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Do not put eggs in one basket: related variety and export resilience in the post-crisis era
[Exports and financial shocks]

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  • Canfei He
  • Tao Chen
  • Shengjun Zhu

Abstract

Region’s capability to retain economic growth and resist external shocks is important, particularly in the increasingly globalized economy with a plethora of political and economic uncertainties. This paper uses Chinese custom data to investigate the ways in which regional export resilience has been affected by related variety in the post-crisis era. The hypothesis is that regions with a large number of related industries are more vulnerable to external shocks due to the risk-spreading effect, where the negative effects of external shocks on certain industries may be easily transferred to other related industries. Empirical results support our hypothesis that cities with many related industries are often less economically resilient to external shocks and tend to face greater economic decline in the post-crisis era. We also find that industries with high levels of related variety are also vulnerable to external demand shocks.

Suggested Citation

  • Canfei He & Tao Chen & Shengjun Zhu, 2021. "Do not put eggs in one basket: related variety and export resilience in the post-crisis era [Exports and financial shocks]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(6), pages 1655-1676.
  • Handle: RePEc:oup:indcch:v:30:y:2021:i:6:p:1655-1676.
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    File URL: http://hdl.handle.net/10.1093/icc/dtab044
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    Cited by:

    1. Huiwen Gong & Robert Hassink & Cassandra C Wang, 2022. "Strategic coupling and institutional innovation in times of upheavals: the industrial chain chief model in Zhejiang, China [Institutional change in economic geography]," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 15(2), pages 279-303.
    2. Huiwen Gong & Robert Hassink & Cassandra Wang, 2021. "Strategic coupling and regional resilience in times of uncertainty: the industrial chain chief model in Zhejiang, China," PEGIS geo-disc-2021_06, Institute for Economic Geography and GIScience, Department of Socioeconomics, Vienna University of Economics and Business.

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