Journal of Resources and Ecology ›› 2014, Vol. 5 ›› Issue (3): 228-236.DOI: 10.5814/j.issn.1674-764x.2014.03.005

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Decomposition Analysis of Changes in Metropolitan Energy Consumption in China Based on the Logarithmic Mean Divisia Index

LIU Yi1, TENG Fei1,2,3,4, SONG Jinping4, Catherine BAUMONT3   

  1. 1 Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2 University of Chinese Academy of Sciences, Beijing 100049, China;
    3 Laboratoire d'Economie et de Gestion-National Center for Scientific Research, Dijon 21000, France;
    4 School of Geography, Beijing Normal University, Beijing 100083, China
  • Received:2014-03-10 Revised:2014-05-28 Online:2014-09-18 Published:2014-09-10
  • Contact: TENG Fei
  • Supported by:

    CAS Knowledge Innovation Project (ID: KZCX2-YW-03-08c), and National Natural Science Foundation of China (No. 41171444).

Abstract: The energy consumption of China's metropolitan areas has expanded from production areas to other areas such as the service area, and characteristics differ across small and medium-sized cities. Using the Logarithmic Mean Divisia Index (LMDI) decomposition method, we conducted a factor decomposition analysis on changes in energy consumption for 32 Chinese metropolises from 1995-2012 that had a resident population of at least 1 million people in 1995. On the basis of a comprehensive consideration of urban economic growth, population expansion and spatial expansion, energy consumption factors can be decomposed into five indicators: economic scale, energy consumption per unit of output value, energy consumption per capita, population density and energy space support coefficient. We valued the contribution of each factor to metropolises' energy consumption to determine generality and regional differences.

Key words: metropolis, China, energy consumption, LMDI decomposition method