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The Inter-Regional Embodied Carbon Flow Pattern in China Based on Carbon Peaking Stress

Author

Listed:
  • Qianqian Xiao

    (Business School, Hohai University, Nanjing 211100, China)

  • Zi’ang Chu

    (Business School, Hohai University, Nanjing 211100, China)

  • Changfeng Shi

    (Business School, Hohai University, Nanjing 211100, China)

Abstract

Embodied carbon flows among regions have led to unfair carbon emission responsibility accounting based on production. However, the heterogeneity of carbon peaking stress between regions is significantly neglected for those embodied carbon flows. Incorporating the carbon peaking stress into the embodied carbon flows can more clearly show what causes the carbon peaking stress and which carbon flow paths are more critical. In this study, the decoupling index of carbon emissions and economy development was applied to characterize the carbon peaking stress in each region, and the environmental extended multi-regional input–output model was applied to re-evaluate the criticality of regional embodied carbon flows. The results showed that the carbon peaking stress in China improved from 2007 to 2012, but the rebound of carbon peaking stress in 2017 made most regions reverse the previous downward trend. The stress to reach carbon peaks varies considerably from region to region, and the stress in the northwest is much higher than that in developed eastern China. Considering the heterogeneity of carbon peaking stress, additional concerns should be given to the net embodied carbon output in the northwestern, northern, and central regions, which can help avoid the dilemma between outsourcing embodied carbon and reducing carbon emissions from production. The policy to reduce emissions should be implemented in all regions that benefit from the net embodied carbon output of the northern and northwestern regions, where the carbon peaking stress is higher. The focus should be on the actual improvement of the carbon peaking stress, not just on the transfer of stress. The increasing urgency of achieving carbon peaking targets and unequal stress for regional peaking emissions calls for differentiated regional mitigation measures to help the Chinese government scientifically and in an orderly manner promote the overall and local carbon peaking work.

Suggested Citation

  • Qianqian Xiao & Zi’ang Chu & Changfeng Shi, 2024. "The Inter-Regional Embodied Carbon Flow Pattern in China Based on Carbon Peaking Stress," Energies, MDPI, vol. 17(12), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:12:p:2829-:d:1411367
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    References listed on IDEAS

    as
    1. Zhifu Mi & Jiali Zheng & Jing Meng & Jiamin Ou & Klaus Hubacek & Zhu Liu & D’Maris Coffman & Nicholas Stern & Sai Liang & Yi-Ming Wei, 2020. "Economic development and converging household carbon footprints in China," Nature Sustainability, Nature, vol. 3(7), pages 529-537, July.
    2. Zhu, Dandan & Chen, Ke & Sun, Chuanwang & Lyu, Chaofeng, 2023. "Does environmental pollution liability insurance promote environmental performance? Firm-level evidence from quasi-natural experiment in China," Energy Economics, Elsevier, vol. 118(C).
    3. 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.
    4. Cathy Xin Cui & Nick Hanley & Peter McGregor & Kim Swales & Karen Turner & Ya Ping Yin, 2017. "Impacts of regional productivity growth, decoupling and pollution leakage," Regional Studies, Taylor & Francis Journals, vol. 51(9), pages 1324-1335, September.
    5. Li, Rui & Liu, Qiqi & Cai, Weiguang & Liu, Yuan & Yu, Yanhui & Zhang, Yihao, 2023. "Echelon peaking path of China's provincial building carbon emissions: Considering peak and time constraints," Energy, Elsevier, vol. 271(C).
    6. Fang, Guochang & Huang, Meng & Zhang, Wenbin & Tian, Lixin, 2024. "Exploring global embodied carbon emissions transfer network—An analysis based on national responsibility," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    7. Xie, Pinjie & Gong, Ningyu & Sun, Feihu & Li, Pin & Pan, Xianyou, 2023. "What factors contribute to the extent of decoupling economic growth and energy carbon emissions in China?," Energy Policy, Elsevier, vol. 173(C).
    8. Liu, Fengqi & Kang, Yuxin & Guo, Kun, 2022. "Is electricity consumption of Chinese counties decoupled from carbon emissions? A study based on Tapio decoupling index," Energy, Elsevier, vol. 251(C).
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