The purpose of this paper is to inspect disaster risk reduction (DRR) challenges from a political economy (PE) perspective and to explore how PE determinants facilitate or hinder effective DRR in Bangladesh.
A qualitative case study, using semi-structured in-depth interviews, official documents and literature review has been conducted to explore the current process and practices of DRR in Bangladesh. The specific focus is on the distribution of public spending on flood shelters implemented by the Department of Disaster Management.
The study revealed a number of findings, including that the interest and incentives of influencing decision makers matter; formal and informal institutions have influence; and the values and ideas of dominating stakeholders’ impact on decisions regarding public spending of DRR in Bangladesh. These PE factors often hinder efficiency by leading to overlapping efforts and inefficient use of scarce resources. DRR planners and practitioners need to take steps to mitigate potential risks from PE processes in the allocations of DRR funding by implementing improved distribution arrangements.
Despite many successes in dealing with disasters, Bangladesh faces several challenges, including better governance of funds. DRR challenges can be considered as a problem of PE, which concerns the distribution of resources, and includes how powerful decision makers affect economic choices. Prior research examining the challenges in DRR-related funding distribution from a PE perspective is limited. Therefore, this study attempts to fill this gap in the literature by focusing on the situation in Bangladesh from this perspective. The authors elaborate how PE determinants can function as both barrier and opportunities on the ground in DRR-related fund distribution and in the selection of project locations and beneficiaries.
Islam, S., Chu, C., Liew, L. and Smart, J. (2019), "Distributing flood shelters for disaster risk reduction", Disaster Prevention and Management: An International Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/DPM-02-2019-0060Download as .RIS
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