Research on the impact mechanism of information flow network embedding affecting high - quality economic development in central cities

  • TANG Lin ,
  • HAN Jian
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Received date: 2025-07-22

  Revised date: 2025-09-07

  Online published: 2026-02-12

Abstract

Embedding central cities into information flow networks enhances the efficiency of factor allocation, forming a crucial strategic leverage for high-quality economic development. Based on Baidu Index data from 2013 to 2022, this study constructs a directed and weighted information flow matrix among central cities and empirically examines the impact and mechanism of information flow network embedding on high-quality economic development. The results show that embedding central cities into information flow networks significantly promotes high-quality economic development. This conclusion remains robust after addressing endogeneity, changing models, and using alternative estimation methods. Mechanism analysis indicates that embedding central cities into information flow networks facilitates the upgrading of factor endowment structures and industrial structures, thereby empowering high-quality economic development. Heterogeneity analysis and quantile regression reveal that, compared with information inflows, central cities’ high-quality economic development benefits more from information outflows. Furthermore, embedding cities in inter-provincial information networks has a stronger promoting effect than embedding them in intra-provincial networks. Compared with non-old industrial cities, old industrial cities gain more from embedding into information flow networks. The higher the level of high-quality economic development, the more pronounced the benefits of network embedding. Therefore, to promote high-quality economic development in central cities, governments should increase investment in communication infrastructure, build high-efficiency, low-latency information flow networks, strengthen urban information circulation, and drive the upgrading of regional factor endowments and industrial structures, thereby empowering high-quality economic development.

Cite this article

TANG Lin , HAN Jian . Research on the impact mechanism of information flow network embedding affecting high - quality economic development in central cities[J]. Urban Problems, 2025 , 363(10) : 59 -70 . DOI: 10.13239/j.bjsshkxy.cswt.251006

