PROGRESS IN GEOGRAPHY ›› 2013, Vol. 32 ›› Issue (4): 514-521.doi: 10.11820/dlkxjz.2013.04.003

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An empirical analysis of the increment of CO2 emission from energy consumption in Beijing: Based on LMDI technique of IDA method

ZHANG Wang1,2, ZHOU Yueyun1   

  1. 1. College of Architecture, Urban and Rural Planning, Hunan University of Technology, Zhuzhou 412007, China;
    2. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
  • Received:2012-08-01 Revised:2012-11-01 Online:2013-04-25 Published:2013-04-25

Abstract: Based on increment decomposition of the Log-Mean Divisia Index(LMDI), an empirical analysis is conducted on the driving factors of the increment of carbon dioxide emissions from energy consumption in 6 industrial sectors and from households in Beijing from 1995 to 2010. The results are shown as following: the determining factor that affects the increase of CO2 emission is the expansion of industrial scales; the dominant factor to reduce CO2 emission is the reduction of energy consumption intensity; the changes of the structure of industry and energy consumption have relatively less contribution to CO2 emission change. With regard to industrial sectors, the industrial carbon emissions have shown the most significant reduction,while carbon emissions in other sectors, such as services, transportation,storage and postal service have clearly increased. The continuing expansion of population scales is the main cause of the increase of households' carbon emissions, followed by per capita energy consumption intensity; carbon emissions coefficients and change in the structure of energy consumption in our daily lives have little contribution to the reduction of carbon emissions. Finally, based on the above analysis, the paper puts forward concise proposals for energy saving and reduction of carbon emissions in the future in Beijing.

Key words: Beijing, carbon dioxide emission, decomposition of households' carbon emissions, decomposition of industrial carbon emissions, energy consumption, LMDI technique