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Ganji, N., Yazdani, S., Saleh, I. (2018). Identifying factor affecting efficiency of water use in wheat production, Alborz province (Data Envelopment Analysis Approach). , 49(1), 13-22. doi: 10.22059/ijaedr.2018.66029
Niloofar Ganji; Saeid Yazdani; Iraj Saleh. "Identifying factor affecting efficiency of water use in wheat production, Alborz province (Data Envelopment Analysis Approach)". , 49, 1, 2018, 13-22. doi: 10.22059/ijaedr.2018.66029
Ganji, N., Yazdani, S., Saleh, I. (2018). 'Identifying factor affecting efficiency of water use in wheat production, Alborz province (Data Envelopment Analysis Approach)', , 49(1), pp. 13-22. doi: 10.22059/ijaedr.2018.66029
Ganji, N., Yazdani, S., Saleh, I. Identifying factor affecting efficiency of water use in wheat production, Alborz province (Data Envelopment Analysis Approach). , 2018; 49(1): 13-22. doi: 10.22059/ijaedr.2018.66029

Identifying factor affecting efficiency of water use in wheat production, Alborz province (Data Envelopment Analysis Approach)

تحقیقات اقتصاد و توسعه کشاورزی ایران
Article 2, Volume 49, Issue 1, February 2018, Pages 13-22    PDF (246.09 K)
Document Type: Research Paper
DOI: 10.22059/ijaedr.2018.66029
Authors
Niloofar Ganji1; Saeid Yazdani* 2; Iraj Saleh3
1MSc. Student, Agricultural Economics and Development, University of Tehran
2Professor, Agricultural Economics and Development, University of Tehran
3Associate Professor, Agricultural Economics and Development, University of Tehran
Abstract
According to the increasing demand for water in agriculture section and limited water resources in Iran, it is important to pay attention to the problem of water resources crisis and ways to improve the level of efficiency and productivity of it. Hence, due to the high consumption of water resources in the production of wheat as a strategic crop in Iran, in this study, efficiency of water use in wheat producers of Alborz province was calculated by using data envelopment analysis and the completion of 200 questionnaires in the year of 1394. Also, factors affecting water use efficiency were analyzed by using Tobit regression model. Results show that the average technical efficiency in the condition of constant and variable return to scale is 74 and 78 %, respectively and the average water use efficiency in these two conditions is 88 and 90%, respectively. According to the results, variables of farmer experience, level of education, land ownership and water price have positive effect and the variables of distance from farm to water resource, farmer participation in training classes and membership in cooperatives have negative and significant effect on water use efficiency. According to the findings, it seems that revisions of extension services provided to farmers, as well as change in management of rural cooperatives play an important role in improving water use efficiency in the region.
Keywords
Water Efficiency; Data Envelopment Analysis; Wheat; Alborz; Iran
References
  1. Alene, A.D. & Zeller, M. (2005). Technology adoption and farmer efficiency in multiple
    crops production in eastern Ethiopia: a comparison of parametric and nonparametric distance functions. Agricultural Economics, 6, 5–17.
  2. Alipour, A. Vakilpour, M. Afshartabar, R & Nikzad, M. (2012). The study of water use efficiency in Zarghan region. Journal of Water Research in Agriculture. 26(4), 405-414.
  3. Babayi, M. Mardani, M. & Salarpour, M. (2014). Identifying water use efficiency in main agricultural products of Zabol region: DEA approach. Journal of Water Research in Agriculture, 28(3), 541-549.
  4. Banker, R.D., Charnes, A., &Cooper, W.W. (1984). Some models for estimating technical
    and scale inefficiencies in data envelopment analysis. Management Science, 30 (9), 1078–
    1092.
  5. Charnes, A., Cooper, W. W. & Rhodes, E. (1978). Measuring the inefficiency of decision making units. European Journal of operational Research, 2(6), 429-444.
  6. Charnes, A., Cooper, W. W., Lewin, A. Y. & Seiford, L. M. (1994). Dataenvelopment analysis: theory, methodology and applications. Kluwer Academic
    Publishers. Boston.
  7. Charnes, A., Cooper, W.W., & Rhodes, E. (1978). Measuring the efficiency of decision
    making units. European Journal of Operational Research. 2, 429–444.
  8. Chebil   A.   Frija   A.   & Abdelkafi   B.   (2012).   Irrigation   water   use   efficiency   in   collective   irrigated   schemes   of   Tunisia:   determinants   and   potential   irrigation   cost   reduction, Agricultural   Economics   Review, 13(1), 39-48.
  9. Diaz, J. A. R., Poyato, E. C. & Luque, R. L. (2004). Application of data envelopment analysis to studies of irrigation efficiency in Andalusia in Thessaloniki plain. International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering, 130 (3), 175–183.

