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Journal of Green Economy and Low-Carbon Development
JERRSD
Journal of Green Economy and Low-Carbon Development (JGELCD)
JHMIES
ISSN (print): 2957-9600
ISSN (online): 2957-9619
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2025: Vol. 4
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Journal of Green Economy and Low-Carbon Development (JGELCD) emerges as a vital scholarly platform, uniquely committed to the exploration and advancement of green economy and low-carbon development. As a distinguished journal, it pioneers in bridging theoretical knowledge with practical solutions in environmental sustainability. What sets JGELCD apart from its counterparts is its focused dedication to examining the interplay between economic growth and environmental stewardship, highlighting innovative strategies for a sustainable future. It also emphasizes the critical role of low-carbon initiatives in shaping global economic and environmental policies. Upholding its commitment to academic excellence and timely discourse. Published quarterly by Acadlore, the journal typically releases its four issues in March, June, September, and December each year.

  • Professional Service - Every article submitted undergoes an intensive yet swift peer review and editing process, adhering to the highest publication standards.

  • Prompt Publication - Thanks to our expertise in orchestrating the peer-review, editing, and production processes, all accepted articles are published rapidly.

  • Open Access - Every published article is instantly accessible to a global readership, allowing for uninhibited sharing across various platforms at any time.

Editor(s)-in-chief（1）
simona mirela cristea
Department of Finance, Banking and Economic Analysis, University of Craiova, Romania
simona.cristea@edu.ucv.ro | website
Research interests: Financial Risk Management; Banking; Banking and Finance

Aims & Scope

Aims

The Journal of Green Economy and Low-Carbon Development (JGELCD), a leading international open-access journal, is dedicated to exploring the technological advancements and economic strategies essential for addressing climate change challenges. Our mission centers on facilitating economic transformation towards sustainable, low-carbon development, underscoring the critical role of the green economy in today's global context. JGELCD welcomes diverse submissions, including reviews, regular research papers, short communications, and Special Issues on targeted themes, all aimed at promoting the broad dissemination of innovative ideas in green and low-carbon development.

The journal's primary objective is to serve as a catalyst for researchers to share detailed theoretical and experimental findings, contributing significantly to the field. JGELCD imposes no restrictions on the length of papers, advocating for comprehensive detail to enable result replication. Additional journal features include:

  • Every publication benefits from prominent indexing, ensuring widespread recognition.

  • A distinguished editorial team upholds unparalleled quality and broad appeal.

  • Seamless online discoverability of each article maximizes its global reach.

  • An author-centric and transparent publication process enhances submission experience.

Scope

The scope of the journal covers, but is not limited to the following topics:

  • Carbon Reduction Strategies: In-depth analysis of carbon reduction techniques in various industries, exploring innovative methods and policies for reducing carbon footprints.

  • Carbon Trading and Market Mechanisms: Examination of carbon trading systems, market-based approaches to emissions reduction, and the economic implications of carbon markets.

  • Sustainable Energy Systems: Studies on distributed energy systems, the role of renewable energy sources such as solar, wind, and hydro, and the integration of these systems into existing energy grids.

  • Green Building and Sustainable Architecture: Focus on energy-efficient building designs, natural ventilation systems, and the use of sustainable materials in construction.

  • Environmental Economics and Policy: Exploration of the intersection between economic development and environmental sustainability, including the study of eco-taxes, green subsidies, and environmental policy-making.

  • Advanced Energy Technologies: Research on cutting-edge technologies like fuel cells, geothermal energy, and advanced energy storage solutions.

  • Green Supply Chain Management: Analysis of sustainable practices in supply chain management, including green logistics and sustainable procurement.

  • Renewable Energy Policies and Economics: Discussion of the policy frameworks and economic models that support renewable energy development and adoption.

  • Low Carbon Technologies and Applications: Investigation into technologies aimed at reducing carbon emissions, including carbon capture and storage, low-carbon transportation solutions, and energy-efficient appliances.

  • Circular Economy and Resource Efficiency: Examination of circular economy models, focusing on waste reduction, resource efficiency, and sustainable consumption patterns.

  • Investment in Green Technologies: Analysis of trends and opportunities in financing renewable energy projects, green infrastructure, and low-carbon development initiatives.

  • Sustainable Development and Environmental Ethics: Discussions on sustainable development goals, ethical considerations in environmental decision-making, and the long-term impact of current practices on future generations.

  • Climate Change Mitigation and Adaptation Strategies: Studies on strategies to mitigate the impacts of climate change and adapt to its effects, especially in vulnerable regions.

  • Socio-economic Aspects of Green Development: Exploration of the social and economic dimensions of transitioning to a green economy, including impacts on employment, social equity, and community engagement.

  • Education and Awareness in Green Economy: Focus on the role of education and public awareness in promoting environmental sustainability and low-carbon lifestyles.

