高新技术产业创新产出空间集聚及关联性研究

收集2000—2018年中国内地30个省市高新技术产业创新产出专利申请及相关数据，运用ArcGIS空间分析工具对其空间集聚特征进行可视化分析，并利用QAP 方法分析其关键影响因素。结果发现：①高新技术产业创新产出空间集聚的重要特征是区域非均衡性，马太效应显著； ②强强型关联主要集中在东南沿海地区与部分中部地区，弱弱型关联主要集中在北部地区与西南地区，弱强、强弱型关联主要集中在少部分北部、中部与南部地区；③高新技术产业创新产出空间集聚及关联影响因素中，投入变量的R&D经费为显著正相关，R&D人员为显著负相关。溢出变量的产学研合作为不显著正相关，产业集聚、地理距离为显著正相关，FDI为显著负相关。

Research on Spatial Agglomeration and Correlation of Innovation Output in High-tech Industry

This paper collects patent applications and related data of innovation output of high-tech industries in 30 provinces and cities in mainland China from 2000 to 2018,and used ArcGIS spatial analysis tool to conduct a visual analysis of their spatial agglomeration characteristics.Using QAP method in network analysis to analyze its key influencing factors finding:①the important feature of spatial agglomeration of high and new technology industry innovation output is regional imbalance,"the Matthew effect" is obvious;②the strong-strong correlation is mainly concentrated in the southeast coastal and parts of the central region,the weak-weak correlation is mainly concentrated in the northern and southwest regions,and the weak-strong and strong-weak correlation is mainly concentrated in a few northern,central and southern regions;③among the factors influencing the spatial agglomeration and correlation of high-tech industry innovation output,in input variables,the R&D expenditure is significantly positive correlation,and the R&D personnel is significantly negative correlation.in spillover variables,the industry-university-research cooperation is not significantly positively correlation,the industrial agglomeration and geographical distance are significantly positively correlation,FDI is significantly negatively correlation.