The evolution of venture capital network structure and its effects in promoting the development of agricultural technology enterprises – a comparison between USA and China.

The degree of networking has a significant impact on the performance of venture capital firms. Conversely, social network analysis comprises the identification of furthermost prestigious and influential actors, so using social network analysis methods, this paper analyses the structural characteristics and dynamic evolution of venture capital (VC) networks in China and the USA from 2002 to 2017, with a focus on the node degree distribution, the network structure entropy, the centrality, the cliques, and the k-core. The findings from a panel dataset shows that, relative to the VC network in the USA, China's VC network entities are less integrated and less cooperative. Secondly, the degrees of venture capital firms in China and the USA obey the power law distribution, both with unbalanced distribution nodes and significant differences of the weights among different nodes. Based on the venture capital events this study measures the venture capital networks using important indicators and on the basis of this comparative analysis, optimisation strategies of investment networks against the risk are put forward to promote the development of Chinese agricultural science and technology enterprises. [ABSTRACT FROM AUTHOR]
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