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The spatial-temporal evolution analysis of carbon emission of China's thermal power industry based on the three-stage SBM—DEA model
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The spatial-temporal evolution analysis of carbon emission of China's thermal power industry based on the three-stage SBM—DEA model
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Journal Article
The spatial-temporal evolution analysis of carbon emission of China's thermal power industry based on the three-stage SBM—DEA model
2023
Overview
PurposeChina 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/approachThis 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.FindingsEmpirical 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/valueThis 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.
Publisher
Emerald Group Publishing Limited
Subject
/ Carbon
/ Errors
/ GDP
/ Generalized method of moments
/ Industry
/ Power
/ Regional economic development
/ Regions
/ Time
