IDEAS home Printed from https://ideas.repec.org/p/ags/aaae13/160547.html
   My bibliography  Save this paper

Impact de la production de semence riz sur le rendement et le revenu des ménages agricoles : une étude de cas du Bénin

Author

Listed:
  • Arouna, Aminou
  • Diagne, Aliou

Abstract

Face aux difficultés d’approvisionnement des producteurs en semences de qualité et en quantité suffisante, la production des semences certifiées du riz a été décentralisée et ramenée à la base avec l’implication des producteurs. Ainsi, les producteurs ont été formés et agréés pour la production des semences certifiées. Cette étude vise à évaluer l’impact de cette activité de production de semence sur la productivité et le revenu des producteurs au Bénin. Pour éliminer le biais lié à la différence dans les caractéristiques des adoptants et des non-adoptants, la méthode de Local Average Response Function (LARF) basée sur l’approche contrefactuelle a été utilisée pour estimer l’effet moyen local du traitement (LATE). La collecte des données a porté sur 240 riziculteurs dont 128 producteurs de semences sélectionnés de façon aléatoire. Les résultats montrent que la rentabilité de la production de semence (441 980 FCFA/ha) est environ deux fois celle du riz de consommation (249 410 FCFA/ha). De plus, la production de semence a permis d’augmenter le rendement du riz de 1924 kg/ha d’améliorer leur revenu des ménages agricoles de 92 572 FCFA/ha. Cette étude suggère la mise en place des innovations institutionnelles qui proposent des premiums sur le prix du riz mais exigeante sur la qualité de l’offre pour non seulement améliorer la qualité du riz local mais aussi le revenu des ménages agricoles.

Suggested Citation

  • Arouna, Aminou & Diagne, Aliou, 2013. "Impact de la production de semence riz sur le rendement et le revenu des ménages agricoles : une étude de cas du Bénin," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160547, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae13:160547
    DOI: 10.22004/ag.econ.160547
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/160547/files/Aminou%20Arouna_%20et%20Aliou%20Diagne.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.160547?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. Lee, Myoung-jae, 2005. "Micro-Econometrics for Policy, Program and Treatment Effects," OUP Catalogue, Oxford University Press, number 9780199267699.
    2. James J. Heckman, 2010. "Building Bridges between Structural and Program Evaluation Approaches to Evaluating Policy," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 356-398, June.
    3. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    4. 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.
    5. Abadie, Alberto, 2003. "Semiparametric instrumental variable estimation of treatment response models," Journal of Econometrics, Elsevier, vol. 113(2), pages 231-263, April.
    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. Bago, Jean-Louis & Koutaba, Aude E. A. & Valéa, Aristide B., 2018. "Factors Affecting Adoption of Improved Crops by Rural Farmers in Niger," AfricArxiv b8ezn, Center for Open Science.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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).
    6. Domenico Depalo, 2020. "Explaining the causal effect of adherence to medication on cholesterol through the marginal patient," Health Economics, John Wiley & Sons, Ltd., vol. 29(S1), pages 110-126, October.
    7. 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.
    8. Dionissi Aliprantis, 2017. "Assessing the evidence on neighborhood effects from Moving to Opportunity," Empirical Economics, Springer, vol. 52(3), pages 925-954, May.
    9. Martin Huber, 2019. "An introduction to flexible methods for policy evaluation," Papers 1910.00641, arXiv.org.
    10. 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.
    11. 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 187-199, September.
    12. Black, Dan A. & Joo, Joonhwi & LaLonde, Robert & Smith, Jeffrey A. & Taylor, Evan J., 2022. "Simple Tests for Selection: Learning More from Instrumental Variables," Labour Economics, Elsevier, vol. 79(C).
    13. Ygué Patrice Adegbola1 & Baudelaire YF Kouton Bognon & Pélagie M Hessavi, 2020. "Economic Impact Assessment of Improved Maize Adoption on Poverty: Case Study of Four West African Countries," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 26(4), pages 134-141, November.
    14. 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.
    15. Robert J. Gary‐Bobo & Marion Goussé & Jean‐Marc Robin, 2016. "Grade retention and unobserved heterogeneity," Quantitative Economics, Econometric Society, vol. 7(3), pages 781-820, November.
    16. Joshua D. Angrist, 2022. "Empirical Strategies in Economics: Illuminating the Path From Cause to Effect," Econometrica, Econometric Society, vol. 90(6), pages 2509-2539, November.
    17. Silvia Moler‐Zapata & Richard Grieve & Anirban Basu & Stephen O’Neill, 2023. "How does a local instrumental variable method perform across settings with instruments of differing strengths? A simulation study and an evaluation of emergency surgery," Health Economics, John Wiley & Sons, Ltd., vol. 32(9), pages 2113-2126, September.
    18. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    19. 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.
    20. 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.

    More about this item

    Keywords

    Agribusiness;

    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:aaae13:160547. 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.