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AbstractThis article explores the effects of city managers' career paths on the diffusion of climate policy innovation among municipal governments in the United States. Using the agent network diffusion (AND) model, the authors hypothesize that local climate policy innovations are portable and that cities may learn from distant jurisdictions to which they are connected through the career paths of managers, a phenomenon termed the "policy wormhole" effect. Employing a dyadic panel data set of more than 400 Florida cities from 2005 to 2010, these hypotheses are tested using dyadic event history analysis. The results support both the portable innovation hypothesis and the policy wormhole hypothesis. Cities can facilitate the diffusion of policy innovations by paying special attention to the recruitment process of city managers.

In response to the increasing attention paid to environmental governance and leadership mobility, this study explores the interactions between leadership mobility and environmental governance performance. From the perspective of networks, this study aims to determine whether leadership mobility networks shape environmental governance outcomes. We argue that leadership transfer networks affect local water governance performance, which is particularly evident when leadership mobility occurs between cities with similar institutional environments. We collected managers' career data and water governance performance from forty-one cities located in the Pan-Yangtze River Delta region in China from 2011 to 2015. Methodologically, we employ spatial temporal autoregressive models to test the hypotheses and confirm the effects of the leadership transfer network on the homogeneity of water governance performance across the region. Theoretically, this study advances the institutional collective action framework in regional water governance by providing supplementary mechanisms from the perspective of agent network diffusion.

AbstractThe expectancy‐disconfirmation model has become the predominant approach in explaining citizen satisfaction with public services. It posits that citizens compare the performance of a service against their expectations of that service. Satisfaction occurs if the perceived performance meets or exceeds the expectations. We provide the first meta‐analysis of the empirical evidence on this relationship, and find that the model is supported across studies. However, our meta‐analysis also indicates that research design choices affect the results and that the scope of public services examined is not comprehensive. We make best practice recommendations for future research to improve the measurement of citizen satisfaction.

AbstractTo better understand citizen satisfaction with public services, public administration research has adopted the expectancy‐disconfirmation model in recent years. This model proposes that satisfaction is a function of perceived performance and expectations. Recent quantitative and experimental studies of the expectancy‐disconfirmation model have supported the framework. However, few replications have been conducted and none outside western contexts. We conducted two narrow, robust experimental replications of Van Ryzin (2013, Journal of Policy Analysis and Management, 32(3), pp. 597–614) in the Chinese cities of Hong Kong (in 2017) and Shenzhen (in 2021). We found support for the findings reported in Van Ryzin (2013) and concluded that the expectancy‐disconfirmation model holds promise in a variety of settings as a framework for measuring citizen satisfaction with public services.