IDEAS home Printed from https://ideas.repec.org/a/bla/jageco/v73y2022i1p277-300.html
   My bibliography  Save this article

Revisiting multi‐stage models for upstream technology adoption: Evidence from rapid generation advance in rice breeding

Author

Listed:
  • Bert Lenaerts
  • Yann de Mey
  • Matty Demont

Abstract

Adoption of new plant varieties has played a significant role in eradicating global hunger. Previous research has mainly focused on farmer adoption and impact of new crop varieties, although upstream adoption of technologies in plant breeding can generate substantial multiplier effects on downstream impacts. This study moves upstream in the innovation system to generate policy advice on adoption and transfer of accelerated rice breeding technologies. More specifically, we assess the determinants of global adoption of rapid generation advance (RGA) through a sample of 158 rice breeders operating in various research institutes worldwide. Moving upstream in the innovation system has important theoretical and empirical implications due to the smaller number of decision‐making units in the adoption process and the increasing role of institutional and managerial factors that may overrule individual adoption motivations. We revisit multi‐stage models and devise the most robust estimation method that can be used in this situation. To generate insights on the impact of individual versus institutional adopter characteristics on upstream technology adoption, we juxtapose the response curves of the determinants of RGA adoption in rice breeding among alternative adoption stages, levels of conditionality and model specifications. Our findings confirm the importance of institutional and managerial factors and suggest that adoption and transfer of breeding technologies require breeding institutes to provide an enabling environment in which breeders are encouraged to take risks and are given sufficient freedom to experiment with and implement new technologies.

