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Virtual Carbon Flow in China’s Capital Economic Circle: A Multi-Regional Input–Output Approach

Author

Listed:
  • Chong Yin

    (Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China)

  • Yue Liu

    (Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China)

  • Yingxin Cui

    (Institute of Science and Technology for Development of Shandong, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250014, China)

Abstract

The Capital Economic Circle (CEC) is the area with the largest economic aggregate in northern China and has a strong status in driving the economic development of China. However, the industrial structure dominated by high energy consuming industries leads to a large number of carbon dioxide emissions, and the imbalance between economic development and carbon emissions in CEC is serious; therefore, it is necessary to explore how to solve the carbon imbalance problem of the CEC by relying on interregional cooperation. Based on China’s multi-regional input–output tables of 2012, 2015 and 2017, this paper proposes the CEC carbon-extended, multi-regional input–output model to measure virtual carbon flow and analyze how the industrial structure leads to the imbalance of carbon flow distribution in CEC. Indicators such as direct carbon emission coefficients, complete carbon emission coefficients and carbon emissions pull coefficients of the industrial sectors in CEC are calculated and the physical carbon emission and virtual carbon flows among the industrial sectors and the regions are evaluated. The results show that there are potential constraints from the uncoordinated configuration of industrial innovation chains among the CEC, and the “carbon imbalance” of CEC is mainly reflected in the backward production technology of Hebei and its inefficient connection with the industrial innovation chain of Beijing and Tianjin. It is suggested that policymakers should promote the low-carbon production system and strengthen green energy development and utilization to enhance green development in CEC. In future research, we should pay attention to the updating method of the input–output table and the development of carbon circular networks. This study has implications for some areas of China and developing countries in Asia, which also have an imbalance between industrial economy development and carbon emissions, and a similarity in space structure and industry layout with CEC.

Suggested Citation

  • Chong Yin & Yue Liu & Yingxin Cui, 2022. "Virtual Carbon Flow in China’s Capital Economic Circle: A Multi-Regional Input–Output Approach," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11782-:d:919167
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    References listed on IDEAS

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    1. Sun, Huaping & Edziah, Bless Kofi & Kporsu, Anthony Kwaku & Sarkodie, Samuel Asumadu & Taghizadeh-Hesary, Farhad, 2021. "Energy efficiency: The role of technological innovation and knowledge spillover," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Wu Xiaoman & Abdul Majeed & Dinara G. Vasbieva & Claire Emilienne Wati Yameogo & Nazim Hussain, 2021. "Natural resources abundance, economic globalization, and carbon emissions: Advancing sustainable development agenda," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(5), pages 1037-1048, September.
    3. Rosa Duarte & Vicente Pinilla & Ana Serrano, 2018. "Factors driving embodied carbon in international trade: a multiregional input–output gravity model," Economic Systems Research, Taylor & Francis Journals, vol. 30(4), pages 545-566, October.
    4. Xu, Xiaomin & Niu, Dongxiao & Xiao, Bowen & Guo, Xiaodan & Zhang, Lihui & Wang, Keke, 2020. "Policy analysis for grid parity of wind power generation in China," Energy Policy, Elsevier, vol. 138(C).
    5. 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.
    6. Majeed, Abdul & Wang, Lijun & Zhang, Xiaohui & Muniba, & Kirikkaleli, Dervis, 2021. "Modeling the dynamic links among natural resources, economic globalization, disaggregated energy consumption, and environmental quality: Fresh evidence from GCC economies," Resources Policy, Elsevier, vol. 73(C).
    7. Brizga, Janis & Feng, Kuishuang & Hubacek, Klaus, 2017. "Household carbon footprints in the Baltic States: A global multi-regional input–output analysis from 1995 to 2011," Applied Energy, Elsevier, vol. 189(C), pages 780-788.
    8. Anne Margaret Lee, 2005. "A study in time," Nature, Nature, vol. 436(7049), pages 438-438, July.
    9. Hehua Zhao & Hongwen Chen & Lei He, 2022. "Embodied Carbon Emissions and Regional Transfer Characteristics—Evidence from China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
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