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Regional variation of energy-related industrial CO2 emissions mitigation in China

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  • Ren, Shenggang
  • Fu, Xiang
  • Chen, XiaoHong

Abstract

This paper analyzes the reasons for regional variations in industrial CO2 emissions mitigation. First, regional industrial CO2 emissions during the “11th Five-Year Plan” period are calculated based on the presented method. Then a two-level perfect decomposition method, LMDI, is used to find the nature of the factors that influence the changes in energy-related industrial CO2 emissions in nine economic regions in China. The changes of industrial CO2 emissions are decomposed into energy emission factor effect, energy structure effect, energy intensity effect, industrial structure effect and economic output effect. As the results suggest, rapid growth of industry is the most important factor responsible for the increase in CO2 emissions. The adjustment of both industrial structure and energy structure contributes to the increase of CO2 emissions slightly. Energy consumption per unit GDP is the most important measure of CO2 emissions and the energy emission factor by itself also makes a weeny contribution to CO2 reduction as a result of electricity generation efficiency enhancement.

Suggested Citation

  • Ren, Shenggang & Fu, Xiang & Chen, XiaoHong, 2012. "Regional variation of energy-related industrial CO2 emissions mitigation in China," China Economic Review, Elsevier, vol. 23(4), pages 1134-1145.
  • Handle: RePEc:eee:chieco:v:23:y:2012:i:4:p:1134-1145
    DOI: 10.1016/j.chieco.2012.08.003
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    2. Shao, Shuai & Liu, Jianghua & Geng, Yong & Miao, Zhuang & Yang, Yingchun, 2016. "Uncovering driving factors of carbon emissions from China’s mining sector," Applied Energy, Elsevier, vol. 166(C), pages 220-238.
    3. Chen, Shiyi, 2015. "Environmental pollution emissions, regional productivity growth and ecological economic development in China," China Economic Review, Elsevier, vol. 35(C), pages 171-182.
    4. Yuan, Baolong & Ren, Shenggang & Chen, Xiaohong, 2015. "The effects of urbanization, consumption ratio and consumption structure on residential indirect CO2 emissions in China: A regional comparative analysis," Applied Energy, Elsevier, vol. 140(C), pages 94-106.
    5. Jie Zhang & Zhencheng Xing & Jigan Wang, 2016. "Analysis of CO 2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China," Sustainability, MDPI, Open Access Journal, vol. 8(7), pages 1-15, July.
    6. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    7. repec:spr:anresc:v:59:y:2017:i:1:d:10.1007_s00168-017-0818-5 is not listed on IDEAS
    8. Lin, Boqiang & Moubarak, Mohamed, 2013. "Decomposition analysis: Change of carbon dioxide emissions in the Chinese textile industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 389-396.
    9. Y. Shi & T. Zhao, 2016. "A decomposition analysis of carbon dioxide emissions in the Chinese nonferrous metal industry," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(6), pages 823-838, August.
    10. repec:gam:jsusta:v:10:y:2018:i:2:p:344-:d:129202 is not listed on IDEAS
    11. Shao, Shuai & Yang, Lili & Gan, Chunhui & Cao, Jianhua & Geng, Yong & Guan, Dabo, 2016. "Using an extended LMDI model to explore techno-economic drivers of energy-related industrial CO2 emission changes: A case study for Shanghai (China)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 516-536.

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    Keywords

    CO2 emissions; Mitigation; Industrial development; Factor decomposition;

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