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作 者:张华 孙鹏[1,2] Zhang Hua;Sun Peng(School of Tourism & Research Institute of Human Geography,Xi ’ an International Studies University,Xi ’ an 710128,China;Shaanxi Tourism Research Institute,Xi ’ an International Studies University,Xi ’ an 710128,China)
机构地区:[1]西安外国语大学旅游学院·人文地理研究所,陕西西安710128 [2]西安外国语大学陕西旅游研究院,陕西西安710128
出 处:《南京师大学报(自然科学版)》2022年第2期34-43,共10页Journal of Nanjing Normal University(Natural Science Edition)
基 金:国家自然科学基金青年基金资助项目(42001132);陕西省软科学研究计划项目(2021KRM152);西安外国语大学研究生科研基金项目(SYJS201828).
摘 要:基于Boschma提出的邻近性理论,以陕西泾阳茯茶产业为例,结合实地调研数据,利用ArcGIS空间分析法、IBM SPSS22.0描述性统计分析法、社会网络分析法并构建多元线性回归模型探究陕西泾阳茯茶产业集群的邻近性特征及邻近性对产业集群创新发展的影响.研究结果表明:社会邻近性对陕西泾阳茯茶产业集群创新的影响最为显著,其对促进集群内创新氛围形成、提高新知识及新技术在产业集群内部的扩散流通起着明显的正向影响作用;认知和制度邻近性对陕西泾阳茯茶产业集群的创新有一定正向影响,其影响效果高于地理邻近性,但弱于社会邻近性;而地理邻近性对陕西泾阳茯茶产业集群创新的影响不显著,过度的地理邻近还会导致企业出现一定程度的“路径锁定”,对产业集群创新发展产生负面影响.Based on the proximity theory proposed by Boschma,taking Jingyang Fu Tea industry in Shaanxi as an example,combining with field research data,this paper used ArcGIS space analysis,IBM SPSS22.0 descriptive statistical analysis,social network analysis and constructed multivariate linear regression model to explore the adjacent characteristics of Fu Tea industry cluster and its influence on the innovation of industrial cluster.The results show that social proximity has the most significant impact on the innovation of Jingyang Fu Tea industrial cluster in Shaanxi,which plays an obvious positive role in promoting the formation of innovation atmosphere in the cluster and improving the diffusion and circulation of new knowledge and technology within the industrial cluster.Cognitive and institutional proximity have a positive influence on the innovation of Jingyang Fu Tea industrial cluster in Shaanxi.The influence effect is higher than geographical proximity,but weaker than social proximity.However,geographical proximity has no significant effect on the innovation of Jingyang Fu Tea industrial cluster in Shaanxi.Excessive geographical proximity leads to a certain degree of“path locking”of enterprises,which has a negative impact on the innovation and development of industrial clusters.
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