  • Innovative Case Studies: Presentation of case studies showcasing successful examples of green economy initiatives, low-carbon development projects, and sustainable business practices.

Articles
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Abstract

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Artificial intelligence is a transformative enabler of sustainable business practices, offering substantial opportunities to enhance the environmental and operational performance of micro, small, and medium enterprises. Despite growing global interest in artificial intelligence-driven sustainability, limited attention has been directed toward its application in resource-constrained and conflict-affected economies. This study aims to examine the role of artificial intelligence in facilitating sustainable practices among green micro, small, and medium enterprises and to evaluate the applicability of successful artificial intelligence adoption experiences from India to Afghanistan. A qualitative research design based on a structured literature review was employed, and relevant secondary data were systematically collected from peer-reviewed publications indexed in Scopus, Science Direct, and Google Scholar. The reviewed evidence demonstrates that artificial intelligence can significantly improve resource efficiency, energy management, waste reduction, supply chain optimization, environmental monitoring, green marketing, and eco-innovation. The Indian experience indicates that successful artificial intelligence adoption has been facilitated by supportive policy frameworks, expanding digital infrastructure, and continuous capacity development for micro, small, and medium enterprises. In contrast, artificial intelligence adoption in Afghanistan is constrained by inadequate digital infrastructure, limited technological readiness, and insufficient financial resources. Nevertheless, the findings suggest that these barriers can be progressively mitigated through context-specific implementation strategies. It is therefore concluded that artificial intelligence can serve as a practical catalyst for accelerating sustainable micro, small, and medium enterprise transformation and promoting green economic development in Afghanistan when integrated with coordinated investments in digital infrastructure, technical capacity development, supportive policy frameworks, and financial support mechanisms. By synthesizing existing knowledge and translating successful practices from India into the Afghan context, this study contributes to the growing literature on artificial intelligence-driven sustainable entrepreneurship and provides evidence-based policy recommendations for fostering environmentally sustainable and economically resilient micro, small, and medium enterprises in developing economies.

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The Yellow River Basin plays a crucial part in China’s plan to meet the “Dual Carbon” targets since reduction of carbon emissions has a profound impact on the national path towards low-carbon development. This research adopted the Tapio decoupling model and the GM(1,1) grey forecasting model to examine how carbon emissions interacted among nine provinces and regions within the Basin from 2006 to 2021. It also predicted future emission tendencies and obtained the following key results: (1) From 2006 to 2021, total carbon emissions in the Yellow River Basin grew at an average annual rate of 4.17%, with the upper and middle reaches driving most of the increase while the lower reaches continued to account for the majority of emissions; (2) The decoupling relationship between economic growth and carbon emissions demonstrated different patterns over space and time. Mostly the upper areas had a type of expansive negative decoupling, the middle areas fluctuated extensively, and the lower areas mostly encountered a weak decoupling situation. During the study period, there was a shift from extensive growth to more differentiation; and (3) According to the projections of the GM(1,1) grey forecasting model, carbon emissions in these nine provinces along the Yellow River would keep increasing but at a slower pace. Therefore, the paper put forward targeted suggestions including promoting industrial green transformation in different regions, developing inter-regional cooperation mechanisms for emission reduction, and optimizing the basin-wide energy system so as to promote sustainable, green, and low-carbon development in the Yellow River Basin.

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This study explored the governance structure that supported the implementation of the European plastic circular economy by examining the relationships among legal requirements, technical standards, industrial practices, and digital infrastructure. In recent years, the European Union (EU) has strengthened its circular economy policies through measures such as the Packaging and Packaging Waste Regulation (PPWR), the Ecodesign for Sustainable Products Regulation (ESPR), and the Digital Product Passport (DPP). Researchers initially analyzed the impact of environmental regulations on global markets, global value chain (GVC) governance, and digital traceability systems as separate topics. Relatively little attention has been paid to how these elements incorporated as a single governance system. To bridge this research gap, this study introduced the concept of Institutional Translation and proposed an analytical framework encompassing three institutional domains, i.e., law, standardization, and industrial practice, to be supported by a cross-cutting digital infrastructure. Using qualitative mechanism mapping, the study explored how policy objectives were translated into operational practices. The findings underscored the effectiveness of the EU circular economy framework though it depended not simply on regulation, standards, or digital systems in isolation. The way these elements interacted was indeed the critical impetus. Policy objectives were translated into compulsory market conditions through legal mandates, operationalized through standards developed in interaction with the industry, and supported by digital infrastructures that facilitated traceability and compliance verification across value chains. In summary, the European circular economy framework extended beyond conventional environmental regulation by combining legal requirements, standardization processes, industrial practices, and digital infrastructures in a coherent governance arrangement. By introducing the concept of Institutional Translation, this study explained how circular economy policies were put into practice across complex value chains.
Open Access
Research article
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
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Available online: 10-26-2025

Abstract

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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.

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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.

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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.

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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.

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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.
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