Purpose This paper investigates the interplay between policy capacity dimensions and state-society co-production during crises. Through analysis of Hong Kong and Singapore’s COVID-19 management, it examines how variations in policy capacity configurations, particularly political and integration capacities, shaped societal engagement. Design/methodology/approach A comparative case study methodology analyzes Hong Kong and Singapore’s pandemic responses (2020-2022). This study uses secondary qualitative data, including government documents, academic research, news archives, and public health statistics, to compare policies and state-society interactions. Findings Both city-states possessed strong analytical and operational capacities, but outcomes differed based on political and integration capacities. Singapore leveraged high public trust and effective coordination for state-directed, high-compliance co-production (e.g., vaccination, contact tracing). Hong Kong, facing a trust deficit and coordination challenges, experienced fragmented co-production with mandated compliance alongside autonomous civil society action. Political and integration capacities critically determine the state’s ability to mobilize society and the resulting co-production modes. A reciprocal relationship exists between state actions, trust, and cooperation, influencing outcomes via feedback loops. Originality/value This study offers a nuanced analysis beyond state strength, showing how specific capacity dimensions (political/analytical/operational) shape crisis governance and co-production. It illuminates mechanisms linking capacity configurations to co-production forms and highlights the crucial roles of trust and policy coherence, providing insights for understanding crisis management and building resilient state-society relations.
Building similarity graph...
Analyzing shared references across papers
Loading...
Lei Shi
Xihan Dong
X. F. Wu
Public Administration and Policy
University of Hong Kong
Hong Kong University of Science and Technology
Macau University of Science and Technology
Building similarity graph...
Analyzing shared references across papers
Loading...
Shi et al. (Mon,) studied this question.
www.synapsesocial.com/papers/69df2c62e4eeef8a2a6b1783 — DOI: https://doi.org/10.1108/pap-11-2024-0180