journal of Green Economy and Low-Carbon Development 09-29-2023 Journal of Green Economy and Low-Carbon Development 09-29-2023 2023 2 3 Article 122 10.56578/jgelcd020302 https://www.acadlore.com/article/JGELCD/2023_2_3/jgelcd020302 https://www.acadlore.com/article/JGELCD/2023_2_3/jgelcd020301 An augmenting body of research is elucidating the psychological impacts of climate change, revealing a potential positive linkage between climate change anxiety and sustainable consumption through constructive concern. This investigation seeks to discern the presence and magnitude of a statistically significant relationship between climate change anxiety and patterns of sustainable consumption behaviour. The research employs a convenience sampling method, acquiring data through a causal study, whereby 455 valid survey responses were collected from 12th May to 12th June 2023. The interactive survey, formulated via Google Forms, was disseminated across Turkey. Analytical procedures were performed utilising SPSS and LISREL software, incorporating exploratory factor analysis (EFA) and structural equation modelling (SEM) to interpret the data. Findings reveal a statistically significant relationship, within a 95% confidence interval, between climate change anxiety and sustainable consumption behaviour. A surge in climate change anxiety correlates with heightened environmental sensitivity, augmented saving tendencies, and an escalation in reusability inclinations. Conversely, it is associated with a decline in superfluous purchasing behaviour. It can be concluded that enhanced climate change anxiety among participants concomitantly amplifies their proclivity towards sustainable consumption’s sub-dimensions, such as environmental sensitivity, frugality, and reusability, while discretionary purchasing behaviours witness no augmentation. Certain limitations permeate the study: out of 487 respondents, 32 were omitted from analysis, suggesting the necessity for larger sample sizes in subsequent studies. Amplifying climate change awareness and endorsing sustainable consumption behaviour is pivotal to fostering a more sustainable world. Findings from the SEM imply that elevating environmental sensitivity could burgeon awareness regarding climate change. Given the pressing nature of the climate crisis, the current study postulates that climate change anxiety could serve as a catalyst for inducing sustainable consumption behaviour and underscores the imperative for further intricate research within this domain. 09-29-2023 <![CDATA[ <p>An augmenting body of research is elucidating the psychological impacts of climate change, revealing a potential positive linkage between climate change anxiety and sustainable consumption through constructive concern. This investigation seeks to discern the presence and magnitude of a statistically significant relationship between climate change anxiety and patterns of sustainable consumption behaviour. The research employs a convenience sampling method, acquiring data through a causal study, whereby 455 valid survey responses were collected from 12th May to 12th June 2023. The interactive survey, formulated via Google Forms, was disseminated across Turkey. Analytical procedures were performed utilising SPSS and LISREL software, incorporating exploratory factor analysis (EFA) and structural equation modelling (SEM) to interpret the data. Findings reveal a statistically significant relationship, within a 95% confidence interval, between climate change anxiety and sustainable consumption behaviour. A surge in climate change anxiety correlates with heightened environmental sensitivity, augmented saving tendencies, and an escalation in reusability inclinations. Conversely, it is associated with a decline in superfluous purchasing behaviour. It can be concluded that enhanced climate change anxiety among participants concomitantly amplifies their proclivity towards sustainable consumption’s sub-dimensions, such as environmental sensitivity, frugality, and reusability, while discretionary purchasing behaviours witness no augmentation. Certain limitations permeate the study: out of 487 respondents, 32 were omitted from analysis, suggesting the necessity for larger sample sizes in subsequent studies. Amplifying climate change awareness and endorsing sustainable consumption behaviour is pivotal to fostering a more sustainable world. Findings from the SEM imply that elevating environmental sensitivity could burgeon awareness regarding climate change. Given the pressing nature of the climate crisis, the current study postulates that climate change anxiety could serve as a catalyst for inducing sustainable consumption behaviour and underscores the imperative for further intricate research within this domain.</p> ]]> An Empirical Analysis of the Nexus Between Climate Change Anxiety and Sustainable Consumption Patterns among Turkish Individuals bilge villi doi: 10.56578/jgelcd020301 Journal of Green Economy and Low-Carbon Development 09-29-2023 Journal of Green Economy and Low-Carbon Development 09-29-2023 2023 2 3 Article 110 10.56578/jgelcd020301 https://www.acadlore.com/article/JGELCD/2023_2_3/jgelcd020301 https://www.acadlore.com/article/JGELCD/2023_2_2/jgelcd020205 Amid the global COVID-19 pandemic, movement restrictions were implemented by various countries, Indonesia being among them. In this study, Jakarta, the capital city of Indonesia, serves as a focal point to elucidate the influence of such restrictions on air quality. Data, spanning from January to April 2020, were obtained from reputable sources including the Indonesian Meteorological Agency, Air Quality Index (AQI) platforms, IQAir, and Jakarta’s open data repository. Upon meticulous analysis, it was observed that diminished human activities in Jakarta resulted in a notable enhancement of air quality, with a variance of 19 days of superior air quality compared to the previous year. For a comprehensive understanding, comparative analyses with neighbouring cities were undertaken. In Singapore, reductions ranging from 8% to 43% were discerned in PM10, PM2.5, CO2, and SO2 levels. Bangkok reported a decline of 22% in PM2.5 concentrations, whereas Kuala Lumpur exhibited reductions in PM2.5 levels, varying between 3% and 35%, with further reductions of 3% to 63% in NO2 concentrations. Concurrently, SO2 levels saw a decrease of 2% to 48%, and CO concentrations diminished by 1% to 27%. The findings underscore the dual benefits of mobility restrictions, addressing both the containment of COVID-19’s proliferation and substantial improvements in environmental air quality. 06-29-2023 <![CDATA[ <p style="text-align: justify">Amid the global COVID-19 pandemic, movement restrictions were implemented by various countries, Indonesia being among them. In this study, Jakarta, the capital city of Indonesia, serves as a focal point to elucidate the influence of such restrictions on air quality. Data, spanning from January to April 2020, were obtained from reputable sources including the Indonesian Meteorological Agency, Air Quality Index (AQI) platforms, IQAir, and Jakarta’s open data repository. Upon meticulous analysis, it was observed that diminished human activities in Jakarta resulted in a notable enhancement of air quality, with a variance of 19 days of superior air quality compared to the previous year. For a comprehensive understanding, comparative analyses with neighbouring cities were undertaken. In Singapore, reductions ranging from 8% to 43% were discerned in PM10, PM2.5, CO₂, and SO₂ levels. Bangkok reported a decline of 22% in PM2.5 concentrations, whereas Kuala Lumpur exhibited reductions in PM2.5 levels, varying between 3% and 35%, with further reductions of 3% to 63% in NO₂ concentrations. Concurrently, SO₂ levels saw a decrease of 2% to 48%, and CO concentrations diminished by 1% to 27%. The findings underscore the dual benefits of mobility restrictions, addressing both the containment of COVID-19’s proliferation and substantial improvements in environmental air quality.