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Decomposition Analysis of Regional Embodied Carbon Flow and Driving Factors—Taking Shanghai as an Example

Author

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  • Peng Chen

    (State Grid Shanghai Economic Research Institute, Shanghai 200233, China)

  • Hanwen Wang

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China)

  • Mingxing Guo

    (State Grid Shanghai Economic Research Institute, Shanghai 200233, China)

  • Jianjun Wang

    (State Grid Shanghai Economic Research Institute, Shanghai 200233, China)

  • Sinan Cai

    (State Grid Shanghai Economic Research Institute, Shanghai 200233, China)

  • Min Li

    (State Grid Talents Exchange and Service Co., Ltd., Beijing 100053, China)

  • Kaining Sun

    (State Grid Xinjiang Electric Power Co., Ltd., Xinjiang 830002, China)

  • Yukun Wang

    (School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China)

Abstract

Developing localized climate mitigation strategies requires understanding how national consumption drives local carbon dioxide (CO 2 ) emissions from a sectoral perspective. Exploring the carbon footprint considering inter-provincial trade is vitally important; however, few studies have explored the production side of embodied carbon emissions and the drivers of embodied carbon. Here, we use the multi-regional input–output model to calculate the flow of embodied carbon between provincial departments on Shanghai’s production side in 2012, 2015, and 2017. We also establish a decomposition method for the embodied carbon index with small data demand. Our results show that from 2012 to 2017, the outflow increased and went to tertiary industries in neighboring and economically developed provinces. Among them, the activity effect drove the increase in carbon emissions, and the technique effect drove the reduction in embodied carbon. Surprisingly, we found that the low efficiency of the energy utilization of metal products and the unreasonable structure of other services increased embodied carbon emissions from 2012 to 2015. Sectors with high exogenous embodied carbon emissions are critical areas in which collaborative mitigation efforts between Shanghai and downstream provinces drive these emissions. Shanghai should avoid falling into the “low-carbon trap” of developing countries. It should continue to adjust its industrial structure and increase the use of low-carbon energy to achieve carbon reduction.

Suggested Citation

  • Peng Chen & Hanwen Wang & Mingxing Guo & Jianjun Wang & Sinan Cai & Min Li & Kaining Sun & Yukun Wang, 2022. "Decomposition Analysis of Regional Embodied Carbon Flow and Driving Factors—Taking Shanghai as an Example," Sustainability, MDPI, vol. 14(17), pages 1-16, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:11109-:d:907520
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    References listed on IDEAS

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    1. 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.
    2. Yuantao Yang & Shen Qu & Bofeng Cai & Sai Liang & Zhaohua Wang & Jinnan Wang & Ming Xu, 2020. "Mapping global carbon footprint in China," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    3. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.
    4. 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.
    5. Sun, Chuanwang & Ding, Dan & Yang, Mian, 2017. "Estimating the complete CO2 emissions and the carbon intensity in India: From the carbon transfer perspective," Energy Policy, Elsevier, vol. 109(C), pages 418-427.
    6. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    7. Zhong, Zhangqi & Jiang, Lei & Zhou, Peng, 2018. "Transnational transfer of carbon emissions embodied in trade: Characteristics and determinants from a spatial perspective," Energy, Elsevier, vol. 147(C), pages 858-875.
    8. Guo, Ju’e & Zhang, Zengkai & Meng, Lei, 2012. "China’s provincial CO2 emissions embodied in international and interprovincial trade," Energy Policy, Elsevier, vol. 42(C), pages 486-497.
    9. Su, Bin & Ang, B.W., 2014. "Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China," Applied Energy, Elsevier, vol. 114(C), pages 377-384.
    10. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
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