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

Editor(s)-in-chief(1)
mirela cristea
University of Craiova, Romania
mirelas.cristea@gmail.com
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
Recent Articles
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Open Access
Research article
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
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Available online: 06-29-2024

Abstract

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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.

Open Access
Research article
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
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Available online: 06-29-2024

Abstract

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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.

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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.

Open Access
Research article
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
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Available online: 06-29-2024

Abstract

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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.

Abstract

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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.

Abstract

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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.

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
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Available online: 03-30-2024

Abstract

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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.

Abstract

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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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