</p> ]]> Impact of Movement Restrictions During COVID-19 on Jakarta’s Air Quality: A Comparative Analysis rossi passarella harumi veny doi: 10.56578/jgelcd020205 Journal of Green Economy and Low-Carbon Development 06-29-2023 Journal of Green Economy and Low-Carbon Development 06-29-2023 2023 2 2 Article 91 10.56578/jgelcd020205 https://www.acadlore.com/article/JGELCD/2023_2_2/jgelcd020205 https://www.acadlore.com/article/JGELCD/2023_2_2/jgelcd020204 This study aims to examine the potential impact of the military conflict between Russia and Ukraine on Romania's grain trade dynamics. Following the onset of the conflict, Ukraine has increasingly exported grain through Romania, potentially leading to an oversupply in the market and subsequent depression of prices within Romania and at its borders. To investigate this phenomenon, the volume and value of grain imports from Ukraine were analyzed and compared to previous years, alongside the price trends of major cereals in the region. Data on the volume of cereal imports from Ukraine and Romanian exports, sourced from international databases, were utilized in a quantitative analysis to evaluate the dynamics of imports in conjunction with the evolution of export prices for Romania. This investigation offers insights into the potential consequences of the Russia-Ukraine military conflict on Romania's grain trade and the broader implications for regional agricultural markets. 06-29-2023 <![CDATA[ <p>This study aims to examine the potential impact of the military conflict between Russia and Ukraine on Romania's grain trade dynamics. Following the onset of the conflict, Ukraine has increasingly exported grain through Romania, potentially leading to an oversupply in the market and subsequent depression of prices within Romania and at its borders. To investigate this phenomenon, the volume and value of grain imports from Ukraine were analyzed and compared to previous years, alongside the price trends of major cereals in the region. Data on the volume of cereal imports from Ukraine and Romanian exports, sourced from international databases, were utilized in a quantitative analysis to evaluate the dynamics of imports in conjunction with the evolution of export prices for Romania. This investigation offers insights into the potential consequences of the Russia-Ukraine military conflict on Romania's grain trade and the broader implications for regional agricultural markets.</p> ]]> Assessing the Implications of the Russia-Ukraine Military Conflict on Romania’s Grain Trade Dynamics andreea antoneac (lungu) ionut laurentiu petre adrian silviu iana george marian calin doi: 10.56578/jgelcd020204 Journal of Green Economy and Low-Carbon Development 06-29-2023 Journal of Green Economy and Low-Carbon Development 06-29-2023 2023 2 2 Article 84 10.56578/jgelcd020204 https://www.acadlore.com/article/JGELCD/2023_2_2/jgelcd020204 https://www.acadlore.com/article/JGELCD/2023_2_2/jgelcd020203 Driven by the swift progression of next-generation information technologies, a notable escalation in the synergistic aggregation of productive services and manufacturing industries is recorded. Prior research has primarily concentrated on the implications of standalone industry aggregation. In the current study, the theoretical ramifications of industry synergy aggregation on green total factor productivity have been delineated, with the foundation laid upon Marshall's conceptualization of agglomeration externalities. To empirically validate these theoretical underpinnings, a panel threshold model has been utilized. The data set comprises 92 cities of prefecture-level and above from five significant urban agglomerations: Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta, Chengdu-Chongqing, and the Middle Yangtze River area, spanning a period of 2010 to 2019. Results unveil a $\backsim$-shaped association between industry synergy aggregation and green total factor productivity. The existence of both agglomeration economies and diseconomies is substantiated in the current phase of industry synergy aggregation. Employing labor force pools and shared intermediate inputs as threshold variables, the initial impact of industry synergy aggregation on green total factor productivity appears to be negative, but after crossing the first threshold, the impact becomes positive, only to revert to negative post traversing the second threshold. Alternatively, when knowledge spillover is taken as the threshold variable, the influence begins as negative, turns positive post the first threshold, and retains the positive influence beyond the second threshold, exhibiting a stronger promoting effect. The findings highlight the recommendation that industry development strategies ought not to be solely centered on the geographical congregation of productive services and manufacturing industries. Instead, a significant emphasis on exploiting the benefits of agglomeration externalities is advised. Specifically, for cities grappling with excessive industry synergy aggregation, strategies should prioritize facilitating industrial relocation as a means to temper the inhibitory effects of agglomeration diseconomies on green total factor productivity. 06-29-2023 <![CDATA[ <p>Driven by the swift progression of next-generation information technologies, a notable escalation in the synergistic aggregation of productive services and manufacturing industries is recorded. Prior research has primarily concentrated on the implications of standalone industry aggregation. In the current study, the theoretical ramifications of industry synergy aggregation on green total factor productivity have been delineated, with the foundation laid upon Marshall's conceptualization of agglomeration externalities. To empirically validate these theoretical underpinnings, a panel threshold model has been utilized. The data set comprises 92 cities of prefecture-level and above from five significant urban agglomerations: Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta, Chengdu-Chongqing, and the Middle Yangtze River area, spanning a period of 2010 to 2019. Results unveil a $\backsim$-shaped association between industry synergy aggregation and green total factor productivity. The existence of both agglomeration economies and diseconomies is substantiated in the current phase of industry synergy aggregation. Employing labor force pools and shared intermediate inputs as threshold variables, the initial impact of industry synergy aggregation on green total factor productivity appears to be negative, but after crossing the first threshold, the impact becomes positive, only to revert to negative post traversing the second threshold. Alternatively, when knowledge spillover is taken as the threshold variable, the influence begins as negative, turns positive post the first threshold, and retains the positive influence beyond the second threshold, exhibiting a stronger promoting effect. The findings highlight the recommendation that industry development strategies ought not to be solely centered on the geographical congregation of productive services and manufacturing industries. Instead, a significant emphasis on exploiting the benefits of agglomeration externalities is advised. Specifically, for cities grappling with excessive industry synergy aggregation, strategies should prioritize facilitating industrial relocation as a means to temper the inhibitory effects of agglomeration diseconomies on green total factor productivity.