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Floodplain Residents' Preferences for Water Level Management Options in Flood Control Projects in Bangladesh

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  • Harun Rasid
  • Wolfgang Haider

Abstract

A maximum difference conjoint (MDC) model was part of a questionnaire toassess floodplain residents' preferences for the outcomes of water level managementinside an enclosed embankment system on the left bank of the Dhaleswari River, calledthe Compartmentalization Pilot Project (CPP)-Tangail. The outcomes were described as(a) varied flood depths in the rice field, (b) incidence of flooding on the courtyard andinside homes, (c) changes in floodplain and culture fisheries, and (d) varied conditionsof drainage congestion. Following a standard survey, the respondents from inside andoutside a completed section of the compartment (Cluster 1b) were shown profiles of these flood management outcomes and were asked to indicate for each profile the one most preferred and the one least preferred item. The results of the study indicated that the respondents had a clear preference for preventing flooding of their homes and courtyards and for an ideal water depth of 2 ft in the aman rice fields. At the same time, they also showed a strong concern about malfunctioning of sluices and to a lesser extent about the changes in the fish habitat. The successful application of the MDC as an approach to model tradeoffs among rural residents of Bangladesh shows that a relatively complex quantitative survey method, incorporating choice cards as pictograms, can be applied successfully even in a developing country. Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • Harun Rasid & Wolfgang Haider, 2003. "Floodplain Residents' Preferences for Water Level Management Options in Flood Control Projects in Bangladesh," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 28(1), pages 101-129, January.
    • Handle: RePEc:spr:nathaz:v:28:y:2003:i:1:p:101-129
    DOI: 10.1023/A:1021125916304
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    References listed on IDEAS

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    1. Blamey, Russell K. & Gordon, Jenny & Chapman, Ross, 1999. "Choice modelling: assessing the environmental values of water supply options," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(3), pages 1-21, September.
    2. Emdad Haque, C. & Zaman, M. Q., 1993. "Human responses to riverine hazards in Bangladesh: A proposal for sustainable floodplain development," World Development, Elsevier, vol. 21(1), pages 93-107, January.
    3. Paul, Bimal Kanti, 1995. "Farmers' Responses to the Flood Action Plan (FAP) of Bangladesh: An empirical study," World Development, Elsevier, vol. 23(2), pages 299-309, February.
    4. Chambers, Robert, 1994. "The origins and practice of participatory rural appraisal," World Development, Elsevier, vol. 22(7), pages 953-969, July.
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    1. Schaafsma, M. & van Beukering, P.J.H. & Oskolokaite, I., 2017. "Combining focus group discussions and choice experiments for economic valuation of peatland restoration: A case study in Central Kalimantan, Indonesia," Ecosystem Services, Elsevier, vol. 27(PA), pages 150-160.
    2. Shitangsu Paul & Jayant Routray, 2011. "Household response to cyclone and induced surge in coastal Bangladesh: coping strategies and explanatory variables," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 57(2), pages 477-499, May.
    3. Roy Brouwer & Sonia Akter & Luke Brander & Enamul Haque, 2007. "Socioeconomic Vulnerability and Adaptation to Environmental Risk: A Case Study of Climate Change and Flooding in Bangladesh," Risk Analysis, John Wiley & Sons, vol. 27(2), pages 313-326, April.
    4. Hasan, Mohammad Monirul, 2014. "Climate change induced marginality: Households’ vulnerability in the meal consumption frequencies," MPRA Paper 88047, University Library of Munich, Germany.

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