利用Ripley's K函数法的制造业微观企业数据空间集聚分析OA

Under the background of manufacturing industry upgrade,taking the micro-enterprises in current construction land and typical industry agglomeration areas as the research objects,we used the multi-scale and single and double Ripley's K function to study the spatial agglomeration in Baiyun District of Guangzhou City.The research results showed that ①in the two research windows,the labor-intensive industry,mainly textile and costume industry,had the highest clustering degree,matching the current industrial situation of Baiyun District.②The mutual attraction between most industries in Baiyun District was related to the sharing of industry labor and the stream of industrial chains.③The analysis of six typical industry agglomeration areas showed that it was similar to the overall distribution of whole district.However,the agglomeration performance of wooden furniture industry and technology-intensive industry in these six areas was more obvious than that in the whole district.The Donghua industry agglomeration area of Renhe Town formed an obvious agglomeration of technology-intensive industry.