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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.

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  • 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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    1. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
    2. Stoneman, P, 1981. "Intra-Firm Diffusion, Bayesian Learning and Profitability," Economic Journal, Royal Economic Society, vol. 91(362), pages 375-388, June.
    3. Jeremy D. Foltz & Hsiu-Hui Chang, 2002. "The Adoption and Profitability of rbST on Connecticut Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1021-1032.
    4. Diansheng Dong & Atanu Saha, 1998. "He came, he saw, (and) he waited: an empirical analysis of inertia in technology adoption," Applied Economics, Taylor & Francis Journals, vol. 30(7), pages 893-905.
    5. Derek Byerlee & Edith Hesse de Polanco, 1986. "Farmers' Stepwise Adoption of Technological Packages: Evidence from the Mexican Altiplano," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(3), pages 519-527.
    6. Barham, Bradford & Carter, Michael R. & Sigelko, Wayne, 1995. "Agro-export production and peasant land access: Examining the dynamic between adoption and accumulation," Journal of Development Economics, Elsevier, vol. 46(1), pages 85-107, February.
    7. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, July.
    8. Madhu Khanna, 2001. "Sequential Adoption of Site-Specific Technologies and its Implications for Nitrogen Productivity: A Double Selectivity Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 35-51.
    9. Meyer, Jack, 1987. "Two-moment Decision Models and Expected Utility Maximization," American Economic Review, American Economic Association, vol. 77(3), pages 421-430, June.
    10. Robert K. Lindner & Philip G. Pardey & Frank G. Jarrett, 1982. "Distance To Information Source And The Time Lag To Early Adoption Of Trace Element Fertilisers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 26(2), pages 98-113, August.
    11. Magnac, Thierry, 2000. "Subsidised Training and Youth Employment: Distinguishing Unobserved Heterogeneity from State Dependence in Labour Market Histories," Economic Journal, Royal Economic Society, vol. 110(466), pages 805-837, October.
    12. Bernard Hategekimana & Michael Trant, 2002. "Adoption and Diffusion of New Technology in Agriculture: Genetically Modified Corn and Soybeans," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 50(4), pages 357-371, December.
    13. Carletto, Calogero & de Janvry, Alain & Sadoulet, Elisabeth, 1999. "Sustainability in the Diffusion of Innovations: Smallholder Nontraditional Agro-Exports in Guatemala," Economic Development and Cultural Change, University of Chicago Press, vol. 47(2), pages 345-369, January.
    14. Fernandez-Cornejo, Jorge & Daberkow, Stan G. & McBride, William D., 2001. "Decomposing The Size Effect On The Adoption Of Innovations: Agrobiotechnology And Precision Farming," 2001 Annual meeting, August 5-8, Chicago, IL 20527, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. R.K. Lindner & P.G. Pardey & F.G. Jarrett, 1982. "Distance to Information and the Time Lag to Early Adoption of Trace Element Fertilizers," School of Economics and Public Policy Working Papers 1982-02, University of Adelaide, School of Economics and Public Policy.
    16. Fernandez-Cornejo, Jorge & Alexander, Corinne & Goodhue, Rachael E., 2002. "Dynamic Diffusion with Disadoption: The Case of Crop Biotechnology in the USA," Agricultural and Resource Economics Review, Cambridge University Press, vol. 31(1), pages 112-126, April.
    17. Bryan J. Hubbell & Michele C. Marra & Gerald A. Carlson, 2000. "Estimating the Demand for a New Technology: Bt Cotton and Insecticide Policies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(1), pages 118-132.
    18. Howard D. Leathers & Melinda Smale, 1991. "A Bayesian Approach to Explaining Sequential Adoption of Components of a Technological Package," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 734-742.
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    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Ngulube, James, 2017. "An economic evaluation of the Cotton Yield Programme in Zambia," Research Theses 276440, Collaborative Masters Program in Agricultural and Applied Economics.
    7. Caroline Roussy & Aude Ridier & Karim Chaïb, 2014. "Adoption d’innovations par les agriculteurs : rôle des perceptions et des préférences," Post-Print hal-01123427, HAL.
    8. 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.
    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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