Federal Incentives and Local Actions: Policy Diffusion of Hazard Mitigation Planning in the United States

• In Event: Federalism, National Security, and Disasters

Abstract

Hazard mitigation planning is broadly recognized as a critical mechanism for enhancing resilience and minimizing the impacts of extreme weather. However, transforming national resilience goals into local actions remains a formidable governance challenge. In the United States, disaster management operates within a decentralized framework. Federal agencies, such as the Federal Emergency Management Agency (FEMA), lack direct authority to command local hazard planning, relying instead on financial incentives to drive policy adoption. Despite these incentives, the adoption trajectory across U.S. counties has been highly uneven. Local governments face severe cross-pressures, balancing public safety enhancements against immediate administrative burdens, constrained land-use development, and local political resistance.

This tension between federal objectives and local priorities exposes a significant gap. Historically, policy diffusion studies have concentrated on state-level adoptions or single-issue environmental initiatives. The horizontal diffusion mechanisms regarding specific federal hazard mitigation programs—namely FEMA-approved Local Hazard Mitigation Plans (LHMPs) and Hazard Mitigation Assistance (HMA) grants like the Hazard Mitigation Grant Program (HMGP) and Pre-Disaster Mitigation (PDM)—remain poorly understood. It is unclear how local jurisdictions navigate complex disaster risks while learning from the policy choices of their geographical neighbors.Drawing upon Internal Determinants and Regional Diffusion models, this study investigates three questions: (1) What internal jurisdictional characteristics drive local governments to voluntarily adopt LHMPs and secure HMGP or PDM funding? (2) How does horizontal policy diffusion, specifically the "neighboring effect", operate across adjacent local jurisdictions? (3) How do complex socio-economic dynamics, particularly neighborhood disadvantage versus affluence, shape a community's propensity to participate in these federal programs?

To answer these questions, this study employs a longitudinal, quantitative research design utilizing a panel dataset of 3,149 U.S. counties from 2000 to 2020, yielding over 66,000 observations. The time-to-event data of LHMP, HMGP, and PDM adoption is evaluated using a county-year Event History Analysis (EHA) Logit Model integrated with a Fixed Effect (FE) specification. To address spatial dependence confirmed by Moran’s I tests, Spatial Autoregressive Fixed-Effects (SARFE) and Spatial Autoregressive Error (SAER) models isolate genuine neighborhood spillover effects.

Empirical results confirm a profound "neighboring effect," indicating that counties are significantly more likely to adopt LHMPs, HMGP, and PDM projects if their geographical neighbors have already done so, emphasizing the value of regional collaboration. Second, robust governmental capacity and stronger democratic political support significantly increase the propensity to engage in these programs. Notably, while recent disaster experiences strongly drive LHMP and post-disaster HMGP adoption, they exhibit a weaker relationship with pre-disaster PDM due to its fixed annual funding structure.

Furthermore, the study uncovers counter-intuitive socio-economic patterns. Contrary to the assumption that resource-rich communities consistently lead policy innovation, counties with higher neighborhood disadvantage are significantly more proactive in adopting mitigation policies. This is likely driven by their heightened social vulnerability and a critical reliance on federal funding to offset local fiscal constraints. Conversely, neighborhood affluence negatively correlates with adoption, indicating potential policy complacency or competing land-use priorities. By unpacking these mechanisms, this research provides vital insights for bridging local actions with central resilience goals.

Author

• Ruixiang Xie, Huazhong University of Science and Technology
  Presenting Author