Spatial Network Characteristics and Influencing Factors of Producer Services Industry Embedding in Manufacturing Industry at the Provincial Level
This paper uses the input-output method to measure the spatial value flow of producer services industry embedding in manufacturing industry of 31 provincial-level regions in China.According to the above,it constructs the spatial correlation network of producer services industry embedding in manufacturing industry and analyzes its network characteristics and influencing factors.The results indicate that:1)Compared with 2017,the upstream index of each manufacturing sector remained basically stable in 2020,while the embeddedness of producer services industry in these manufacturing sectors increased significantly overall.2)In 2017,the density of spatial correlation network showed a decreasing distribution pattern from the east of China to the west of China in sequence,larger spatial value flows mainly occurred between Beijing,Henan,Jiangsu,Zhejiang,Shanghai and Guangdong.The spatial correlation network of producer services industry embedding in the upstream,midstream,and downstream production links of metallurgical industry chain and chemical industry chain,which both presents a similar spatial pattern.3)The geographical proximity between provincial-level regions can have a positive impact on the formation of spatial correlation networks.However,differences in the development level of digital economy,the technological innovation level and the transportation infrastructure level,the degree of marketization are not conducive to the formation of the spatial correlation network of producer services industry embedding in manufacturing industry.