基于广东大数据测度的中国城市群社会联系:空间特征与影响因素  

Measuring Social Connectedness in Urban Clusters in China Based on Guangdong Big Data:Spatial Characteristics and Influencing Factors

作　　者：李莹[1] 黄新飞 李腾 Li Ying;Huang Xinfei;Li Teng

机构地区：[1]江西财经大学国际经济与政治学院,南昌市330013 [2]中山大学国际金融学院,珠海市519082

出　　处：《南方经济》2024年第12期85-104,142,共21页South China Journal of Economics

基　　金：广东省自然科学基金卓越青年团队项目“基于双循环背景下中国双向直接投资理论与应用研究”(2024B1515040021)资助。

摘　　要：优先推进中国重大区域城市群协同发展是建设全国统一大市场的重要任务。提高中国城市群之间的社会联系有助于降低交易和沟通成本,促进区域经济协调发展。文章使用广东省某大型电信运营商的电话大数据构建了188个区(县)之间的社会联系指标,基于2018年12月至2020年10月的面板数据分析中国城市群社会联系的空间特征及其影响因素。统计结果显示:城市群呈现多中心网络化发展格局,大部分区(县)与超大城市中心城区的社会联系程度较高;广东省空间社会网络大致可以划分为四个凝聚子群;粤港澳大湾区中心城市与周边区域的社会联系不断增强。实证结果表明:地理距离是影响城市群社会联系的重要因素,距离越远的地区之间社会联系越少,相同城市和相邻地区之间的社会联系越强;通行时间和公共交通成本的降低有利于加强地区之间的社会联系,但是无法消除地理距离的影响;经济差异、文化差异和受教育程度差异等是影响地区之间社会联系的重要因素。拓展分析发现,社会联系越强的地区之间人口流动越频繁,技术扩散水平越高。文章基于大数据为加快中国城市群统一市场建设提供了现实证据,有助于加深理解中国区域经济发展战略。To give priority to the coordinated development of major regional urban Clusters in China is an important task to build a unified national market.Strengthening the social connectedness between urban clusters can reduce transaction costs and obstacles in communication,and then coordinate growth across regions in China.This paper uses the panel big data from December 2018 to October 2020 of a large operational telephone company in Guangdong to construct the indicators of social connectedness between 188 districts and explore their spatial characteristics and influencing factors.The statistical results show that Urban agglomerations show a multi-center network development pattern,and most districts(counties)have a high degree of social connectedness with the megacities.The spatial social network of Guangdong Province can be roughly divided into four cohesive subgroups.Social links between the central cities of the Guangdong-Hong Kong-Macao Greater Bay Area and their surrounding areas have been strengthened.The empirical results show that geographical distance is an important factor affecting the social connectedness of urban agglomerations.Additionally,the farther between regions,the fewer connections,while there are more social connectedness between the adjacent areas and the same cities.The reduction of travel time and cost of public transportation strengthens social connectedness between regions.Economic,cultural,and educational differences are also important factors affecting the social connectedness index between regions.Furthermore,the higher connections,while there are more social connectedness between the adjacent areas and the same cities.The reduction of travel time and cost of public transportation strengthens social connectedness between regions.Economic,cultural,and educational differences are also important factors affecting the social connectedness index between regions.Furthermore,the higher connections,the larger population flow and the higher level of technology diffusion.Based on mobile phone data

关 键 词：社会联系 城市群 电话大数据 空间特征 

分 类 号：F127[经济管理—世界经济]