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Matching degree of embodied carbon trade and value-added trade among Chinese provinces (regions)

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  • Xia Li
  • Fengying Lu
  • Guangyao Deng

Abstract

This paper constructs a matching index model to research the matching degree of embodied carbon trade and value-added trade among eight regions and 31 provinces in China in 2012 and 2015. The study finds that (1) At the regional level, a mismatch is shown between embodied carbon trade and value-added trade among regions, for example, in 2015, the northwest region has output embodied carbon to the north coast, while input the value-added trades from the north coast. (2) At the provincial level, a mismatch is displayed between embodied carbon transaction and value-added trade, for example, Beijing had a net shift of embodied carbon from Xinjiang in 2015, but Xinjiang had a net transfer of added value from Beijing. Therefore, the Chinese government needs to establish an ecological compensation mechanism to improve the mismatch between embodied carbon trade and value-added trade among Chinese regions (provinces).

Suggested Citation

  • Xia Li & Fengying Lu & Guangyao Deng, 2023. "Matching degree of embodied carbon trade and value-added trade among Chinese provinces (regions)," PLOS ONE, Public Library of Science, vol. 18(2), pages 1-18, February.
    • Handle: RePEc:plo:pone00:0277128
    DOI: 10.1371/journal.pone.0277128
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    References listed on IDEAS

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    1. Robert Koopman & Zhi Wang & Shang-Jin Wei, 2014. "Tracing Value-Added and Double Counting in Gross Exports," American Economic Review, American Economic Association, vol. 104(2), pages 459-494, February.
    2. Wang, Zhaohua & Li, Yiming & Cai, Hailin & Yang, Yuantao & Wang, Bo, 2019. "Regional difference and drivers in China's carbon emissions embodied in internal trade," Energy Economics, Elsevier, vol. 83(C), pages 217-228.
    3. Yue Liu & Ying Qu & Zhen Lei & Wenhua Wang, 2020. "Multi-sector reduction potential of embodied carbon emissions in China: a case study of Liaoning province," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5585-5602, August.
    4. Su, Bin & Ang, B.W. & Sun, Ya-Fang, 2022. "Input-output analysis of embodied emissions: Impacts of imports data treatment on emission drivers," Energy Economics, Elsevier, vol. 107(C).
    5. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    6. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    7. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
    8. Meng, Bo & Peters, Glen P. & Wang, Zhi & Li, Meng, 2018. "Tracing CO2 emissions in global value chains," Energy Economics, Elsevier, vol. 73(C), pages 24-42.
    9. Deng, Guangyao & Xu, Yan, 2017. "Accounting and structure decomposition analysis of embodied carbon trade: A global perspective," Energy, Elsevier, vol. 137(C), pages 140-151.
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