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Can the Social Network Hinder the Impact of COVID-19 on Economic Uncertainty? New Evidence from China

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  • Chien-Chiang Lee
  • Chuan Zhang
  • Dan Ma

Abstract

This study investigates the impact of the COVID-19 pandemic on economic uncertainty and its spillover network based on social network analysis. The study constructs the inter-provincial Chinese economic uncertainty spillover network using a mixed frequency dataset and the provincial social network using microblog user data. Furthermore, the temporal exponential random graph model is used to analyze the impact of COVID-19 and social network during three periods. The results show that the COVID-19 pandemic significantly affects China’s provincial economic uncertainty and social network significantly hinders economic uncertainty spillover networks. The inhibitory effect of social networks on uncertainty spillover network has regional heterogeneity, which is more significant in provinces severely affected by the pandemic and strictly controlled.

Suggested Citation

  • Chien-Chiang Lee & Chuan Zhang & Dan Ma, 2023. "Can the Social Network Hinder the Impact of COVID-19 on Economic Uncertainty? New Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(15), pages 4088-4106, December.
    • Handle: RePEc:mes:emfitr:v:59:y:2023:i:15:p:4088-4106
    DOI: 10.1080/1540496X.2023.2178844
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    Cited by:

    1. Xu, Shulin & Zhong, Min & Wang, Yan, 2024. "Can innovative industrial clusters enhance urban economic resilience? A quasi-natural experiment based on an innovative pilot policy," Energy Economics, Elsevier, vol. 134(C).
    2. Ma, Dan & Zhu, Yanjin, 2024. "The impact of economic uncertainty on carbon emission: Evidence from China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).

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