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Inter-Regional Spillover of Carbon Emissions and Employment in China: Is It Positive or Negative?

Author

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  • Wenbin Shao

    (School of Management, Hefei University of Technology, Hefei 230009, China
    Research Center of Industrial Transfer and Innovation Development, Hefei University of Technology, Hefei 230009, China)

  • Fangyi Li

    (School of Management, Hefei University of Technology, Hefei 230009, China
    Research Center of Industrial Transfer and Innovation Development, Hefei University of Technology, Hefei 230009, China)

  • Zhaoyang Ye

    (School of Management, Hefei University of Technology, Hefei 230009, China
    Research Center of Industrial Transfer and Innovation Development, Hefei University of Technology, Hefei 230009, China)

  • Zhipeng Tang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Wu Xie

    (School of Management, Hefei University of Technology, Hefei 230009, China
    Research Center of Industrial Transfer and Innovation Development, Hefei University of Technology, Hefei 230009, China)

  • Yu Bai

    (School of Management, Hefei University of Technology, Hefei 230009, China
    Research Center of Industrial Transfer and Innovation Development, Hefei University of Technology, Hefei 230009, China)

  • Shanlin Yang

    (School of Management, Hefei University of Technology, Hefei 230009, China
    Research Center of Industrial Transfer and Innovation Development, Hefei University of Technology, Hefei 230009, China)

Abstract

International and inter-regional trade in China has been promoted, the economic and environmental impacts of which are significant in regional development. In this paper, we analyzed the evolution of inter-regional spillover of carbon emissions and employment in China from 2007 to 2012 with structural decomposition method and multi-regional input-output tables. The index of carbon emission per employee ( ICE ) is designed and compared to indicate positive or negative spillover effects. We find that carbon emissions grow much more rapidly in interior regions than in coastal regions, due to spillover effects and own influences. Spillover effects rarely reduce the ICE of destination regions, but the own influences can decrease it in most regions. Although spillover may contribute to economic development in most regions, it is hardly a driver of efficiency improvement in destination regions. Based on these empirical findings, we put forward specific suggestions to improve the positive spillover effects on different kinds of regions.

Suggested Citation

  • Wenbin Shao & Fangyi Li & Zhaoyang Ye & Zhipeng Tang & Wu Xie & Yu Bai & Shanlin Yang, 2019. "Inter-Regional Spillover of Carbon Emissions and Employment in China: Is It Positive or Negative?," Sustainability, MDPI, vol. 11(13), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:13:p:3622-:d:244817
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    References listed on IDEAS

    as
    1. Meng, Bo & Wang, Jianguo & Andrew, Robbie & Xiao, Hao & Xue, Jinjun & Peters, Glen P., 2017. "Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010," Energy Economics, Elsevier, vol. 63(C), pages 161-173.
    2. Leying Wu & Zhangqi Zhong & Changxin Liu & Zheng Wang, 2017. "Examining PM 2.5 Emissions Embodied in China’s Supply Chain Using a Multiregional Input-Output Analysis," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    3. Liu, Hongguang & Liu, Weidong & Fan, Xiaomei & Zou, Wei, 2015. "Carbon emissions embodied in demand–supply chains in China," Energy Economics, Elsevier, vol. 50(C), pages 294-305.
    4. Xi Xie & Wenjia Cai & Yongkai Jiang & Weihua Zeng, 2015. "Carbon Footprints and Embodied Carbon Flows Analysis for China’s Eight Regions: A New Perspective for Mitigation Solutions," Sustainability, MDPI, vol. 7(8), pages 1-17, July.
    5. Meng, Bo & Xue, Jinjun & Feng, Kuishuang & Guan, Dabo & Fu, Xue, 2013. "China’s inter-regional spillover of carbon emissions and domestic supply chains," Energy Policy, Elsevier, vol. 61(C), pages 1305-1321.
    6. 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.
    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. Min Huang & Yimin Chen & Yuanying Zhang, 2018. "Assessing Carbon Footprint and Inter-Regional Carbon Transfer in China Based on a Multi-Regional Input-Output Model," Sustainability, MDPI, vol. 10(12), pages 1-13, December.
    9. 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.
    10. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.
    11. Martin Hudcovský & Martin Lábaj & Karol Morvay, 2017. "Employment Growth and Labour Elasticity in V4 Countries: Structural Decomposition Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(4), pages 422-437.
    12. Leanne Roncolato & David Kucera, 2014. "Structural drivers of productivity and employment growth: a decomposition analysis for 81 countries," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 38(2), pages 399-424.
    13. Mayer, Jörg, 2012. "Global rebalancing: Effects on trade and employment," Journal of Asian Economics, Elsevier, vol. 23(6), pages 627-642.
    14. Chung, Whan-Sam & Tohno, Susumu & Shim, Sang Yul, 2009. "An estimation of energy and GHG emission intensity caused by energy consumption in Korea: An energy IO approach," Applied Energy, Elsevier, vol. 86(10), pages 1902-1914, October.
    15. 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.
    16. Shichun Xu & Wenwen Zhang & Qinbin Li & Bin Zhao & Shuxiao Wang & Ruyin Long, 2017. "Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    17. Wenqing Pan & Delin Yang & Min Lin, 2012. "Inter‐industry Technology Spillover Effects in China: Evidence from 35 Industrial Sectors," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 20(2), pages 23-40, March.
    18. 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.
    19. Zhang, Moyi & Huang, Xian-Jin, 2012. "Effects of industrial restructuring on carbon reduction: An analysis of Jiangsu Province, China," Energy, Elsevier, vol. 44(1), pages 515-526.
    20. 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.
    21. Martin Hudcovský & Martin Lábaj & Karol Morvay, . "Employment Growth and Labour Elasticity in V4 Countries: Structural Decomposition Analysis," Prague Economic Papers, University of Economics, Prague, vol. 0, pages 1-16.
    22. Rafa Madariaga, 2018. "Factors driving sectoral and occupational employment changes during the Spanish boom (1995–2005)," Economic Systems Research, Taylor & Francis Journals, vol. 30(3), pages 400-421, July.
    23. Rutger Hoekstra & Bernhard Michel & Sangwon Suh, 2016. "The emission cost of international sourcing: using structural decomposition analysis to calculate the contribution of international sourcing to CO 2 -emission growth," Economic Systems Research, Taylor & Francis Journals, vol. 28(2), pages 151-167, June.
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