Energy Strategy Reviews最新文献

{"title":"Future strategies of thermal power enterprises: What new chapter will be unveiled by the joint mechanism of energy rights and renewable energy certificates?","authors":"Yan Li,&nbsp;Tian-tian Feng,&nbsp;Xiao-qi Sun,&nbsp;Li-li Liu,&nbsp;Cheng Zhong","doi":"10.1016/j.esr.2025.101713","DOIUrl":"10.1016/j.esr.2025.101713","url":null,"abstract":"<div><div>The escalating global energy transition imperative has intensified governmental focus on market-based mechanisms for energy governance. This study constructs a four-party evolutionary game model incorporating prospect theory and multi-objective optimization methods to systematically investigate the combined effects of policy synergy mechanisms and market incentive designs on the development of Energy-consuming Rights Trading (ERT). We find that a dynamic penalty mechanism can effectively induce compliance from firms. Driven by loss aversion, firms prefer policy defaults, highlighting unique behavioral responses under conditions of policy uncertainty. Through 525 multi-objective optimization experiments, the study identifies Pareto-optimal policy combinations at different stages. These findings suggest that combining high penalty thresholds with gradual policy integration can enhance policy effectiveness during the incubation of the ERT market. The combination of “High integration-moderate government intervention” (a = 0.05, B3 = 3.2, C3 = 3.2) can maximize ERT market activity while minimizing government intervention costs.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101713"},"PeriodicalIF":7.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143843341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does a bank-dominated financial system benefit the development of renewable energy in developing countries? The case of China","authors":"Mingbo Zheng,&nbsp;Hao Zhou","doi":"10.1016/j.esr.2025.101715","DOIUrl":"10.1016/j.esr.2025.101715","url":null,"abstract":"<div><div>Drawing on panel data encompassing 31 Chinese provinces during the period from 2007 to 2019 and employing a panel fixed-effects model, this study examines the influence of bank-dominated financial systems on the development of renewable energy alongside its specific operational mechanisms. The findings indicate that, compared to a market-dominated financial system, a bank-dominated financial system plays a significantly positive role in promoting renewable energy development. Heterogeneity analyses reveal that a bank-dominated financial system is particularly effective in fostering renewable energy development in provinces with lower levels of green finance, weaker environmental regulations, and lagging renewable energy sectors. Mechanism tests further demonstrate that a bank-dominated financial system can enhance the development of renewable energy by optimizing industrial structures and improving the level of green innovation. Ultimately, the study's conclusions underscore the pivotal role of bank-dominated financial systems in propelling the evolution of renewable energy within the Chinese context.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101715"},"PeriodicalIF":7.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effects of attention to climate change on carbon, fossil energy and clean energy markets: Based on causal network learning algorithms","authors":"Wenwen Liu,&nbsp;Miaomiao Tang,&nbsp;Peng Zhao","doi":"10.1016/j.esr.2025.101717","DOIUrl":"10.1016/j.esr.2025.101717","url":null,"abstract":"<div><div>Climate-driven market interdependencies critically influence emission reduction strategies, yet the causal mechanisms linking carbon, fossil, and clean energy markets remain poorly quantified -a knowledge gap impairing risk-aware policymaking and sustainable investments. This study uses the Peter-Clark Momentary Conditional Independence (PCMCI) method in causal network learning algorithms to systematically quantify the multidimensional dynamic causal effects of climate attention, yield, and volatility across these three markets. We construct an investor climate attention indicator using 47 climate-related keywords and analyze daily price data from seven carbon, four clean energy, and three fossil energy markets. Empirical results demonstrate that structural heterogeneity exists in the price transmission mechanism, and attention to climate change disturbances trigger cross-market chain reactions. In the yield dynamics, an expectation-driven asymmetry emerges with a multiplier amplification mechanism. The volatility transmission follows a hierarchical path. Evolutionary analysis reveals the transformation of the energy system and the core position of the carbon market. This study offers investors quantitative guidance for constructing climate-resilient portfolios, highlighting the pivotal role of climate attention within the green financial system.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101717"},"PeriodicalIF":7.