Analysis of Factors Influencing Energy Efficiency Based on Spatial Quantile Autoregression: Evidence from the Panel Data in China

Jinping Zhang, Qiuru Lu, Li Guan and Xiaoying Wang
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Jinping Zhang: School of Mathematics and Physics, North China Electric Power University, Beijing 102206, China
Qiuru Lu: School of Mathematics and Physics, North China Electric Power University, Beijing 102206, China
Li Guan: College of Applied Sciences, Beijing University of Technology, Beijing 100124, China
Xiaoying Wang: School of Mathematics and Physics, North China Electric Power University, Beijing 102206, China

Energies, 2021, vol. 14, issue 2, 1-17

Abstract: This research mainly studies the factors influencing the efficiency of energy utilization. Firstly, by calculating M o r a n ’ s I and local indicators of spatial association (LISA) of energy efficiency of regions in mainland China, we found that energy efficiency shows obvious spatial autocorrelation and spatial clustering phenomena. Secondly, we established the spatial quantile autoregression (SQAR) model, in which the energy efficiency is the response variable with seven influence factors. The seven factors include industrial structure, resource endowment, level of economic development etc. Based on the provincial panel data (1998–2016) of mainland China (data source: China Statistical Yearbook, Statistical Yearbook of provinces), the findings indicate that level of economic development and industrial structure have a significant role in promoting energy efficient. Resource endowment, government intervention and energy efficiency show a negative correlation. However, the negative effect of government intervention is weakened with the increase of energy efficiency. Lastly, we compare the results of SQAR with that of ordinary spatial autoregression (SAR). The empirical result shows that the SQAR model is superior to SAR model in influencing factors analysis of energy efficiency.

Keywords: Moran’s I; energy efficiency; spatial quantile autoregression (SQAR); instrumental variable (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
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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