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本文以广东省科技型中小企业为样本,分析了中小企业社会子网络关系强度与信贷可得性之间的关系。本文将社会网络分为政企网络、银企网络、企业网络、产学研网络、人企网络和中介网络,采用Logit模型进行回归分析,得到以下结论:银企网络和人企网络关系强度能有效促进信贷可得性;政企网络、企业网络和中介网络关系强度不能有效促进信贷的获得;产学研网络关系强度越大,信贷可得性越小。银企网络和人企网络与中小企业信贷资源获取能力之间的关系可以被强关系假设解释,产学研网络与信贷可得性的关系可被弱关系假设解释,而其他子网络不支持强关系和弱关系的假设解释。
In this paper, we take Guangdong Province science and technology SMEs as a sample to analyze the relationship between SMEs social sub-network relationship strength and credit availability. In this paper, the social network is divided into government-enterprise network, bank-enterprise network, enterprise network, industry-university-research network, enterprise network and intermediary network. Logistic regression model is used to get the following conclusions: Promote the availability of credit; the strength of the relationship between government and enterprise networks, enterprise networks and intermediary networks can not effectively promote the access to credit; the stronger the relationship between production, study and research networks, the less credit availability. The relationship between bank-enterprise networks and private-owned networks and SMEs’ access to credit resources can be explained by the strong relationship hypothesis. The relationship between industry-university-research networks and credit availability can be explained by the weak relation hypothesis, while other sub-networks do not support strong relationships Hypothetical explanation of weak relations.