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A bibliometric mapping and trend analysis of MCDM in renewable energy research MCDM在可再生能源研究中的文献计量制图与趋势分析
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-31 DOI: 10.1016/j.esr.2026.102079
Gülay Demir , Fatih Ecer , Serhat Yüksel , Hasan Dinçer
This paper examines the connection between renewable energy and Multi-Criteria Decision Making (MCDM) through an extensive bibliometric mapping and trend analysis covering 2014–2024. Concerns about climate change and energy security have brought the transition to renewable sources to the forefront of international discussion and action, highlighting the need for effective support systems to aid decisions that reduce dependence on fossil fuels. MCDM methods, which evaluate and prioritize competing criteria, are crucial in these contexts. Using a collection of 1322 peer-reviewed articles from the Scopus database and tools like Biblioshiny and CiteSpace, there is clear evidence of a rapid increase in publication activity, with a compound annual growth rate of approximately 15.2 %, along with significant methodological progress in this research area. The analysis indicates that current studies are shifting from project-specific investigations (such as site selection and feasibility analyses for energy sites) to broader applications involving systems like micro-grids and hydrogen-based networks. The findings reveal a rapid increase in publication activity after 2018, with sustainability, CO2 emissions, energy transition, and system-level applications emerging as dominant research themes. Digital integration with AI and blockchain is a major emerging trend. A notable emerging trend is the integration of digital and techno-scientific fields, including AI and Blockchain, with MCDM techniques. Decision criteria, considering various policy initiatives and international agreements like the Paris Agreement and COP29, now emphasize energy justice and circular economy principles. Geographically, key contributions come from China, Turkey, and India, although advancements in solar and wind energy research show higher levels of sophistication. Future research priorities include exploring the role of green hydrogen chains for energy production and distribution, evaluating energy storage potential, developing climate resilience models, measuring energy justice, and enhancing digital and technological interfaces in this field.
本文通过广泛的文献计量制图和趋势分析,研究了可再生能源与多标准决策(MCDM)之间的联系。对气候变化和能源安全的担忧使向可再生能源的过渡成为国际讨论和行动的前沿,突出表明需要有效的支持系统来帮助做出减少对化石燃料依赖的决策。MCDM方法,评估和优先考虑竞争标准,在这些情况下至关重要。通过对Scopus数据库中1322篇同行评议文章以及Biblioshiny和CiteSpace等工具的分析,我们可以清楚地看到,论文发表活动在快速增长,复合年增长率约为15.2% %,同时该研究领域的方法学也取得了重大进展。分析表明,目前的研究正在从特定项目的调查(如选址和能源站点的可行性分析)转向涉及微电网和氢基网络等系统的更广泛的应用。研究结果显示,2018年之后,论文发表量迅速增加,可持续性、二氧化碳排放、能源转型和系统级应用成为主导研究主题。与人工智能和区块链的数字集成是一个主要的新兴趋势。一个显著的新兴趋势是数字和科技领域(包括人工智能和区块链)与MCDM技术的融合。考虑到各种政策倡议和国际协议,如《巴黎协定》和COP29,决策标准现在强调能源正义和循环经济原则。从地理上看,主要贡献来自中国、土耳其和印度,尽管太阳能和风能研究的进步显示出更高的复杂程度。未来的研究重点包括探索绿色氢链在能源生产和分配中的作用,评估能源储存潜力,开发气候适应能力模型,衡量能源正义,以及加强该领域的数字和技术接口。
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引用次数: 0
Optimal scheduling and uncertainty-aware planning of electric vehicles charging stations for enhanced power distribution network performance 提高配电网性能的电动汽车充电站优化调度与不确定性感知规划
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-31 DOI: 10.1016/j.esr.2026.102053
Aidin Shaghaghi , Mohammad Taghitahooneh , Sajad Qezelbigloo , Rahim Zahedi , Vahid Rezaei , Mir Hamidreza Moosavi
This paper introduces a dual-optimization framework designed to integrate Electric Vehicle (EV) charging stations into distribution networks, aiming to maximize economic returns while simultaneously improving network performance. Initially, a GA-based optimal scheduling framework is developed to maximize the collective profit for both EV owners and charging stations, incorporating financial penalties for service failures. Subsequently, a robust statistical simulation is utilized to account for uncertainties in vehicle availability and generate realistic station load profiles. These loads are then applied to the IEEE 33-bus system to evaluate key network performance indicators, including loss costs and voltage drops at the buses. The findings demonstrate that the proposed planning strategy, combined with strategic bus placement, effectively reduces network loss costs and enhances voltage profiles. Specifically, the loss-to-energy ratio improves from 4.36 % to 4.309 %, highlighting the framework's capability to balance economic objectives with enhanced grid efficiency.
