Time and Spatial Pressure, Crisis Policy Diffusion and Content Reproduction

• In Event: Student Research Panel on National Security and Disasters

Abstract

Public policies exhibit different diffusion patterns in normal and crisis situations. Under time and spatial pressure, policy diffusion is no longer a linear transmission process but involves varying degrees of iteration, adaptation, and renewal, leading to the reproduction of policy content across jurisdictions. Based on the theory of policy innovation diffusion and policy content reproduction, this paper develops an analytical framework of “time and spatial pressure–content reproduction”, integrating hierarchical pressure, competitive pressure, and temporal urgency to explain heterogeneous mechanisms of crisis policy diffusion and addressing the limited attention to spatio-temporal constraints in existing research.

Building on this framework, four modes of policy diffusion in crisis situations are identified: duplicate policy outbreak, self-adjusting policy outbreak, punctuated equilibrium policy diffusion, and autonomous learning regional diffusion. These modes reflect different configurations of time pressure and institutional pressures. Duplicate policy outbreak occurs under high temporal and hierarchical pressure, where local governments rapidly replicate higher-level policies with minimal innovation, producing fast but homogeneous diffusion. Self-adjusting policy outbreak arises under high temporal and competitive pressure, in which local governments modify policies according to local conditions, enabling adaptive reproduction of policy content. Punctuated equilibrium policy diffusion occurs under low temporal pressure but strong competitive pressure, characterized by intermittent inter-regional learning and stepwise policy adjustment. Autonomous learning regional diffusion emerges under low temporal and hierarchical pressure, where local governments engage in sustained learning and gradual policy refinement, forming relatively stable diffusion patterns. This typology clarifies how crisis policy diffusion varies under different pressure combinations.

Empirical results show that time and spatial pressures generate significant stage differences in policy diffusion. In the abnormal stage with high time pressure, policy diffusion exhibits rapid expansion. Under strong hierarchical pressure, local governments tend to replicate superior-level policies to ensure alignment with central objectives, forming standardized diffusion patterns. When competitive pressure dominates, local governments adjust and refine policies to improve local relevance and achieve functional reproduction of policy content.

In the normalization stage with reduced time pressure, local governments gain greater capacity for policy learning and adaptation. Under hierarchical pressure, diffusion evolves into a punctuated equilibrium pattern, characterized by alternating cycles of replication and adjustment. Under competitive pressure, local governments develop more proactive learning mechanisms, promoting continuous policy innovation and inter-regional diffusion.

This paper contributes in four ways. First, it proposes a “time and spatial pressure–content reproduction” framework, enriching the theoretical understanding of crisis policy diffusion. Second, it identifies four diffusion modes, expanding the typological system of policy diffusion under crisis conditions. Third, it provides policy implications: rapid replication is effective in early crisis stages, while adaptive and learning-based strategies are more suitable in later stages. Finally, it highlights the dual role of hierarchical and competitive pressures in shaping both diffusion speed and content transformation, offering insights into balancing central coordination and local flexibility.

Overall, this study integrates temporal urgency, spatial structure, and content transformation into a unified framework, offering a comprehensive explanation of crisis policy diffusion dynamics.

Author

• Shiming Zheng, Jinan University
  Presenting Author