Suggested Citation

  • Bert Lenaerts & Yann de Mey & Matty Demont, 2022. "Revisiting multi‐stage models for upstream technology adoption: Evidence from rapid generation advance in rice breeding," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 277-300, February.
    • Handle: RePEc:bla:jageco:v:73:y:2022:i:1:p:277-300
    DOI: 10.1111/1477-9552.12450
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1477-9552.12450
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1477-9552.12450?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Patrick Puhani, 2000. "The Heckman Correction for Sample Selection and Its Critique," Journal of Economic Surveys, Wiley Blackwell, vol. 14(1), pages 53-68, February.
    2. Gine, Xavier & Klonner, Stefan, 2005. "Credit constraints as a barrier to technology adoption by the poor : lessons from South Indian small-scale fishery," Policy Research Working Paper Series 3665, The World Bank.
    3. Lorenzo Cappellari & Stephen P. Jenkins, 2006. "Calculation of multivariate normal probabilities by simulation, with applications to maximum simulated likelihood estimation," Stata Journal, StataCorp LP, vol. 6(2), pages 156-189, June.
    4. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.
    5. Bardsley, Peter, 1999. "The optimal management of research portfolios," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 43(3), pages 1-13, September.
    6. Hubbell, Bryan J. & Marra, Michele C. & Carlson, Gerald A., 2000. "Estimating The Demand For A New Technology: Bt Cotton And Insecticide Policies In The Southeast," Transitions in Agbiotech: Economics of Strategy and Policy, June 24-25, 1999, Washington, D.C. 26016, Regional Research Project NE-165 Private Strategies, Public Policies, and Food System Performance.
    7. Hartman, Raymond S, 1991. "A Monte Carlo Analysis of Alternative Estimators in Models Involving Selectivity," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 41-49, January.
    8. David Pannell & David Zilberman, 2020. "Understanding Adoption of Innovations and Behavior Change to Improve Agricultural Policy," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 3-7, March.
    9. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    10. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, April.
    11. Sunding, David & Zilberman, David, 2001. "The agricultural innovation process: Research and technology adoption in a changing agricultural sector," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 4, pages 207-261, Elsevier.
    12. Madden, David, 2008. "Sample selection versus two-part models revisited: The case of female smoking and drinking," Journal of Health Economics, Elsevier, vol. 27(2), pages 300-307, March.
    13. Matin Qaim & Alain de Janvry, 2003. "Genetically Modified Crops, Corporate Pricing Strategies, and Farmers' Adoption: The Case of Bt Cotton in Argentina," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 814-828.
    14. Jensen, Kimberly L. & Lambert, Dayton M. & Clark, Christopher D. & Holt, Caroline & English, Burton C. & Larson, James A. & Yu, T. Edward & Hellwinckel, Chad, 2015. "Cattle Producers’ Willingness To Adopt Or Expand Prescribed Grazing In The United States," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 47(2), pages 213-242, May.
    15. Cooper, Joseph C., 1997. "Combining Actual And Contingent Behavior Data To Model Farmer Adoption Of Water Quality Protection Practices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(1), pages 1-14, July.
    16. 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.
    17. Madhu Khanna & Jordan Louviere & Xi Yang, 2017. "Motivations to grow energy crops: the role of crop and contract attributes," Agricultural Economics, International Association of Agricultural Economists, vol. 48(3), pages 263-277, May.
    18. Julia Bailey-Serres & Jane E. Parker & Elizabeth A. Ainsworth & Giles E. D. Oldroyd & Julian I. Schroeder, 2019. "Genetic strategies for improving crop yields," Nature, Nature, vol. 575(7781), pages 109-118, November.
    19. Rodolfo Hoffmann & Ana Lucia Kassouf, 2005. "Deriving conditional and unconditional marginal effects in log earnings equations estimated by Heckman's procedure," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1303-1311.
    20. William J Burke, 2019. "Evidence against Imposing Restrictions on Hurdle Models as a Test for Simultaneous versus Sequential Decision Making," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1473-1481.
    21. William J. Burke & Robert J. Myers & Thomas S. Jayne, 2015. "A Triple-Hurdle Model of Production and Market Participation in Kenya's Dairy Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(4), pages 1227-1246.
    22. Joseph Terza, 2009. "Parametric Nonlinear Regression with Endogenous Switching," Econometric Reviews, Taylor & Francis Journals, vol. 28(6), pages 555-580.
    23. Besley, Timothy & Case, Anne, 1993. "Modeling Technology Adoption in Developing Countries," American Economic Review, American Economic Association, vol. 83(2), pages 396-402, May.
    24. Bocquého, G. & Jacquet, F., 2010. "The adoption of switchgrass and miscanthus by farmers: Impact of liquidity constraints and risk preferences," Energy Policy, Elsevier, vol. 38(5), pages 2598-2607, May.
    25. William J Burke, 2019. "Evidence against Imposing Restrictions on Hurdle Models as a Test for Simultaneous versus Sequential Decision Making," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 101(5), pages 1473-1481.
    26. Zorn, Christopher, 2005. "A Solution to Separation in Binary Response Models," Political Analysis, Cambridge University Press, vol. 13(2), pages 157-170, April.
