Intergovernmental collaboration networks, digital infrastructure, and urban resilience: An analysis of heterogeneous effects based on China's three major urban agglomerations

  • LI Zhi-chao ,
  • WU Kai-rong
Expand

Received date: 2026-03-08

  Revised date: 2026-04-16

  Online published: 2026-08-24

Abstract

To examine how intergovernmental collaboration affects urban resilience, its distributional outcomes, and the role of digital infrastructure, this study uses a ten-year panel (2010—2019) and 603 cooperation agreements from the Yangtze River Delta, Beijing-Tianjin-Hebei, and Pearl River Delta urban agglomerations. It constructs a two-layer, five-dimensional resilience index covering functional performance and governance support, and conducts empirical analyses through social network analysis and two-way fixed-effects models. Results show that collaboration significantly improves resilience and helps cities approach the annual benchmark; network centrality raises resilience and narrows the benchmark gap. Digital infrastructure strengthens the catch-up effect of collaboration and the structural returns to central positions, but its effectiveness depends on its fit with the collaboration network. The Yangtze River Delta's high-intensity, low-concentration polycentric network shows stronger compatibility and resilience effects. Resilience governance should coordinate collaboration intensity, network structure, and digital infrastructure to improve the conversion and balanced distribution of collaborative benefits.

Cite this article

LI Zhi-chao , WU Kai-rong . Intergovernmental collaboration networks, digital infrastructure, and urban resilience: An analysis of heterogeneous effects based on China's three major urban agglomerations[J]. Urban Problems, 2026 , 369(4) : 44 -56 . DOI: 10.13239/j.bjsshkxy.cswt.260404

