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Non adoption of improved maize varieties in East Timor


  • Gregg, Daniel


East Timor formally obtained its independence in 2002 following a protracted period of occupation by Indonesia which ended in 1999. It was initially faced with a series of issues such as a low level of infrastructure, poor quality germplasm for the major staple crops, and being one of the world’s poorest nations (Piggin and Palmer, 2003). Many East Timorese experience annual periods of food shortage, sometimes exacerbated by droughts and pest damage (Piggin and Palmer, 2003). In response to a shortage of suitably adapted varieties for the major staple crops of East Timor, a project called Seeds of Life was developed in 2000 to locate and test local and international crop varieties with the aim of improving the germplasm stock in the country (Piggin and Palmer, 2003). Seeds of Life recruited willing farmers to participate in On-Farm Demonstration Trials (OFDTs) in 2006 which was hoped to result in independent replanting and seed dissemination by these participants to neighbouring farmers. Two international maize varieties were extended to participating farmers for trial – these were LYDMR (Late Yellow with Downy Mildew Resistance) and Suwan 5 (a popular Thai variety with Downy Mildew Resistance). Given the reported potential for the new varieties to increase farm maize yields, the self-selection of participants in the Seeds of Life program, and that the adoption process was only in its first phase, a significant proportion of non-adoption following OFDTs was observed (approximately 32% of participants). A survey conducted in 2007 provided data for the estimation of a binary probit regression model to assess the reasons for non-adoption. Results obtained corroborated the findings of Seeds of Life researchers prior to variety extension; yet initial testing of varieties did not explicitly involve the inclusion of factors that were considered likely to affect the utility of prospective adopters. Non-inclusion of factors relevant to household utility when assessing new crop varieties may lead to the selection of less than optimal varieties. Stochastic dominance methods are a potential solution to this issue allowing researchers to consider the impact of new crop varieties on household utility and thus adoption decisions prior to their extension. Stochastic dominance methods can be derived from the same utility maximisation framework as the probit regression model and easily incorporate non-normal distributions of returns. Their capabilities in assessing high numbers of potential innovations and their similarity in ease of application to existing methods such as mean-variance dominance analysis are also advantages. In this paper tests for stochastic dominance are retrospectively applied to the two introduced and the local maize varieties to demonstrate their application as a competitive and relevant ex ante technology assessment tool in developing countries.

Suggested Citation

  • Gregg, Daniel, 2009. "Non adoption of improved maize varieties in East Timor," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48159, Australian Agricultural and Resource Economics Society.
  • Handle: RePEc:ags:aare09:48159

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    References listed on IDEAS

    1. Graves, Samuel B. & Ringuest, Jeffrey L., 2009. "Probabilistic dominance criteria for comparing uncertain alternatives: A tutorial," Omega, Elsevier, vol. 37(2), pages 346-357, April.
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    5. McFadden, Daniel, 1980. "Econometric Models for Probabilistic Choice among Products," The Journal of Business, University of Chicago Press, vol. 53(3), pages 13-29, July.
    6. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
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    1. Schipmann, Christin & Qaim, Matin, 2009. "Modern Supply Chains and Product Innovation: How Can Smallholder Farmers Benefit?," 2009 Conference, August 16-22, 2009, Beijing, China 51046, International Association of Agricultural Economists.

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