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

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  • Ursula Aldana
  • Jeremy D. Foltz
  • Bradford L. Barham
  • Pilar Useche

Abstract

Genetically modified corn seed companies have recently created stacked varieties which combine more than one trait. This work develops a Bayesian model that demonstrates how uncertainty with a package technology can lead to an adoption pattern in which farmers move from single trait to stacked varieties. We then develop a semi-parametric panel data estimation to measure the effects of experience on the adoption of stacked varieties. The results underscore the importance of early experience in the subsequent adoption of stacked varieties. There is also evidence that farmers with more human capital learn faster and that, as time evolves, the importance of early experience decreases. Copyright 2010, Oxford University Press.

Suggested Citation

  • Ursula Aldana & Jeremy D. Foltz & Bradford L. Barham & Pilar Useche, 2010. "Sequential Adoption of Package Technologies: The Dynamics of Stacked Trait Corn Adoption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(1), pages 130-143.
    • Handle: RePEc:oup:ajagec:v:93:y:2010:i:1:p:130-143
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    File URL: http://hdl.handle.net/10.1093/ajae/aaq112
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    Cited by:

    1. Rivas, José & Perea, José Manuel & De-Pablos-Heredero, Carmen & Angon, Elena & Barba, Cecilio & García, Antón, 2019. "Canonical correlation of technological innovation and performance in sheep's dairy farms: Selection of a set of indicators," Agricultural Systems, Elsevier, vol. 176(C).
    2. Antón García-Martínez & José Rivas-Rangel & Jaime Rangel-Quintos & José Antonio Espinosa & Cecilio Barba & Carmen De-Pablos-Heredero, 2016. "A Methodological Approach to Evaluate Livestock Innovations on Small-Scale Farms in Developing Countries," Future Internet, MDPI, vol. 8(2), pages 1-17, June.
    3. Khushbu Mishra & Abdoul G. Sam & Gracious M. Diiro & Mario J. Miranda, 2020. "Gender and the dynamics of technology adoption: Empirical evidence from a household‐level panel data," Agricultural Economics, International Association of Agricultural Economists, vol. 51(6), pages 857-870, November.
    4. Nathan D. DeLay & Nathanael M. Thompson & James R. Mintert, 2022. "Precision agriculture technology adoption and technical efficiency," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 195-219, February.
    5. Ngulube, James, "undated". "An economic evaluation of the Cotton Yield Programme in Zambia," Research Theses 276440, Collaborative Masters Program in Agricultural and Applied Economics.
    6. Caroline Roussy & Aude Ridier & Karim Chaïb, 2014. "Adoption d’innovations par les agriculteurs : rôle des perceptions et des préférences," Post-Print hal-01123427, HAL.
    7. Waters, James, 2013. "The influence of information sources on inter- and intra-firm diffusion: evidence from UK farming," MPRA Paper 50955, University Library of Munich, Germany.
    8. Ariel Singerman & Pilar Useche, 2019. "The Role of Strategic Uncertainty in Area-wide Pest Management Decisions of Florida Citrus Growers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(4), pages 991-1011.
    9. Jeremy Foltz & Ursula Aldana & Paul Laris, 2014. "The Sahel's Silent Maize Revolution: Analyzing Maize Productivity in Mali at the Farm Level," NBER Chapters, in: African Successes, Volume IV: Sustainable Growth, pages 111-136, National Bureau of Economic Research, Inc.

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