Abstract

In the shadow of the energy crisis and environmental degradation, energy intensity is a hot topic in academic circles in China. The energy intensity distribution map of China indicates the fairly large geographic disparities globally and clustering locally in some areas, ascending from the southeast regions to the northwest provinces. Although energy intensity and its determinants vary from place to place, few studies have been made from the spatial perspective. Determinates of energy intensity and spatial spillover effects should be taken into consideration. Controlling for seven exogenous variables (per capita GDP; the share of the secondary sector; foreign direct investment; international trade, energy price, the share of coal, and transport sector) and their spatial lags, we apply a spatial Durbin model to test for spatial spillover effects among energy intensity and exogenous variables from a panel of 29 Chinese provinces over 1998 to 2014. We find that per capita GDP has an insignificant and negative direct and indirect effect, but has a significant and negative total effect on energy intensity. The share of the secondary sector and the share of coal are found to have significant and positive direct and indirect effects on energy intensity. Foreign Direct Investment (FDI) and Trade have significant and negative direct and indirect effects on energy intensity. The direct effect of energy price is found to be significantly positive while the indirect effect is negative. Only the direct effect of the Transport variable is significant and positive. The results of this study offer some theoretical evidence for differential localized policy making related to reduction in energy intensity.

Highlights

  • The Chinese economy has been experiencing rapid growth since 1978, when China started its nationwide economic reforms and opening up policy

  • In its 11th Five-Year Plan (2006–2010) [3], for the first time China has carried out a mandatory domestic target, which aimed to achieve energy intensity reduction by 20% from the 2005 benchmark [4]

  • This paper concludes with a discussion of determinants of energy intensity

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Summary

Introduction

The Chinese economy has been experiencing rapid growth since 1978, when China started its nationwide economic reforms and opening up policy This spectacular economic growth is accompanied by unprecedented energy consumption. In 2009, China became the biggest energy consumer all over the world Behind this figure is a series of energy-related economic and environmental problems [1]. In the 12th Five-Year Plan (2011–2015) [5], the goal was given even greater emphasis by setting the target to a 16% further reduction. This national priority is further signified by the fact that energy efficiency improvement has been listed as one of the major performance criteria to evaluate provincial local governments. It is crucial to explore how relevant factors may affect the energy intensity in China

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