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the impact of clean energy demonstration provincial policy on energy poverty: Empirical evidence from China","authors":"Yao He ,&nbsp;Yue Zhu ,&nbsp;Yingying Zhu ,&nbsp;Dongri Han","doi":"10.1016/j.esr.2025.101708","DOIUrl":"10.1016/j.esr.2025.101708","url":null,"abstract":"<div><div>Energy poverty (hereinafter referred to as <span><math><mrow><mi>E</mi><mi>P</mi></mrow></math></span>), as a new type of poverty, is an important challenge affecting energy availability and energy equity, which will lead to multiple deprivation-poverty effects, including economic, social, and ecological. In this paper, a time-varying DID model is used to investigate the impact of China's Clean energy demonstration provincial policy (hereinafter referred to as <span><math><mrow><mi>C</mi><mi>l</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>_</mo><mi>p</mi><mi>o</mi><mi>l</mi><mi>i</mi><mi>c</mi><mi>y</mi></mrow></math></span>) on <span><math><mrow><mi>E</mi><mi>P</mi></mrow></math></span> from 2008 to 2021. It is found that the <span><math><mrow><mi>C</mi><mi>l</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>_</mo><mi>p</mi><mi>o</mi><mi>l</mi><mi>i</mi><mi>c</mi><mi>y</mi></mrow></math></span> significantly reduces <span><math><mrow><mi>E</mi><mi>P</mi></mrow></math></span>, a conclusion that still holds after a series of robustness tests. Mechanistic analyses show that the <span><math><mi>C</mi><mi>l</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>_</mo><mi>p</mi><mi>o</mi><mi>l</mi><mi>i</mi><mi>c</mi><mi>y</mi></math></span> works through two pathways: \"structural adjustment” and \"efficiency improvement.” Heterogeneity analyses show that the <span><math><mrow><mi>C</mi><mi>l</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>_</mo><mi>p</mi><mi>o</mi><mi>l</mi><mi>i</mi><mi>c</mi><mi>y</mi></mrow></math></span> is more effective in suppressing <span><math><mrow><mi>E</mi><mi>P</mi></mrow></math></span> in areas northwest of the Hu Huanyong Line, in energy-poor areas, and in areas with weak environmental regulations. In addition, further research finds that the <span><math><mi>C</mi><mi>l</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>_</mo><mi>p</mi><mi>o</mi><mi>l</mi><mi>i</mi><mi>c</mi><mi>y</mi></math></span> can promote the synergy of pollution reduction and carbon reduction (hereinafter referred to as <span><math><mrow><mi>R</mi><mi>C</mi><mi>P</mi></mrow></math></span>). The findings of this paper provide an important basis for improving the <span><math><mi>C</mi><mi>l</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>_</mo><mi>p</mi><mi>o</mi><mi>l</mi><mi>i</mi><mi>c</mi><mi>y</mi></math></span>, which is of practical significance for promoting energy equity and sustainable development.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101708"},"PeriodicalIF":7.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143829357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring and optimizing pathways for regional economic and low-carbon coordination effects: A case study of the Yangtze River Economic Belt","authors":"Lu Chen ,&nbsp;Jingyi Zhao ,&nbsp;Junbo Wang ,&nbsp;Qiang Ren ,&nbsp;Wei Liu ,&nbsp;Qunyi Liu","doi":"10.1016/j.esr.2025.101725","DOIUrl":"10.1016/j.esr.2025.101725","url":null,"abstract":"<div><div>Greenhouse gas emissions exacerbate the tension between economic development and low-carbon objectives, necessitating differentiated regional low-carbon development strategies. This study provides a preliminary analysis of the carbon emission characteristics of the Yangtze River Economic Belt. It investigates the relationship between economic output and emissions using the Tapio decoupling model. Regional green total factor productivity (GTFP) is assessed using a stochastic non-parametric data envelopment analysis (DEA) approach to clarify the output targets for regional low-carbon development. A multi-objective optimization model is developed, integrating the STIRPAT, NSGA-III, and TOPSIS methods to identify optimal development pathways for the next decade. Key findings include: (1) Carbon emissions initially increased before stabilizing, with over 80 % originating from the secondary sector. (2) Both weak and strong decoupling states were observed between GDP and the carbon emission decoupling index, with fewer provinces exhibiting strong decoupling. (3) The GTFP of downstream regions is significantly superior to that of upstream regions, and technological progress has a more pronounced impact on GTFP than changes in technical efficiency. (4) Forecasting and optimization results indicate that the economic development scenario is optimal, followed by the energy development scenario, whereas the low-carbon development scenario performs least favorably. Achieving the dual objectives of regional economic growth and emission reductions within the next decade is projected to require a confluence of factors: an 8 % annual economic growth rate, a decline in fossil fuel dependence to 53 % of the energy mix, and a contraction of the secondary sector's contribution to 47 %.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101725"},"PeriodicalIF":7.