知识溢出与中国高技术产业创新

摘要笔者利用2000年～2011年中国省域单元高技术产业分行业面板数据,基于外部性思想理论,同时考虑地区间空间相关性,构建空间滞后面板模型,实证检验了专业化、多样化、竞争程度及省区间溢出效应对中国高技术产业创新的影响。研究发现高技术产业各行业创新过程中资本的贡献弹性都显著为正,劳动的贡献比资本小;知识的专业化溢出对高技术产业的区域创新产生显著的正面影响,多样化溢出的影响在行业间有所不同,而企业竞争程度影响并不显著。

	Service

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	Email Alert
	RSS
	作者相关文章
	周灿
	曾刚

关键词：知识溢出创新高技术产业中国

Abstract： By means of the panel data from high-tech industries of 31 Chinese provincesin 2000-2011, this paper examinesthe effects of specialization, diversity and spatial spillovers and marketcompetition on Chinesehigh-tech industrial innovation by spatial lag panel data model based on the Marshalland Jacobsexternality theory and taken account of spatial correlations. The main findings of this study are drawn as follows. Firstly, the impact of R&D capital on Chinese high-tech industrial innovation is positive and statistically significant. Secondly,positive impacts of MarshallSpillover are observed in the regional innovation of high-tech industry,while the effects of Jacobs spillover on high-tech industry are different between industries. However, marketcompetition is not significant.

Keywords： Knowledge Spillover Innovation High-Tech Industry China

收稿日期 2016-01-06; 接受日期 2016-05-16;

基金资助:国家社会科学基金重大项目(10ZD&016);国家自然科学基金项目(41071093);国家自然科学基金项目 (41371147)

作者简介: 周灿(1988- ),女,河南信阳人,博士研究生,主要从事区域创新与产业集群研究;曾刚(1961- ),男,湖北武汉人,博士,教授,主要从事创新网络与产业集群研究。

引用本文:

周灿,曾刚.知识溢出与中国高技术产业创新[J]. 经济经纬, 2016,3: 78-83

ZHOU Can, ZENG Gang.Knowledge Spillover and Chinese High-Tech Industrial Innovation[J] Economic Survey, 2016,V33(3): 78-83

链接本文:

http://www.jjjw.org.cn/CN/ 或 http://www.jjjw.org.cn/CN/Y2016/V33/I3/78