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Production sharing, demand spillovers and CO2 emissions : the case of Chinese regions in GVCs

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Listed:
  • Pei, Jiansuo
  • Meng, Bo
  • Wang, Fei
  • Xue, Jinjun

Abstract

This study adopts the perspective of demand spillovers to provide new insights regarding Chinese domestic-regions' production position in global value chains and their associated CO2 emissions. To this end, we constructed a new type of World Input-Output Database in which China's domestic interregional input-output table for 2007 is endogenously embedded. Then, the pattern of China's regional demand spillovers across both domestic regions and countries are revealed by employing this new database. These results were further connected to endowments theory, which help to make sense of the empirical results. It is found that China's regions locate relatively upstream in GVCs, and had CO2 emissions in net exports, which were entirely predicted by the environmental extended HOV model. Our study points to micro policy instruments to combat climate change, for example, the tax reform for energy inputs that helps to change the production pattern thus has impact on trade pattern and so forth.

Suggested Citation

  • Pei, Jiansuo & Meng, Bo & Wang, Fei & Xue, Jinjun, 2015. "Production sharing, demand spillovers and CO2 emissions : the case of Chinese regions in GVCs," IDE Discussion Papers 493, Institute of Developing Economies, Japan External Trade Organization(JETRO).
  • Handle: RePEc:jet:dpaper:dpaper493
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    Cited by:

    1. Denise Imori & Joaquim Jose Martins Guilhoto, 2015. "Tracing Brazilian states’ CO2 emissions in domestic and global trade," Working Papers, Department of Economics 2015_33, University of São Paulo (FEA-USP).
    2. Denise Imori & Joaquim Guilhoto, 2015. "Tracing Brazilian regions? CO2 emissions in domestic and global trade," ERSA conference papers ersa15p527, European Regional Science Association.
    3. Bo Meng & Norihoko Yamano, 2017. "Compilation of a regionally extended inter-country input–output table and its application to global value chain analyses," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 6(1), pages 1-38, December.
    4. Zhang, Zhonghua & Zhao, Yuhuan & Su, Bin & Zhang, Yongfeng & Wang, Song & Liu, Ya & Li, Hao, 2017. "Embodied carbon in China’s foreign trade: An online SCI-E and SSCI based literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 492-510.
    5. Denise Imori & Joaquim Josè Martins Guilhoto & Caio Waisman, 2018. "Regional Development And Greenhouse Gas Emissions: The Case Of The Amazon Region," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 483-512, March.
    6. Zhang, Zengkai & Lin, Jintai, 2018. "From production-based to consumption-based regional carbon inventories: Insight from spatial production fragmentation," Applied Energy, Elsevier, vol. 211(C), pages 549-567.
    7. Zhang, Zengkai & Zhu, Kunfu & Hewings, Geoffrey J.D., 2017. "A multi-regional input–output analysis of the pollution haven hypothesis from the perspective of global production fragmentation," Energy Economics, Elsevier, vol. 64(C), pages 13-23.

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    More about this item

    Keywords

    China; International trade; Input-output tables; Environmental protection; Climatic change; Taxation; Energy tax; Carbon tax; Climate change; CGE model; Energy intensive industry;
    All these keywords.

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods

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