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Journal of Green Economy and Low-Carbon Development
Journal of Green Economy and Low-Carbon Development (JGELCD)
ISSN (print): 2957-9600
ISSN (online): 2957-9619
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2024: Vol. 3

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 proficiency in orchestrating the peer-review, editing, and production processes, all accepted articles see rapid publication.

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

mirela cristea
University of Craiova, Romania
Research interests: Financial Risk Management; Banking; Banking and Finance

Aims & Scope


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.


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.

Recent Articles
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Open Access
Research article
Multicriteria Sustainability Assessment of Transport Modes: A European Union Case Study for 2020
nikola petrović ,
vesna jovanović ,
saša marković ,
dragan marinković ,
marijana petrović
Available online: 03-30-2024


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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.


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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.


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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.


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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.


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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.


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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.


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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.


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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.


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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.


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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.


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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.

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