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Implications of a shift in irrigation technology on resource use efficiency: A Syrian case

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  • Yigezu, Yigezu A.
  • Ahmed, Mohamed A.
  • Shideed, Kamil
  • Aw-Hassan, Aden
  • El-Shater, Tamer
  • Al-Atwan, Samman

Abstract

The absence of adequate land leveling coupled with the ill designed traditional furrow irrigation systems and the poor condition of drainage structures in most Syrian farms are leading to over-irrigation. A stochastic production frontier and inefficiency model has been estimated to measure the farm level inefficiency in irrigation water use. The results show that in Syria, the typical wheat farm is 28% less efficient in irrigation water use than the best farmer. It is also found that on average, these farms can achieve the current level of yield with 9% less irrigation water only by replacing the traditional surface canal irrigation schemes with sprinklers. This shift however results in only 2% improvement in a measure that combines both cost and technical efficiencies of irrigation water – a possible reason for 43% of the farms to continue using the traditional system despite government support for the purchase of sprinklers. Even among sprinkler users, there is 25% inefficiency in irrigation water use that needs to be curbed. These results suggest that farmer education and the introduction of water user charges that will increase the cost efficiency of sprinklers relative to the traditional methods may enhance water conservation through wider adoption and more efficient use of sprinklers.

Suggested Citation

  • Yigezu, Yigezu A. & Ahmed, Mohamed A. & Shideed, Kamil & Aw-Hassan, Aden & El-Shater, Tamer & Al-Atwan, Samman, 2013. "Implications of a shift in irrigation technology on resource use efficiency: A Syrian case," Agricultural Systems, Elsevier, vol. 118(C), pages 14-22.
    • Handle: RePEc:eee:agisys:v:118:y:2013:i:c:p:14-22
    DOI: 10.1016/j.agsy.2013.02.003
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    1. Christensen, Laurits R & Jorgenson, Dale W & Lau, Lawrence J, 1973. "Transcendental Logarithmic Production Frontiers," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 28-45, February.
    2. 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.
    3. G. Karagiannis & V. Tzouvelekas & A. Xepapadeas, 2003. "Measuring Irrigation Water Efficiency with a Stochastic Production Frontier," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(1), pages 57-72, September.
    4. Raymond J. Kopp, 1981. "The Measurement of Productive Efficiency: A Reconsideration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 96(3), pages 477-503.
    5. Aliou Diagne & Matty Demont, 2007. "Taking a new look at empirical models of adoption: average treatment effect estimation of adoption rates and their determinants," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 201-210, September.
    6. Duffy, John & Papageorgiou, Chris, 2000. "A Cross-Country Empirical Investigation of the Aggregate Production Function Specification," Journal of Economic Growth, Springer, vol. 5(1), pages 87-120, March.
    7. Allan, Tony, 1999. "Productive efficiency and allocative efficiency: why better water management may not solve the problem," Agricultural Water Management, Elsevier, vol. 40(1), pages 71-75, March.
    8. Kneller, Richard & Andrew Stevens, Philip, 2003. "The specification of the aggregate production function in the presence of inefficiency," Economics Letters, Elsevier, vol. 81(2), pages 223-226, November.
    9. Jay T. Akridge, 1989. "Measuring Productive Efficiency in Multiple Product Agribusiness Firms: A Dual Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 116-125.
    10. Coelli, T. J., 1992. "A computer program for frontier production function estimation : Frontier version 2.0," Economics Letters, Elsevier, vol. 39(1), pages 29-32, May.
    11. Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
    12. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    13. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    14. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    4. Darouich, Hanaa & Karfoul, Razan & Ramos, Tiago B. & Moustafa, Ali & Shaheen, Baraa & Pereira, Luis S., 2021. "Crop water requirements and crop coefficients for jute mallow (Corchorus olitorius L.) using the SIMDualKc model and assessing irrigation strategies for the Syrian Akkar region," Agricultural Water Management, Elsevier, vol. 255(C).
    5. Zhiwei Pan & Decai Tang & Haojia Kong & Junxia He, 2022. "An Analysis of Agricultural Production Efficiency of Yangtze River Economic Belt Based on a Three-Stage DEA Malmquist Model," IJERPH, MDPI, vol. 19(2), pages 1-15, January.
    6. Eric Njuki & Boris E. Bravo-Ureta, 2019. "Examining irrigation productivity in U.S. agriculture using a single-factor approach," Journal of Productivity Analysis, Springer, vol. 51(2), pages 125-136, June.

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