IDEAS home Printed from https://ideas.repec.org/p/ags/aaae13/160674.html
   My bibliography  Save this paper

Rural media, agricultural technology adoption and productivity: evidences from small rice farmers in Burkina Faso

Author

Listed:
  • Alia, Didier Y.
  • Nakelse, Tebila
  • Diagne, Aliou

Abstract

In this paper we examine empirically the effect of Information and Communication Technologies on the adoption of improved rice varieties and its indirect effect on productivity with focus of the rural radio in Burkina Faso. The econometrics framework adopted is the Rubin Causal Model that has emerged as the standard approach for evaluating policy/program effect using an observational data. We found that adoption of modern varieties is significantly higher for the farmer that have listened radio program on rice before 2008 than those who have not. Also the use of rural radio appears to significantly increase the propensity of adopting modern varieties by 6%. We also estimate that the local average treatment effect of adoption of improved varieties induced by listening rice program radio on rice yield significantly positive. Ours results suggest that using rural radio could be an effective strategy to speed up the adoption of improved agricultural technologies and increase rice farmer productivity.

Suggested Citation

  • Alia, Didier Y. & Nakelse, Tebila & Diagne, Aliou, 2013. "Rural media, agricultural technology adoption and productivity: evidences from small rice farmers in Burkina Faso," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160674, African Association of Agricultural Economists (AAAE).
  • Handle: RePEc:ags:aaae13:160674
    DOI: 10.22004/ag.econ.160674
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/160674/files/Didier%20Y.%20Alia_%20Tebila%20Nakelse%20_%20Aliou%20Diagne.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.160674?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. James J. Heckman & Vytlacil, Edward J., 2007. "Econometric Evaluation of Social Programs, Part II: Using the Marginal Treatment Effect to Organize Alternative Econometric Estimators to Evaluate Social Programs, and to Forecast their Effects in New," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 71, Elsevier.
    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. Alice Lam, 1998. "Tacit Knowledge, Organisational Learning and Innovation A Societal Perspective," DRUID Working Papers 98-22, DRUID, Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies.
    4. 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.
    5. 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.
    6. Lisa A. Cameron, 1999. "The Importance of Learning in the Adoption of High-Yielding Variety Seeds," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 83-94.
    7. Abdulai, Awudu & Huffman, Wallace, 2007. "The Diffusion of New Agricultural Technologies: The Case of Crossbreeding Technology in Tanzania," Staff General Research Papers Archive 12785, Iowa State University, Department of Economics.
    8. Adesina, Akinwumi A. & Baidu-Forson, Jojo, 1995. "Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa," Agricultural Economics, Blackwell, vol. 13(1), pages 1-9, October.
    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. Koirala, Bishwa S. & Bohara, Alok K. & Devkota, Satis & Upadhyaya, Kamal P., 2019. "Community managed hydropower, spillover effect and agricultural productivity: The case of rural Nepal," World Development Perspectives, Elsevier, vol. 13(C), pages 67-74.

    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. 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.
    2. 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.
    3. 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.
    4. 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).
    5. Jeffrey Smith & Arthur Sweetman, 2016. "Viewpoint: Estimating the causal effects of policies and programs," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 871-905, August.
    6. Lidia Dandedjrohoun & Aliou Diagne & Gauthier Biaou & Simon N’cho & Soul-Kifouly Midingoyi, 2012. "Determinants of diffusion and adoption of improved technology for rice parboiling in Benin," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 93(2), pages 171-191.
    7. Philipp Eisenhauer & James J. Heckman & Edward Vytlacil, 2015. "The Generalized Roy Model and the Cost-Benefit Analysis of Social Programs," Journal of Political Economy, University of Chicago Press, vol. 123(2), pages 413-443.
    8. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    9. Tymon S{l}oczy'nski, 2018. "Interpreting OLS Estimands When Treatment Effects Are Heterogeneous: Smaller Groups Get Larger Weights," Papers 1810.01576, arXiv.org, revised May 2020.
    10. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory, 2016. "Dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 191(2), pages 276-292.
    11. Sung Jae Jun & Sokbae Lee, 2023. "Identifying the Effect of Persuasion," Journal of Political Economy, University of Chicago Press, vol. 131(8), pages 2032-2058.
    12. Yigezu A. Yigezu & Tamer El‐Shater, 2021. "Socio‐economic impacts of zero and reduced tillage in wheat fields of the Moroccan drylands," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 645-663, July.
    13. Lewbel, Arthur & Yang, Thomas Tao, 2016. "Identifying the average treatment effect in ordered treatment models without unconfoundedness," Journal of Econometrics, Elsevier, vol. 195(1), pages 1-22.
    14. 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.
    15. Ashesh Rambachan & Neil Shephard, 2019. "Econometric analysis of potential outcomes time series: instruments, shocks, linearity and the causal response function," Papers 1903.01637, arXiv.org, revised Feb 2020.
    16. Słoczyński, Tymon, 2012. "New Evidence on Linear Regression and Treatment Effect Heterogeneity," MPRA Paper 39524, University Library of Munich, Germany.
    17. Lechner, Michael, 2013. "Treatment effects and panel data," Economics Working Paper Series 1314, University of St. Gallen, School of Economics and Political Science.
    18. Dong, Yingying, 2010. "Jumpy or Kinky? Regression Discontinuity without the Discontinuity," MPRA Paper 25461, University Library of Munich, Germany.
    19. Heckman, James J. & Urzúa, Sergio, 2010. "Comparing IV with structural models: What simple IV can and cannot identify," Journal of Econometrics, Elsevier, vol. 156(1), pages 27-37, May.
    20. Marco Caliendo & Stefan Tübbicke, 2020. "New evidence on long-term effects of start-up subsidies: matching estimates and their robustness," Empirical Economics, Springer, vol. 59(4), pages 1605-1631, October.

    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:aaae13:160674. 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.