Analysis of the Efficiency of Provincial Electricity Substitution in China Based on a Three-Stage DEA Model

• Published in: Energies (Basel) 2021-10, Vol.14 (20), p.6650
• Main Authors: Niu, Dongxiao, Gao, Tian, Ji, Zhengsen, Liu, Yujing, Wu, Gengqi
• Format: Article
• Language: English
• Subjects: Carbon; Correlation analysis; Data envelopment analysis; Decision making; efficiency analysis; Electricity; Electricity distribution; electricity substitution; Energy consumption; Energy efficiency; Environmental factors; Environmental impact; Jurisdiction; Performance evaluation; Provinces; Random errors; Regions; Substitutes; Support vector machines; three-stage data envelopment analysis
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en14206650

An electricity substitution strategy that replaces fossil fuels such as coal and oil with electricity in end-use energy consumption, can effectively contribute to an energy transition and the early achievement of carbon peaking and carbon neutrality targets. As the benefits of electricity substitution are not synchronized across China’s regions, this paper uses a three-stage data envelopment analysis (DEA) model to measure the efficiency of electric energy substitution in 30 provinces of China in 2017. The results show that both environmental factors and random errors have significant effects on energy efficiency. After eliminating these influences, the efficiency of electrical energy substitution among regions presented the following pattern: “high in the east and low in the west”. According to the evaluation results, this paper proposes corresponding suggestions for the development of electrical energy substitution.