IDEAS home Printed from https://ideas.repec.org/a/oup/erevae/v49y2022i4p857-875..html
   My bibliography  Save this article

Scaling-up agricultural technologies: who should be targeted?

Author

Listed:
  • Shaibu Mellon Bedi
  • Carlo Azzarri
  • Bekele Hundie Kotu
  • Lukas Kornher
  • Joachim von Braun

Abstract

The effects of agricultural technology adoption on farm performance have been studied extensively but with limited information on who should be targeted during scaling-up. We adopt the newly defined marginal treatment effect approach in examining how farmers’ resource endowment and unobserved factors influence the marginal benefits of adopting sustainable intensification (SI) practices. We estimate both the marginal and average benefits of adopting SI practices and predict which marginal farm household entrants will benefit the most at scale. Findings indicate that farmers’ resource endowment and unobserved factors affect the marginal benefits of adopting SI practices, which also influence maize yield and net returns among adopters. Finally, results imply that scaling up SI practices will favour farm household entrants associated with the lowest probability of adoption based on observed socioeconomic characteristics.

Suggested Citation

  • Shaibu Mellon Bedi & Carlo Azzarri & Bekele Hundie Kotu & Lukas Kornher & Joachim von Braun, 2022. "Scaling-up agricultural technologies: who should be targeted?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(4), pages 857-875.
  • Handle: RePEc:oup:erevae:v:49:y:2022:i:4:p:857-875.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/erae/jbab054
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Esther Duflo & Michael Kremer & Jonathan Robinson, 2011. "Nudging Farmers to Use Fertilizer: Theory and Experimental Evidence from Kenya," American Economic Review, American Economic Association, vol. 101(6), pages 2350-2390, October.
    2. Pedro Carneiro & James J. Heckman & Edward Vytlacil, 2010. "Evaluating Marginal Policy Changes and the Average Effect of Treatment for Individuals at the Margin," Econometrica, Econometric Society, vol. 78(1), pages 377-394, January.
    3. Robinson, Peter M, 1988. "Root- N-Consistent Semiparametric Regression," Econometrica, Econometric Society, vol. 56(4), pages 931-954, July.
    4. Nava Ashraf & Xavier Giné & Dean Karlan, 2009. "Finding Missing Markets (and a Disturbing Epilogue): Evidence from an Export Crop Adoption and Marketing Intervention in Kenya," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(4), pages 973-990.
    5. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    6. Dean Karlan & Robert Osei & Isaac Osei-Akoto & Christopher Udry, 2014. "Agricultural Decisions after Relaxing Credit and Risk Constraints," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(2), pages 597-652.
    7. Giller, K.E. & Tittonell, P. & Rufino, M.C. & van Wijk, M.T. & Zingore, S. & Mapfumo, P. & Adjei-Nsiah, S. & Herrero, M. & Chikowo, R. & Corbeels, M. & Rowe, E.C. & Baijukya, F. & Mwijage, A. & Smith,, 2011. "Communicating complexity: Integrated assessment of trade-offs concerning soil fertility management within African farming systems to support innovation and development," Agricultural Systems, Elsevier, vol. 104(2), pages 191-203, February.
    8. Machado, José A.F. & Santos Silva, J.M.C., 2019. "Quantiles via moments," Journal of Econometrics, Elsevier, vol. 213(1), pages 145-173.
    9. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011. "Estimating Marginal Returns to Education," American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
    10. Salvatore Di Falco & Marcella Veronesi & Mahmud Yesuf, 2011. "Does Adaptation to Climate Change Provide Food Security? A Micro-Perspective from Ethiopia," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 825-842.
    11. Awudu Abdulai & Wallace Huffman, 2014. "The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application," Land Economics, University of Wisconsin Press, vol. 90(1), pages 26-43.
    12. Xiang Zhou & Yu Xie, 2019. "Marginal Treatment Effects from a Propensity Score Perspective," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 3070-3084.
    13. Bellon, Mauricio R. & Kotu, Bekele Hundie & Azzarri, Carlo & Caracciolo, Francesco, 2020. "To diversify or not to diversify, that is the question. Pursuing agricultural development for smallholder farmers in marginal areas of Ghana," World Development, Elsevier, vol. 125(C).
    14. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    15. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, January.
    16. James Heckman, 1997. "Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations," Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
    17. Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
    18. Mark M. Pitt, 1983. "Farm-Level Fertilizer Demand in Java: A Meta-Production Function Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 65(3), pages 502-508.
    19. Kyle Emerick & Manzoor H. Dar, 2021. "Farmer Field Days and Demonstrator Selection for Increasing Technology Adoption," The Review of Economics and Statistics, MIT Press, vol. 103(4), pages 680-693, October.
    20. Ashraf, Nava & Giné, Xavier & Karlan, Dean S., 2009. "AJAE appendix for “Finding Missing Markets (and a Disturbing Epilogue): Evidence from an Export Crop Adoption and Marketing Intervention in Kenya”," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 91(4), pages 1-9, February.
    Full references (including those not matched with items on IDEAS)