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143825520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of the China's new energy market on carbon price fluctuation risk: Evidence from seven pilot carbon markets","authors":"Ruo-Yang Pu ,&nbsp;Qiao-Mei Liang ,&nbsp;Yi-Ming Wei ,&nbsp;Song-Yang Yan ,&nbsp;Xiang-Yu Wang ,&nbsp;De-Hua Li ,&nbsp;Chen Yi ,&nbsp;Chang-Jing Ji","doi":"10.1016/j.esr.2025.101718","DOIUrl":"10.1016/j.esr.2025.101718","url":null,"abstract":"<div><div>Since China implemented its carbon trading mechanism, trading risks arising from unstable carbon prices have significantly reduced its emission-reduction efficiency. Unlike traditional research, which focuses on the impact of fossil fuels on carbon prices, this study emphasises risk spillovers from new energy markets amidst large-scale renewable energy deployment. Moreover, to address subjectivity in variable selection and overfitting issues in carbon price determinants, the LASSO algorithm is integrated with the multivariate GARCH model. Using daily carbon quota prices from seven Chinese pilot markets (2014–2022), factors driving carbon price volatility are systematically identified, and the heterogeneous influence of new energy markets on carbon market risks is rigorously analysed. The results indicate that new energy market volatility significantly contributes to carbon price fluctuations. A 1 % increase in the CNI New Energy Index induces co-movement in carbon prices: Hubei (+0.08 %), Beijing (+0.01 %) and Shenzhen (+0.06 %), while Shanghai exhibits inverse sensitivity (−0.19 %). Prices in Guangdong, Tianjin and Chongqing show minimal responsiveness. Additionally, the correlation between new energy markets and carbon markets exhibits temporal heterogeneity. Furthermore, the asymmetric leverage effect suggests that negative news in new energy markets has a more significant impact on carbon markets than positive news. This study advances theoretical understanding of carbon price dynamics and offers practical insights for enhancing risk management frameworks in emissions trading systems.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101718"},"PeriodicalIF":7.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143824189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An examination of rhetoric in relation to China's renewable energy plans in light of the dual-carbon aims","authors":"Yuqi Wang ,&nbsp;Wei Mi ,&nbsp;Hongyu Chen ,&nbsp;Nawal Abdulla Adam ,&nbsp;Sanjaror Mirziabre ,&nbsp;Ah Cy","doi":"10.1016/j.esr.2025.101706","DOIUrl":"10.1016/j.esr.2025.101706","url":null,"abstract":"<div><div>China's ambitious Dual-Carbon objectives aim to peak carbon emissions by 2030 and achieve carbon neutrality by 2060, yet the alignment between policy rhetoric and actual implementation remains uncertain. While the government has emphasized renewable energy investments and sustainability narratives, challenges persist in policy enforcement, regional disparities, and the effectiveness of local government initiatives. This study examines China's renewable energy policies from 2000 to 2023, employing the Generalized Method of Moments (GMM) model across 30 provinces to assess the relationship between renewable energy technological innovation, local government competition, and carbon emissions reduction. The empirical findings reveal that renewable energy technology innovation significantly reduces carbon emissions, but its effectiveness varies regionally, with stronger impacts observed in highly marketized eastern provinces compared to central and western regions. Additionally, local government innovation competition enhances the carbon reduction effects of renewable energy investments, whereas economic competition weakens policy effectiveness by prioritizing short-term industrial growth over long-term sustainability goals. The results also indicate that energy consumption intensity and urbanization rates contribute to rising emissions, suggesting that renewable energy expansion alone is insufficient without comprehensive grid modernization and energy efficiency improvements. Furthermore, policy rhetoric on renewable energy has improved over time, yet inconsistencies in execution persist, particularly in less marketized regions where institutional and financial constraints hinder policy outcomes. These findings highlight the need for stronger policy enforcement, regional coordination, and targeted incentives to bridge the gap between rhetoric and practice, ensuring a more effective and equitable transition to a low-carbon economy.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101706"},"PeriodicalIF":7.