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Sustainable Adaptation to Multiple Water Risks in Agriculture: Evidence from Bangladesh

Author

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  • Moinul Islam

    (Urban Institute, Kyushu University, 744 Motooka, Nishiku, Fukuoka 819-0395, Japan)

  • Shunsuke Managi

    (Urban Institute, Kyushu University, 744 Motooka, Nishiku, Fukuoka 819-0395, Japan
    Departments of Urban and Environmental Engineering, Kyushu University, 744 Motooka, Nishi-ku, Fukuoka 819-0395, Japan
    QUT Business School, Queensland University of Technology, Level 8, Z Block, Gardens Point, 2 George St, Brisbane, QLD 4000, Australia)

Abstract

Water is the most important input for agricultural production. Smallholder agriculture in Bangladesh is highly dependent on the natural water supply and is prone to water risks. Farmers in Bangladesh are facing major challenges from flooding, arsenic contamination, and other water stress. This research aims to understand how smallholder agriculture in Bangladesh adapts to the multiple water risks by crop selection. By using the panel data model, we identify that crop selection is a sustainable tool to adapt to the water risks in Bangladesh. Flood risk guides farmers to cultivate flood-tolerant monsoon season rice, wheat, and sugarcane in the high-risk areas. Natural arsenic contamination stops them from producing rice in the arsenic contaminated land to avoid the grain toxicity effect on human health. Extreme rainfall and temperature events also influence the crop selection decision. These crop choice techniques reduce the crop damages in smallholder agriculture in Bangladesh.

Suggested Citation

  • Moinul Islam & Shunsuke Managi, 2018. "Sustainable Adaptation to Multiple Water Risks in Agriculture: Evidence from Bangladesh," Sustainability, MDPI, vol. 10(6), pages 1-15, May.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1734-:d:149021
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    References listed on IDEAS

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    2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    3. Wolfram Schlenker & W. Michael Hanemann & Anthony C. Fisher, 2006. "The Impact of Global Warming on U.S. Agriculture: An Econometric Analysis of Optimal Growing Conditions," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 113-125, February.
    4. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    5. International Monetary Fund, 2004. "Risk Instability and the Pattern of Foreign Direct Investment in the Middle East and North Africa Region," IMF Working Papers 2004/139, International Monetary Fund.
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    Cited by:

    1. Krzysztof Kud, 2018. "Biomasa lak legowych jako integrator polityki energetycznej, przestrzennej oraz wodnej (Biomass of riparian meadows as an integrator of energy policy, spatial and water)," Research Reports, University of Warsaw, Faculty of Management, vol. 2(28), pages 80-89.
    2. Md Lamiur Raihan & Kenichiro Onitsuka & Mrittika Basu & Natsuki Shimizu & Satoshi Hoshino, 2020. "Rapid Emergence and Increasing Risks of Hailstorms: A Potential Threat to Sustainable Agriculture in Northern Bangladesh," Sustainability, MDPI, vol. 12(12), pages 1-18, June.

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