摘要
产业集群演化方向是产业集群研究面临的主要问题.利用产业集群内部交易次数这一概念,分析了集群内部交易次数与交易效率(交易费用)之间的显著相关性,提出了集群内部交易次数最终相对固定不变(稳定值)且具有Logistic曲线特征,指出了稳定的内部交易次数是集群分形的可能性之一.合肥岗集江淮汽配园企业数量的数据证实了产业集群内部交易次数的变化具有Logistic特性.搜集产业集群内部交易次数并使用Logistic曲线估计内部交易次数的稳定值可以判断出集群演化方向.
Industrial cluster evolution is the main problem facing the research of industrial cluster. By using the concept of industrial cluster internal transaction times, it is found that there is a significant correlation between industrial cluster internal transaction times and transaction efficiency （transaction cost）. The industrial cluster internal transaction times are relatively fixed and close to a stable value with the characteristics of a Logistic curve. The stability of the internal transaction times are one of the possibilities of industrial cluster fractal. The enterprise data of auto-parts park in Gangji Hefei confirm the change of industrial cluster inter- nal transaction times with the characteristics of a Logistic curve. By collecting the internal transaction times and estimating the stability of the internal transaction times by virtue of the Logistic curve, we can determine the orientation of the cluster evolution.
出处
《绍兴文理学院学报》
2017年第7期63-67,共5页
Journal of Shaoxing University
基金
安徽省教育厅人文社科重点研究项目"基于超边际分析的新型农业产业集群发展机理
规模边界与演变方向研究"(SK2016A0763)
