Main Findings: Buyout Mechanisms and Socioeconomic Disparities
The primary finding of this analysis is that municipal climate-disaster buyout frameworks systematically reproduce socioeconomic disparities by prioritizing capital investment and property ownership over equitable community welfare. When public planning agencies implement post-disaster adaptation strategies, conventional approaches centered on structural mitigation frequently catalyze resilience gentrification, wherein high redevelopment costs privatize adaptive benefits and effectively exclude lower-income residents (Gould & Lewis, 2021). By directly linking climate resilience to private real estate capital, these municipal post-disaster recovery interventions exacerbate housing inequality across vulnerable coastal neighborhoods and reinforce enduring cycles of climate injustice (Gould & Lewis, 2021). Evidence further indicates that managed retreat cannot achieve equitable social outcomes without directly confronting the historical and structural barriers that shape disaster vulnerability. Existing buyout programs routinely fail to incorporate transparent governance, community self-determination, and holistic metrics of collective well-being into institutional relocation planning (Siders et al., 2021). Furthermore, conventional adaptation initiatives consistently treat private property ownership as the principal benchmark for financial compensation, leaving tenant populations and non-homeowning residents largely neglected throughout retreat actions (Baker et al., 2021). Consequently, fragmented buyout implementations disrupt vital community support systems, dismantle existing social networks, and displace marginalized households into equally hazardous housing markets. To transform managed retreat into an effective mechanism for environmental justice, municipal decision-makers must replace market-driven property acquisitions with collaborative relocation policies that protect tenancy rights, preserve local cultural assets, and actively dismantle systemic inequities (Siders et al., 2021).