本文介绍了一种将电动汽车充电站集成到配电网中的双优化框架,旨在实现经济效益最大化的同时提高配电网的性能。首先,开发了基于遗传算法的最优调度框架,使电动汽车车主和充电站的集体利益最大化,并对服务失败进行经济处罚。随后,利用鲁棒统计模拟来考虑车辆可用性的不确定性,并生成真实的站点负载分布。然后将这些负载应用于IEEE 33总线系统,以评估关键网络性能指标,包括总线上的损耗成本和电压降。研究结果表明,所提出的规划策略,结合战略总线布局,有效地降低了网络损耗成本,提高了电压分布。具体来说,耗电量比从4.36 %提高到4.309 %,突出了该框架平衡经济目标和提高电网效率的能力。
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引用次数: 0
Bridging the energy divide. China energy loans and rural electrification in developing countries 弥合能源鸿沟。中国能源贷款和发展中国家农村电气化
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-30 DOI: 10.1016/j.esr.2026.102066
Haoru Yang , Vincent Tawiah , Hela Borgi
This study investigates the impact of Chinese energy loans on rural electrification in 68 emerging countries from 2001 to 2023, addressing a critical gap in understanding the role of external financing in alleviating energy poverty. Using country fixed-effect and System Generalized Method of Moments (S-GMM) models, the findings provide robust evidence that a 1 % increase in Chinese energy loans leads to an average increase of approximately 0.10 percentage points in rural electricity access. However, corruption significantly attenuates this relationship, underscoring the importance of institutional quality in mediating the impact of infrastructure outcomes. Drawing on development economics theory, the analysis demonstrates that Chinese energy loans help address capital and infrastructural deficits in rural areas by facilitating the expansion of national grids, promoting off-grid renewable solutions, and supporting critical energy infrastructure. Illustrative examples, such as the Kafue Gorge Lower Hydropower Project in Zambia and the Karuma Hydropower Project in Uganda, underscore the transformative potential of such investments. The study offers novel empirical insights into how Chinese financing contributes to Sustainable Development Goal 7 (universal energy access). Policy implications suggest that while Chinese energy loans are effective in improving rural electrification, complementary reforms in governance and transparency are essential to maximise their developmental impact.
本研究调查了2001年至2023年间中国能源贷款对68个新兴国家农村电气化的影响,解决了理解外部融资在缓解能源贫困方面的关键空白。利用国家固定效应和系统广义矩量法(S-GMM)模型,研究结果提供了强有力的证据,表明中国能源贷款每增加1% %,农村电力接入平均增加约0.10个百分点。然而,腐败大大削弱了这种关系,强调了制度质量在调节基础设施成果影响方面的重要性。根据发展经济学理论,该分析表明,中国的能源贷款通过促进国家电网的扩张、推广离网可再生能源解决方案和支持关键的能源基础设施,有助于解决农村地区的资本和基础设施赤字。赞比亚Kafue Gorge下游水电项目和乌干达Karuma水电项目等说明性的例子强调了此类投资的变革潜力。该研究为中国融资如何促进可持续发展目标7(普遍能源获取)提供了新的实证见解。政策含义表明,尽管中国能源贷款在改善农村电气化方面是有效的,但在治理和透明度方面的配套改革对于最大限度地发挥其发展影响至关重要。
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引用次数: 0
Enhancing the understanding of China's wind power development: Spatial-temporal dynamics and determinants from a whole industry chain perspective 增强对中国风电发展的认识:全产业链视角下的时空动态与决定因素
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-30 DOI: 10.1016/j.esr.2026.102105
Yadong Wang, Zhengyuan Zhai, Zhewen Kang, Mingjie Wang, Qingting Cai, Delu Wang
As China's wind power industry shifts from scale expansion toward value enhancement, improving development performance increasingly depends on coordination across segments of the industry chain. This study provides a comprehensive analysis of China's wind power development (CWPD) from a whole industry chain perspective, covering innovation, investment, production and consumption. Using exploratory spatial data analysis and the geographical detector model, this study examines the spatial-temporal characteristics and key determinants of CWPD from 2005 to 2021. Results show that: (1) At the national level, spatial agglomeration in investment, production and consumption has generally weakened over time, while innovation has shown a renewed tendency toward spatial concentration; (2) Spatially, CWPD follows a pattern characterized by the coastal concentration of innovation, resource-driven investment and production in northern regions, and demand-oriented consumption in eastern regions. However, the persistent separation among innovation, deployment, and demand centers leads to structural mismatches along the industry chain; (3) Wind resource endowment shapes the spatial-temporal patterns, while GDP, green finance, and urbanization further intensify agglomeration. Economic policy uncertainty and environmental regulations serve as external driving forces for the transformation of spatial-temporal characteristics, while technology acts as an internal driving force. Based on these findings, this study advises Chinese policymakers to facilitate a shift from capacity-oriented expansion toward coordinated whole industry chain planning, prioritizing a short-term emphasis on local absorption and system integration in wind-rich regions, a medium-term focus on cross-regional grid and market coordination, and long-term strategies promoting functional complementarity among innovation, deployment, and consumption centers.
