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Average propagation length analysis for carbon emissions in China


  • Fang, Delin
  • Duan, Cuncun
  • Chen, Bin


It is crucial to investigate the roles and positions of various nodes along the whole production chain regarding carbon emission mitigation for rational and equitable decarbonization policies. This study probes into the coupling mechanism between carbon emissions and added values among different sectors of 30 regions in China with average propagation length analysis. Average propagation length index is employed to evaluate the connection length of trade linkages between regions and sectors within input–output framework in the production chain. The results reflect the unbalance of industrial chain's value distributions and the carbon emission distributions as well. From regional perspective, the developed regions like Beijing and Shanghai outsource the carbon emissions embodied in primary products via the production chain, while such carbon-intensive products generating in surround regions achieve lower portion of added value gains. Along the whole production chains, most of the added value benefits are obtained from the trade, finance, and real estate sectors in developed regions, which hardly generate carbon emissions. From sectoral view, the sectors like construction and real estate industry have specific roles in context of the whole production chains, whose upper production streams are complex and correlated with carbon-intensive sectors like metal, nonmetal, and equipment production. It can be concluded that the combination of the size of the linkages and the distance between sectors may visualize the added value and emission structure between each sector and region along the production chains.

Suggested Citation

  • Fang, Delin & Duan, Cuncun & Chen, Bin, 2020. "Average propagation length analysis for carbon emissions in China," Applied Energy, Elsevier, vol. 275(C).
  • Handle: RePEc:eee:appene:v:275:y:2020:i:c:s0306261920308989
    DOI: 10.1016/j.apenergy.2020.115386

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    References listed on IDEAS

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    2. De Backer, Koen & Miroudot, Sébastien, 2014. "Mapping global value chains," Libros de la CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 37176.
    3. Fang, Delin & Chen, Bin, 2019. "Information-based ecological network analysis for carbon emissions," Applied Energy, Elsevier, vol. 238(C), pages 45-53.
    4. Kuishuang Feng & Yim Ling Siu & Dabo Guan & Klaus Hubacek, 2012. "Analyzing Drivers of Regional Carbon Dioxide Emissions for China," Journal of Industrial Ecology, Yale University, vol. 16(4), pages 600-611, August.
    5. Erik Dietzenbacher & Isidoro Romero, 2007. "Production Chains in an Interregional Framework: Identification by Means of Average Propagation Lengths," International Regional Science Review, , vol. 30(4), pages 362-383, October.
    6. Erik Dietzenbacher & Umed Temurshoev, 2008. "Ownership relations in the presence of cross-shareholding," Journal of Economics, Springer, vol. 95(3), pages 189-212, December.
    7. Shao, Ling & Li, Yuan & Feng, Kuishuang & Meng, Jing & Shan, Yuli & Guan, Dabo, 2018. "Carbon emission imbalances and the structural paths of Chinese regions," Applied Energy, Elsevier, vol. 215(C), pages 396-404.
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