Distribution Characteristics and Influencing Factors of High-tech Enterprises in Beijing
High-tech enterprises have become important drivers of regional innovation activities,exhibiting spatial agglomeration characteristics.This study utilizes methods such as spatial autocorrelation,kernel density analysis,standard deviation ellipse,and multiscale geographic weighted regression(MGWR)model to investigate the distribution characteristics and influencing factors of high-tech enterprises in Beijing.The results indicate that:1)The spatial autocorrelation of high-tech enterprises in Beijing initially increased and then weakened,with the overall spatial pattern showing little change and trending towards a stable stage of development.Different types of enterprises exhibited distinct clustering characteristics and each had their specific high-density clustering areas.2)The multiscale geographic weighted regression model can adjust weights at different spatial scales,revealing the heterogeneity of high-tech enterprises at various scales more precisely.3)Various factors exerted varying degrees of influence on the distribution of high-tech enterprises,displaying spatial heterogeneity.There were significant differences between the regression results of the MGWR model's global influencing factors and those obtained from classifying the enterprises by type.The research findings can provide a scientific basis for governments and enterprises to formulate scientific and reasonable industrial planning and innovation policies,guiding the high-quality development of the urban economy.
high-tech enterprisesclusteringuniversities and research institutesoffice rental markettransportationlife servicespatial layout