IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/43822.html
   My bibliography  Save this paper

Joint Adoption of Safer Irrigation Technologies under Uncertainty: Evidence from Ghana

Author

Listed:
  • Owusu, Victor
  • Abdulai, Awudu

Abstract

This paper examines joint adoption of safer irrigation technologies under uncertainty. The new irrigation technologies introduced in sub-Saharan Africa aim at ensuring safer vegetable production when untreated wastewater is used as irrigation water. The main hypothesis tested is that profit and health-related uncertainties influence adoption of safer irrigation technologies. The study employed a cross-sectional data on urban and periurban vegetable farmers in Kumasi of Ghana and examines theoretically and empirically, these possible technology adoption uncertainties, and other relevant factors which influence farmers’ adoption decisions. The empirical results indicate that apart from household and farm characteristics, profit and health-related uncertainties influence adoption of irrigation technologies for safer vegetable production.

Suggested Citation

  • Owusu, Victor & Abdulai, Awudu, 2009. "Joint Adoption of Safer Irrigation Technologies under Uncertainty: Evidence from Ghana," MPRA Paper 43822, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:43822
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/43822/1/MPRA_paper_43822.pdf
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    as
    1. Seo, S. Niggol & Mendelsohn, Robert, 2008. "An analysis of crop choice: Adapting to climate change in South American farms," Ecological Economics, Elsevier, vol. 67(1), pages 109-116, August.
    2. Donna Brennan, 2007. "Policy interventions to promote the adoption of water saving sprinkler systems: the case of lettuce on the Gnangara Mound," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(3), pages 323-341, September.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, April.
    4. Georgina Moreno & David L. Sunding, 2005. "Joint Estimation of Technology Adoption and Land Allocation with Implications for the Design of Conservation Policy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 1009-1019.
    5. Geweke, John F. & Keane, Michael P. & Runkle, David E., 1997. "Statistical inference in the multinomial multiperiod probit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 125-165, September.
    6. Phoebe Koundouri & Céline Nauges & Vangelis Tzouvelekas, 2006. "Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(3), pages 657-670.
    7. Janis M. Carey & David Zilberman, 2002. "A Model of Investment under Uncertainty: Modern Irrigation Technology and Emerging Markets in Water," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 171-183.
    8. Awudu Abdulai & Pierre Monnin & Jacques Gerber, 2008. "Joint estimation of information acquisition and adoption of new technologies under uncertainty," Journal of International Development, John Wiley & Sons, Ltd., vol. 20(4), pages 437-451.
    Full references (including those not matched with items on IDEAS)

    More about this item

    Keywords

    Adoption; Ghana; Safer Irrigation; Uncertainty; Vegetable Production;

    JEL classification:

    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities

    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:pra:mprapa:43822. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter) or (Rebekah McClure). General contact details of provider: http://edirc.repec.org/data/vfmunde.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.