How Governance Failures Drive Recurrent Flood Disasters in Pakistan: A Diagnostic Policy Analysis of the 2025 Flood

Climate disasters are increasingly understood not as natural phenomena alone but as outcomes shaped by governance systems and institutional capacities. While existing scholarship has documented flood impacts and theorized governance deficits, few studies have traced the precise causal pathways through which institutional pathologies-fragmentation, spatial mismatch, and perverse incentives-produce recurrent disaster outcomes. This study addresses this gap by diagnosing the systemic governance failures that amplified the 2025 floods. Employing a Diagnostic Policy Analysis Framework for Recurrent Disasters through mixed-methods analysis of 27 official documents captured during the acute crisis phase, we demonstrate that the flood's magnitude resulted from three interconnected governance failures: (1) institutional fragmentation that crippled coordination and response; (2) spatial mismatch between uniform national policies and Pakistan's diverse hydro‑geographical regimes; and (3) perverse incentives that reward visible post‑disaster relief over proactive prevention. Our findings trace these failures to specific institutional mechanisms: irregularities in infrastructure contracting documented in audit reports, political interference in relief distribution, and the systematic disempowerment of district‑level disaster authorities. We further identify three transferable diagnostic pathways-fragmentation, spatial mismatch, and perverse incentives-that offer an analytical template for analyzing recurrent disasters in other complex governance contexts. The study concludes that building resilience requires confronting these specific institutional pathologies. For Pakistan, this means empowering district disaster authorities with mandated minimum budgets and evacuation authority under the NDMA Act, enforcing existing floodplain zoning regulations against politically connected developers, and restructuring disaster financing to pre‑position funds for pre‑emptive action triggered by meteorological forecasts.