The Carbon Emission Efficiency of China’s Listed Thermal Power Companies: An Improved Three-Stage Slack Based Measure-Data Envelopment Analysis Model

doi:10.12096/j.2096-4528.pgt.23070

Abstract

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.

Key words: improved three-stage undesirable-slack based measure (SBM)-data envelopment analysis (DEA), Malmquist index, listed thermal power company, carbon emission efficiency

CLC Number:

TK 01

Jiahai YUAN, Yuelin HU, Jian ZHANG. The Carbon Emission Efficiency of China’s Listed Thermal Power Companies: An Improved Three-Stage Slack Based Measure-Data Envelopment Analysis Model[J]. Power Generation Technology, 2024, 45(3): 458-467.

Figures/Tables 9

References 19

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变量类型	指标	定义
投入变量	资本投入/亿元	固定资产总额
	劳动力投入/人	员工数量
	能源投入/万t	发电煤耗量
产出变量	期望产出/亿元	营业收入
	期望产出/(kW⋅h)	总发电量
	非期望产出/万t	碳排放量
环境变量	政府补助/千万	政府环保补助
	区域科技水平/%	区域R&D与GDP比值
	经济发展水平/(元/人)	区域人均GDP

变量类型	指标	定义
投入变量	资本投入/亿元	固定资产总额
	劳动力投入/人	员工数量
	能源投入/万t	发电煤耗量
产出变量	期望产出/亿元	营业收入
	期望产出/(kW⋅h)	总发电量
	非期望产出/万t	碳排放量
环境变量	政府补助/千万	政府环保补助
	区域科技水平/%	区域R&D与GDP比值
	经济发展水平/(元/人)	区域人均GDP

变量	固定资产总额	员工数量	发电煤耗量
营业收入	0.906^**	0.901^**	0.948^**
总发电量	0.952^**	0.949^**	0.978^**
碳排放量	0.885^**	0.954^**	0.996^**

变量	固定资产总额	员工数量	发电煤耗量
营业收入	0.906^**	0.901^**	0.948^**
总发电量	0.952^**	0.949^**	0.978^**
碳排放量	0.885^**	0.954^**	0.996^**

DMU	2016	2017	2018	2019	2020	2021	2022	平均值
华电国际	0.684	0.760	0.784	0.795	0.870	0.971	1.000	0.838
京能电力	0.701	0.726	0.668	0.732	0.825	0.854	1.000	0.787
华银电力	0.406	0.429	0.499	0.495	0.669	1.000	0.666	0.595
浙能电力	0.882	0.851	0.825	0.824	0.826	0.835	0.841	0.841
国电电力	0.651	0.659	0.691	0.763	0.830	1.000	1.000	0.799
粤电力A	0.611	0.648	0.651	0.686	1.000	1.000	0.998	0.799
建投能源	0.632	0.644	0.739	0.728	0.766	0.799	0.905	0.745
晋控电力	0.390	0.412	0.449	0.443	0.434	0.503	0.622	0.465
大唐发电	0.696	0.703	0.757	0.775	0.772	0.841	0.902	0.778
华能国际	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
江苏国信	0.592	0.562	0.599	0.614	0.724	0.791	0.765	0.664
上海电力	0.797	0.852	0.886	0.899	0.902	0.916	0.959	0.887
金山股份	0.518	0.533	0.543	0.565	0.595	0.535	0.571	0.551
长源电力	0.551	0.578	0.600	0.656	0.580	0.663	0.696	0.618
湖北能源	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
赣能股份	1.000	1.000	1.000	0.982	1.000	0.879	0.898	0.966
广州发展	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
申能股份	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
皖能电力	0.763	0.773	0.776	0.832	0.86	1.000	1.000	0.858
内蒙华电	0.462	0.430	0.472	0.484	0.569	0.673	0.718	0.544
通宝能源	0.589	0.638	0.713	0.834	0.834	0.835	0.837	0.754
华润电力	0.699	0.715	0.753	0.716	0.598	0.825	1.000	0.758
中电控股	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
华电能源	0.662	0.686	0.704	0.718	0.739	0.894	1.000	0.772
深圳能源	1.000	0.868	0.770	1.000	0.670	1.000	1.000	0.901
豫能控股	0.521	0.631	0.737	0.782	0.755	0.739	0.803	0.710
吉电股份	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
国投电力	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
中国电力	0.751	0.758	0.769	0.777	0.815	0.855	0.871	0.799
福能股份	0.987	0.782	0.647	1.000	0.670	0.974	1.000	0.866
平均值	0.752	0.755	0.768	0.803	0.810	0.879	0.902	0.810