Original
How Artificial Intelligence Facilitates Collaborative Governance? Research on Mechanisms and Multi‐Dimensional Effects Based on Triple Entities
Abstract
ABSTRACT Collaborative governance is becoming a practical imperative. At the same time, resolving complex public affairs could offer opportunities to overcome bottlenecks, while Artificial Intelligence (AI) could help. This study draws on polycentric governance theory and multilayer network theory to explain why collaborative governance could occur and how it could be influenced by AI, respectively. Mathematical deductions from both micro and macro perspectives are employed to reinforce this theoretical viewpoint. Using Chinese cities as a case study, the impact of AI on collaborative governance has been tested in practice, supported by benchmark regression and subsequent tests for endogeneity and robustness. Mechanism tests demonstrate AI's functions by advancing digital government, lifting corporate transparency, and improving public knowledge. Moreover, econometric evidence from difference‐in‐differences, threshold regressions, and spatial econometric models robustly addresses concerns about AI. This study offers a quantifiable multi‐stakeholder governance framework and actionable policy insights for China and the Global South.
中文
人工智能如何促进协同治理？——基于三元主体的机制与多维效应研究
摘要
协同治理正日益成为一项现实必需。同时，解决复杂的公共事务可能为克服瓶颈提供机会，而人工智能（AI）能够为此提供助力。本研究分别借鉴多中心治理理论与多层网络理论，解释协同治理为何能够发生以及它如何可能受到人工智能影响。研究采用微观与宏观层面的数学推导来强化这一理论观点。以中国城市为案例，人工智能对协同治理的影响在实践中得到检验，并通过基准回归以及随后的内生性与稳健性检验予以支持。机制检验表明，人工智能通过推进数字政府建设、提升企业透明度和改善公众知识来发挥作用。此外，来自双重差分、门槛回归和空间计量模型的经济计量证据，稳健地回应了关于人工智能的关切。本研究提供了一个可量化的多利益相关方治理框架，并为中国和全球南方提供了可操作的政策启示。
关键词
人工智能、协同治理、多中心治理、多层网络、中国城市、数字政府、企业透明度、公众知识