省域生产性服务业嵌入制造业的空间网络特征及其影响因素  

Spatial Network Characteristics and Influencing Factors of Producer Services Industry Embedding in Manufacturing Industry at the Provincial Level

作　　者：张军涛[1] 闫昱睿 ZHANG Juntao;YAN Yurui(School of Public Administration,Dongbei University of Finance and Economics,Dalian 116025,Liaoning,China;Institute for Northeast Full Revitalization,Dongbei University of Finance and Economics,Dalian 116025,Liaoning,China)

机构地区：[1]东北财经大学公共管理学院,辽宁大连116025 [2]东北财经大学东北全面振兴研究院,辽宁大连116025

出　　处：《经济地理》2024年第5期134-143,201,共11页Economic Geography

基　　金：教育部人文社会科学研究规划基金项目(22YJA790086);国家自然科学基金项目(41571121)。

摘　　要：文章运用投入产出法测度中国31个省份生产性服务业嵌入制造业的空间价值流,据此构建空间关联网络,并对网络特征及影响因素进行分析。结果表明:(1)相较于2017年,各制造业部门的上游度在2020年基本保持稳定,而其被生产性服务业嵌入程度整体增长较为明显。(2)2017年全国生产性服务业嵌入制造业的空间关联网络密度呈现出东—中—西部依次递减的分布格局,较大的空间价值流主要存在于北京、河南、江苏、浙江、上海和广东之间;生产性服务业嵌入冶金工业产业链和化工产业链上、中、下游生产环节呈现出与之类似的空间格局。(3)省域间的地理邻近性能够对空间关联网络的形成产生积极作用;而数字经济发展水平差异、技术创新水平差异、交通基础设施水平差异以及市场化程度差异不利于生产性服务业嵌入制造业空间关联网络形成。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.

关 键 词：生产性服务业 制造业 空间关联网络 产业链 投入产出表 地理邻近性 全国统一大市场 

分 类 号：F062.9[经济管理—政治经济学]