创业空间的微区位模式及影响因素——以广州市为例

To a certain extent, the entrepreneurial spaces represent the spatial expression of entrepreneurial activities in the context of the "Internet +" transformation. This article combines the methods of bivariate spatial autocorrelation, geographically weighted regression, and negative binomial regression model to identify the urban innovation and entrepreneurship environment with entrepreneurial vitality and industrial characteristics, and explores the micro-location patterns and influencing factors of the entrepreneurial spaces in Guangzhou under the background of Mass Entrepreneurship and Innovation. Results indicate that: ①Since the implementation of the Mass Entrepreneurship and Innovation, entrepreneurial spaces in Guangzhou have continued to emerge. Mass innovation spaces in Guangzhou have shown a trend of rapid ascending followed by leveling off and the transition from the location window period to the spatial agglomeration, and the spatial distribution of incubators is relatively stable. ②Micro-location patterns of entrepreneurial spaces are characterized by innovative and entrepreneurial patterns, creative and innovative patterns, creative-oriented, technology-intensive and capital-proximity patterns. The proportion of entrepreneurial spaces driven by technology-intensive and relying on universities has increased. The central business district, historical urban areas, and urban villages have spatial heterogeneity in the micro-location of entrepreneurial spaces. The proximity of universities and the radiation of industrial parks are the key influencing factors of the local and global location selection of entrepreneurial spaces.