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The Determinants of Subnational Public Spending Allocation for Disaster Risk Reduction in Bangladesh

Author

Listed:
  • Azreen Karim
  • Ilan Noy

Abstract

We examine the directly observable determinants of sub-national (central to local) public spending allocations for disaster risk reduction and climate adaptation in Bangladesh, a country with a very high exposure to weather risk. We use a comprehensive dataset for the 483 sub-districts (Upazilas) in Bangladesh, tracking disaster risk reduction and adaptation funding provided to each sub-district by the central government during fiscal years’ 2010-11 to 2013-14, disaggregated by the various types of social protection programs. We assess to what extent the primary determinants of such funding flows—such as current hazard risk, socio-economic vulnerability, and political economy considerations—contribute to these funding allocation decisions. We find that flood hazard risk and socio-economic vulnerability are both positively correlated with the sub-district fiscal allocations. We find that political factors do not seem to significantly correlate with these allocations and neither does proximity to the centres of Dhaka and Chittagong. Public spending for adaptive disaster risk reduction, as investigated here, can be a useful complementary intervention tool to other DRR programs, such as insurance or broader social transfers, provided that it is allocated rationally. Broadly, this appears to be the case in Bangladesh. We leave the measuring of the relative efficacy and efficiency of each financing tool for future work.

Suggested Citation

  • Azreen Karim & Ilan Noy, 2020. "The Determinants of Subnational Public Spending Allocation for Disaster Risk Reduction in Bangladesh," CESifo Working Paper Series 8066, CESifo.
  • Handle: RePEc:ces:ceswps:_8066
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    File URL: https://www.cesifo.org/DocDL/cesifo1_wp8066.pdf
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    Citations

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    Cited by:

    1. Capuno, Joseph & Corpuz, Jose & Lordemus, Samuel, 2024. "Natural disasters and local government finance: Evidence from Typhoon Haiyan," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 869-887.
    2. Ilan Noy & Toshihiro Okubo & Eric Strobl & Thomas Tveit, 2023. "The fiscal costs of earthquakes in Japan," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(5), pages 1225-1250, October.
    3. Jhorland Ayala‐García & Sandy Dall'Erba, 2022. "The impact of preemptive investment on natural disasters," Papers in Regional Science, Wiley Blackwell, vol. 101(5), pages 1087-1103, October.
    4. Shafiqul Islam & Khondker Mohammad Zobair & Cordia Chu & James C. R. Smart & Md Samsul Alam, 2021. "Do Political Economy Factors Influence Funding Allocations for Disaster Risk Reduction?," JRFM, MDPI, vol. 14(2), pages 1-20, February.
    5. Titl, Vitezslav & De Witte, Kristof & Geys, Benny, 2021. "Political donations, public procurement and government efficiency," World Development, Elsevier, vol. 148(C).
    6. Mogge, Lukas & McDonald, Morag & Knoth, Christian & Teickner, Henning & Purevtseren, Myagmartseren & Pebesma, Edzer & Kraehnert, Kati, 2023. "Allocation of humanitarian aid after a weather disaster," World Development, Elsevier, vol. 166(C).
    7. Jhorland Ayala-García & Sandy Dall’Erba, 2021. "The impact of preemptive investment on natural disasters," Documentos de trabajo sobre Economía Regional y Urbana 301, Banco de la Republica de Colombia.

    More about this item

    Keywords

    subnational public spending; disasters; risk reduction; adaptation; Bangladesh;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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