</p> ]]> Evaluating the Non-linear Interplay and Threshold Dynamics Between Aggregated Industry Synergy and Green Total Factor Productivity yidong qin doi: 10.56578/jgelcd020203 Journal of Green Economy and Low-Carbon Development 06-29-2023 Journal of Green Economy and Low-Carbon Development 06-29-2023 2023 2 2 Article 72 10.56578/jgelcd020203 https://www.acadlore.com/article/JGELCD/2023_2_2/jgelcd020203 https://www.acadlore.com/article/JGELCD/2023_2_2/jgelcd020202 The complex interplay between fuelwood consumption, deforestation, and land-use transformation in the Dhankuta district of Nepal is scrutinized in this investigation, concurrently shedding light on the feasibility of securing carbon finance via REDD+ mechanisms. Data derived from household surveys and remote sensing ascertained fuelwood as the primary energy recourse for the majority of households, leading to substantial deforestation, forest degradation, and carbon emissions. In a surprising revelation, a 12.4% augmentation in forest cover was discerned over 21 years, attributable to outmigration and conversion of fallow agricultural lands into forests. The investigation established that households involved in agriculture, particularly those with lower income, demonstrated higher dependence on fuelwood, consequently contributing to forest degradation and deforestation that further resulted in the emission of greenhouse gases. Potential avenues for the district to secure carbon finance include the introduction of clean cookstoves, reducing dependency on fuelwood, and greening barren areas. For effective realization of this potential, it is crucial to formulate a benefit-sharing plan that ensures the provision of suitable incentives for forest-dependent communities that are also responsible for forest conservation. By adopting the result-based payment system of REDD+ and promoting sustainable forest management, the district can mitigate carbon emissions, advocate for forest restoration, and qualify for carbon payments. 06-29-2023 <![CDATA[ <p>The complex interplay between fuelwood consumption, deforestation, and land-use transformation in the Dhankuta district of Nepal is scrutinized in this investigation, concurrently shedding light on the feasibility of securing carbon finance via REDD+ mechanisms. Data derived from household surveys and remote sensing ascertained fuelwood as the primary energy recourse for the majority of households, leading to substantial deforestation, forest degradation, and carbon emissions. In a surprising revelation, a 12.4% augmentation in forest cover was discerned over 21 years, attributable to outmigration and conversion of fallow agricultural lands into forests. The investigation established that households involved in agriculture, particularly those with lower income, demonstrated higher dependence on fuelwood, consequently contributing to forest degradation and deforestation that further resulted in the emission of greenhouse gases. Potential avenues for the district to secure carbon finance include the introduction of clean cookstoves, reducing dependency on fuelwood, and greening barren areas. For effective realization of this potential, it is crucial to formulate a benefit-sharing plan that ensures the provision of suitable incentives for forest-dependent communities that are also responsible for forest conservation. By adopting the result-based payment system of REDD+ and promoting sustainable forest management, the district can mitigate carbon emissions, advocate for forest restoration, and qualify for carbon payments.</p> ]]> Harnessing REDD+ for Community Involvement and Equitable Benefit Distribution: Insights from Dhankuta District, Nepal nabin bhattarai teiji watanabe ram avtar bhaskar singh karky rajesh bahadur thapa doi: 10.56578/jgelcd020202 Journal of Green Economy and Low-Carbon Development 06-29-2023 Journal of Green Economy and Low-Carbon Development 06-29-2023 2023 2 2 Article 58 10.56578/jgelcd020202 https://www.acadlore.com/article/JGELCD/2023_2_2/jgelcd020202 https://www.acadlore.com/article/JGELCD/2023_2_2/jgelcd020201 The concept of “green supply chain” has gained increasing attention in the pursuit of sustainable development by enterprises globally, leading to the optimization of supply chain management. However, the behavior patterns of some members in green supply chains exhibit differences. Hence, analyzing the choices of different behavior patterns among green supply chain members is of practical significance in improving supply chain governance and achieving sustainable development. In this study, a differential game model is constructed using differential game theory to analyze the behavior patterns among members of a green supply chain. Analytical solutions under different models are obtained with the aid of Bellman continuous dynamic programming theory, and comparative analysis and numerical examples are carried out to explore the operation strategies of green supply chain members and the choice of short-sighted and far-sighted behavior patterns. Our findings indicate that suppliers playing a leading role in the green supply chain should exhibit far-sighted behavior as decision makers, while retailers should also display far-sighted behavior. This study adopts a dynamic perspective and is innovative and cutting-edge, providing targeted recommendations for enterprises and serving as a reference for the future development of green supply chain management. 04-25-2023 <![CDATA[ <p>The concept of “green supply chain” has gained increasing attention in the pursuit of sustainable development by enterprises globally, leading to the optimization of supply chain management. However, the behavior patterns of some members in green supply chains exhibit differences. Hence, analyzing the choices of different behavior patterns among green supply chain members is of practical significance in improving supply chain governance and achieving sustainable development. In this study, a differential game model is constructed using differential game theory to analyze the behavior patterns among members of a green supply chain. Analytical solutions under different models are obtained with the aid of Bellman continuous dynamic programming theory, and comparative analysis and numerical examples are carried out to explore the operation strategies of green supply chain members and the choice of short-sighted and far-sighted behavior patterns. Our findings indicate that suppliers playing a leading role in the green supply chain should exhibit far-sighted behavior as decision makers, while retailers should also display far-sighted behavior. This study adopts a dynamic perspective and is innovative and cutting-edge, providing targeted recommendations for enterprises and serving as a reference for the future development of green supply chain management.