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以知识生产函数为框架,将空间地理邻近和产业技术邻近同时引入空间计量模型,系统分析两者在空间知识溢出过程中的交互作用,实现了溢出效应在空间和产业两个维度的有效结合.基于全国各地区第一次和第二次经济普查数据,采用贝叶斯马尔可夫链蒙特卡罗方法去估计空间杜宾模型,并将空间外部性划分为直接效应和间接效应,避免了空间杜宾模型参数的错误解释.实证结果不仅证实了空间外部性的存在,而且还发现基于技术邻近的区域内专业化经济促进创新产出的作用突出,而基于地理邻近的区域间空间溢出效应相对较弱.
Taking the knowledge production function as a framework, spatial geo-proximity and industrial technology proximity are introduced into the spatial econometrics model at the same time. The interaction between the two in spatial knowledge spillover is systematically analyzed, and the spillover effect is effectively combined in the two dimensions of space and industry. Based on the data of the first and second economic census in various regions of the country, Bayesian Markov chain Monte Carlo method is used to estimate the space Dobbin model, and the spatial externalities are divided into direct and indirect effects to avoid space Dobermann model parameters.Experimental results not only confirm the existence of spatial externality, but also find that the specialized economy promotes innovation output based on the proximity of technology is prominent, while the geographical spillover effect based on geographical proximity is relatively Weaker.