基于三阶段SBM-DEA模型的中国火电行业碳排放时空演化分析

IF 3.5 3区 社会学 Q2 ENVIRONMENTAL STUDIES
Guoquan Xu, Shi Feng, Shucen Guo, Xiaolan Ye
{"title":"基于三阶段SBM-DEA模型的中国火电行业碳排放时空演化分析","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":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"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\":null,\"pages\":null},\"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}","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

摘要

目的中国提出了到2030年实现碳达峰和到2060年实现碳中和的两阶段目标。电力行业,特别是火电行业的碳减排效果,将直接影响目标的进展。本文旨在揭示火电行业碳排放效率的时空特征和影响因素,并为实现我国碳达峰和碳中和目标提出政策建议。设计/方法论/方法本文基于非期望产出数据包络分析(DEA)模型中效率的三阶段松弛测度(SBM),排除环境因素和随机误差的影响,对2014-2019年中国29个省区火电行业的碳排放效率进行了评估和比较。实证结果表明,在样本期内,中国火电行业的碳排放效率呈波动上升趋势,各省份的碳排放率差异较大。区域间火电产业的碳排放效率呈现“东>中>西”的格局,与区域经济发展水平相一致。经济水平和环境调控水平等环境因素有利于火电行业碳排放效率的提高,但火电发电占比和产业结构则相反。独创性/价值本文采用不期望产出的三阶段SBM–DEA模型,以CO2为不期望产出,揭示了中国火电行业碳排放效率的时空特征和影响因素。研究结果为中国火电行业碳排放效率的区域比较评价和影响因素提供了更全面的视角。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The spatial-temporal evolution analysis of carbon emission of China's thermal power industry based on the three-stage SBM—DEA model
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
8.10
自引率
8.30%
发文量
43
审稿时长
15 weeks
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信