</p> ]]> Operation Strategies of Green Supply Chain Members with Short-Sighted and Far-Sighted Behavior: A Differential Game Theory Approach fangfang guo zhuang wu chenjun liu wanshu fu jiaqi du doi: 10.56578/jgelcd020201 Journal of Green Economy and Low-Carbon Development 04-25-2023 Journal of Green Economy and Low-Carbon Development 04-25-2023 2023 2 2 Article 49 10.56578/jgelcd020201 https://www.acadlore.com/article/JGELCD/2023_2_2/jgelcd020201 https://www.acadlore.com/article/JGELCD/2023_2_1/jgelcd020105 This study regards the reform of rural credit cooperatives into rural commercial banks as a “quasi-natural experiment.” Based on the panel data of 158 counties and districts from 2005 to 2019, it uses the progressive Differences-in-Differences (DID) to systematically evaluate the effect of the reform of rural credit cooperatives on county economic growth. The study finds that the reform of rural credit cooperatives has significantly promoted county economic growth, which is still valid after parallel trend tests, replacement of explained variables, and consideration of sample self-selection. Heterogeneity analysis finds that the reform of rural credit cooperatives can promote county economic growth more obviously in the samples of urban agglomeration, power-expanding counties, non-impoverished counties, and non-agricultural counties in Central Plains. The mechanism analysis finds that the reform of rural credit cooperatives can promote county economic growth through channels such as improving the level of financial development and optimizing the industrial structure. The conclusions of this study not only expand the understanding of existing references on the effect of rural credit cooperatives on county economic growth, but also provide important inspiration for the government to further deepen the reform of rural credit cooperatives and accelerate the pace of rural revitalization. 03-28-2023 <![CDATA[ <p>This study regards the reform of rural credit cooperatives into rural commercial banks as a “quasi-natural experiment.” Based on the panel data of 158 counties and districts from 2005 to 2019, it uses the progressive Differences-in-Differences (DID) to systematically evaluate the effect of the reform of rural credit cooperatives on county economic growth. The study finds that the reform of rural credit cooperatives has significantly promoted county economic growth, which is still valid after parallel trend tests, replacement of explained variables, and consideration of sample self-selection. Heterogeneity analysis finds that the reform of rural credit cooperatives can promote county economic growth more obviously in the samples of urban agglomeration, power-expanding counties, non-impoverished counties, and non-agricultural counties in Central Plains. The mechanism analysis finds that the reform of rural credit cooperatives can promote county economic growth through channels such as improving the level of financial development and optimizing the industrial structure. The conclusions of this study not only expand the understanding of existing references on the effect of rural credit cooperatives on county economic growth, but also provide important inspiration for the government to further deepen the reform of rural credit cooperatives and accelerate the pace of rural revitalization.</p> ]]> Effect of Market-Oriented Reform of Rural Financial Institutions on Promoting County Economic Growth huawei zhao xiaofeng duan kexin qiu aolong liu doi: 10.56578/jgelcd020105 Journal of Green Economy and Low-Carbon Development 03-28-2023 Journal of Green Economy and Low-Carbon Development 03-28-2023 2023 2 1 Article 36 10.56578/jgelcd020105 https://www.acadlore.com/article/JGELCD/2023_2_1/jgelcd020105 https://www.acadlore.com/article/JGELCD/2023_2_1/jgelcd020104 China’s logistics industry has been flourishing in recent years, with the high carbon emissions caused thereby receiving widespread attention. In this paper, the emissions and intensity of embodied carbon in the logistics industry in China are calculated for 2012, 2015 and 2017, using the multiregional input-output model and the changing trend. Additionally, influences of the intensity of embodied carbon emissions in the logistics industry across 30 provinces of China are assessed using the structural decomposition analysis method. The results show that from 2012 to 2017, the emissions of embodied carbon in the logistics industry from 30 provinces increased, while the intensity of embodied carbon emissions mainly decreased. The changes in the embodied carbon emissions intensity of the logistics industry are mainly affected by the direct carbon emission coefficient and added value coefficient. The intermediate input structure technology and the total scale of the final demand play a slight role in promoting the intensity of the embodied carbon emissions in the logistics industry. The direct carbon emission coefficient plays a major role in restraining provinces with negative intensity of embodied carbon emissions and promoting provinces with positive embodied carbon emissions intensity. The added value coefficient plays a major role in promoting the intensity of embodied carbon emissions. Finally, based on the analysis results, this paper presents suggestions for reducing the embodied carbon emissions in the logistics industry in 30 Chinese provinces, which include adjusting measures to local conditions, increasing the proportion of clean energy and clean technology in the logistics industry, increasing investment in green technology research and development, and improving the green technology innovation. Currently, researches on the implicit carbon emissions of the logistics industry focus mainly on the national, regional, and inter-provincial levels, with relatively few studies on the implicit carbon emissions of the logistics industry in each province. However, understanding the differences in the implicit carbon emissions of the logistics industry in each province and their influencing factors is crucial for identifying key emission reduction factors and developing carbon-neutral and carbon-reduction policies at the provincial level, which is the contribution that this paper makes. 03-28-2023 <![CDATA[ <p>China’s logistics industry has been flourishing in recent years, with the high carbon emissions caused thereby receiving widespread attention. In this paper, the emissions and intensity of embodied carbon in the logistics industry in China are calculated for 2012, 2015 and 2017, using the multiregional input-output model and the changing trend. Additionally, influences of the intensity of embodied carbon emissions in the logistics industry across 30 provinces of China are assessed using the structural decomposition analysis method. The results show that from 2012 to 2017, the emissions of embodied carbon in the logistics industry from 30 provinces increased, while the intensity of embodied carbon emissions mainly decreased. The changes in the embodied carbon emissions intensity of the logistics industry are mainly affected by the direct carbon emission coefficient and added value coefficient. The intermediate input structure technology and the total scale of the final demand play a slight role in promoting the intensity of the embodied carbon emissions in the logistics industry. The direct carbon