Research On Spatial Correlation And Influencing Factors Of China’s High-tch Industry Development

High-tech industry is the main force of national economic development,and its development level can effectively measure the level of economic development of a country.The high-tech industry is characterized by knowledge-intensive and technology-intensive,not only its own rapid development,but also effectively promotes the development of other industries.Due to the different levels of economic development and growth rate between regions,there are ob-vious imbalances in the development of high-tech industries in various regions of China.From the perspective of space,the development characteristics of high-tech industries can be developed,and corresponding development strategies can be formulated to develop high regions.Technology industry.This paper first uses social network analysis to study the spatial correlation characteristics of inter-provincial high-tech industries in China,and then uses QAP analysis to study the factors affecting the spatial correlation of high-tech industries.Based on the inter-provincial spatial relationship data of China’s high-tech industry from 1997 to 2015,this paper uses the social network analysis method to study the spatial association of high-tech industries in 30 provinces and cities(excluding Tibet,Hong Kong,Macao and Taiwan)based on the revised gravity model.The relevance of the network,the structural characteristics of spatial association networks between different provinces and cities are analyzed,and the correlation between spatial correlation and various influencing factors and the correlation between various influencing factors are analyzed by QAP correlation analysis.Finally,QAP regression analysis is used.The law studies the degree of influence of various influencing factors on the spatial correlation matrix.The results of social network analysis are as follows:(1)From 1997 to 2015,the spatial correlation of high-tech industry development in various provinces and cities in China presents a network-like structural form.As the years increase,the network density of high-tech industries gradually increases,and the network stability is also gradually enhanced.(2)In the high-tech industrial space-related network,all cities are connected with other cities.The central cities of the network are mainly coastal developed cities such as Beijing,Shanghai,and Tianjin.These cities are mainly responsible for the network structure.The role of media and conduction.(3)Through the cluster analysis method,the block model analysis of high-tech industries in 30 provinces and cities in China is carried out.It is found that the high-tech industry spatial association network of each province and city in China can be divided into four modules,and each module has obvious Spatial correlation effect.(4)There is a great spatial relationship between the development of high-tech industries in various provinces and cities in China and the development mode between regions.On the basis of social network analysis,the research found that there are five main factors affecting the spatial correlation of high-tech industry development in China’s provinces and cities:economic openness,investment level,economic base,urbanization and inter-regional Spatial adjacency.The QAP analysis method is used to empirically analyze these influencing factors.The QAP correlation analysis results show that these influencing factors and high-tech spatial correlation networks have obvious correlations,and these influencing factors are also highly correlated.The results of QAP regression analysis show that each influencing factor has a significant effect on the spatial correlation network.Based on the above conclusions,this paper proposes several targeted recommendations.