生物医药产业集群生态位分离网络生成及其演化研究

生物医药产业集群生态位分离网络及其优化，以这一相对特殊的集群形式所嵌入的技术、资源、需求、制度等核心因子及其整合优势，在根本上决定着集群整体竞争力及其可持续发展。本研究通过生态位宽度、密度、重叠度有效分离所获取的知识、信息等社会资源和能力，对生物医药产业集群生态位分离网络进行有效界定和测量，分析了其超网络性及演化规则，在此基础上，通过长三角地区样本企业和样本集群的二手数据及问卷调查，并结合计算实验方法，对我国生物医药产业集群生态位分离网络的生成路径、演化动力及其最终的优化整合进行剖析，深入研究知识溢出效应等动力机制在生物医药产业集群生态位分离网络优化整合中的突出作用，创新性提出生物医药产业集群生态位分离网络优化整合的表征及其多维测度，以期能为中国式特定文化情境下生物医药产业集群培育和整合生态位，有效优化生态位分离网络以及提升生物医药产业集群绩效乃至可持续发展提供理论指导、借鉴和实践启示。

As the prime determinants of the competitiveness and sustainable development of biological medicine industrial clusters, niche separation network and its optimization are presented as compact correlation with the enterprises and R&D groups not only one of the enterprises within a cluster. The inside and outside network and their integration embedded in a cluster cause that the enterprises in biological medicine industrial clusters obtain knowledge, information and other social resources by means of the separation and integration of niche width, niche density, and niche overlap degree, as affects the cooperation innovation of biological medicine industrial clusters. The project defines and measures niche separation network of biological medicine industrial clusters and analyses the character of super network and its evolvement regulation; on the basis of this, by virtue of data analysis and questionnaire survey of sample firms and clusters in Yangtze-River Delta area and the adoption of particle swarm optimization(PSO) and other computational experiments methods, explores the formation path, evolutionary dynamics and their optimization integration of niche separation network of biological medicine industrial clusters, analyses the outstanding role of knowledge spillover effect in the optimization integration of niche separation network of biological medicine industrial clusters, and aims at niche cultivation and niche conformity of biological medicine industrial clusters in order to offering theories direction and practice apocalypse for raising the performance and sustainable development of biological medicine industrial clusters.