    27. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Britwum, Kofi & Demont, Matty, 2024. "The value of cultural heritage in the experience economy: Evidence from heirloom rice in the Philippines," 2024 Annual Meeting, July 28-30, New Orleans, LA 343802, Agricultural and Applied Economics Association.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mooney, Daniel F. & Barham, Bradford L. & Lian, Chang, 2013. "Sustainable Biofuels, Marginal Agricultural Lands, and Farm Supply Response: Micro-Evidence for Southwest Wisconsin," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150510, Agricultural and Applied Economics Association.
    2. Chrispin Sunganani Kaphaika & Samson Pilanazo Katengeza & Innocent Pangapanga-Phiri & Madalitso Happy Chambukira, 2023. "More Interventions, Low Adoption: To What Extent Are the Existing Seed Sources to Blame? The Case of Orange Fleshed Sweet Potato in Central and Northern Malawi," Sustainability, MDPI, vol. 15(19), pages 1-20, September.
    3. Matuschke, Ira & Qaim, Matin, 2006. "Adoption and Impact of Hybrid Wheat in India," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25678, International Association of Agricultural Economists.
    4. Matuschke, Ira & Mishra, Ritesh R. & Qaim, Matin, 2007. "Adoption and Impact of Hybrid Wheat in India," World Development, Elsevier, vol. 35(8), pages 1422-1435, August.
    5. Matty Demont & Marie Cerovska & Wim Daems & Koen Dillen & József Fogarasi & Erik Mathijs & František Muška & Josef Soukup & Eric Tollens, 2008. "Ex Ante Impact Assessment under Imperfect Information: Biotechnology in New Member States of the EU," Journal of Agricultural Economics, Wiley Blackwell, vol. 59(3), pages 463-486, September.
    6. Channa, Hira & Chen, Amy Z. & Pina, Patricia & Ricker-Gilbert, Jacob & Stein, Daniel, 2019. "What drives smallholder farmers’ willingness to pay for a new farm technology? Evidence from an experimental auction in Kenya," Food Policy, Elsevier, vol. 85(C), pages 64-71.
    7. Yoo, Do-il, 2012. "Individual and Social Learning in Bio-technology Adoption: The Case of GM Corn in the U.S," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124975, Agricultural and Applied Economics Association.
    8. Villacis, Alexis H. & Bloem, Jeffrey R. & Mishra, Ashok K., 2023. "Aspirations, risk preferences, and investments in agricultural technologies," Food Policy, Elsevier, vol. 120(C).
    9. Joshua D. Detre & Hiroki Uematsu & Ashok K. Mishra, 2011. "The influence of GM crop adoption on the profitability of farms operated by young and beginning farmers," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(1), pages 41-61, May.
    10. Bhargava, Anil K., 2013. "The Impact of India’s Rural Employment Guarantee on Demand for Agricultural Technology," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150163, Agricultural and Applied Economics Association.
    11. Oliver Musshoff & Norbert Hirschauer, 2011. "A behavioral economic analysis of bounded rationality in farm financing decisions," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(1), pages 62-83, May.
    12. Nicholas Magnan & Abby M. Love & Fulgence J. Mishili & Ganna Sheremenko, 2020. "Husbands’ and wives’ risk preferences and improved maize adoption in Tanzania," Agricultural Economics, International Association of Agricultural Economists, vol. 51(5), pages 743-758, September.
    13. Verkaart, Simone & Munyua, Bernard G. & Mausch, Kai & Michler, Jeffrey D., 2017. "Welfare impacts of improved chickpea adoption: A pathway for rural development in Ethiopia?," Food Policy, Elsevier, vol. 66(C), pages 50-61.
    14. Razafimahatratra, Hanitriniaina Mamy & Bignebat, Céline & David-Benz, Hélène & Bélières, Jean-François & Penot, Eric, 2021. "Tryout and (Dis)adoption of conservation agriculture. Evidence from Western Madagascar," Land Use Policy, Elsevier, vol. 100(C).
    15. B Kelsey Jack, "undated". "Market Inefficiencies and the Adoption of Agricultural Technologies in Developing Countries," CID Working Papers 50, Center for International Development at Harvard University.
    16. Sadashivappa, Prakash & Qaim, Matin, 2009. "Effects of Bt Cotton in India During the First Five Years of Adoption," 2009 Conference, August 16-22, 2009, Beijing, China 49947, International Association of Agricultural Economists.
    17. Oscar Montes de Oca Munguia & Rick Llewellyn, 2020. "The Adopters versus the Technology: Which Matters More when Predicting or Explaining Adoption?," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 80-91, March.
    18. Madhu Khanna & Shady S. Atallah & Saurajyoti Kar & Bijay Sharma & Linghui Wu & Chengzheng Yu & Girish Chowdhary & Chinmay Soman & Kaiyu Guan, 2022. "Digital transformation for a sustainable agriculture in the United States: Opportunities and challenges," Agricultural Economics, International Association of Agricultural Economists, vol. 53(6), pages 924-937, November.
    19. Paudel, G. & Krishna, V. & McDonald, A., 2018. "Why some inferior technologies succeed? Examining the diffusion and impacts of rotavator tillage in Nepal Terai," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277149, International Association of Agricultural Economists.
    20. Diagne, Aliou, 2006. "Taking a New Look at Empirical Models of Adoption: Average Treatment Effect Estimation of Adoption Rates and their Determinants," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25623, International Association of Agricultural Economists.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jageco:v:73:y:2022:i:1:p:277-300. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0021-857X .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.