随着中国风电产业从规模扩张向价值提升转变,提高发展绩效越来越依赖于产业链各环节的协调。本研究从创新、投资、生产、消费等全产业链角度对中国风电发展进行了全面分析。利用探索性空间数据分析和地理探测器模型,研究了2005 - 2021年中国CWPD的时空特征及其关键影响因素。结果表明:①在国家层面上,投资、生产和消费的空间集聚随着时间的推移逐渐减弱,而创新则呈现出新的空间集聚趋势;(2)从空间上看,东北沿海地区呈现创新集中、资源驱动型投资和生产、需求驱动型消费的格局。然而,创新中心、部署中心和需求中心之间的持续分离导致产业链上的结构性不匹配;③风资源禀赋塑造了时空格局,GDP、绿色金融和城市化进一步强化了集聚。经济政策的不确定性和环境规制是时空特征转变的外部驱动力,而技术是时空特征转变的内部驱动力。基于这些研究结果,本研究建议中国政策制定者促进从以产能为导向的扩张转向协调的全产业链规划,优先考虑短期重点放在风电资源丰富地区的本地吸收和系统集成上,中期重点放在跨区域电网和市场协调上,长期战略重点放在促进创新、部署和消费中心之间的功能互补上。
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引用次数: 0
Data-driven smart governance for dual-dimensional optimization of urban renewable energy systems: Enhancing transition depth and breadth 数据驱动的城市可再生能源系统双维度优化智能治理:提升转型深度和广度
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-28 DOI: 10.1016/j.esr.2026.102087
Hongti Song , Wei Chen
Data governance is increasingly recognized as a critical institutional instrument for facilitating energy system transformation, yet its role in reshaping the structural characteristics of urban renewable energy transitions remains insufficiently understood. This study exploits China’s National Big Data Pilot (NBDP) policy as a quasi-natural experiment and employs panel data from 291 Chinese cities spanning 2008–2022 to investigate the impact of data governance on urban renewable energy transitions. Employing a double machine learning (DML) framework, we identify the causal effects of the NBDP on multidimensional transition outcomes. The results show that the policy significantly accelerates urban renewable energy transition, with the strongest effects observed in transition breadth, followed by depth and level. Mechanism analysis reveals that renewable energy technological innovation serves as a key mediating channel, promoting substitution deepening while partially constraining short-term diversification due to path dependence. In contrast, heightened government attention to green development exerts a negative indirect effect on transition level and depth and does not mediate diversification outcomes. Further analysis indicates that the policy effects are significantly amplified in cities with more advanced digital infrastructure and higher energy demand intensity. By introducing a dual-dimensional “depth–breadth” framework, this study extends existing measures of energy transition and provides robust causal evidence on how digital governance reshapes the structural evolution of urban energy systems.
