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Global Value Chains and Spatial Spillovers of Economic Growth—Based on the Perspective of Participation and Status Index in Global Value Chain

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  • Keping Men

    (Center for Innovation Management Research of Xinjiang, Xinjiang University, Urumqi 830046, China
    School of Economics and Management, Xinjiang University, Urumqi 830046, China)

  • Hui Sun

    (Center for Innovation Management Research of Xinjiang, Xinjiang University, Urumqi 830046, China
    School of Economics and Management, Xinjiang University, Urumqi 830046, China)

  • Minglong Kou

    (Center for Innovation Management Research of Xinjiang, Xinjiang University, Urumqi 830046, China
    School of Economics and Management, Xinjiang University, Urumqi 830046, China)

Abstract

This paper mainly analyzed the spillover effect of GVC participation on economic growth and deconstructed it from the spatial perspective. It used the spatial Durbin model to study the impact of GVC participation on economic growth in 42 countries through empirical analysis, using the World Bank, WIOD, UIBE and other databases. The results are as follows: the improvement of a country’s GVC participation can effectively drive the development of its own economy and have a significant spillover effect on the economic development of its neighboring countries; The improvement of a country’s GVC status not only has a great promotion effect on its own economic development, but also has a relatively obvious promotion effect on the economic development of neighboring countries.

Suggested Citation

  • Keping Men & Hui Sun & Minglong Kou, 2022. "Global Value Chains and Spatial Spillovers of Economic Growth—Based on the Perspective of Participation and Status Index in Global Value Chain," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15518-:d:980420
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    Cited by:

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    2. Can Li & Qi He & Han Ji & Shengguo Yu & Jiao Wang, 2023. "Reexamining the Impact of Global Value Chain Participation on Regional Economic Growth: New Evidence Based on a Nonlinear Model and Spatial Spillover Effects with Panel Data from Chinese Cities," Sustainability, MDPI, vol. 15(18), pages 1-31, September.

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