A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model

Jin Zhu, Dequn Zhou, Zhengning Pu and Huaping Sun
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Jin Zhu: College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Dequn Zhou: College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
Zhengning Pu: School of Economics and Management, Southeast University, Nanjing 211102, China
Huaping Sun: Institute of Industrial Economics, Jiangsu University, Zhenjiang 212013, China

Sustainability, 2019, vol. 11, issue 3, 1-18

Abstract: With the deterioration caused by environmental pollution, studies on the low-carbon economy have received more attention. As far as we know, electricity production accounts for a large portion of total carbon emissions. Therefore, based on panel data from 2005 to 2014, we used the non-radial directional distance function model based on the data envelope analysis (DEA) to evaluate the static electricity product efficiency of various provinces in China. Further, the global Malmquist index was introduced to analyze the main factors. The relationship between the environmental policy stringency and the regional power production efficiency was also investigated. Static results show that China’s regional power production efficiency has a significant difference between coastal developed and inland areas. Dynamic evaluation further proved that the difference is mainly due to technological change. Finally, regression results show that technological change is the only factor directly affecting regional environmental policy stringency.

Keywords: Electricity production efficiency; Non-radial directional distance function; Global Malmquist index; Environmental policy stringency (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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