10. Emami meibodi, A. (2000), Measurement principles of efficiency and productivity. Institute for Trade Studies and Research. Second edition. PP: 125-151.

11. Farrell, M.J. (1957). The measurement of productiveefficiency. J. R. Stat. Soc. Ser. A
120 (III), 253–281.

12. Frija   A.   Chebil   A.   Speelman   S.   Buysse   J.   & Van Huylenbroeck   G.  (2009).   Water   use   and   technical   efficiencies   in   horticultural   greenhouses   in   Tunisia, Agricultural   Water   Management, 96, 1509-1516.

13. Lilienfeld,  A.   & Asmild,   M.   (2007).   Stimation   of   excess   water   use in irrigated agriculture:   A   data   invelopment   analysis   approach, Agricultural   Water   Management, 94, 73-82.

14. Manjunatha,   A.V.,   Speelman,  S.,  Chandrakanth,   M.G.,   & Van Huylenbroeck,   G.   (2011).   Impact   of   grandwater   markets   in   India   on   water   use   efiiciency. Journal   of   Environmental   Management, 92, 2924-2929.

15.Naseri Jahromi, M. Rasekh jahromi, A. & Mokameli jahromi, B. (2011). Estimation of water use efficiency in agiriculture sector. The third National conferece of DEA in Iran.

16. Neto Luiz, E., & Lins Marcos, P.E. (2004). Neural data envelopment analysis: A simulation, International Journal of Industrial Engineering, 11(1), 14-24.

17. Pendharkan, P.C. & Rodger, J.A. (2003). Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural networks under monotonicity assumption, Decision Support Systems, 36(1), 117-136.

18.Poor Asghar sangachin, F. (2000). Investigating challenges of water resources management in Iran. Journal of planning and budgeting, 67&68. 85-122.

19. Prakshan Chellattan Veetill. Stijn Speelman. Guido van Huylenbroeck. 2013. Estimating the impact of water pricing on water use efficiency in semi-arid cropping sustem: an application of probabilistically constrained nonparametric efficieny analysis. Water Resource Management, 27, 55-73.

20. Raju, K.S. & Kumar, D.N. (2006). Ranking irrigation planning alternatives using data envelopment analysis. Water Resource Management, 20, 553–566.

21. Saboohi, M. Khanjari, S. & Keikhah, A. (2008). Study of water use efficiency in conservatory of Sistan province. Journal of Agricultural Economics, 4(3), 91-102.

22. Shaabani, M.K. & Honar, T. (1999). Determination of the optimum cropping pattern in irrigation canals with the use of IPM model. Journal of Water and Soil, 22(22), 95-106.

23. Speelman, S., D’Haese, M., Buysse, J. & D’Haese, L. (2008). A measure for the efficiency of water use and its determinants, study at small-scale irrigation schemes in North-West Province, South Africa. Agricultural System, 98 (1), 31–39.

24. Thiam, A., Bravo-Ureta, B.E., & Rivas, T.E., (2001). Technical efficiency in developing
country agriculture: a Meta-analysis. Agricultural Economics. 25, 235–243.

25. Wadud, A., & White, B., (2000). Farm household efficiency in Bangladesh: a comparison
of stochastic frontier and DEA methods. Applied Economics, 32, 1665–1673.

26. Wang, X. (2010). Irrigation Water Use Efficiency of Farmers and Its Determinants: Evidence from a Survey in Northwestern China. Agricultural Sciences in China, 9(9), 1326-1337.

Yilmaz, B., Yurduse, M. & Harmancioglu, N. (2009). The Assessment of irrigation efficiency in Buyuk Menderes basin. Water Resource Management, 23, 1081-1095.

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