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Title	Digital Innovation Diffusion Of Local Government Under Public Crisis: An Event History Analysis Based On The City Brain
ID_Doc	20038
Authors	Liu Z.; Jiang C.; Jin H.; Zhang W.
Year	2025
Published	Cities, 160
DOI	http://dx.doi.org/10.1016/j.cities.2025.105811
Abstract	Recent public crises have introduced significant uncertainty to urban governance on a global scale. Digital innovations leveraging emerging technologies offer effective solutions to manage this uncertainty, leading to widespread adoption in urban governance. This study investigates the factors and mechanisms influencing the adoption and diffusion of the City Brain in the smart city initiatives of 337 cities in China. Utilizing event history analysis, we examine the diffusion characteristics of these innovations among local governments during the COVID-19 pandemic. Our findings indicate that approximately 73 % of the observed cities adopted this digital innovation, displaying an R-shaped diffusion pattern concurrent with the pandemic's spread. Cities with higher levels of digitalization, stronger financial resources and special administrative status were more likely to implement these innovations. Additionally, shifts in political incentives led to a reversed trend in adoption around the fifth year of local leaders' tenure. Early adoption was more prevalent in cities with severe epidemics, though this impact diminished as the epidemic stabilized. This study contributes to understanding the dynamics of digital innovation diffusion in urban governance during public crises. © 2025 Elsevier Ltd
Author Keywords	Innovation diffusion; Local government; Public crisis; Smart city

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