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Drivers of urban and rural residential energy consumption in China from the perspectives of climate and economic effects

  • Hong guang Nie
  • , René Kemp
  • , Jin hua Xu
  • , Véronique Vasseur
  • , Ying Fan*
  • *Corresponding author for this work
  • Changchun University of Science and Technology
  • CAS - Institutes of Science and Development
  • Maastricht University

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, we investigate the driving forces behind the changes in residential energy consumption (REC) in China's urban and rural areas over the 2001–2012 period. Based on the logarithmic mean Divisia index method, the REC changes are decomposed into seven driving forces, which are climate change, energy price, energy expenditure mix, energy cost share (in total expenditure), expenditure share (in income), per capita income and population effects. According to the results, climate effect due to increasing days with abnormal temperature, energy cost share effect characterized by more expenditure to be paid for energy use, income effect describing constant income growth in the residential sector definitely increase REC in both urban and rural areas. In contrast, energy prices and energy expenditure mix effects negatively contribute to the REC increase, respectively because of the increase in energy prices and the transition from the low-priced energy to high-priced energy. Expenditure share and population effects play opposite roles in urban and rural areas, and the reasons and implications are analysed in depth.

Original languageEnglish
Pages (from-to)2954-2963
Number of pages10
JournalJournal of Cleaner Production
Volume172
DOIs
StatePublished - 13 Aug 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • China
  • Climate effect
  • Index decomposition analysis
  • Residential energy consumption (REC)
  • Urban versus rural areas

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