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The rising North-South carbon flows within China from 2012 to 2017

Author

Listed:
  • Li, Xiaoyu
  • Zeng, Zhao
  • Zhang, Zengkai
  • Yao, Ye
  • Du, Huibin

Abstract

The carbon transfer changes triggered by transformation of economic development patterns are less concerned. This study seeks to estimate the carbon implications caused by regional development gaps between the North and South in China. We utilize Multiregional Input-Output (MRIO) model to reveal the new features of embodied carbon emission, and apply structural decomposition analysis (SDA) to reflect the main driving forces behind the changes in implied emissions patterns. The results demonstrate that carbon transfers show a significant trend from the North to the South in 2017. Moreover, electricity and heat power, metal and non-metal industries in poorer northern regions are the important “suppliers” of implied emissions, while construction and service industries in developed southern regions are the main “consumers”. Carbon transfers from the North to the South mainly due to changes in consumption and export. The key industries and driving forces should receive more attention when making carbon reduction policies.

Suggested Citation

  • Li, Xiaoyu & Zeng, Zhao & Zhang, Zengkai & Yao, Ye & Du, Huibin, 2023. "The rising North-South carbon flows within China from 2012 to 2017," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 263-272.
  • Handle: RePEc:eee:streco:v:64:y:2023:i:c:p:263-272
    DOI: 10.1016/j.strueco.2023.01.002
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    as
    1. Yan, Yunfeng & Wang, Ran & Chen, Sida & Wang, Feifan & Zhao, Zhongxiu, 2022. "Mapping carbon footprint along global value chains: A study based on firm heterogeneity in China," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 398-408.
    2. Li, Jia Shuo & Zhou, H.W. & Meng, Jing & Yang, Q. & Chen, B. & Zhang, Y.Y., 2018. "Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city," Applied Energy, Elsevier, vol. 226(C), pages 1076-1086.
    3. Liu, Fangmei & Li, Li & Liang, Gemin & Huang, Liqiao & Gao, Wei, 2022. "National water footprints and embodied environmental consequences of major economic sectors-a case study of Japan," Structural Change and Economic Dynamics, Elsevier, vol. 60(C), pages 30-46.
    4. Duan, Cuncun & Chen, Bin & Feng, Kuishuang & Liu, Zhu & Hayat, Tasawar & Alsaedi, Ahmed & Ahmad, Bashir, 2018. "Interregional carbon flows of China," Applied Energy, Elsevier, vol. 227(C), pages 342-352.
    5. Qi, Wei & Li, Guangdong, 2020. "Residential carbon emission embedded in China's inter-provincial population migration," Energy Policy, Elsevier, vol. 136(C).
    6. Xia, Yan & Fan, Ying & Yang, Cuihong, 2015. "Assessing the impact of foreign content in China’s exports on the carbon outsourcing hypothesis," Applied Energy, Elsevier, vol. 150(C), pages 296-307.
    7. Zhu Liu & Steven J. Davis & Kuishuang Feng & Klaus Hubacek & Sai Liang & Laura Diaz Anadon & Bin Chen & Jingru Liu & Jinyue Yan & Dabo Guan, 2016. "Targeted opportunities to address the climate–trade dilemma in China," Nature Climate Change, Nature, vol. 6(2), pages 201-206, February.
    8. Banerjee, Abhijit & Duflo, Esther & Qian, Nancy, 2020. "On the road: Access to transportation infrastructure and economic growth in China," Journal of Development Economics, Elsevier, vol. 145(C).
    9. Seo, Seongwon & Kim, Junbeum & Yum, Kwok-Keung & McGregor, James, 2015. "Embodied carbon of building products during their supply chains: Case study of aluminium window in Australia," Resources, Conservation & Recycling, Elsevier, vol. 105(PA), pages 160-166.
    10. 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.
    11. Huang, Hongyun & Mo, Renbian & Chen, Xingquan, 2021. "New patterns in China's regional green development: An interval Malmquist–Luenberger productivity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 161-173.
    12. Li, Yiming & Wang, Zhaohua & He, Weijun & Zhao, Yuandong & Xu, Ming & Zhang, Bin, 2021. "Critical transmission sectors for CO2 emission mitigation in supply chains," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    13. María-Ángeles Cadarso & Fabio Monsalve & Guadalupe Arce, 2018. "Emissions burden shifting in global value chains – winners and losers under multi-regional versus bilateral accounting," Economic Systems Research, Taylor & Francis Journals, vol. 30(4), pages 439-461, October.
    14. Zhou, Dequn & Zhou, Xiaoyong & Xu, Qing & Wu, Fei & Wang, Qunwei & Zha, Donglan, 2018. "Regional embodied carbon emissions and their transfer characteristics in China," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 180-193.
    15. Shan, Yuli & Liu, Jianghua & Liu, Zhu & Xu, Xinwanghao & Shao, Shuai & Wang, Peng & Guan, Dabo, 2016. "New provincial CO2 emission inventories in China based on apparent energy consumption data and updated emission factors," Applied Energy, Elsevier, vol. 184(C), pages 742-750.
    16. Chen, Han & Chen, Wenying, 2019. "Potential impacts of coal substitution policy on regional air pollutants and carbon emission reductions for China's building sector during the 13th Five-Year Plan period," Energy Policy, Elsevier, vol. 131(C), pages 281-294.
    17. Zhifu Mi & Jing Meng & Dabo Guan & Yuli Shan & Malin Song & Yi-Ming Wei & Zhu Liu & Klaus Hubacek, 2017. "Chinese CO2 emission flows have reversed since the global financial crisis," Nature Communications, Nature, vol. 8(1), pages 1-10, December.
    18. Li, Y.L. & Chen, B. & Chen, G.Q., 2020. "Carbon network embodied in international trade: Global structural evolution and its policy implications," Energy Policy, Elsevier, vol. 139(C).
    19. Hsu, Bo-Xiang & Chen, Yi-Min & Chen, Li-An (Leann), 2022. "Corporate social responsibility and value added in the supply chain: Model and mechanism," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    20. Bai, Hongtao & Feng, Xiangyu & Hou, Huimin & He, Gang & Dong, Yan & Xu, He, 2018. "Mapping inter-industrial CO2 flows within China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 400-408.
    21. Wang, Qiang & Han, Xinyu, 2021. "Is decoupling embodied carbon emissions from economic output in Sino-US trade possible?," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    22. Chen, B. & Li, J.S. & Wu, X.F. & Han, M.Y. & Zeng, L. & Li, Z. & Chen, G.Q., 2018. "Global energy flows embodied in international trade: A combination of environmentally extended input–output analysis and complex network analysis," Applied Energy, Elsevier, vol. 210(C), pages 98-107.
    23. Huang, Rui & Chen, Guangwu & Lv, Guonian & Malik, Arunima & Shi, Xunpeng & Xie, Xiaotian, 2020. "The effect of technology spillover on CO2 emissions embodied in China-Australia trade," Energy Policy, Elsevier, vol. 144(C).
    24. Fu, Rao & Jin, Gui & Chen, Jinyue & Ye, Yuyao, 2021. "The effects of poverty alleviation investment on carbon emissions in China based on the multiregional input–output model," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    25. Sun, Licheng & Wang, Qunwei & Zhang, Jijian, 2017. "Inter-industrial Carbon Emission Transfers in China: Economic Effect and Optimization Strategy," Ecological Economics, Elsevier, vol. 132(C), pages 55-62.
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