Industrial clusters, networks and resilience to the Covid-19 shock in China

Ruochen Dai, Dilip Mookherjee, Yingyue Quan and Xiaobo Zhang

Journal of Economic Behavior & Organization, 2021, vol. 183, issue C, 433-455

Abstract: We examine how Covid-19 resilience of Chinese firms varied with a cluster index (measuring spatial agglomeration of firms in related industries) at the county level. Two data sources are used: entry flows of newly registered firms in the entire country, and an entrepreneur sample survey regarding operation of existing firms. Both show greater resilience in counties with a higher cluster index, after controlling for industry dummies and local infection rates, besides county and time dummies in the entry data. Reliance of clusters on high density informal entrepreneur hometown networks and closer proximity to suppliers and customers help explain these findings.

Keywords: Clusters; Covid-19; China; Firms; Social networks (search for similar items in EconPapers)
JEL-codes: D31 I3 J12 J16 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (17)

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Related works:
Working Paper: INDUSTRIAL CLUSTERS, NETWORKS AND RESILIENCE TO THE COVID-19 SHOCK IN CHINA (2020)
Working Paper: Industrial Clusters, Networks and Resilience to the Covid-19 Shock in China (2020)
Working Paper: Industrial Clusters, Networks and Resilience to the Covid-19 Shock in China (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jeborg:v:183:y:2021:i:c:p:433-455

DOI: 10.1016/j.jebo.2021.01.017

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