Characteristics of Venture Capital Network and Its Correlation with Regional Economy: Evidence from China.
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.
School of Business, East-China University of Science and Technology, Shanghai, 200237, China.
Yonghong
Y
Jin
School of Business, East-China University of Science and Technology, Shanghai, 200237, China.
Qi
Q
Zhang
School of Business, East-China University of Science and Technology, Shanghai, 200237, China.
Lifei
L
Shan
Institute of Physics, Academia Sinica, Taipei, 11529, Taiwan.
Sai-Ping
SP
Li
D000067012:Banking, Personal / Q000706:statistics & numerical data; D002681:China; D005376:Financial Management / Q000706:statistics & numerical data*; D006801:Humans; D007221:Industry / Q000191:economics* / Q000706:statistics & numerical data; D016014:Linear Models; D018803:Models, Economic