{"title":"Environmental efficiency of electricity supply chain systems in China: A dual heterogeneity perspective","authors":"Ruizeng Zhao , Jie Wu , Jiasen Sun","doi":"10.1016/j.eiar.2025.107876","DOIUrl":null,"url":null,"abstract":"<div><div>Evaluating the environmental efficiency of electricity systems can provide guidance for green and low-carbon development. However, the current evaluation framework fails to fully account for heterogeneity in power output and technology. This research develops a network data envelopment analysis model incorporating dual heterogeneity to assess the environmental efficiency of a composite electricity supply chain system (ESCS) comprising parallel and series connections. The current study yields several key findings. First, the environmental efficiency of China's ESCS exhibits an M-shaped trend from 2011 to 2021. Second, the low efficiency of a clean energy power subsystem is the primary factor reducing the overall environmental efficiency of ESCS. Third, significant regional disparities exist in the efficiency of ESCS and its subsystems. Fourth, the eastern region has technological advantages, the western and central areas require improved management levels, and the northeastern region has substantial room for technological advancement. Fifth, the environmental efficiency of ESCS exhibits spatial distribution characterized by agglomeration patterns of high–high and low–low. Lastly, targeted recommendations based on empirical findings are provided.</div></div>","PeriodicalId":309,"journal":{"name":"Environmental Impact Assessment Review","volume":"113 ","pages":"Article 107876"},"PeriodicalIF":9.8000,"publicationDate":"2025-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Impact Assessment Review","FirstCategoryId":"90","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0195925525000733","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Evaluating the environmental efficiency of electricity systems can provide guidance for green and low-carbon development. However, the current evaluation framework fails to fully account for heterogeneity in power output and technology. This research develops a network data envelopment analysis model incorporating dual heterogeneity to assess the environmental efficiency of a composite electricity supply chain system (ESCS) comprising parallel and series connections. The current study yields several key findings. First, the environmental efficiency of China's ESCS exhibits an M-shaped trend from 2011 to 2021. Second, the low efficiency of a clean energy power subsystem is the primary factor reducing the overall environmental efficiency of ESCS. Third, significant regional disparities exist in the efficiency of ESCS and its subsystems. Fourth, the eastern region has technological advantages, the western and central areas require improved management levels, and the northeastern region has substantial room for technological advancement. Fifth, the environmental efficiency of ESCS exhibits spatial distribution characterized by agglomeration patterns of high–high and low–low. Lastly, targeted recommendations based on empirical findings are provided.
期刊介绍:
Environmental Impact Assessment Review is an interdisciplinary journal that serves a global audience of practitioners, policymakers, and academics involved in assessing the environmental impact of policies, projects, processes, and products. The journal focuses on innovative theory and practice in environmental impact assessment (EIA). Papers are expected to present innovative ideas, be topical, and coherent. The journal emphasizes concepts, methods, techniques, approaches, and systems related to EIA theory and practice.