知识溢出的空间外部性测度——基于空间和产业双重维度

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.

The spatial externalities measurement of knowledge spillovers-Based on the spatial and the industrial dimensions

Based on the frame of the knowledge production function, the paper introduces geographical proximity and technological proximity together in the spatial econometric model, systematically analyzes the two proximities' interactive effects in the process of knowledge spillover, and realizes an effective combination of the spillover effect in the spatial and the industrial dimensions. Based on the first and the second economic census data in regions all over China, the Bayesian Markov Chain Monte Carlo (MCMC) methods are used to estimate the spatial Durbin model, and the spatial externalities are divided into direct effects and indirect effects, so as to avoid the error of explanations for the model parameter. The empirical results not only confirm the presence of spatial externalities, but also find that specialization economies based on technological proximity promote innovation output effectively, and that spatial spillover effects based on geographical proximity are relatively weak.