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

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  • Azam, Jean-Paul

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.
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Suggested Citation

  • Azam, Jean-Paul, 1996. "The impact of floods on the adoption rate of high-yielding rice varieties in Bangladesh," Agricultural Economics, Blackwell, vol. 13(3), pages 179-189, February.
    • Handle: RePEc:eee:agecon:v:13:y:1996:i:3:p:179-189
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    1. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
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    3. Bera, Anil K. & Kelley, Timothy G., 1990. "Adoption of high yielding rice varieties in Bangladesh : An econometric analysis," Journal of Development Economics, Elsevier, vol. 33(2), pages 263-285, October.
    4. Ashok Parikh, 1989. "Environmental risk, credit and technological diffusion in Bangladesh," Journal of International Development, John Wiley & Sons, Ltd., vol. 1(2), pages 197-216, April.
    5. Stein, Jerome L, 1981. "Monetarist, Keynesian, and New Classical Economics," American Economic Review, American Economic Association, vol. 71(2), pages 139-144, May.
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    Cited by:

    1. Martine AUDIBERT, 2008. "Endemic diseases and agricultural productivity: Challenges and policy response," Working Papers 200823, CERDI.
    2. Martine Audibert, 2011. "Endemic diseases and agricultural productivity: Challenges and policy response," CERDI Working papers halshs-00563389, HAL.
    3. 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.
    4. 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.

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