Disaster management policy changes in Bangladesh: Drivers and factors of a shift from reactive to proactive approach

Abstract

In this paper, we argue that, while it is necessary to modify existing policy using the lessons learned from disaster events (i.e., reactive learning), this approach is insufficient on its own for dealing with ongoing and emerging climate‐induced disaster risks. Rather, we assert that policymakers must also adopt a proactive and anticipatory learning approach that would enable policy learning and policy evolution in the absence of a major disaster event. We examine drivers, actors, and processes of change in disaster‐management policy paradigms in Bangladesh. A longitudinal learning perspective is applied. We categorize disaster management (DM) policy regimes into three learning episodes: (i) reactive, (ii) transitional, and (iii) proactive. The roles of reactive and proactive learning in shifting DM policy paradigms within these learning episodes are particularly determined. Finally, five interrelated factors that triggered proactive policymaking are identified, which are: risk‐oriented policymaking; cross‐scale (i.e., lesson drawing and policy transfer) and cross‐level (i.e., from local, regional, and national experience) learning; participation of multiple stakeholders; research‐informed and knowledge‐based policymaking; and the presence of a strong advocacy group and a participatory policy process.

Coping with climate-related disasters: a case of a Green Farm Community experienced a flood

“…The vulnerability of this region to heavy rainfall, whether it be a natural occurrence or a consequence of mismanaged infrastructure, poses significant threats to local industry, agriculture, and the overall economy (Benso and Clay, 2004). Understanding the dynamics of such disaster-prone areas is imperative for devising effective strategies to mitigate the impact on communities and promote long-term resilience (Satilmis, 2023;Ghosh et al, 2023;Choudhury & Haque, 2024;Sari & Özer, 2024;Georgiadoua et al, 2024;Maake et al, 2024).…”