Environmental Science and Pollution Research

, Volume 26, Issue 31, pp 31654–31666 | Cite as

Determining the factors driving energy demand in the Sichuan–Chongqing region: an examination based on DEA-Malmquist approach and spatial characteristics

  • Junbing HuangEmail author
  • Tianchi Yang
  • Jing Jia
Research Article


Since the “China Western Development” plan was initiated in 2000, the Sichuan–Chongqing region has experienced rapid economic growth, especially in the energy segment. However, energy shortage and environmental degradation currently pose a significant hurdle for sustainable development in this region. In the existing literature on factors driving the energy demand, the effect of technological progress on energy demand is discussed as a whole, but few papers have investigated the effect of technological progress from the perspective of its components. Additionally, existing studies have neglected the temporal and spatial aspect of energy demand, thereby generating biased and unreasonable results. Correspondingly, in the current study, the factors driving the per capita energy demand in the Sichuan–Chongqing region over the 2005–2016 period were, to the best of our knowledge, explored for the first time by employing the data envelopment analysis–Malmquist method and spatial dynamic panel model concurrently. The empirical results suggest that an improvement in total factor productivity (TFP) plays a positive but insignificant role in decreasing energy demand. Additionally, there is clear evidence that the effect of TFP on energy demand primarily emerges through spatial spillover effects and their components.


Sichuan–Chongqing region Data envelop analysis Malmquist method Spatial dynamic model 



The authors especially appreciate the three anonymous reviewers and the Editor, Prof. Garrigues, for their insightful and helpful comments and suggestions.

Funding information

This study received financial support from the Fundamental Research Funds for the Central Universities (no. JBK1901032).


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of EconomicsSouthwestern University of Finance and EconomicsChengduChina
  2. 2.Western China Center for Economic ResearchSouthwestern University of Finance and EconomicsChengduChina

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