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143824191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating quality and price dynamics of wood pellets in the Portuguese market: Impacts of geopolitical and economic factors","authors":"Rui Pinho ,&nbsp;Miguel Oliveira ,&nbsp;Bruno Manuel Mendes Teixeira ,&nbsp;Amadeu Duarte da Silva Borges","doi":"10.1016/j.esr.2025.101719","DOIUrl":"10.1016/j.esr.2025.101719","url":null,"abstract":"<div><div>The 1970s oil crisis led to a chase for alternative fossil fuel alternatives in Europe and the wood pellets were invented, though only in de 1990s gained acceptance as a dependable source of energy and needed standards to ensure quality and fair-trade conditions. Our study focused on the standard ISO 17225-2, a worldwide standard focused on evaluating pellet quality. For this work, data about prices of pellets in Germany, France, Austria and Portugal were collected. Raw materials are limited in Europe as a result of the conflict between Russia and Ukraine, which raises wood pellets prices. Portuguese prices are oddly high compared to the rest of Europe as Portuguese producers prefer to export instead of internal consumption. These findings uncovered that 3 brands of pellets don't meet the requirements for A1 class pellet.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101719"},"PeriodicalIF":7.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143824190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable futures: Aligning climate actions and socio-economic justice through the just energy transition","authors":"Phemelo Tamasiga ,&nbsp;Helen Onyeaka ,&nbsp;Malebogo Bakwena ,&nbsp;Benita Kayembe ,&nbsp;Valentine Dzingai ,&nbsp;Nancy Kgengwenyane ,&nbsp;Agnes Ariho Babugura ,&nbsp;El houssin Ouassou","doi":"10.1016/j.esr.2025.101726","DOIUrl":"10.1016/j.esr.2025.101726","url":null,"abstract":"<div><div>The transition towards a just and equitable energy system is a crucial pathway to reconciling climate action with socio-economic justice, as outlined by the Sustainable Development Goals (SDGs) and the Paris Climate Agreement. This systematic review examines the evolving scope of the Just Energy Transition, which has expanded from labor concerns to broader socio-economic and environmental dimensions. It presents a compelling case for safeguarding marginalized and vulnerable communities as economies shift to low-carbon models. The review investigates the synergies and trade-offs between SDG implementation and climate action, emphasizing the need to balance economic growth, energy access, food security, and infrastructure development with climate change adaptation and mitigation efforts. Achieving a just energy transition requires prioritizing renewable energy investments, sustainable infrastructure, and policies that promote equity. Decentralized energy systems have effectively reduced energy poverty and alleviated regional disparities. However, the review also identifies potential trade-offs, such as economic disruption and increased inequality, if the transition is not managed inclusively. These challenges require an integrated policy framework that promotes cross-sectoral collaboration, drives clean energy innovation, accelerates the mobilization of private capital, and implements targeted subsidies. Such a comprehensive approach is indispensable for securing sustainable futures that meet climate action and socio-economic justice mandates. Comprehensive stakeholder engagement and capacity-building initiatives are critical to executing a just transition that aligns economic policy with environmental stewardship.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101726"},"PeriodicalIF":7.9,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143816648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized deep neural network architectures for energy consumption and PV production forecasting","authors":"Eghbal Hosseini ,&nbsp;Barzan Saeedpour ,&nbsp;Mohsen Banaei ,&nbsp;Razgar Ebrahimy","doi":"10.1016/j.esr.2025.101704","DOIUrl":"10.1016/j.esr.2025.101704","url":null,"abstract":"<div><div>Accurate time-series forecasting of energy consumption and photovoltaic (PV) production is essential for effective energy management and sustainability. Deep Neural Networks (DNNs) are effective tools for learning complex patterns in such data; however, optimizing their architecture remains a significant challenge. This paper introduces a novel hybrid optimization approach that integrates Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) to enhance the DNN architecture for more accurate energy forecasting. The performance of GA-PSO is compared with leading hyperparameter optimization techniques, such as Bayesian Optimization and Evolutionary Strategy, across various optimization benchmarks and DNN hyperparameter tuning tasks. The study evaluates the GA-PSO-enhanced Optimized Deep Neural Network (ODNN) against traditional DNNs and state-of-the-art machine learning methods on multiple real-world energy forecasting tasks. The results demonstrate that ODNN outperforms the average performance of other methods, achieving a 27% improvement in forecasting accuracy and a 22% reduction in error across various metrics. These findings demonstrate the significant potential of GA-PSO as an effective tool to optimize DNN models in energy forecasting applications.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101704"},"PeriodicalIF":7.9,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143786032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}