韩国创新集群演化及其影响因素研究

科研管理 ›› 2014, Vol. 35 ›› Issue (9): 36-43.

韩国创新集群演化及其影响因素研究

何彬¹, 范硕²

1. 吉林大学中国国有经济研究中心, 吉林长春 130012;
2. 吉林大学经济学院, 吉林长春 130012

收稿日期:2013-09-17 修回日期:2014-07-07 出版日期:2014-09-25 发布日期:2014-10-22
作者简介:何彬（1979-），男，云南昆明人，博士，吉林大学中国国有经济研究中心讲师，研究方向：产业经济学，应用计量经济学。
范硕（1981-），男，吉林长春人，博士，吉林大学经济学院副教授，研究方向为国际贸易。
基金资助:
国家社会科学基金青年项目“我国创新集群培育的机制与对策研究”（13CJY053）；中国博士后科学基金面上资助项目“创新集群培育的内在机理与发展对策”（2011M500588）。

Empirical research on Korea innovation cluster evolution and its influencing factors

He Bin¹, Fan Shuo²

1. Center for Public Sector Economy Research, Jilin University, Changchun 130012, Jilin, China;
2. School of Economics, Jilin University, Changchun 130012, Jilin, China

Received:2013-09-17 Revised:2014-07-07 Online:2014-09-25 Published:2014-10-22

摘要/Abstract

摘要： 利用空间计量方法分析了韩国2001-2010年创新集群的发展特征及变化趋势，并利用空间面板数据模型检验了知识整合、网络、风险资本、政府投资、中小企业的增量等创新因素对于韩国创新集群的影响特征。研究结果表明，在韩国创新集群发展过程中，大企业及政府的作用是比较大的，而大学、研究机构以及小企业的创新作用并不显著。韩国走出了一条不同于欧美的创新集群发展模式，但同样获得了成功。韩国的经验给我们的启示是，面临不同的经济发展阶段应该采取适当的创新集群发展模式，而不是盲目的照搬西方经验。

关键词: 韩国, 创新集群, 空间计量方法, Moran I指数, GMM估计

Abstract: Using spatial econometric method to analyze the Korea Innovation Cluster's development characteristics and trends, and use space panel data models to examine the influence of knowledge integration, networking, venture capital, government investment, SME incremental innovation on the Korea Innovation Cluster. The results show that, large enterprises and government's role is relatively large, while universities, research institutions and the small business's role is not significant In Korea Innovation Cluster's development process. Korea's experience gives us a lesson that face different stages of economic development should take appropriate innovation cluster development, rather than blindly copying western experience.

Key words: Korea, innovation clusters, spatial econometric methods, Moran I index, GMM estimation

中图分类号:

F062.3

何彬, 范硕. 韩国创新集群演化及其影响因素研究[J]. 科研管理, 2014, 35(9): 36-43.

He Bin, Fan Shuo. Empirical research on Korea innovation cluster evolution and its influencing factors[J]. Science Research Management, 2014, 35(9): 36-43.

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