• 中国科学学与科技政策研究会
  • 中国科学院科技战略咨询研究院
  • 清华大学科学技术与社会研究中心
ISSN 1003-2053 CN 11-1805/G3

›› 2013, Vol. ›› Issue (7): 1068-1076.

• 科技管理与知识管理 • 上一篇    下一篇

多维邻近与我国高技术产业区域知识溢出:一项空间面板数据分析(1995-2010)

王庆喜   

  1. 浙江工业大学经贸管理学院
  • 收稿日期:2013-01-14 修回日期:2013-05-22 出版日期:2013-07-15 发布日期:2013-07-12
  • 通讯作者: 王庆喜
  • 基金资助:
    产业集群知识流动的微观机制研究:邻近效应、网络结构与吸收能力

Inter-provincial Knowledge Spillovers under Multiple Dimensions of Proximity: An Empirical Examination by Spatial Panel Data

  • Received:2013-01-14 Revised:2013-05-22 Online:2013-07-15 Published:2013-07-12

摘要: 采用我国31个省份中5个高技术产业1995-2010年的创新投入与产出数据,基于地理邻近、技术邻近和交互邻近三种空间权重矩阵,利用空间面板数据分析,分别考察了不同邻近性下我国高技术产业的省际知识溢出效应。实证结果表明:相比普通面板分析而言,空间面板分析的估计更为准确;研发资本对创新产出的贡献要高于研发人员;不管是在地理邻近还是在技术邻近维度下,我国高技术产业的省际溢出效应均很明显,其中技术邻近效应略高,然而基于二者的交互效应并没有明显增强;不同设定方式下模型系数存在差别,文章据此探讨了其背后的可能发生机制。

关键词: 省际知识溢出, 地理邻近, 技术邻近, 空间面板数据模型, 高技术产业, inter-provincial knowledge spillovers, geographical proximity, technological proximity, spatial panel data analysis, high-tech industries

Abstract: Use panel data sets collected from five high-tech industries in Chinese 31 provinces through year 1995-2010, this study examines effects of geographical proximity, technological proximity and combined proximity on inter-provincial knowledge spillovers respectively by spatial panel data analysis. The empirical results indicate that, first, estimations of spatial panel data analysis is more precise than that of common panel data analysis. Second, R&D capital contributes more than R&D labor on knowledge production. Third, whether under geographical proximity or technological proximity, the presence of Chinese inter-provincial knowledge spillovers in high-tech industries is much evident, in which technological proximity has a little more effects, but the effects of combined proximity is not sufficient as presumed. The estimation varies with different model specifications and its implications are discussed.

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