emission coefficient plays a major role in restraining provinces with negative intensity of embodied carbon emissions and promoting provinces with positive embodied carbon emissions intensity. The added value coefficient plays a major role in promoting the intensity of embodied carbon emissions. Finally, based on the analysis results, this paper presents suggestions for reducing the embodied carbon emissions in the logistics industry in 30 Chinese provinces, which include adjusting measures to local conditions, increasing the proportion of clean energy and clean technology in the logistics industry, increasing investment in green technology research and development, and improving the green technology innovation. Currently, researches on the implicit carbon emissions of the logistics industry focus mainly on the national, regional, and inter-provincial levels, with relatively few studies on the implicit carbon emissions of the logistics industry in each province. However, understanding the differences in the implicit carbon emissions of the logistics industry in each province and their influencing factors is crucial for identifying key emission reduction factors and developing carbon-neutral and carbon-reduction policies at the provincial level, which is the contribution that this paper makes.</p> ]]> Calculation and Intensity Analysis of Logistics Industry Embodied CO₂ Emissions in China zhaotong sun yuanyuan zhang peidong yu lanyi zhang jie pang doi: 10.56578/jgelcd020104 Journal of Green Economy and Low-Carbon Development 03-28-2023 Journal of Green Economy and Low-Carbon Development 03-28-2023 2023 2 1 Article 27 10.56578/jgelcd020104 https://www.acadlore.com/article/JGELCD/2023_2_1/jgelcd020104 https://www.acadlore.com/article/JGELCD/2023_2_1/jgelcd020103 The Tourism Awareness Group is essential in waterfall management because they can develop sustainable tourism. This study aims to determine the role of the Tourism Awareness Group in managing the Way Kalam Waterfall at the Way Pisang Forest Management Unit, Lampung Province, Indonesia. Data were first collected through observation and interviews and then analyzed descriptively on planning, organizing, implementation, and monitoring. The results showed that the Tourism Awareness Group in Way Kalam Village had made short-, mid-, and long-term planning. In organizing, the group has made sure members have performed their respective duties. In actuating, activities are carried out correctly according to the plans. And in controlling, the work carried out by the Tourism Awareness Group is directly supervised by the village government. There needs to be motivation from relevant stakeholders so that Tourism Awareness Group can be more active. 03-28-2023 <![CDATA[ <p>The Tourism Awareness Group is essential in waterfall management because they can develop sustainable tourism. This study aims to determine the role of the Tourism Awareness Group in managing the Way Kalam Waterfall at the Way Pisang Forest Management Unit, Lampung Province, Indonesia. Data were first collected through observation and interviews and then analyzed descriptively on planning, organizing, implementation, and monitoring. The results showed that the Tourism Awareness Group in Way Kalam Village had made short-, mid-, and long-term planning. In organizing, the group has made sure members have performed their respective duties. In actuating, activities are carried out correctly according to the plans. And in controlling, the work carried out by the Tourism Awareness Group is directly supervised by the village government. There needs to be motivation from relevant stakeholders so that Tourism Awareness Group can be more active.</p> ]]> Role of Tourism Awareness Group in Development of Way Kalam Waterfall at Way Pisang Forest Management Unit, Lampung Province, Indonesia ikrimah indra gumay febryano susni herwanti wahyu hidayat doi: 10.56578/jgelcd020103 Journal of Green Economy and Low-Carbon Development 03-28-2023 Journal of Green Economy and Low-Carbon Development 03-28-2023 2023 2 1 Article 19 10.56578/jgelcd020103 https://www.acadlore.com/article/JGELCD/2023_2_1/jgelcd020103 https://www.acadlore.com/article/JGELCD/2023_2_1/jgelcd020102 The purpose of this paper is to carry out a quantitative analysis of the electricity production at the level of the European Union (EU) and in Romania, in the period of 2011-2020. To address the current environmental concerns, the package “Fit for 55” proposes that by 2050, most of the energy production will have to come from renewable sources, but the question is whether this desideratum can indeed be achieved. Among the methods used in scientific research, the quantitative analysis was selected and applied in this paper, in order to carry out a detailed statistical analysis on the trend of increase or decrease in the electricity production from different energy resources, and then comparative analysis was performed, so as to draw relevant conclusions in this respect. Through this study, it can be found that, at the level of the European Union, the electricity production from renewable energy resources is increasing, while that from solid fossil fuels is decreasing. In Romania, the same trend of increase and decrease can be observed, except on a smaller scale. Accordingly, the greatest increase in electricity production was recorded from renewable energy resources, for both the EU and Romania, while the biggest decrease in electricity production from fossil fuels. In order to address the decarbonization of the energy system in Romania, the hypothesis that the decrease in total electricity production is due to the decrease in electricity production from solid fossil fuels was tested. However, this hypothesis was only partially confirmed, since the production of electricity from other energy resources, apart from renewable resources and natural gas, also experienced a similar downward trend. 03-28-2023 <![CDATA[ <p>The purpose of this paper is to carry out a quantitative analysis of the electricity production at the level of the European Union (EU) and in Romania, in the period of 2011-2020. To address the current environmental concerns, the package “Fit for 55” proposes that by 2050, most of the energy production will have to come from renewable sources, but the question is whether this desideratum can indeed be achieved. Among the methods used in scientific research, the quantitative analysis was selected and applied in this paper, in order to carry out a detailed statistical analysis on the trend of increase or decrease in the electricity production from different energy resources, and then comparative analysis was performed, so as to draw relevant conclusions in this respect. Through this study, it can be found that, at the level of the European Union, the electricity production from renewable energy resources is increasing, while that from solid fossil fuels is decreasing. In Romania, the same trend of increase and decrease can be observed, except on a smaller scale. Accordingly, the greatest increase in electricity production was recorded from renewable energy resources, for both the EU and Romania, while the biggest decrease in electricity production from fossil fuels. In order to address the decarbonization of the energy system in Romania, the hypothesis that the decrease in total electricity production is due to the decrease in electricity production from solid fossil fuels was tested. However, this hypothesis was only partially confirmed, since the production of electricity from other energy resources, apart from renewable resources and natural gas, also experienced a similar downward trend.