发电技术2024，Vol.45Issue(3)：458-467,10.DOI:10.12096/j.2096-4528.pgt.23070
基于改进三阶段松弛测量-数据包络模型的火电上市公司碳排放效率评估研究
The Carbon Emission Efficiency of China's Listed Thermal Power Companies:An Improved Three-Stage Slack Based Measure-Data Envelopment Analysis Model
摘要
Abstract
[Objectives]Calculate the carbon emission efficiency of listed thermal power companies,compare and analyze the reasons why the efficiency ranks at the bottom and the top driving factors,group thermal power companies according to different conditions,and explore the influencing factors of efficiency differences.[Methods]Based on the improved three-stage undesirable-slack based measure(SBM)-data envelopment analysis(DEA)model to more accurately measure the total-factor carbon emission efficiency of China listed thermal power companies during 2016-2022.[Results]The carbon emission efficiency of listed thermal power companies rises annually and lowers when the effects of the external environment are taken into account.The increasing environmental subsidies from government may lead to excessive investment of capital,personnel and coal consumption in the thermal power companies.The increasing in regional R&D investment has a beneficial impact on company assets,personnel,and coal consumption.The most effective utilization of company assets and employees management will be promoted by a better regional economic level,but wasteful consumption of coal for power generation will occur.[Conclusions]The listed thermal power companies with central control,low coal consumption rate and carbon emissions trading have higher technology gap rate and better overall carbon emission efficiency.关键词
改进三阶段松弛值测量-数据包络分析(SBM-DEA)/Malmquist指数/火电上市公司/碳排放效率Key words
improved three-stage undesirable-slack based measure(SBM)-data envelopment analysis(DEA)/Malmquist index/listed thermal power company/carbon emission efficiency分类
能源科技引用本文复制引用
袁家海,胡玥琳,张健..基于改进三阶段松弛测量-数据包络模型的火电上市公司碳排放效率评估研究[J].发电技术,2024,45(3):458-467,10.基金项目
国家自然科学基金项目(72173043) （72173043）
教育部哲学社会科学研究后期资助项目(22JHQ096).Project Supported by National Natural Science Foundation of China(72173043) （22JHQ096）
The Late Stage Funding Project of Philosophy and Social Science Research of the Ministry of Education(22JHQ096). （22JHQ096）
