Journal of Resources and Ecology ›› 2014, Vol. 5 ›› Issue (2): 115-122.doi: 10.5814/j.issn.1674-764x.2014.02.003

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Increased CO2 Emissions from Energy Consumption Based on Three-Level Nested I-O Structural Decomposition Analysis for Beijing

ZHANG Wang1,2, SHEN Yuming1, ZHOU Yueyun2   

  1. 1 College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China;
    2 Global Joint Research Centre for Low Carbon City, Hunan University of Technology, Zhuzhou 412007, China
  • Received:2014-03-25 Revised:2014-04-23 Online:2014-06-18 Published:2014-06-06
  • Contact: SHEN Yuming.
  • Supported by:

    the National Twelfth-Five Year Science and Technology Support Program (2011BAJ07B03-06).

Abstract: The first task in ensuring a reduction in CO2 emissions is to quantitatively measure the factors and their effect size on increasing CO2 emissions due to fossil fuel consumption. An extension of the buying and import-noncompetition economy-energy-CO2 emission input-output model was designed to analyze CO2 emission increases for Beijing from 1997-2007. The increase in CO2 emissions because of energy consumption was broken down into nine kinds of effects including the change in energy consumption intensity and structure, and economic scale expansion. We found that the effect of economic scale expansion such as consumption investment, export and selling were the main factors increasing CO2 emissions. The effect of the change in energy consumption intensity was the dominant factor reducing CO2 emissions. CO2 emissions increased rapidly from 2002. The first increase in carbon emissions was related to the service industry, adjustment in industrial structure and the priority given to tertiary industries. High energy consumption manufacturing was the industrial branch driving CO2 emissions; the main industry driving CO2 emission reductions was the energy industry. The new round of industrialization with ‘high carbon’features meant that CO2 emissions increased rapidly from 2002-2007. The quantity and direction of the nine focal effects varied across industries and different industrial sectors.

Key words: I-O SDA method, energy consumption, carbon dioxide emissions, Beijing