References

[1] 周锐波,邱奕锋,胡耀宗.中国城市创新网络演化特征及多维邻近性机制[J].经济地理,2021(5):1-10
[2] 周宏浩,谷国锋,任慧敏.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[J].经济地理,2024(10):55-65
[3] Townsend A M.Network cities and the global structure of the Internet[J].American Behavioral Scientist, 2001(10):1697-1716
[4] 孙中伟,路紫.流空间基本性质的地理学透视[J].地理与地理信息科学,2005(1):109-112
[5] Jin B,Yang W, Li X, et al.A literature review on the space of flows[J].Arabian Journal of Geosciences,2021(14):1-24
[6] 习近平.在推动中部地区崛起座谈会并发表重要讲话[EB/OL].(2024-03-21)http://politics.people.com.cn/n1/2024/0321/c1024-40199853.html
[7] 杨梦洁.新时代中部地区现代化产业体系建设:新经验、制约因素、突破路径[J].区域经济评论,2024(4):102-109
[8] 佟孟华,褚翠翠,李洋.中国经济高质量发展的分布动态、地区差异与收敛性研究[J].数量经济技术经济研究,2022(6):3-22
[9] 赵儒煜,常忠利.经济高质量发展的空间差异及影响因素识别[J].财经问题研究,2020(10):22-29
[10] 李治国,李兆哲,孔维嘉.数字经济赋能高质量发展过程中的“虹吸集聚”——来自黄河中下游城市层面的经验证据[J].经济地理,2024(1):45-56
[11] Peng D,Li R,Shen C,et al.Industrial agglomeration, urban characteristics, and economic growth quality:The case of knowledge-intensive business services[J].International Review of Economics & Finance,2022(81):18-28
[12] Chakamera C,Alagidede P.The nexus between infrastructure (quantity and quality) and economic growth in Sub Saharan Africa[J].International Review of Applied Economics,2018(5):641-672
[13] 上官绪明,葛斌华.科技创新、环境规制与经济高质量发展——来自中国278个地级及以上城市的经验证据[J].中国人口·资源与环境,2020(6):95-104
[14] 黄勃,李海彤,刘俊岐,等.数字技术创新与中国企业高质量发展——来自企业数字专利的证据[J].经济研究,2023(3):97-115
[15] 王媛玉,范博凯.流空间视角下数字经济赋能城市群空间体系均衡化发展研究[J].重庆大学学报(社会科学版),2024(2):16-32
[16] 熊丽芳,甄峰,王波,等.基于百度指数的长三角核心区城市网络特征研究[J].经济地理,2013(7):67-73
[17] 姚文萃,周婕,陈虹桔,等.基于互联网公共信息流的区域网络空间结构研究[J].经济地理,2017(10):10-16
[18] 毕硕本,黄铜,赵爱,等.基于社会网络分析法对信息流空间传播特征的研究[J].计算机科学,2018(12):279-287
[19] 林赛南,邓慧琳,彭馨雨,等.流空间视角下武汉都市圈城市空间联系格局及影响因素[J].经济地理,2024(2):81-89
[20] 黄沣爵,杨滔.珠三角城市空间联系及社会网络——基于“流空间”的分析[J].热带地理,2022(42):422-430
[21] 陈刚,陈雁云,王光辉,等.多维网络嵌入对城市群城市经济增长的影响——以中国五大城市群为例[J].地理研究,2025(4):1158-1174
[22] 刘贺,李雪铭,田深圳,等.集聚外部性、网络外部性与城市经济发展[J].干旱区资源与环境,2023(6):38-45
[23] 沈路,钞小静.多元要素流动对城市群高质量发展的影响——以长株潭城市群为例[J].科技进步与对策,2023(3):30-40
[24] 刘洋,王坤,赵延桐.信息流对黄河流域经济发展与生态环境协同性的影响机制[J].经济地理,2025(11):12-22
[25] Di K,Xu R,Liu Z,et al.How do enterprises’ green collaborative innovation network locations affect their green total factor productivity? Empirical analysis based on social network analysis[J].Journal of Cleaner Production,2024(438):140766
[26] 何喜军,董颖,武玉英,等.多层网络下企业技术创新能力影响因素及机理研究——以中国半导体行业上市公司为例[J].管理评论,2025(4):98-112
[27] Granovetter M S.The strength of weak ties[J].American Journal of Sociology,1973(6):1360-1380
[28] 钱锡红,杨永福,徐万里.企业网络位置、吸收能力与创新绩效——一个交互效应模型[J].管理世界,2010(5):118-129
[29] 何小钢,梁权熙,王善骝.信息技术、劳动力结构与企业生产率——破解信息技术生产率悖论之谜[J].管理世界,2019(9):65-80
[30] Li L,Zhu W,Wei L,et al.How can digital collaboration capability boost service innovation? Evidence from the information technology industry[J].Technological Forecasting and Social Change,2022(182):121830
[31] Lu H T,Li X,Yuen K F.Digital transformation as an enabler of sustainability innovation and performance-Information processing and innovation ambidexterity perspectives[J].Technological Forecasting and Social Change, 2023(196):122860
[32] 黎峰.要素禀赋结构升级是否有利于贸易收益的提升?——基于中国的行业面板数据[J].世界经济研究,2014(8):3-7,14,87
[33] 宋雅兵,朱进东.数字经济、要素禀赋结构升级与共同富裕[J].统计与决策,2024(1):17-22
[34] 雷菁,钟业喜,冯兴华,等.基于交通信息流的长江经济带城市中心性及其影响因素[J].经济地理,2021(8):97-105
[35] 张慧智,孙茹峰.网络基础设施建设与城市就业:传导路径与结构变化[J].人口学刊,2023(5):97-112
[36] 孙伟增,司璐,吕越.数字经济发展、资本跨区域非对称流动与异地分类投资[J].经济研究,2025(3):69-86
[37] 马为彪,梁昌一.数字经济发展对城市资本跨区域流动的影响[J].现代经济探讨,2025(3):37-49
[38] 张杰,盛科荣,刘乐.基于跨国面板数据分析信息网络对全要素生产率的影响[J].济南大学学报(自然科学版),2023(1):62-70
[39] Trippl M,Grillitsch M,Isaksen A.Exogenous sources of regional industrial change:Attraction and absorption of non-local knowledge for new path development[J].Progress in Human Geography,2018(5):687-705
[40] 程嘉嘉,余壮雄,董洁妙.产品网络、信息流动与产品出口[J].统计研究,2024(6):57-70
[41] 孟维福,刘婧涵.绿色金融促进经济高质量发展的效应与异质性分析——基于技术创新与产业结构升级视角[J].经济纵横,2023(7):100-110
[42] 刘强,李泽锦.产业结构升级与区域经济协调发展——来自省域与城市群的经验证据[J].经济学家,2022(8):53-64
[43] 沈丽珍,陈少杰,汪侠.流动空间视角下的同城化地区发展阶段划分与特征[J].地理研究,2021(9):2558-2571
[44] 冯树民.交通复杂网络方法[M].北京:人民交通出版社,2019:1-26
[45] Yao L,Li J,Li J.Urban innovation and intercity patent collaboration:A network analysis of China’s national innovation system[J].Technological Forecasting and Social Change,2020(160):120185
[46] 林毅夫.发展战略、自生能力和经济收敛[J].经济学(季刊),2002(1):269-300
[47] 杨得前,刘仁济.地方财政支出对要素禀赋结构升级的效应研究[J].当代财经,2018(5):25-36
[48] 张军,吴桂英,张吉鹏.中国省际物质资本存量估算:1952—2000[J].经济研究,2004(10):35-44
[49] 汪伟,刘玉飞,彭冬冬.人口老龄化的产业结构升级效应研究[J].中国工业经济,2015(11):47-61
[50] 徐敏,姜勇.中国产业结构升级能缩小城乡消费差距吗?[J].数量经济技术经济研究,2015(3):3-21
[51] 石有为,郝少博.市场准入管制放松的创业效应——基于双重机器学习模型的实证分析[J].山西财经大学学报,2025(5):1-12
[52] Chernozhukov V,Chetverikov D,Demirer M,et al.Double/debiased machine learning for treatment and structural parameters.[J] The Econometrics Journal, 2018(1):C1-C68
[53] 彭羽,郑枫.数字贸易便利化政策与出口产品质量升级——基于单一窗口的跨国面板数据检验[J].统计研究,2025(5):47-61
[54] Neal Z.Differentiating centrality and power in the world city network[J].Urban Studies,2011(13):2733-2748
[55] Neal Z.Does world city network research need eigenvectors?[J].Urban Studies,2013(8):1648-1659
[56] 赵梓渝,魏冶,庞瑞秋,等.基于人口省际流动的中国城市网络转变中心性与控制力研究——兼论递归理论用于城市网络研究的条件性[J].地理学报,2017(6):1032-1048
[57] 施炳展,张瑞恩.信息网络地位与产业结构升级[J].东北师大学报(哲学社会科学版),2024(3):55-69
[58] Semrau T,Werner A.How exactly do network relationships pay off? The effects of network size and relationship quality on access to start-up resources[J].Entrepreneurship Theory and Practice,2014(3):501-525
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