Temporal Dynamics of Urban Governance: Assessing the Impact of Policy Interventions on Sustainable City Development and Economic Growth of Developed Countries

ABSTRACT The dynamics concerned with governance and policies significantly influence the sustainability outcomes, climate resilience, and long‐run economic performance. Nevertheless, much of the literature to date is based on either a static or cross‐sectional approach that cannot capture the delayed policy impacts, time feedback, and changing interdependencies between the economic, environmental, and institutional processes. To close this gap, this study analyzes the dynamic association between the governance and policy capacity, sustainability performance, climate resilience, and economic growth in the United States based on annual data between 1990 and 2023. In order to operationalize these multidimensional ideas, the study constructs composite indices based on principal component analysis (PCA) and inputs them into a vector autoregression (VAR) structure. Empirical analysis is supplemented with Granger causality tests, impulse response functions, forecast error variance decomposition, and forecasting analyses. This amalgamated framework is used to investigate the dynamic interdependence and adjustment trajectories, and also minimize the dimensionality in an environment with a small annual dataset. The results reveal that there are statistically significant predictive relations between the governance‐related dynamics, the resilience conditions, the sustainability performance, and the economic growth. The short‐run coefficients tend to be weak, that is, the impacts of any change that comes with governance and resilience are more evident in the dynamic and cumulative adjustment processes than through direct and contemporaneous relationships. The outcome of the impulse response and variance decomposition indicates further that the shocks pertaining to governance capacity and resilience are associated with sustainability and growth dynamics in the long‐term perspective, and sustainability indicators indicators exhibit substantial persistence. On the whole, the analysis reveals that the sustainability paths are influenced by the delayed and cumulative interactions between the governance‐, resilience‐, and growth‐related processes in lieu of immediate policy impacts. This study contributes methodologically by combining dimensionality reduction with dynamic time‐series analysis. It has empirical evidence is based on data from the United States and should therefore be interpreted as evidence from a single country case study and should not be genralized to all developed economises.