数据治理越来越被认为是促进能源系统转型的关键制度工具,但其在重塑城市可再生能源转型结构特征方面的作用仍未得到充分认识。本研究利用中国国家大数据试点(NBDP)政策作为准自然实验,采用2008-2022年291个中国城市的面板数据,研究数据治理对城市可再生能源转型的影响。采用双机器学习(DML)框架,我们确定了NBDP对多维转换结果的因果影响。结果表明:政策显著加速了城市可再生能源转型,其影响在转型广度上最强,深度次之,水平次之;机制分析表明,可再生能源技术创新在促进替代深化的同时,也在一定程度上抑制了路径依赖导致的短期多元化。政府对绿色发展的高度重视对转型水平和深度产生负向的间接影响,对多元化结果没有中介作用。进一步分析表明,在数字基础设施更先进、能源需求强度更高的城市,政策效应显著放大。通过引入二维“深度-广度”框架,本研究扩展了现有的能源转型措施,并为数字治理如何重塑城市能源系统的结构演变提供了强有力的因果证据。
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引用次数: 0
Consumer vs producer subsidies for renewable energy: The role of perception efficiency and policy portfolio in a power supply chain 消费者与生产者对可再生能源的补贴:感知效率和政策组合在电力供应链中的作用
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-28 DOI: 10.1016/j.esr.2026.102086
Daoming Dai , Lingyu Huang , Lianbiao Cui
The global transition to renewable energy (RE) hinges on the design of effective and economically efficient policy portfolios. This study develops a Stackelberg game-theoretic model of a power supply chain—comprising a generation company, a retailer, and consumers—to dissect the intricate relationships between subsidy policies, market mechanisms, and consumer behavioral characteristics. We rigorously evaluate three policy scenarios: No Subsidy (N), Subsidized Consumers (C), and Subsidized Generation Companies (G). The model explicitly quantifies subsidy perception efficiency gap between consumers and producers, and it embeds this analysis within an integrated framework combining Renewable Energy Certificate (REC) trading and Renewable Portfolio Standards (RPS). Our findings reveal that the effectiveness of a subsidy is determined not by its target (consumer vs. generation company) but by the recipient's perception efficiency. Subsidies enhance social welfare only when this efficiency surpasses a critical threshold. Furthermore, consumer environmental preferences emerge as a consistently positive driver of green power adoption and social welfare across all scenarios. We also identify a welfare-maximizing threshold for REC prices, whereas overly stringent RPS mandates are shown to be detrimental. These insights provide a robust theoretical foundation for designing coordinated, consumer-aware RE policies that can accelerate the energy transition while optimizing social welfare.
全球向可再生能源的过渡取决于有效和经济高效的政策组合的设计。本研究建立了由发电公司、零售商和消费者组成的电力供应链的Stackelberg博弈论模型,以剖析补贴政策、市场机制和消费者行为特征之间的复杂关系。我们严格评估了三种政策情景:无补贴(N)、补贴消费者(C)和补贴发电公司(G)。该模型明确量化了消费者和生产者之间的补贴感知效率差距,并将这一分析嵌入到可再生能源证书(REC)交易和可再生能源投资组合标准(RPS)的综合框架中。我们的研究结果表明,补贴的有效性不是由其目标(消费者与发电公司)决定的,而是由接受者的感知效率决定的。只有当这种效率超过一个临界阈值时,补贴才能提高社会福利。此外,消费者的环境偏好在所有情况下都是绿色能源采用和社会福利的积极驱动因素。我们还确定了REC价格的福利最大化门槛,而过度严格的RPS授权被证明是有害的。这些见解为设计协调的、消费者意识到的可再生能源政策提供了坚实的理论基础,这些政策可以加速能源转型,同时优化社会福利。
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引用次数: 0
Green ammonia in the global research spotlight: Bibliometric insights and a review of renewable pathways and applications 全球研究焦点中的绿色氨:文献计量学见解和可再生途径和应用综述
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-27 DOI: 10.1016/j.esr.2026.102070
Hanane Ait Lahoussine Ouali, Otman Abida, Nisar Ali, Mohamed Essalhi
Ammonia plays a pivotal role in global agriculture as a key precursor to nitrogen-based fertilizers and is increasingly recognized as a promising carbon-free energy carrier. However, the conventional Haber–Bosch synthesis process is energy-intensive, relying heavily on fossil fuels. To address this, the shift towards green ammonia production driven by renewable hydrogen and clean technologies is an increasingly important decarbonization strategy. This study offers a comprehensive bibliometric analysis using Scopus database on green ammonia spanning from 2006 to 2024, mapping the research trends, top-ranked countries, institutions, authors, and journals. In addition to the bibliometric analysis, the paper includes an integration of a technical overview of different renewable energy sources used for green ammonia, life cycle assessment (LCA), as well as emerging studies dealing with its applications in fertilizers, shipping fuels, and energy storage. The findings reveal accelerated growth in research output, dominated by collaborations in Europe, Asia, and North America, with a strong focus on electrolyzer development, ammonia cracking, and integration with solar and wind power. The combined bibliometric–technical approach highlights critical knowledge gaps, such as techno-economic feasibility, large-scale storage infrastructure, and safety protocols for ammonia transport. This dual analysis not only captures the advancement of scientific understanding but also provides practical guidance for policymakers, business leaders, and researchers. The results can inform technology roadmaps, foster international collaboration, and guide strategic investments in scaling up green ammonia as a cornerstone of the hydrogen economy and global net-zero transition.
