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Industrial CO2 emissions in China based on the hypothetical extraction method: Linkage analysis

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  • Wang, Yuan
  • Wang, Wenqin
  • Mao, Guozhu
  • Cai, Hua
  • Zuo, Jian
  • Wang, Lili
  • Zhao, Peng

Abstract

Fossil fuel-related CO2 emissions are regarded as the primary sources of global climate change. Unlike direct CO2 emissions for each sector, CO2 emissions associated with complex linkages among sectors are usually ignored. We integrated the input–output analysis with the hypothetical extraction method to uncover the in-depth characteristics of the inter-sectoral linkages of CO2 emissions. Based on China's 2007 data, this paper compared the output and demand emissions of CO2 among eight blocks. The difference between the demand and output emissions of a block indicates that CO2 is transferred from one block to another. Among the sectors analyzed in this study, the Energy industry block has the greatest CO2 emissions with the Technology industry, Construction and Service blocks as its emission's primary destinations. Low-carbon industries that have lower direct CO2 emissions are deeply anchored to high-carbon ones. If no effective measures are taken to limit final demand emissions or adjust energy structure, shifting to an economy that is low-carbon industries oriented would entail a decrease in CO2 emission intensity per unit GDP but an increase in overall CO2 emissions in absolute terms. The results are discussed in the context of climate-change policy.

Suggested Citation

  • Wang, Yuan & Wang, Wenqin & Mao, Guozhu & Cai, Hua & Zuo, Jian & Wang, Lili & Zhao, Peng, 2013. "Industrial CO2 emissions in China based on the hypothetical extraction method: Linkage analysis," Energy Policy, Elsevier, vol. 62(C), pages 1238-1244.
    • Handle: RePEc:eee:enepol:v:62:y:2013:i:c:p:1238-1244
    DOI: 10.1016/j.enpol.2013.06.045
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    15. Perobelli, Fernando Salgueiro & Faria, Weslem Rodrigues & Vale, Vinicius de Almeida, 2015. "The increase in Brazilian household income and its impact on CO2 emissions: Evidence for 2003 and 2009 from input–output tables," Energy Economics, Elsevier, vol. 52(PA), pages 228-239.
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    19. Hua Liao & Celio Andrade & Julio Lumbreras & Jing Tian, 2018. "CO2 Emissions in Beijing: Sectoral Linkages and Demand Drivers," CEEP-BIT Working Papers 113, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    20. Yue-Jun Zhang & Xiao-Juan Bian & Weiping Tan, 2018. "The linkages of sectoral carbon dioxide emission caused by household consumption in China: evidence from the hypothetical extraction method," Empirical Economics, Springer, vol. 54(4), pages 1743-1775, June.
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    22. Muhandiramge Nimashi Navodana Rodrigo & Srinath Perera & Sepani Senaratne & Xiaohua Jin, 2021. "Review of Supply Chain Based Embodied Carbon Estimating Method: A Case Study Based Analysis," Sustainability, MDPI, vol. 13(16), pages 1-20, August.
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    24. Wang, Linyuan & Zhao, Lin & Mao, Guozhu & Zuo, Jian & Du, Huibin, 2017. "Way to accomplish low carbon development transformation: A bibliometric analysis during 1995–2014," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 57-69.

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