    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. Bedi, Shaibu Mellon & Azzarri, Carlo & Kotu, Bekele Hundi & Kornher, Lukas, 2021. "Scaling-up Agricultural Innovations: Who Should be Targeted?," 2021 Conference, August 17-31, 2021, Virtual 315267, International Association of Agricultural Economists.
    2. Yu-Chang Chen & Haitian Xie, 2022. "Personalized Subsidy Rules," Papers 2202.13545, arXiv.org, revised Mar 2022.
    3. Schennach, Susanne & White, Halbert & Chalak, Karim, 2012. "Local indirect least squares and average marginal effects in nonseparable structural systems," Journal of Econometrics, Elsevier, vol. 166(2), pages 282-302.
    4. Bjorn Van Campenhout & David J. Spielman & Els Lecoutere, 2021. "Information and Communication Technologies to Provide Agricultural Advice to Smallholder Farmers: Experimental Evidence from Uganda," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(1), pages 317-337, January.
    5. Pedro Carneiro & Michael Lokshin & Nithin Umapathi, 2017. "Average and Marginal Returns to Upper Secondary Schooling in Indonesia," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 16-36, January.
    6. Pereda-Fernández, Santiago, 2023. "Identification and estimation of triangular models with a binary treatment," Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
    7. Pedro Carneiro & James J. Heckman & Edward J. Vytlacil, 2011. "Estimating Marginal Returns to Education," American Economic Review, American Economic Association, vol. 101(6), pages 2754-2781, October.
    8. Kasahara, Hiroyuki & Liang, Yawen & Rodrigue, Joel, 2016. "Does importing intermediates increase the demand for skilled workers? Plant-level evidence from Indonesia," Journal of International Economics, Elsevier, vol. 102(C), pages 242-261.
    9. Spanos, Yiannis E., 2021. "Exploring heterogeneous returns to collaborative R&D: A marginal treatment effects perspective," Research Policy, Elsevier, vol. 50(5).
    10. Rojas, Eugenio & Sánchez, Rafael & Villena, Mauricio G., 2016. "Credit constraints in higher education in a context of unobserved heterogeneity," Economics of Education Review, Elsevier, vol. 52(C), pages 225-250.
    11. Carneiro, Pedro & Lee, Sokbae, 2009. "Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality," Journal of Econometrics, Elsevier, vol. 149(2), pages 191-208, April.
    12. Huber, Martin & Wüthrich, Kaspar, 2017. "Evaluating local average and quantile treatment effects under endogeneity based on instruments: a review," FSES Working Papers 479, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    13. Shoya Ishimaru, 2021. "Empirical Decomposition of the IV-OLS Gap with Heterogeneous and Nonlinear Effects," Papers 2101.04346, arXiv.org, revised Jun 2022.
    14. Manuel Arellano & Stéphane Bonhomme, 2017. "Quantile Selection Models With an Application to Understanding Changes in Wage Inequality," Econometrica, Econometric Society, vol. 85, pages 1-28, January.
    15. Sokbae Lee & Bernard Salanié, 2018. "Identifying Effects of Multivalued Treatments," Econometrica, Econometric Society, vol. 86(6), pages 1939-1963, November.
    16. Robert A. Moffitt & Matthew V. Zahn, 2019. "The Marginal Labor Supply Disincentives of Welfare: Evidence from Administrative Barriers to Participation," NBER Working Papers 26028, National Bureau of Economic Research, Inc.
    17. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    18. P. Lovaglio & S. Verzillo, 2016. "Heterogeneous economic returns to higher education: evidence from Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 791-822, March.
    19. Nakano, Yuko & Magezi, Eustadius F., 2020. "The impact of microcredit on agricultural technology adoption and productivity: Evidence from randomized control trial in Tanzania," World Development, Elsevier, vol. 133(C).
    20. Laura Boudreau & Julia Cajal-Grossi & Rocco Macchiavello, 2023. "Global Value Chains in Developing Countries: A Relational Perspective from Coffee and Garments," Journal of Economic Perspectives, American Economic Association, vol. 37(3), pages 59-86, Summer.

    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:oup:erevae:v:49:y:2022:i:4:p:857-875.. 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: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/eaaeeea.html .

    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.