作为氮基肥料的关键前体,氨在全球农业中发挥着关键作用,并日益被认为是一种有前途的无碳能源载体。然而,传统的Haber-Bosch合成过程是能源密集型的,严重依赖化石燃料。为了解决这个问题,由可再生氢和清洁技术驱动的绿色氨生产的转变是一项日益重要的脱碳战略。本研究利用Scopus数据库对2006年至2024年的绿色氨进行了全面的文献计量分析,绘制了研究趋势、排名国家、机构、作者和期刊。除了文献计量学分析之外,本文还整合了用于绿色氨的不同可再生能源的技术概述,生命周期评估(LCA),以及处理其在肥料,船舶燃料和能源存储中的应用的新兴研究。研究结果显示,研究产出加速增长,主要是欧洲、亚洲和北美的合作,重点是电解槽开发、氨裂解以及与太阳能和风能的整合。文献计量学和技术相结合的方法强调了关键的知识差距,如技术经济可行性、大规模储存基础设施和氨运输的安全协议。这种双重分析不仅抓住了科学理解的进步,而且为政策制定者、商业领袖和研究人员提供了实践指导。研究结果可以为技术路线图提供信息,促进国际合作,并指导扩大绿色氨作为氢经济和全球净零转型基石的战略投资。
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引用次数: 0
Climate-adaptive energy strategies for sustainable greenhouse systems: A Köppen-based systematic review 可持续温室系统的气候适应能源战略:Köppen-based系统综述
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-24 DOI: 10.1016/j.esr.2026.102073
Yun Dong , Xianming Ye , Dong Lin , Lijun Zhang , Xiaohua Xia
Greenhouses are essential for enhancing crop yields and enabling year-round production, but their high energy intensity and climate-sensitive demand challenge sustainability. To address the lack of climate-stratified evidence, we conduct a systematic review of climate-adaptive energy approaches for greenhouse systems structured by the Köppen climate classification (KCC). We searched the Web of Science (2019–2024) using Topic “greenhouse”, limiting to articles and refining by the “Citation Topic Micro: Greenhouse” filter; 276 records were identified and 268 articles were retained after title and abstract screening. The evidence is organized into four domains: (1) microclimate modeling and decision-support tools, (2) passive design and device-assisted enhancements, (3) active operational optimization, and (4) renewable energy integration. Results reveal climate-specific patterns: cold and arid regions most consistently benefit from insulation, thermal screens, phase-change storage, and solar–thermal-assisted heating; temperate and tropical climates increasingly adopt advanced control, including model predictive control and data-driven/learning-based controllers, to coordinate multi-variable microclimate-energy trade-offs. Renewable integration is expanding across zones, yet harmonized techno-economic and life-cycle assessments remain limited. This KCC-based synthesis supports region-specific design and operation decisions and highlights priorities for future research and deployment.
温室对于提高作物产量和实现全年生产至关重要,但其高能源强度和对气候敏感的需求对可持续性构成挑战。为了解决缺乏气候分层证据的问题,我们对由Köppen气候分类(KCC)构建的温室系统的气候适应能源方法进行了系统回顾。我们使用主题“温室”搜索Web of Science(2019-2024),限制为文章,并通过“引文主题微温室”过滤器进行细化;经标题和摘要筛选,共发现276篇文献,保留268篇文献。证据分为四个领域:(1)小气候建模和决策支持工具,(2)被动设计和设备辅助增强,(3)主动操作优化,(4)可再生能源整合。研究结果揭示了气候特有的模式:寒冷和干旱地区最一致地受益于隔热、热屏、相变储存和太阳能热辅助加热;温带和热带气候越来越多地采用先进的控制,包括模型预测控制和数据驱动/基于学习的控制器,以协调多变量微气候-能量权衡。可再生能源整合正在跨区域扩展,但统一的技术经济和生命周期评估仍然有限。这种基于kcc的综合支持特定区域的设计和操作决策,并突出了未来研究和部署的优先事项。
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引用次数: 0
Between progress and preservation: the socio-economic challenges of positive energy district in Stavanger, Norway 在进步与保护之间:挪威斯塔万格正能量区的社会经济挑战
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-24 DOI: 10.1016/j.esr.2026.102067
Yonas Tesema
In recent years, many cities across Europe have sought to promote the development of Positive Energy Districts (PEDs) to tackle pressing climate challenges, transition to low-carbon urban environments, foster environmentally sustainable economies, and plan for a sustainable urban future. Despite the increasing implementation of PEDs, local social and economic challenges continue to pose substantial hurdles for city planners and vulnerable groups. This article explores the socio-economic impacts of transforming a city neighbourhood into a carbon-neutral district in Stavanger, Norway, focusing on how business owners, political party leaders, leaders of civil society organizations, and custodians of history and heritage perceive the development of PEDs. Drawing on interviews with key stakeholders in Stavanger, this paper argues that while economic resources, capabilities, infrastructure, and technology are essential for driving energy transition efforts, it is equally important to integrate bottom-up community perspectives into PED planning. This integration is crucial for successfully implementing PED initiatives and ensuring a just energy transition.