References

[1] 张海波. 中国应急管理的适应性:理论内涵与生成机理[J]. 理论与改革,2022(4):99-113,167
[2] 钟开斌,薛澜. 中国特色应急管理理论研究的基本图谱[J]. 中国社会科学,2025(1):47-67,205
[3] 中华人民共和国国民经济和社会发展第十五个五年规划纲要[N]. 人民日报,2026-3-14(1)
[4] 李强. 政府工作报告——2025年3月5日在第十四届全国人民代表大会第三次会议上的报告[R]. 中华人民共和国国务院公报,2025(9):4-17
[5] 锁利铭,李雪. 从“单一边界”到“多重边界”的区域公共事务治理——基于对长三角大气污染防治合作的观察[J]. 中国行政管理,2021(2):92-100
[6] 周黎安. “官场+市场”与中国增长故事[J]. 社会,2018(2):1-45
[7] 姚洋,张牧扬. 官员绩效与晋升锦标赛——来自城市数据的证据[J]. 经济研究,2013(1):137-150
[8] 李智超,李奕霖. 横向合作与纵向干预:府际合作如何影响环境治理?——基于三城市群的比较研究[J]. 公共管理与政策评论,2022(6):36-48
[9] 鲍静,贾开. 数字治理体系和治理能力现代化研究:原则、框架与要素[J]. 政治学研究,2019(3):23-32,125-126
[10] Gil-Garcia J R, Dawes S S, Pardo T A. Digital government and public management research: Finding the crossroads[J]. Public Management Review, 2018(5): 633-646
[11] 赵涛,张智,梁上坤. 数字经济、创业活跃度与高质量发展——来自中国城市的经验证据[J]. 管理世界,2020(10):65-76
[12] 盛斌,刘宇英. 中国数字经济发展指数的测度与空间分异特征研究[J]. 南京社会科学,2022(1):43-54
[13] Meerow S, Newell J P, Stults M.Defining urban resilience: A review[J]. Landscape and Urban Planning, 2016, 147: 38-49
[14] 仇保兴. 基于复杂适应系统理论的韧性城市设计方法及原则[J]. 城市发展研究,2018(10):1-3
[15] 范维澄. 以安全韧性城市建设推进公共安全治理现代化[J]. 人民论坛·学术前沿,2022(Z1):14-24
[16] 林雪,张海波. 城市系统的软实力:地方政府韧性能力概念框架的构建[J]. 行政论坛,2020(5):88-94
[17] 易承志,黄子琪. 风险情境下城市韧性治理的逻辑与进路——一个系统的分析框架[J]. 理论探讨,2023(1):78-86
[18] 李智超,张迎新. 政府数据治理机构何以提升城市韧性——基于组建方式与隶属关系的实证分析[J]. 广州大学学报(社会科学版),2023(6):61-77
[19] Liu W, Yi H.Policy diffusion through leadership transfer networks: Direct or indirect connections?[J]. Governance, 2023(2): 359-378
[20] Ostrom E.Collective action and the evolution of social norms[J]. Journal of Economic Perspectives, 2000(3): 137-158
[21] Feiock R C, Krause R M, Hawkins C V.The impact of administrative structure on the ability of city governments to overcome functional collective action dilemmas[J]. Journal of Public Administration Research and Theory, 2017(4): 615-628
[22] 王佃利,王玉龙,苟晓曼. 区域公共物品视角下的城市群合作治理机制研究[J]. 中国行政管理,2015(9):6-12
[23] 郑石明,黄淑芳. 纵向干预与横向合作:塑造区域环境协同治理网络——一个超大城市群的治理实践[J]. 湖南社会科学,2022(4):61-70
[24] 朱莉,曹杰. 城市群应急资源协调调配的超网络结构研究[J]. 管理评论,2015(7):207-217
[25] 胡税根,杨竞楠,王献波,等. 长三角地区营商环境府际协作网络的影响因素研究[J]. 科研管理,2025(7):70-80
[26] 王特,张荣杰,孙涛. 数字基础设施赋能政府治理——来自智慧城市试点的经验证据[J]. 财经问题研究,2025(12):99-114
[27] 康伟,牛世鹏. 区域政务服务数字化协同何以实现——基于“湾事通”综合服务平台的案例分析[J]. 上海行政学院学报,2026(1):64-74
[28] 贺林波,邓书彬,李赛君. 地方政府产业扶贫:合作质量与网络结构——基于自我中心网的理论视角[J]. 华东经济管理,2019(6):45-53
[29] 温雪梅. 制度安排与关系网络:理解区域环境府际协作治理的一个分析框架[J]. 公共管理与政策评论,2020(4):40-51
[30] 张海波,陶志刚. 公共卫生事件应急管理中政府部门间合作网络的变化[J]. 武汉大学学报(哲学社会科学版),2021(4):114-126
[31] Provan K G, Kenis P.Modes of network governance: Structure, management, and effectiveness[J]. Journal of Public Administration Research and Theory, 2008(2): 229-252
[32] Lubell M.Governing institutional complexity: The ecology of games framework[J]. Policy Studies Journal, 2013(3): 537-559
[33] Hao M G, Xu S C, Meng X N, et al.How does the digital economy affect the provincial "zero-waste city" construction? Evidence from China[J]. Environmental Science and Pollution Research, 2024(12): 18448-18464
[34] Burt R S.The network structure of social capital[J]. Research in Organizational Behavior, 2000, 22: 345-423
[35] Powell W W, White D R, Koput K W, et al.Network dynamics and field evolution: The growth of interorganizational collaboration in the life sciences[J]. American Journal of Sociology, 2005(4): 1132-1205
[36] 黄璜. 数字政府:政策、特征与概念[J]. 治理研究,2020(3):6-15,2
[37] 陈梦根,周元任. 数字不平等研究新进展[J]. 经济学动态,2022(4):123-139
[38] 刘敏,朱亚鹏,肖霞,等. 公共数据开放如何提升城市韧性——基于城市政府治理和营商环境的视角[J]. 公共管理与政策评论,2025(5):18-39
[39] Wardekker A, Wilk B, Brown V, et al.A diagnostic tool for supporting policymaking on urban resilience[J]. Cities, 2020, 101: 102691
[40] Negre C F A, Morzan U N, Hendrickson H P, et al. Eigenvector centrality for characterization of protein allosteric pathways[J]. Proceedings of the National Academy of Sciences, 2018(52): E12201-E12208
[41] 陶长琪,丁煜. 数字经济政策如何影响制造业企业创新——基于适宜性供给的视角[J]. 当代财经,2022(3):16-27
[42] 毛丰付,郑好青,王海. 数字基础设施与企业技术创新——来自地方政府政策文本的新证据[J]. 浙江学刊,2022(6):104-114
[43] 央广网. 打通数字空间“断头路” 全国首个跨省域智慧大脑正式上线运行[EB/OL]. (2023-01-29)[2026-01-28]. https://www.cnr.cn/shanghai/tt/20230129/t20230129_526138622.shtml
Outlines

/

〈 〉