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

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  • 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.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 43822.

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Date of creation: 01 May 2009
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Handle: RePEc:pra:mprapa:43822

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Related research

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

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References

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  1. 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, Agricultural and Applied Economics Association, vol. 84(1), pages 171-183.
  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, Australian Agricultural and Resource Economics Society, vol. 51(3), pages 323-341, 09.
  3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, Cambridge University Press, number 9780521766555.
  4. Geweke, John F. & Keane, Michael P. & Runkle, David E., 1997. "Statistical inference in the multinomial multiperiod probit model," Journal of Econometrics, Elsevier, Elsevier, vol. 80(1), pages 125-165, September.
  5. 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, Agricultural and Applied Economics Association, vol. 87(4), pages 1009-1019.
  6. Seo, S. Niggol & Mendelsohn, Robert, 2008. "An analysis of crop choice: Adapting to climate change in South American farms," Ecological Economics, Elsevier, Elsevier, vol. 67(1), pages 109-116, August.
  7. 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., John Wiley & Sons, Ltd., vol. 20(4), pages 437-451.
  8. 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, Agricultural and Applied Economics Association, vol. 88(3), pages 657-670.
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