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利用网络DEA方法测算了中国1996-2014年省域“科技-金融”系统效率,在分析其时空演进特征的基础上,构建两阶段GMM模型和空间杜宾模型,实证检验了制度环境、基础设施对“科技-金融”系统效率改善的本地效应和空间溢出效应。研究发现,中国整体“科技-金融”系统效率呈上升趋势,且具有显著正向空间关联;不考虑空间因素时,制度环境、基础设施水平的提升均有利于本地“科技-金融”系统效率的改善;考虑空间因素后,基础设施的直接效应与空间溢出依然显著为正,但制度环境的直接效应不显著,且出现显著的负向空间溢出效应,对此的解释是不同区域制度环境水平存在较大差异,导致了创新要素在区域间的单向流动,不利于落后地区的“科技-金融”系统效率提升。
By using the network DEA method, the efficiency of provincial “science-finance-system” in China from 1996 to 2014 was estimated. Based on the analysis of its temporal and spatial evolution characteristics, a two-stage GMM model and a spatial Dubbin model were constructed. Empirical tests were carried out to verify the institutional environment, Local and Spatial Spillover Effects of Infrastructure on System Efficiency Improvements in the “Science-Finance” System. The study found that the system efficiency of China’s overall “science-finance” system is on the rise and has a significant positive spatial correlation. When the spatial factor is not taken into account, the enhancement of the institutional environment and infrastructure level is conducive to the development of the local “science and technology-finance system” “The improvement of system efficiency; considering the space factor, the direct effect and spillover of infrastructure are still significant and positive, but the direct effect of institutional environment is not significant, and there is a significant negative spillover effect. The explanation for this is that different regions There is a big difference in institutional environment level, which leads to one-way flow of innovation elements in different regions and is not conducive to the improvement of the system efficiency of ”science-technology-finance" in backward regions.