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不同技术水平产业集群绩效实现机理比较研究 被引量:2

The comparison in performance mechanism between different technological levels of industrial cluster
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摘要 受Adner技术挑战理论的启发,选取杭州安防视频监控产业和温州鞋革业两类不同技术水平的集群进行跨案例比较研究,探究产业链中不同位置企业所面临的技术挑战对不同技术层次产业集群整体绩效影响的作用机制。通过实地调研、二手数据搜集和权威期刊关键词分析等,描述上述两类产业集群产业链结构和技术变迁,并重点分析集群中上游组件商和下游互补件商所面临的技术挑战对集群焦点企业及其整体绩效的影响。研究发现:(1)在高技术集群中,上游组件商所面临的技术挑战对焦点企业和集群整体绩效有促进作用,而下游互补件商所面临的技术挑战对其有抑制作用;(2)在低技术集群中,上游组件商所面临的技术挑战对焦点企业和集群整体绩效无显著相关性,而下游互补件商所面临的技术挑战对其有促进作用。 Enlightened by Adner's study on influences of technological challenges' on innovation ecosystem,the paper takes Hangzhou security surveillance system and Wenzhou shoemaking industrial clusters as cross case studies to explore how position of technological challenges along industrial chain affect industrial clusters across different technological level. By semi-structured interviews,second-hand data and peer-reviewed journal keyword analysis,the paper describes the industrial chain structure and technological change of the clusters mentioned above,and focus on how the upstream component suppliers and downstream complementors' technological challenges influence focal firm and cluster performance. Findings are as follows: first,in context of high-tech industry,upstream component suppliers' technological challenges are positively related to focal firm and cluster performance,while downstream complementors' technological challenges have reducing effects. Second,in context of low-tech industry,no significant relationship is found between upstream component suppliers' technological challenges,local firm and cluster performance,while downstream complementors' technological challenges facilitates focal firm and cluster performance.
作者 靳雨涵 郑健壮 JIN Yu-han;ZHENG Jian-zhuang(School of Management,Hangzhou 310058,China;Zhejiang University City College,Hangzhou 310015,China)
出处 《科学学研究》 CSSCI CSCD 北大核心 2018年第9期1585-1593,共9页 Studies in Science of Science
基金 教育部人文社科规划项目(17YJA630142) 杭州市社科重点研究基地“企业社会责任与可持续发展研究中心”
关键词 产业集群 技术挑战 产业链 集群绩效 industrial cluster technological challenge industrial chain cluster performance
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