Energy Strategy Reviews最新文献

{"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}

{"title":"Inclusive green finance approach to assess energy resilience: Integrating artificial intelligence (AI) utilization in energy strategy perspective","authors":"Beichen Xu","doi":"10.1016/j.esr.2025.101696","DOIUrl":"10.1016/j.esr.2025.101696","url":null,"abstract":"<div><div>The paper investigates the use of Artificial Intelligence (AI) in the energy strategy perspective of energy resilience with the inclusive role of green finance in China. The data from 2012 to 2022 is assessed using split analysis, regression analysis, heterogeneity analysis, Bayesian underlying process, and robustness analysis technique. The results revealed that AI utilization has the potential to generate a shift in the perspective of energy strategy and might lead China to the following heights. The study findings confirmed that AI utilization enhances energy resilience in energy systems. Furthermore, AI technology also has a significant role in retaining the inclusiveness of green finance from an energy industrial perspective. However, our findings confirmed that artificial intelligence in the energy industry enhances energy sustainability growth in energy generation and leads to the adoption of modern financing options like green finance. Based on research findings, the paper explains multiple policy guidelines for policymakers in designing robust AI-supported energy strategies to enhance their long-term resilience with financial sustainability in China.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101696"},"PeriodicalIF":7.9,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783538","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}

{"title":"Economic viability of high-performance cycle systems: Energy and cost efficiency insights","authors":"Rui Xie ,&nbsp;Xiaojuun Deng ,&nbsp;Yuannxing Yin ,&nbsp;Dilafruz Fayziyeva ,&nbsp;Elchin Eyvazov ,&nbsp;Fu Liu","doi":"10.1016/j.esr.2025.101675","DOIUrl":"10.1016/j.esr.2025.101675","url":null,"abstract":"<div><div>This study evaluates the economic viability of high-performance cycle systems through a comprehensive analysis of energy and cost efficiency factors in thermal energy storage technologies. Our research identifies significant cost-benefit advantages of innovative design approaches over conventional systems in industrial applications. Through rigorous economic modeling and performance testing, we analyzed operational efficiency, capital investment requirements, and long-term financial returns. Results demonstrate that the advanced designs deliver substantial economic benefits by reducing operational times by 33.2%, enhancing energy utilization rates by 48.4%, and improving overall system efficiency by 8.3% compared to traditional approaches. Optimized system configurations further enhanced performance metrics and cost-effectiveness. Our economic analysis reveals significant potential for operational cost reduction and energy efficiency improvements in industrial applications, with projected payback periods shortened by approximately one-third. These findings underscore the economic viability of implementing innovative designs in high-performance cycle systems, with implications for reducing operational costs, improving return on investment, and enhancing market competitiveness in energy-intensive industries. Future research directions include scaling applications for various industrial sectors and quantifying broader economic and sustainability impacts.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101675"},"PeriodicalIF":7.9,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714692","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}

{"title":"Renewable energy market in Africa: Opportunities, progress, challenges, and future prospects","authors":"Temidayo Alex-Oke ,&nbsp;Olusola Bamisile ,&nbsp;Dongsheng Cai ,&nbsp;Humphrey Adun ,&nbsp;Chiagoziem Chima Ukwuoma ,&nbsp;Samaila Ado Tenebe ,&nbsp;Qi Huang","doi":"10.1016/j.esr.2025.101700","DOIUrl":"10.1016/j.esr.2025.101700","url":null,"abstract":"<div><div>The transition to renewable energy is crucial for addressing Africa's rising energy demand while fostering sustainable development. With abundant renewable resources such as solar, wind, hydropower, and biomass, Africa is uniquely positioned to play a key role in the global low carbon energy transition. This study investigates the role of renewable energy in supporting Africa's Nationally Determined Contributions (NDCs) and its alignment with the Paris Agreement's climate goals. Using a combination of empirical methodologies, including market analysis and cost-benefit evaluations, we assess the potential of renewable energy to reduce greenhouse gas emissions, alleviate energy poverty, and promote economic growth. Our findings show that harnessing just 25 % of Africa's renewable energy potential could significantly reduce energy poverty, contributing to a sustainable, low-carbon future. Furthermore, we highlights the declining costs of renewable energy technologies, driven by innovation, economies of scale, and market dynamics, making renewable energy increasingly competitive with traditional energy sources. This has led to lower consumer energy prices, improved market attractiveness, and enhanced profitability for renewable energy investments. By examining the socio-economic impacts of renewable energy adoption, the study provides key insights into the market dynamics, investment potential, and policy implications for accelerating Africa's renewable energy transition. Our findings suggest that targeted investments in renewable energy could drive a just transition, improve energy access, and foster long-term socio-economic development across the continent.</div></div>","PeriodicalId":11546,"journal":{"name":"Energy Strategy Reviews","volume":"59 ","pages":"Article 101700"},"PeriodicalIF":7.9,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143714694","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}