IDEAS home Printed from https://ideas.repec.org/p/ags/aaae13/158482.html
   My bibliography  Save this paper

Agricultural technology adoption and rice varietal diversity: A Local Average Treatment Effect (LATE) Approach for rural Benin

Author

Listed:
  • Bonou, Alice
  • Diagne, Aliou
  • Biaou, Gauthier

Abstract

The aim of this study was to assess the impact of adoption of new high-yielding varieties (NERICA) of rice on its varietal diversity in Benin. The database was from Impact Assessment unit of AfricaRice and concerns 304 producers of rice. Overall the study covered twenty-four villages over three districts: Dassa-Zounmè, Glazoué and Savalou. Data analysis was carried out using the econometric approach based on the Local Average Effect of Treatment (LATE) framework. Overall, estimation of impact showed that at village level the indexes of in-situ (on farm) conservation of varietal diversity of rice are the same in NERICA and Non-NERICA villages. Moreover, at farmer level, the average impact of NERICA adoption on number of modern rice varieties of the sub-population of NERICA potential adopters is 0.8. NERICA’s rice varieties had positively impacted the in situ conservation of varietal diversity. Our findings indicated that it is worth extending diffusion of NERICA varieties in Benin.

Suggested Citation

  • Bonou, Alice & Diagne, Aliou & Biaou, Gauthier, 2013. "Agricultural technology adoption and rice varietal diversity: A Local Average Treatment Effect (LATE) Approach for rural Benin," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 158482, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae13:158482
    DOI: 10.22004/ag.econ.158482
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/158482/files/BONOUAAAEUpdate.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.158482?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. Adekambi, Souleimane Adeyemi & Diagne, Aliou & Simtowe, Franklin & Biaou, Gauthier, 2009. "The Impact of Agricultural Technology Adoption on Poverty: The case of NERICA rice varieties in Benin," 2009 Conference, August 16-22, 2009, Beijing, China 51645, International Association of Agricultural Economists.
    2. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    3. Shahidur R. Khandker & Gayatri B. Koolwal & Hussain A. Samad, . "Handbook on Impact Evaluation : Quantitative Methods and Practices," World Bank Publications, The World Bank, number 2693, September.
    4. Lee, Myoung-jae, 2005. "Micro-Econometrics for Policy, Program and Treatment Effects," OUP Catalogue, Oxford University Press, number 9780199267699.
    5. 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.
    6. Linnemayr, Sebastian & Alderman, Harold, 2011. "Almost random: Evaluating a large-scale randomized nutrition program in the presence of crossover," Journal of Development Economics, Elsevier, vol. 96(1), pages 106-114, September.
    7. Charles F. Manski & John V. Pepper, 2000. "Monotone Instrumental Variables, with an Application to the Returns to Schooling," Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
    8. Ram Rana & Chris Garforth & Bhuwon Sthapit & Devra Jarvis, 2007. "Influence of socio-economic and cultural factors in rice varietal diversity management on-farm in Nepal," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 24(4), pages 461-472, December.
    9. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    10. Heckman, James J. & Robb, Richard Jr., 1985. "Alternative methods for evaluating the impact of interventions : An overview," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 239-267.
    11. 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.
    12. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    13. Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 2011. "Impact of Improved Rice Technology (NERICA varieties) on Income and Poverty among Rice Farming Households in Nigeria: A Local Average Treatment Effect (LATE) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-25.
    14. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    15. Robert Tripp, 1996. "Biodiversity and modern crop varieties: Sharpening the debate," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 13(4), pages 48-63, September.
    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. Collins-Sowah, Peron A. & Adjin, K. Christophe & Henning, Christian H. C. A., 2019. "Complementary impact of social capital on the adoption of productivity enhancing technologies: Evidence from Senegal," Working Papers of Agricultural Policy WP2019-03, University of Kiel, Department of Agricultural Economics, Chair of Agricultural Policy.