近年来,欧洲许多城市都在寻求推动正能量区(ped)的发展,以应对紧迫的气候挑战,向低碳城市环境过渡,培育环境可持续的经济,并规划可持续的城市未来。尽管PEDs的实施越来越多,但当地的社会和经济挑战仍然给城市规划者和弱势群体带来了巨大的障碍。本文探讨了挪威斯塔万格一个城市社区转型为碳中和地区的社会经济影响,重点关注企业主、政党领导人、民间社会组织领导人以及历史和遗产管理人如何看待PEDs的发展。通过对斯塔万格主要利益相关者的访谈,本文认为,虽然经济资源、能力、基础设施和技术对于推动能源转型工作至关重要,但将自下而上的社区观点纳入PED规划也同样重要。这种整合对于成功实施PED倡议和确保公正的能源转型至关重要。
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引用次数: 0
Renewable energy, digitalization, and governance effectiveness: Pathways to environmental sustainability in South Asia 可再生能源、数字化和治理有效性:南亚环境可持续性之路
IF 7.9 2区 工程技术 Q1 ENERGY & FUELS Pub Date : 2026-01-24 DOI: 10.1016/j.esr.2026.102052
Muhammad Imran , Huiji Xu , Ayesha Naz , Misbah Aslam , Abad Alzuman , Xuebing Zhang , Na Wei
It is widely acknowledged that a sustainable environment is a crucial element in achieving sustainable development. At the 28th Conference of the Parties (COP28), it was acknowledged that climate change is a worldwide concern, which calls for a global strategy to solve this issue. To align with the objectives of COP28 and SDG13, this study examines the factors that influence environmental sustainability from both supply-side and demand-side perspectives. The current study explores the relationship between renewable power production, digitalization, financial modernization, natural resource rent, and the effectiveness of government on carbon dioxide emissions in selected South Asian economies spanning 1998 to 2023. Using the Method of Moments Quantile Regression (MMQR), our findings indicate that dependence on natural resources, digitalization, and financial modernization are substantial factors in carbon dioxide emissions. However, the effectiveness of the government and the production of renewable electricity emerge as mitigating factors, thereby reducing environmental degradation. To reduce carbon emissions in South Asian economies, Policymakers should implement regulations and incentives to ensure that financial development and digitalization support environmental sustainability. They must increase investment in renewable energy and diversify their economies to reduce dependence on non-renewables, while directing natural resource revenues toward green technology R&D.
人们普遍认识到,可持续的环境是实现可持续发展的关键因素。在第28届缔约方大会(COP28)上,人们认识到气候变化是一个全球关注的问题,需要制定全球战略来解决这一问题。为了与COP28和SDG13的目标保持一致,本研究从供给侧和需求侧两个角度考察了影响环境可持续性的因素。本研究探讨了1998年至2023年期间选定的南亚经济体的可再生能源生产、数字化、金融现代化、自然资源租金和政府对二氧化碳排放的有效性之间的关系。利用矩分位回归(MMQR)方法,我们的研究结果表明,对自然资源的依赖、数字化和金融现代化是二氧化碳排放的重要因素。然而,政府的有效性和可再生电力的生产成为缓解因素,从而减少了环境的恶化。为了减少南亚经济体的碳排放,政策制定者应实施法规和激励措施,以确保金融发展和数字化支持环境可持续性。它们必须增加对可再生能源的投资,实现经济多样化,以减少对不可再生能源的依赖,同时将自然资源收入用于绿色技术研发。
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