Decomposition of Industrial Electricity Efficiency and Electricity-Saving Potential of Special Economic Zones in China Considering the Heterogeneity of Administrative Hierarchy and Regional Location

Jianmin You, Xiqiang Chen and Jindao Chen
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Jianmin You: School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China
Xiqiang Chen: School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China
Jindao Chen: School of Economics and Statistics, Guangzhou University, Guangzhou 510006, China

Energies, 2021, vol. 14, issue 17, 1-22

Abstract: Special Economic Zones (SEZs), an important engine of industrial economic development in China, consume large amounts of energy resources and emit considerable CO2. However, existing research pays little attention to industrial energy usage in SEZs and ignores the heterogeneity of administrative hierarchy and regional location. Considering the dual heterogeneity, this study proposes an improved two-dimension and two-level meta-frontier data envelopment analytical model to decompose the industrial electricity efficiency (IEE) and electricity-saving potential of SEZs in Guizhou Province, China, based on 4-year field survey data (2016–2019). Results show that the IEE rankings of three administrative hierarchies within SEZs are provincial administration SEZs, county administration SEZs, and municipality administration SEZs. The SEZs located in energy resource-rich areas and better ecological environmental areas have higher IEE than those in resource-poor areas and ecology fragile areas, respectively. This study can provide reference for policymakers to formulate effective policies for improving the electricity use efficiency of SEZs in China.

Keywords: meta-frontier DEA; special economic zone; industrial electricity efficiency; electricity-saving potential (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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