{"title":"The spatial-temporal evolution analysis of carbon emission of China's thermal power industry based on the three-stage SBM—DEA model","authors":"Guoquan Xu, Shi Feng, Shucen Guo, Xiaolan Ye","doi":"10.1108/ijccsm-08-2022-0115","DOIUrl":null,"url":null,"abstract":"\nPurpose\nChina has proposed two-stage goals of carbon peaking by 2030 and carbon neutralization by 2060. The carbon emission reduction effect of the power industry, especially the thermal power industry, will directly affect the progress of the goal. This paper aims to reveal the spatial-temporal characteristics and influencing factors of carbon emission efficiency of the thermal power industry and proposes policy suggestions for realizing China’s carbon peak and carbon neutralization goals.\n\n\nDesign/methodology/approach\nThis paper evaluates and compares the carbon emission efficiency of the thermal power industry in 29 provinces and regions in China from 2014 to 2019 based on the three-stage slacks-based measure (SBM) of efficiency in data envelopment analysis (DEA) model of undesired output, excluding the influence of environmental factors and random errors.\n\n\nFindings\nEmpirical results show that during the sample period, the carbon emission efficiency of China’s thermal power industry shows a fluctuating upward trend, and the carbon emission efficiency varies greatly among the provincial regions. The carbon emission efficiency of the interregional thermal power industry presents a pattern of “eastern > central > western,” which is consistent with the level of regional economic development. Environmental factors such as economic level and environmental regulation level are conducive to the improvement of carbon emission efficiency of the thermal power industry, but the proportion of thermal power generation and industrial structure is the opposite.\n\n\nOriginality/value\nThis paper adopts the three-stage SBM–DEA model of undesired output and takes CO2 as the undesired output to reveal the spatial-temporal characteristics and influencing factors of carbon emission efficiency in China’s thermal power industry. The results provide a more comprehensive perspective for regional comparative evaluation and influencing factors of carbon emission efficiency in China’s thermal power industry.\n","PeriodicalId":46689,"journal":{"name":"International Journal of Climate Change Strategies and Management","volume":" ","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Climate Change Strategies and Management","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1108/ijccsm-08-2022-0115","RegionNum":3,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 3
Abstract
Purpose
China has proposed two-stage goals of carbon peaking by 2030 and carbon neutralization by 2060. The carbon emission reduction effect of the power industry, especially the thermal power industry, will directly affect the progress of the goal. This paper aims to reveal the spatial-temporal characteristics and influencing factors of carbon emission efficiency of the thermal power industry and proposes policy suggestions for realizing China’s carbon peak and carbon neutralization goals.
Design/methodology/approach
This paper evaluates and compares the carbon emission efficiency of the thermal power industry in 29 provinces and regions in China from 2014 to 2019 based on the three-stage slacks-based measure (SBM) of efficiency in data envelopment analysis (DEA) model of undesired output, excluding the influence of environmental factors and random errors.
Findings
Empirical results show that during the sample period, the carbon emission efficiency of China’s thermal power industry shows a fluctuating upward trend, and the carbon emission efficiency varies greatly among the provincial regions. The carbon emission efficiency of the interregional thermal power industry presents a pattern of “eastern > central > western,” which is consistent with the level of regional economic development. Environmental factors such as economic level and environmental regulation level are conducive to the improvement of carbon emission efficiency of the thermal power industry, but the proportion of thermal power generation and industrial structure is the opposite.
Originality/value
This paper adopts the three-stage SBM–DEA model of undesired output and takes CO2 as the undesired output to reveal the spatial-temporal characteristics and influencing factors of carbon emission efficiency in China’s thermal power industry. The results provide a more comprehensive perspective for regional comparative evaluation and influencing factors of carbon emission efficiency in China’s thermal power industry.
期刊介绍:
Effective from volume 10 (2018), International Journal of Climate Change Strategies and Management is an open access journal. In the history of science there have been only a few issues which have mobilized the attention of scientists and policy-makers alike as the issue of climate change currently does. International Journal of Climate Change Strategies and Management is an international forum that addresses the need for disseminating scholarly research, projects and other initiatives aimed to facilitate a better understanding of the subject matter of climate change. The journal publishes papers dealing with policy-making on climate change, and methodological approaches to cope with the problems deriving from climate change. It disseminates experiences from projects and case studies where due consideration to environmental, economic, social and political aspects is given and especially the links and leverages that can be attained by this holistic approach. It regards climate change under the perspective of its wider implications: for economic growth, water and food security, and for people''s survival – especially those living in the poorest communities in developing countries.