Sequential Adoption of Package Technologies: The Dynamics of Stacked Trait Corn Adoption

Ursula Aldana, Jeremy Foltz, Bradford L. Barham and Pilar Useche

No 61821, 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado from Agricultural and Applied Economics Association

Abstract: GM corn seed companies have innovated continuously with the introduction of new traits and, more recently, with the creation of stacked varieties, which combine more than one trait. This work develops a Bayesian model of adoption dynamics that demonstrates how uncertainty with a package technology with known risk can lead to a sequential adoption pattern in which farmers adopt a single component first. We then develop a semiparametric panel data model of adoption dynamics to measure the effects of experience with single trait (non-stacked) varieties on the adoption of stacked varieties. The results underscore the importance of early experience with the non-stacked technology in the subsequent adoption of stacked varieties, i.e., a sequential adoption process. There is also evidence that farmers with more human capital tend to learn faster from own experience and that as the GM corn-technology diffusion process deepens, the importance of early experience decreases.

Keywords: Crop; Production/Industries (search for similar items in EconPapers)
Pages: 41
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Related works:
Journal Article: Sequential Adoption of Package Technologies: The Dynamics of Stacked Trait Corn Adoption (2010)
Working Paper: The Sequential Adoption of Package Technologies: The Dynamics of Stacked Trait Corn Adoption (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaea10:61821

DOI: 10.22004/ag.econ.61821

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