多源数据视角下中国城市网络地位对经济增长的影响及机制

Impact and Mechanism of China's Urban Network Position on Economic Growth from the Perspective of Multi-source Data

文章结合上市公司总部与分支机构、论文合作发表、专利联合申请和百度指数等多源数据,构建了2011—2020年中国286个地级及以上城市的聚合网络和分类网络,采用社会网络分析和空间计量模型等方法,实证分析了城市网络地位对经济增长的影响及机制。研究发现:(1)中国城市网络具有显著的空间指向性,网络地位和联系强度较高区域主要分布在京津冀、长三角、珠三角和成渝城市群组成的菱形结构之间,在企业、信息、技术和知识网络中存在分类异质性。(2)城市网络地位和合作伙伴网络地位提升均能促进经济增长。经济集聚、技术创新、绿色创新效率和市场潜能均是城市网络地位影响经济增长的重要机制。(3)城市网络地位对经济增长的影响在区位条件、规模等级和环境质量方面具有区域异质性,在企业、信息、技术和知识等不同类型网络中具有分类异质性。

Based on the multi-source data of listed company headquarters and branches,co-publication papers,joint patent application and Baidu Index,this paper constructs aggregated network and categorized network among 286 cities at or above the prefecture level in China from 2011 to 2020.It uses the social network analysis method and spatial econometric model to empirically analyze the impact and mechanism of China's urban network position on economic growth.The results show that:1)China's urban network exhibits significant spatial directionality,regions with higher urban network position and linkage strengths mainly distributed among the diamond-shaped structure composed of the Beijing-Tianjin-Hebei,Yangtze River Delta,Pearl River Delta and Chengdu-Chongqing urban agglomerations.There is also categorical heterogeneity in corporate network,information network,technology network and knowledge network.2)The enhancement of urban network position and partner network position can promote economic growth.Economic agglomeration,technological innovation,green innovation efficiency and market potential are all important impact factors of urban network position on economic growth.3)The impacts of urban network position on economic growth has regional heterogeneity in terms of location condition,size level and environmental quality,as well as categorical heterogeneity in different types of networks such as corporate network,information network,technology network and knowledge network.