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A Dynamic Decision Model of Technology Adoption under Uncertainty: Case of Herbicide-Resistant Rice

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  • Annou, Mamane M.
  • Wailes, Eric J.
  • Thomsen, Michael R.

Abstract

Herbicide-resistant (HR) rice technology is a potential tool for control of red rice in commercial rice production. Using an ex ante mathematical programming framework, this research presents an empirical analysis of HR rice technology adoption under uncertainty. The analysis accounts for stochastic germination of red rice and sheath blight to model a profit maximization problem of crop rotation among HR rice, regular rice, and soybeans. The results demonstrate that risk attitudes and technology efficiency determine adoption rates and optimal rotation patterns.

Suggested Citation

  • Annou, Mamane M. & Wailes, Eric J. & Thomsen, Michael R., 2005. "A Dynamic Decision Model of Technology Adoption under Uncertainty: Case of Herbicide-Resistant Rice," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 37(1), pages 161-172, April.
    • Handle: RePEc:cup:jagaec:v:37:y:2005:i:01:p:161-172_00
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    Cited by:

    1. Galli, Fabrizio & Naseem, Anwar & Singla, Rohit, 2012. "Welfare Effects of Herbicide-Tolerant Rice Adoption in Brazil," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126886, International Association of Agricultural Economists.
    2. Busdieker-Jesse, Nichole L. & Nogueira, Lia & Onal, Hayri & Bullock, David S., 2016. "The Economic Impact of New Technology Adoption on the U.S. Apple Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 41(3), pages 1-21, September.
    3. Lyman, Nathaniel & Nalley, Lawton Lanier, 2013. "Stochastic Valuation of Hybrid Rice Technology in Arkansas," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142505, Southern Agricultural Economics Association.

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