Research On Spatial Spillover Effect Of Regional Innovation Output

With the development of economic geography and the deepening of economic globalization,the links between regions are becoming closer and closer.Each region is no longer independent of each other,administrative barriers are no longer the boundaries between regions,and different regions have a certain relationship in terms of innovation output.Therefore,studying and exploring the spatial pattern of regional innovation output,and exploring the spatial transmission path of regional innovation spillover effects,are conducive to promoting the overall development of regional innovation output and improving the level of regional innovation output.This article uses the number of invention patent applications from 31 provinces in China from 1998 to 2017 as the research object,analyzes the spatial pattern change trend of China’s regional innovation output through ArcGIS 10.6 software,and analyzes the spatial characteristics of China’s regional innovation output by calculating the global Moran’s I index.Then,this paper analyzes the spatial spillover effect of China’s regional innovation output growth rate by considering the spatial lag and spatial error spatial β convergence model,and analyzes the spatial spillover effect of China’s regional innovation output and its influencing factors by the spatial Durbin model under fixed effects.Finally,this paper analyzes the transmission paths and differences of the spatial spillover effect of innovation output in the four economic regions of China’s east,middle,west and northeast.The result shows:(1)China’s regional innovation output shows a trend from point to line.From Beijing in 1998 to the coastal economic zone and the Yangtze River economic zone in 2017,its spatial pattern gradually developed into a T-shaped structure;China’s regional innovation output,measured by the number of patent applications,shows a very significant spatial autocorrelation.(2)The growth rate of China’s regional innovation output has a positive spatial spillover effect.In the analysis of SEM,the estimated convergence coefficient of conditional β convergence is-0.0845,and the corresponding convergence rate is 8.824%,which is 6.866 percentage points higher than the absolute β convergence rate.The half life cycle of the conditional β convergence is 7.85 years,which means that after considering the influence of regional innovation investment and related control variables,the time required for regional innovation backward regions to catch up with regional innovation developed regions has been shortened by 3/4.(3)There is a significant positive spatial spillover effect in China’s regional innovation output,and different innovation input factors and their spatial spillover effects have a significant impact on China’s regional innovation output.Among them,investment in science and technology capital,opening-up and economic development has a very significant role in promoting regional innovation and development.However,the increase in the input of scientific and technological personnel has not driven the development of regional innovation in China.(4)In terms of the transmission path of the regional innovation space spillover effect,there are certain differences between the transmission paths of direct and indirect effects of different input factors in the four economic regions of the east,middle,west and northeast.Based on the above conclusions,this article proposes the following suggestions.First,break the administrative barriers of innovation output,and promote interregional innovation cooperation.Second,give play to policy advantages,and promote the development of regional innovation backward areas.Third,improve the level of investment in scientific and technological innovation,and create a perfect environment for scientific and technological innovation.Forth,adapt measures to local conditions,differentiate measures,and rationally adjust innovation inputs.