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Characteristics of Venture Capital Network and Its Correlation with Regional Economy: Evidence from China

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  • Yonghong Jin
  • Qi Zhang
  • Lifei Shan
  • Sai-Ping Li

Abstract

Financial networks have been extensively studied as examples of real world complex networks. In this paper, we establish and study the network of venture capital (VC) firms in China. We compute and analyze the statistical properties of the network, including parameters such as degrees, mean lengths of the shortest paths, clustering coefficient and robustness. We further study the topology of the network and find that it has small-world behavior. A multiple linear regression model is introduced to study the relation between network parameters and major regional economic indices in China. From the result of regression, we find that, economic aggregate (including the total GDP, investment, consumption and net export), upgrade of industrial structure, employment and remuneration of a region are all positively correlated with the degree and the clustering coefficient of the VC sub-network of the region, which suggests that the development of the VC industry has substantial effects on regional economy in China.

Suggested Citation

  • Yonghong Jin & Qi Zhang & Lifei Shan & Sai-Ping Li, 2015. "Characteristics of Venture Capital Network and Its Correlation with Regional Economy: Evidence from China," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-20, September.
    • Handle: RePEc:plo:pone00:0137172
    DOI: 10.1371/journal.pone.0137172
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    Cited by:

    1. Ruling Zhang & Killian J. McCarthy & Xiao Wang & Zengrui Tian, 2021. "How Does Network Structure Impact Follow-On Financing through Syndication? Evidence from the Renewable Energy Industry," Sustainability, MDPI, vol. 13(7), pages 1-23, April.
    2. Aleenajitpong, Natdanai & Leemakdej, Arnat, 2021. "Venture Capital Networks in Southeast Asia: Network characteristics and cohesive subgroups," International Review of Financial Analysis, Elsevier, vol. 76(C).
    3. Xinyu Wang & Liang Zhao & Ning Zhang & Liu Feng & Haibo Lin, 2022. "Stability of China's Stock Market: Measure and Forecast by Ricci Curvature on Network," Papers 2204.06692, arXiv.org.

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