    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. Mahoukede, Kinkingninhoun-Medagbe & Aliou, Diagne & Gauthier, Biaou, 2015. "Impact of Use of Credit in rice farming on rice Productivity and Income in Benin," 2015 Conference, August 9-14, 2015, Milan, Italy 211635, International Association of Agricultural Economists.
    2. Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 2011. "Impact of Improved Rice Technology (NERICA varieties) on Income and Poverty among Rice Farming Households in Nigeria: A Local Average Treatment Effect (LATE) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-25.
    3. Lokossou, Jourdain & Arouna, Aminou & Diagne, Aliou & Biaou, Gauthier, 2015. "Gender differential Impact of NERICA adoption on Total Factor Productivity: evidence from Benin Republic," 2015 Conference, August 9-14, 2015, Milan, Italy 212056, International Association of Agricultural Economists.
    4. Lamin Dibba & Manfred Zeller & Aliou Diagne, 2017. "The impact of new Rice for Africa (NERICA) adoption on household food security and health in the Gambia," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(5), pages 929-944, October.
    5. Mahoukede, Kinkingninhoun-Medagbe & Aliou, Diagne & Rita A., Agboh-Noameshie, 2015. "Impact of NERICA Adoption on Productivity and Income in Benin: Is There Gender Difference?," 2015 Conference, August 9-14, 2015, Milan, Italy 211634, International Association of Agricultural Economists.
    6. Awotide, Bola Amoke & Awoyemi, Taiwo Timothy & Salman, Kabir Kayode & Diagne, Aliou, 2013. "Impact of Seed Voucher System on Income Inequality and Rice Income per Hectare among Rural Households in Nigeria: A Randomized Control Trial (RCT) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 52(2), pages 1-23, May.
    7. 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.
    8. Medagbe, F.M.Kinkingninhoun, 2018. "Gender difference in technology adoption: Case of NERICA varieties in Benin," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277544, International Association of Agricultural Economists.
    9. Dontsop Nguezet, Paul Martin & Diagne, Aliou & Okoruwa, Victor O. & Ojehomon, Vivian E.T., 2012. "Estimation of Actual and Potential Adoption Rates and Determinants of NERICA Rice Varieties in Nigeria," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126069, International Association of Agricultural Economists.
    10. Huber Martin & Wüthrich Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
    11. Halbert White & Karim Chalak, 2013. "Identification and Identification Failure for Treatment Effects Using Structural Systems," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 273-317, November.
    12. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, Institute of Labor Economics (IZA).
    13. Huber, Martin, 2019. "An introduction to flexible methods for policy evaluation," FSES Working Papers 504, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    14. Lina Zhang & David T. Frazier & D. S. Poskitt & Xueyan Zhao, 2020. "Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects," Papers 2009.02642, arXiv.org, revised Sep 2022.
    15. Abdoulaye Diagne Author-Name: Fran ois J. Cabral, 2017. "Agricultural Transformation in Senegal: Impacts of an integrated program," Working Papers PMMA 2017-09, PEP-PMMA.
    16. de Luna Xavier & Johansson Per, 2014. "Testing for the Unconfoundedness Assumption Using an Instrumental Assumption," Journal of Causal Inference, De Gruyter, vol. 2(2), pages 1-13, September.
    17. Adekambi, Souleimane Adeyemi & Diagne, Aliou & Simtowe, Franklin & Biaou, Gauthier, 2009. "The Impact of Agricultural Technology Adoption on Poverty: The case of NERICA rice varieties in Benin," 2009 Conference, August 16-22, 2009, Beijing, China 51645, International Association of Agricultural Economists.
    18. Aliou Diagne & Steven Glover & Ben Groom & Jonathan Phillips, 2012. "Africa's Green Revolution? The determinants of the adoption of NERICAs in West Africa," Working Papers 174, Department of Economics, SOAS University of London, UK.
    19. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    20. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Crop Production/Industries; Research and Development/Tech Change/Emerging Technologies; Research Methods/ Statistical Methods;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaae13:158482. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaaeaea.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.