</p> ]]> Production of Electricity at the European Union Level vs. Romania gyöngyi toró doi: 10.56578/jgelcd020102 Journal of Green Economy and Low-Carbon Development 03-28-2023 Journal of Green Economy and Low-Carbon Development 03-28-2023 2023 2 1 Article 11 10.56578/jgelcd020102 https://www.acadlore.com/article/JGELCD/2023_2_1/jgelcd020102 https://www.acadlore.com/article/JGELCD/2023_2_1/jgelcd020101 According to the objective of achieving "an intelligent, sustainable and inclusive growth" in the European Union (EU) 2020 agenda, the information disclosure regarding sustainability of large companies mainly aims to contribute to the potential of the single market, thus creating sustainable development and employment levels. It is very important for companies to increase their transparency for interested parties, improve their risk management and provide better results. High transparency, including the diversity of management bodies, determines the trust growth of people in companies and markets, and allows more efficient capital distribution and the possibility of making a more realistic decision (e.g., by investors) according to available information. For current challenges, such as global warming, effects of the consumption society on environment, emphasis of disparities, worsening of environmental problems and urbanization of population, related replied have been made, representing that more efforts have been made for the transition towards a green model and for meeting the sustainable development objectives. Significant steps have been taken in this direction, but greater efforts should be made. The new economic system should rely on sustainable development, which is the solution to overcome current social, environmental and economic problems. Non-financial reporting is just a tool. In order to add value, companies should use the tool to contribute more, thus being closer to the global initiatives related to the green economy and building a sustainable society. Increase of these global trends has a significant impact on business environment, leading to measures taken immediately. Therefore, the true benefits of non-financial reporting will not be noticed unless entities change their focus from strict evaluation of financial performance to non-financial elements and integrate sustainability in their business model. Meanwhile, companies should focus on reporting the aspects, which are significant for them, the interested parties and the investors, and ensure that all these aspects are communicated to the management. Analysis of the non-financial information, presented by the active entities in the field of electrical energy production in Romania between 2017-2020, showed that only six companies met the legal requirements of non-financial information disclosure, which are state-owned companies with full or majority state capital and state-owned companies/societies. 03-28-2023 <![CDATA[ <p>According to the objective of achieving "an intelligent, sustainable and inclusive growth" in the European Union (EU) 2020 agenda, the information disclosure regarding sustainability of large companies mainly aims to contribute to the potential of the single market, thus creating sustainable development and employment levels. It is very important for companies to increase their transparency for interested parties, improve their risk management and provide better results. High transparency, including the diversity of management bodies, determines the trust growth of people in companies and markets, and allows more efficient capital distribution and the possibility of making a more realistic decision (e.g., by investors) according to available information. For current challenges, such as global warming, effects of the consumption society on environment, emphasis of disparities, worsening of environmental problems and urbanization of population, related replied have been made, representing that more efforts have been made for the transition towards a green model and for meeting the sustainable development objectives. Significant steps have been taken in this direction, but greater efforts should be made. The new economic system should rely on sustainable development, which is the solution to overcome current social, environmental and economic problems. Non-financial reporting is just a tool. In order to add value, companies should use the tool to contribute more, thus being closer to the global initiatives related to the green economy and building a sustainable society. Increase of these global trends has a significant impact on business environment, leading to measures taken immediately. Therefore, the true benefits of non-financial reporting will not be noticed unless entities change their focus from strict evaluation of financial performance to non-financial elements and integrate sustainability in their business model. Meanwhile, companies should focus on reporting the aspects, which are significant for them, the interested parties and the investors, and ensure that all these aspects are communicated to the management. Analysis of the non-financial information, presented by the active entities in the field of electrical energy production in Romania between 2017-2020, showed that only six companies met the legal requirements of non-financial information disclosure, which are state-owned companies with full or majority state capital and state-owned companies/societies.</p> ]]> Significance of Corporate Non-Financial Information Disclosure for Sustainable Economic Growth laura mariana cismaș geanina iulia boțoteanu teodor marian cojocaru riana maria gruescu doi: 10.56578/jgelcd020101 Journal of Green Economy and Low-Carbon Development 03-28-2023 Journal of Green Economy and Low-Carbon Development 03-28-2023 2023 2 1 Article 1 10.56578/jgelcd020101 https://www.acadlore.com/article/JGELCD/2023_2_1/jgelcd020101 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010106 When tourists choose their accommodation space, they tend to prefer areas with beautiful natural landscapes, or close to scenic spots, or those that have local styles. Based on existing research results of tourist accommodation space, some scholars proposed to design smaller spaces for tourist accommodation, however, in terms of the spatial correlation with tourism resources, relevant analysis is insufficient and needs to be supplemented. This paper studied the distribution characteristics and spatial correlation of tourist accommodation spaces based on environment information. At first, the paper analyzed the correlation between tourism resources and tourist accommodation spaces, gave the route of spatial correlation analysis, and analyzed the distribution characteristics of tourist accommodation spaces; then, this paper gave the determination process of optimal spatial distribution pattern of tourist accommodation spaces based on environment information, and adopted the kernel density estimation and the spatial attributes of tourist accommodation space points to study the spatial distribution characteristics. At last, combining with experiment, the distribution characteristics of the tourist accommodation spaces in the study area were given and analyzed. 