基于空间计量的区域间创新行为知识溢出分析

摘要/Abstract

摘要： 创新和知识累积是促进技术进步和经济增长的重要因素。知识生产函数刻画了研发投入与产出之间的关系。本文在知识生产函数的框架下,创新性地考虑了本地知识存量与其余地区知识存量因素的影响,利用空间计量经济学的空间常系数空间滞后模型、空间误差模型,对我国31个省份区域间创新行为知识溢出进行了回归分析。结果表明,R&D经费支出对地区的知识生产有显著的正效应,而R&D人员全时当量对知识生产作用不显著;知识存量对地区知识生产具有显著作用,本地知识存量具有正效应,其他地区知识存量具有负效应;我国区域创新活动已经呈现出较强的空间聚集趋势。最后,结合研究结果对区域间的创新行为提出了方向性的建议。

关键词: 知识溢出, 区域创新, 知识生产函数, 空间计量经济学模型

Abstract: Innovation and knowledge accumulation are the important factors to promote technological progress and economic growth. The knowledge production function characterizes the relationship between R&D inputs and outputs. With the framework of the knowledge production function, the knowledge stock influence of local and the rest regions is considered. By using both spatial lag model and spatial error model, a regression analysis on the knowledge spillovers of interregional innovation behaviors for the 31 provinces in China is conducted. The results indicate that firstly, R&D expenditures have a significant positive effect on the regional knowledge production; meanwhile the relation between R&D personnel full time equivalent and knowledge production is insignificant. Secondly, the relation between knowledge stock and regional knowledge production is significant. Local knowledge stock has a positive effect on knowledge production; however other regions’ knowledge stock has a negative effect. Thirdly, regional innovation activities in China have shown a strong trend of spatial aggregation. According to the research results, several proposals are put forward for interregional innovation.

Key words: knowledge spillover, regional innovation, knowledge production function, spatial econometric model

中图分类号:

F064.1

李志宏, 王娜, 马倩. 基于空间计量的区域间创新行为知识溢出分析[J]. 科研管理, 2013, (6): 9-16.

Li Zhihong, Wang Na, Ma Qian. Knowledge spillovers analysis on interregional innovative behaviors based on spatial measurement[J]. Science Research Management, 2013, (6): 9-16.

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