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LMDI decomposition analysis of industry carbon emissions in Henan Province, China: comparison between different 5-year plans

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  • Lei Liu

    (Zhengzhou University
    Zhengzhou University)

  • Shanshan Wang

    (Zhengzhou University
    Zhengzhou University)

  • Ke Wang

    (Zhengzhou University
    Zhengzhou University)

  • Ruiqin Zhang

    (Zhengzhou University
    Zhengzhou University)

  • Xiaoyan Tang

    (Zhengzhou University
    Peking University)

Abstract

Due to the rapid development of industrialization, carbon emission has been increased significantly in China. To comply with international obligation, carbon reduction and energy-saving are becoming more and more important. With Henan Province being the key part of Central Plains Economic Zone, the energy consumption will be further increased. Therefore, how to control and reduce energy use and subsequent combustion emissions is a serious challenge. Based on the calculation of carbon emission in 36 industries of industrial sector during 2001–2012, the main driving factors of changes in carbon emission were analyzed using Logarithmic Mean Divisia Index decomposition model. The results indicate that carbon emissions in industry sector have increased from 52.3 Mt in 2001 to 184.6 Mt. Economic scale plays a decisive role in the industrial carbon emissions, resulting in increased carbon emissions by 265.8 Mt between 2001 and 2012, with two industries of Production and Supply of Electric Power Steam and Water as well as Coal Mining and Washing accounting for 50 % of increased carbon emissions. Both internal structure and energy intensity play disincentive roles, reducing carbon emissions by 73.4 and 61.5 Mt, respectively. Also, the results for carbon reduction indicate that the progress made during the 11th 5-year plan. The reduction in carbon emissions is due to a series of energy-saving and emission reduction measures taken. Energy structure has little effect on carbon emission change due to coal-based structure. Nevertheless, there is a room to further reduce carbon emission by re-adjusting internal structure and reducing energy intensity for the energy-intensive industries following the internationally advanced level. The use of renewable energy should further enhance the effect of energy structure in reducing carbon emissions. The results of the present study can assist decision makers in proposing new policies and providing strategies for effective reducing industrial carbon emissions.

Suggested Citation

  • Lei Liu & Shanshan Wang & Ke Wang & Ruiqin Zhang & Xiaoyan Tang, 2016. "LMDI decomposition analysis of industry carbon emissions in Henan Province, China: comparison between different 5-year plans," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(2), pages 997-1014, January.
    • Handle: RePEc:spr:nathaz:v:80:y:2016:i:2:d:10.1007_s11069-015-2009-y
    DOI: 10.1007/s11069-015-2009-y
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    as
    1. Jung, Seok & An, Kyoung-Jin & Dodbiba, Gjergj & Fujita, Toyohisa, 2012. "Regional energy-related carbon emission characteristics and potential mitigation in eco-industrial parks in South Korea: Logarithmic mean Divisia index analysis based on the Kaya identity," Energy, Elsevier, vol. 46(1), pages 231-241.
    2. Wang, Can & Chen, Jining & Zou, Ji, 2005. "Decomposition of energy-related CO2 emission in China: 1957–2000," Energy, Elsevier, vol. 30(1), pages 73-83.
    3. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    4. Hasanbeigi, Ali & de la Rue du Can, Stephane & Sathaye, Jayant, 2012. "Analysis and decomposition of the energy intensity of California industries," Energy Policy, Elsevier, vol. 46(C), pages 234-245.
    5. Jiang, Lei & Folmer, Henk & Ji, Minhe, 2014. "The drivers of energy intensity in China: A spatial panel data approach," China Economic Review, Elsevier, vol. 31(C), pages 351-360.
    6. Zhao, Min & Tan, Lirong & Zhang, Weiguo & Ji, Minhe & Liu, Yuan & Yu, Lizhong, 2010. "Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method," Energy, Elsevier, vol. 35(6), pages 2505-2510.
    7. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    8. Kang, Jidong & Zhao, Tao & Liu, Nan & Zhang, Xin & Xu, Xianshuo & Lin, Tao, 2014. "A multi-sectoral decomposition analysis of city-level greenhouse gas emissions: Case study of Tianjin, China," Energy, Elsevier, vol. 68(C), pages 562-571.
    9. B. W. Ang & Ki-Hong Choi, 1997. "Decomposition of Aggregate Energy and Gas Emission Intensities for Industry: A Refined Divisia Index Method," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 59-73.
    10. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    11. Ma, Chunbo & Stern, David I., 2008. "China's changing energy intensity trend: A decomposition analysis," Energy Economics, Elsevier, vol. 30(3), pages 1037-1053, May.
    12. Xu, Jin-Hua & Fan, Ying & Yu, Song-Min, 2014. "Energy conservation and CO2 emission reduction in China's 11th Five-Year Plan: A performance evaluation," Energy Economics, Elsevier, vol. 46(C), pages 348-359.
    13. Liu, Lan-Cui & Fan, Ying & Wu, Gang & Wei, Yi-Ming, 2007. "Using LMDI method to analyze the change of China's industrial CO2 emissions from final fuel use: An empirical analysis," Energy Policy, Elsevier, vol. 35(11), pages 5892-5900, November.
    14. Cornillie, Jan & Fankhauser, Samuel, 2004. "The energy intensity of transition countries," Energy Economics, Elsevier, vol. 26(3), pages 283-295, May.
    15. Ang, B.W. & Liu, Na, 2007. "Handling zero values in the logarithmic mean Divisia index decomposition approach," Energy Policy, Elsevier, vol. 35(1), pages 238-246, January.
    16. Wood, Richard & Lenzen, Manfred, 2006. "Zero-value problems of the logarithmic mean divisia index decomposition method," Energy Policy, Elsevier, vol. 34(12), pages 1326-1331, August.
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