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The impact of floods on the adoption rate of high‐yielding rice varieties in Bangladesh

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  • Jean‐Paul Azam

Abstract

This paper analyses econometrically the impact of floods on the rate of adoption of high‐yielding varieties (HYVs) of rice in Bangladesh. It uses a small model combining a modified logistic adoption function with a model of the process generating expectations errors by the farmers which encompasses most other expectation hypotheses. Using pooled cross‐section and time‐series data at the district level, the econometric results show a significant negative impact of expected flood damage on the HYV adoption rate of ‘aman’ rice. Moreover, it is shown that the adoption of HYV ‘boro’ rice is governed by essentially the same equation.

Suggested Citation

  • Jean‐Paul Azam, 1996. "The impact of floods on the adoption rate of high‐yielding rice varieties in Bangladesh," Agricultural Economics, International Association of Agricultural Economists, vol. 13(3), pages 179-189, February.
    • Handle: RePEc:bla:agecon:v:13:y:1996:i:3:p:179-189
    DOI: 10.1111/j.1574-0862.1996.tb00386.x
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    Cited by:

    1. Martine AUDIBERT, 2008. "Endemic diseases and agricultural productivity: Challenges and policy response," Working Papers 200823, CERDI.
    2. Zahidul Islam, K.M. & Sumelius, John & Bäckman, Stefan, 2012. "Do differences in technical efficiency explain the adoption rate of HYV rice? Evidence from Bangladesh," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(01), pages 1-18.
    3. Martine Audibert, 2011. "Endemic diseases and agricultural productivity: Challenges and policy response," CERDI Working papers halshs-00563389, HAL.
    4. Holloway, Garth & Shankar, Bhavani & Rahman, Sanzidur, 2002. "Bayesian spatial probit estimation: a primer and an application to HYV rice adoption," Agricultural Economics, Blackwell, vol. 27(3), pages 383-402, November.

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