12-28-2022 <![CDATA[ <p>When tourists choose their accommodation space, they tend to prefer areas with beautiful natural landscapes, or close to scenic spots, or those that have local styles. Based on existing research results of tourist accommodation space, some scholars proposed to design smaller spaces for tourist accommodation, however, in terms of the spatial correlation with tourism resources, relevant analysis is insufficient and needs to be supplemented. This paper studied the distribution characteristics and spatial correlation of tourist accommodation spaces based on environment information. At first, the paper analyzed the correlation between tourism resources and tourist accommodation spaces, gave the route of spatial correlation analysis, and analyzed the distribution characteristics of tourist accommodation spaces; then, this paper gave the determination process of optimal spatial distribution pattern of tourist accommodation spaces based on environment information, and adopted the kernel density estimation and the spatial attributes of tourist accommodation space points to study the spatial distribution characteristics. At last, combining with experiment, the distribution characteristics of the tourist accommodation spaces in the study area were given and analyzed.</p> ]]> Distribution Characteristics and Spatial Correlation of Tourist Accommodation Spaces Based on Environment Information jiadai hou ka'er zhu doi: 10.56578/jgelcd010106 Journal of Green Economy and Low-Carbon Development 12-28-2022 Journal of Green Economy and Low-Carbon Development 12-28-2022 2022 1 1 Article 54 10.56578/jgelcd010106 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010106 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010105 The paper aims towards understanding the factors responsible for the adoption of green products by consumers in the Indian market. A well-structured survey questionnaire was developed and circulated to 327 participants. Various factors associated with the adoption of green products were taken into account. They were analyzed by using descriptive statistics and factor analysis. The paper concludes that 61.2% of the respondents were willing to adopt green products and the 77.1% of the respondents are aware of green products and various benefits associated with them. An effort was made to understand the influence of green labelling on the adoption of green products by consumers. From the survey, it was inferred that green labelling is an important tool used by consumers for verifying and procuring green products. It was also found that factors like “concerns about the environment” and “recommendations from family and friends” significantly influence consumer's purchase decisions about green products. 12-28-2022 <![CDATA[ <p>The paper aims towards understanding the factors responsible for the adoption of green products by consumers in the Indian market. A well-structured survey questionnaire was developed and circulated to 327 participants. Various factors associated with the adoption of green products were taken into account. They were analyzed by using descriptive statistics and factor analysis. The paper concludes that 61.2% of the respondents were willing to adopt green products and the 77.1% of the respondents are aware of green products and various benefits associated with them. An effort was made to understand the influence of green labelling on the adoption of green products by consumers. From the survey, it was inferred that green labelling is an important tool used by consumers for verifying and procuring green products. It was also found that factors like “concerns about the environment” and “recommendations from family and friends” significantly influence consumer's purchase decisions about green products.</p> ]]> Understanding the Factors Responsible for the Adoption of Green Products by Consumers in the Indian Market dipen paul dharmesh k. mishra sushant malik akshay patil doi: 10.56578/jgelcd010105 Journal of Green Economy and Low-Carbon Development 12-28-2022 Journal of Green Economy and Low-Carbon Development 12-28-2022 2022 1 1 Article 45 10.56578/jgelcd010105 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010105 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010104 The natural resources that exist on this small island have the potential as a tourism destination. The purpose of this research is to be able to develop the potential of community-based tourism. The method used to collect data is observation and in-depth interviews with key figures, then the data is analyzed descriptively and analysis of component 4(A) namely attraction, accessibility, amenity, and ancillary of Tourist Attractions. The results identified are land use patterns, tourist attractions include beach tourism, mangrove tourism, underwater tourism (snorkelling), special interest tours for langurs, cycling tours (around the island), climbing tours, and religious tourism. Existing accessibility includes roads, boats, and piers. The amenities include places of worship, public toilets, food stalls, lodging, and snorkeling equipment rental services. Additional or ancillary facilities that exist are an information center located at the village office and a tour guide. The need for human resource training is also very much needed to shape community-based tourism to be much better. 12-28-2022 <![CDATA[ <p>The natural resources that exist on this small island have the potential as a tourism destination. The purpose of this research is to be able to develop the potential of community-based tourism. The method used to collect data is observation and in-depth interviews with key figures, then the data is analyzed descriptively and analysis of component 4(A) namely attraction, accessibility, amenity, and ancillary of Tourist Attractions. The results identified are land use patterns, tourist attractions include beach tourism, mangrove tourism, underwater tourism (snorkelling), special interest tours for langurs, cycling tours (around the island), climbing tours, and religious tourism. Existing accessibility includes roads, boats, and piers. The amenities include places of worship, public toilets, food stalls, lodging, and snorkeling equipment rental services. Additional or ancillary facilities that exist are an information center located at the village office and a tour guide. The need for human resource training is also very much needed to shape community-based tourism to be much better.