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Journal of Green Economy and Low-Carbon Development
JERRSD
Journal of Green Economy and Low-Carbon Development (JGELCD)
JII
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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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.

Open Access
Research article
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
|
Available online: 09-29-2025

Abstract

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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.

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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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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.

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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.

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