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Disaster Management System in Bangladesh

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  • A.K.M. Abdus Sabur

Abstract

Bangladesh and its people have been one of the worst victims of natural disasters from time immemorial. Conversely, facing and learning to live with natural disasters are equally an ancient preoccupation of Bangladeshi people. Disaster management in independent Bangladesh has undergone a complex process of development. While it received its impetus from concrete challenges faced at home, it also received inputs from developments, institutions and policies outside Bangladesh. In the process, Bangladesh has developed a workable system of disaster management that includes a set of mechanisms and processes, as well as a whole range of ways and means for the management of disasters. The article probes into the disaster management system in Bangladesh. In doing so, it begins with an overview of disasters in Bangladesh that helps explain the context of disaster management. The article studies the disaster management system in Bangladesh with a focus on concepts and theories, legal framework and institutional structure. On the basis of the above, an attempt is made to project an outlook for the future. Disaster and disaster management transcend and intersect national boundaries and geographical regions. Therefore, prevailing system of disaster management in Bangladesh could be of considerable importance to others involved in the same venture elsewhere in the world.

Suggested Citation

  • A.K.M. Abdus Sabur, 2012. "Disaster Management System in Bangladesh," India Quarterly: A Journal of International Affairs, , vol. 68(1), pages 29-47, March.
    • Handle: RePEc:sae:indqtr:v:68:y:2012:i:1:p:29-47
    DOI: 10.1177/097492841106800103
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    Cited by:

    1. Lili RONG & Peide LIU & Yanchang CHU, 2016. "Multiple Attribute Group Decision Making Methods Based on Intuitionistic Fuzzy Generalized Hamacher Aggregation Operator," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(2), pages 211-230.
    2. Hackl, Roman & Harvey, Simon, 2013. "Framework methodology for increased energy efficiency and renewable feedstock integration in industrial clusters," Applied Energy, Elsevier, vol. 112(C), pages 1500-1509.
    3. Cleary, Brendan & Duffy, Aidan & Bach, Bjarne & Vitina, Aisma & O’Connor, Alan & Conlon, Michael, 2016. "Estimating the electricity prices, generation costs and CO2 emissions of large scale wind energy exports from Ireland to Great Britain," Energy Policy, Elsevier, vol. 91(C), pages 38-48.
    4. Zuzana Kreckova, 2016. "Shared Value Projects Attractiveness for Corporations in Industrial Comparison," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 331-340, September.
    5. Donate, Mario J. & Sánchez de Pablo, Jesús D., 2015. "The role of knowledge-oriented leadership in knowledge management practices and innovation," Journal of Business Research, Elsevier, vol. 68(2), pages 360-370.
    6. Huang, Song & Guan, Xu & Xiao, Binqing, 2018. "Incentive provision for demand information acquisition in a dual-channel supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 42-58.
    7. Oguzhan Ece & Ahmet Serhat Uludag, 2017. "Applicability of Fuzzy TOPSIS Method in Optimal Portfolio Selection and an Application in BIST," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(10), pages 107-127, October.

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