</p> ]]> The Potential of Tourism in Pahawang Island, Lampung Province, Indonesia indra gumay febryano putri wahyuni hari kaskoyo abdullah aman damai henky mayaguezz doi: 10.56578/jgelcd010104 Journal of Green Economy and Low-Carbon Development 12-28-2022 Journal of Green Economy and Low-Carbon Development 12-28-2022 2022 1 1 Article 34 10.56578/jgelcd010104 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010104 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010103 Environmental issues have remained one of the most challenging social-economic impacts on the world and most countries. Tackling these challenges has remained an underlying issue as a concise approach, method, and policy are yet to be globally made available. Machine learning (ML) with support from IoTs, big data, NLP, and cloud computing is radicalizing the development of a modern-day economy via human support systems. With technical devices, systems, and processes intricately oriented to human understanding. Little environmental needs have been developed to give humans a comfortable place. Even though sensors capture and satisfy human needs, global ecosystem barriers have weighed beyond. Following changes in the world today, automated restrictions and barriers have been seen limiting humans from enjoying opportunities offered by IoTs, big data, NLP, and cloud computing due to environmental impact. Machine learning with capabilities to help humans become more informed is insignificantly exploited on the environmental needs. To suggest an integrated system, method, and areas that IoTs, big data, NLP, and cloud computing should focus on to fight negative environmental impact as a major step to fight climate change. In the study, two research questions and a hypothesis were used. Daily data on emission accusations was collected and used to respond to research questions and hypotheses. In 30 minutes per day and within a month, 412 diesel cars emitted 54,384 g CO2/km, 636 petrol cars emitted 76,320 g CO2/km, and 157 LPG cars emitted 9,577 g CO2/km. Predictions and forecasts were determined based on the data collected. Data accusations reveal they worsen the future impact as both hypotheses and research questions positively support findings that integration of sensors with machine learning can predict future climate situations. Improved gardens are needed, limit artificial items and diesel cars, and improved afforestation is needed in this city. 12-28-2022 <![CDATA[ <p>Environmental issues have remained one of the most challenging social-economic impacts on the world and most countries. Tackling these challenges has remained an underlying issue as a concise approach, method, and policy are yet to be globally made available. Machine learning (ML) with support from IoTs, big data, NLP, and cloud computing is radicalizing the development of a modern-day economy via human support systems. With technical devices, systems, and processes intricately oriented to human understanding. Little environmental needs have been developed to give humans a comfortable place. Even though sensors capture and satisfy human needs, global ecosystem barriers have weighed beyond. Following changes in the world today, automated restrictions and barriers have been seen limiting humans from enjoying opportunities offered by IoTs, big data, NLP, and cloud computing due to environmental impact. Machine learning with capabilities to help humans become more informed is insignificantly exploited on the environmental needs. To suggest an integrated system, method, and areas that IoTs, big data, NLP, and cloud computing should focus on to fight negative environmental impact as a major step to fight climate change. In the study, two research questions and a hypothesis were used. Daily data on emission accusations was collected and used to respond to research questions and hypotheses. In 30 minutes per day and within a month, 412 diesel cars emitted 54,384 g CO₂/km, 636 petrol cars emitted 76,320 g CO₂/km, and 157 LPG cars emitted 9,577 g CO₂/km. Predictions and forecasts were determined based on the data collected. Data accusations reveal they worsen the future impact as both hypotheses and research questions positively support findings that integration of sensors with machine learning can predict future climate situations. Improved gardens are needed, limit artificial items and diesel cars, and improved afforestation is needed in this city.</p> ]]> Integration of Sensors and Predictive Analysis with Machine Learning as a Modern Tool for Economic Activities and a Major Step to Fight Against Climate Change pascal muam mah iwona skalna tomasz pełech-pilichowski john muzam eric munyeshuri promise offiong uwakmfon polycap mudoh doi: 10.56578/jgelcd010103 Journal of Green Economy and Low-Carbon Development 12-28-2022 Journal of Green Economy and Low-Carbon Development 12-28-2022 2022 1 1 Article 16 10.56578/jgelcd010103 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010103 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010102 The paper presents the results of research on the influence of logistics customer service on sustainability-focused freight transport practices of enterprises. Additionally, the extended perspective of the key relation through the inclusion of the joint effect of selected organizational competencies of the companies and their competitiveness in interaction with logistics customer service was introduced. The adopted research procedure included the use of several different statistical methods with regard to data collected in 275 freight transport enterprises. First, the Kaiser-Meyer-Olkin test and the Bartlett Sphericity test were determined, then a factor analysis was carried out with the intention of performing a reliability analysis and discriminant validity assessment, and finally, correlations and hierarchical multiple regression were determined. The findings of the research suggest a primal concluding explication that sustainability-focused freight transport practices are conditioned by auxiliary logistics processes realized by the enterprise within logistics customer service, joint competencies within the organization’s management, as well as peripheral circumstances of competitiveness. 12-28-2022 <![CDATA[ <p>The paper presents the results of research on the influence of logistics customer service on sustainability-focused freight transport practices of enterprises. Additionally, the extended perspective of the key relation through the inclusion of the joint effect of selected organizational competencies of the companies and their competitiveness in interaction with logistics customer service was introduced. The adopted research procedure included the use of several different statistical methods with regard to data collected in 275 freight transport enterprises. First, the Kaiser-Meyer-Olkin test and the Bartlett Sphericity test were determined, then a factor analysis was carried out with the intention of performing a reliability analysis and discriminant validity assessment, and finally, correlations and hierarchical multiple regression were determined. The findings of the research suggest a primal concluding explication that sustainability-focused freight transport practices are conditioned by auxiliary logistics processes realized by the enterprise within logistics customer service, joint competencies within the organization’s management, as well as peripheral circumstances of competitiveness.</p> ]]> Logistics Customer Service and Sustainability-Focused Freight Transport Practices of Enterprises: Joint Influence of Organizational Competencies and Competitiveness marta kadłubek eleftherios thalassinos gratiela georgiana noja mirela cristea doi: 10.56578/jgelcd010102 Journal of Green Economy and Low-Carbon Development 12-28-2022 Journal of Green Economy and Low-Carbon Development 12-28-2022 2022 1 1 Article 2 10.56578/jgelcd010102 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010102 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010101 12-28-2022 <![CDATA[ ]]> Editorial to the Inaugural Issue mirela cristea doi: 10.56578/jgelcd010101 Journal of Green Economy and Low-Carbon Development 12-28-2022 Journal of Green Economy and Low-Carbon Development 12-28-2022 2022 1 1 Article 1 10.56578/jgelcd010101 https://www.acadlore.com/article/JGELCD/2022_1_1/jgelcd010101