Abstract

China’s growing electricity consumption has become an important factor to improving socio-economic development, as well as aggravating environmental degradation. Based on the provincial level data in China for the entire period and every five years during 2000–2015, this paper used a spatial shift-share analysis (SSS) to detect the driving factors of electricity consumption changes in China, mainly focusing on the spatial spillover effects of electricity consumption which have been ignored by previous literature. Results show that economic growth and industry structure change have increased China’s electricity consumption by 8919 and 746 billion kWh, respectively, while the electricity efficiency improvement has reduced China’s electricity consumption by 5337 billion kWh for the entire period. Among the total decrease in China’s electricity consumption caused by electricity efficiency improvement, about 20% is caused by spatial spillover effects, which cannot be ignored. Moreover, there are great differences in electricity consumption changes’ components across China’s provinces. The results provide a quantitative and better understanding of the determinants of China’s electricity consumption changes, and practical implications for differentiated electricity consumption regulation policies and regional energy cooperation strategies for China, as well as for other similar countries.

Highlights

  • Energy consumption control is one of the major measures to achieve sustainable socio- economic development in China, which is the largest energy consumer and electricity producer in the world [1,2,3,4,5,6,7]

  • It is necessary to use a spatial shift-share analysis (SSS) because spatial spillover effects of electricity intensity may impact the changes in electricity consumption

  • This paper used a spatial shift-share decomposition model to quantify the impact of various components of electricity consumption changes across 30 Chinese provinces from 2000 to 2015

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Summary

Introduction

Energy consumption control is one of the major measures to achieve sustainable socio- economic development in China, which is the largest energy consumer and electricity producer in the world [1,2,3,4,5,6,7]. As a typical kind of secondary energy, electricity ranks second in the share of China’s final energy consumption and closely relates to China’s economic growth [8,9,10,11]. China is striving to pursue electrification and enhance the share of electricity in final energy consumption. Faced with the pressure of environmental pollution, resources limitation and economic development requirements, it is crucial for Chinese energy policy-makers to analyze the changes and the corresponding driving factors of electricity consumption. This analysis can be obtained by using one of the decomposition techniques which divide electricity consumption change into its components

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