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Irrigation water use efficiency in central Tunisian's wheat production systems: A stochastic data envelopment approach

Author

Listed:
  • Chebil, Ali
  • Abbas, Kais
  • Frija, Aymen
Abstract
This study employs stochastic DEA approach for measuring irrigation water efficiency of wheat farms in irrigated areas of Chbika (Central Tunisia). Data was collected from 170 wheat farms during 2010-2011cropping season. The empirical results show that the average water use efficiency calculated by this approach was only around 41% under CRS while it was 44% under VRS. This suggests that there is substantial scope for improving irrigation water use efficiency in the study region using the existing technology on wheat farms. A Tobit regression was used to identify the determinants of the irrigation water use efficiency in the studied sample. Results of the Tobit analysis show the positive effect on water use efficiency of variety choices, irrigation sources, membership in water users associations, irrigation management and experience. These results are valuable for policy makers since they can be easily integrated in the general guidelines of water valorisation policies.

Suggested Citation

  • Chebil, Ali & Abbas, Kais & Frija, Aymen, 2013. "Irrigation water use efficiency in central Tunisian's wheat production systems: A stochastic data envelopment approach," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160290, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae13:160290
    DOI: 10.22004/ag.econ.160290
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    References listed on IDEAS

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    1. Coelli, Tim J., 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 1-27, December.
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    3. Dhehibi, Boubaker & Lachaal, Lassaad & Elloumi, Mohamed & Messaoud, Emna B., 2007. "Measuring irrigation water use efficiency using stochastic production frontier: An application on citrus producing farms in Tunisia," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 1(2), pages 1-15, September.
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    6. Speelman, Stijn & D'Haese, Marijke & Buysse, Jeroen & D'Haese, Luc, 2008. "A measure for the efficiency of water use and its determinants, a case study of small-scale irrigation schemes in North-West Province, South Africa," Agricultural Systems, Elsevier, vol. 98(1), pages 31-39, July.
    7. Frija, Aymen & Chebil, Ali & Speelman, Stijn & Buysse, Jeroen & Van Huylenbroeck, Guido, 2009. "Water use and technical efficiencies in horticultural greenhouses in Tunisia," Agricultural Water Management, Elsevier, vol. 96(11), pages 1509-1516, November.
    8. Chebil, Ali & Frija, Aymen & Abdelkafi, Belhassen, 2010. "Irrigation water use efficiency in collective irrigated schemes of Tunisia: determinants and potential irrigation cost reduction," 2010 AAAE Third Conference/AEASA 48th Conference, September 19-23, 2010, Cape Town, South Africa 96158, African Association of Agricultural Economists (AAAE).
    9. Frija, Aymen & Chebil, Ali & Abdelkafi, Belhassen, 2012. "Irrigation water use efficiency in collective irrigated schemes of Tunisia: determinants and potential irrigation cost reduction," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), pages 1-10.
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    Cited by:

    1. Vincent Charles & Ioannis E. Tsolas & Tatiana Gherman, 2018. "Satisficing data envelopment analysis: a Bayesian approach for peer mining in the banking sector," Annals of Operations Research, Springer, vol. 269(1), pages 81-102, October.

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