Selecting Strategic Policy for Irrigation Water Management (Case Study: Qazvin Plain, Iran)

Document Type : Original Research

Authors
R. Radmehr 1
M. Ghorbani 1
S. Kulshreshtha 2
1 Department of Agricultural Economics, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran.
2 Department of Agricultural and Resource Economics, University of Saskatchewan, Saskatoon, SK, Canada.
Abstract
Water is considered as the most important component, but a limiting input, for agricultural production in Iran. In the context of water resources management, due to the limited availability of water and high cost of supplying it to the users, improvement of water use productivity has been regarded as one of the most appropriate approaches to manage water demand. Various tools have been applied for water management policy in the context of preventing high levels of water deficit. In the present study, different policy scenarios related to water supply management are assessed. These include estimation of the impacts of each policy scenario on physical and economic productivity indices and employment, using positive mathematical programming methods and maximum entropy. This methodology was applied to water use in the Qazvin Plain, Iran. Results suggested that application of these policy scenarios not only decreased water consumption but also generated desirable social and economic effects. Results of the ranking showed that the policy of imposing tax on input generated the best results for the study area. However, it is admitted that selection of the best policy scenario is dependent on the weight that policy makers would select for various indicators.

Keywords

Subjects

Belton V. and Stewart T. 1998. Multiple criteria decision analysis: an integrated approach. 2002. Bianchi, ACM, et al. Manual de orientação: estágio supervisionado. São Paulo: Pioneira.
Bouman B. and Tuong T. P. 2001. Field water management to save water and increase its productivity in irrigated lowland rice. Agricultural Water Management 49(1): 11-30. DOI: 10.1016/S0378-3774(00)00128-1.
Cai X., McKinney, D. C., and Rosegrant, M. W. 2003. Sustainability analysis for irrigation water management in the Aral Sea region. Agricultural systems 76(3): 1043-1066.DOI: 10.1016/S0308-521X(02)00028-8.
Cortignani, R. and Severini S. 2009. Modeling farm-level adoption of deficit irrigation using Positive Mathematical Programming. Agricultural Water Management 96(12): 1785-1791.DOI: 10.1016/j.agwat.2009.07.016.
de Almeida, A. T., 2007. Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method. Computers & Operations Research 34(12): 3569-3574. DOI:10.1016/j.cor.2006.01.003.
Dinar, A., 2000. The political economy of water pricing reforms: World Bank.
Ehsani, M., and Khaledi, H. 2003. Agricultural water productivity. Iran Irrigation and Drainage National Committee. Tehran.
Gallego-Ayala, J. 2012. Selecting irrigation water pricing alternatives using a multi-methodological approach. Mathematical and Computer Modelling 55(3): 861-883. DOI: 10.1016/j.mcm.2011.09.014.
Gomez-Limon, J.A. and Martinez, Y. 2006. Multi-criteria modeling of irrigation water market at basin level: a Spanish case study. European journal of operational research 173(1): 313-336. DOI: 10.1016/j.ejor.2004.12.009.
He, L., Tyner, W. E., Doukkali, R., and Siam, G. 2005. Strategic policy options to improve irrigation water allocation efficiency: analysis on Egypt and Morocco. 2005 Annual meeting, July 24-27, Providence, RI: American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
He L, Tyner W E, Doukkali R, Siam G. 2006. Policy options to improve water allocation efficiency: analysis on Egypt and Morocco. Water International 31(3): 320-337. DOI: 10.1080/02508060608691935.
Howitt, R. E. 1995. Positive mathematical programming. American Journal of Agricultural Economics 77(2): 329-342.DOI: 10.2307/1243543.
Jahanshahloo, G, R., Lotfi, F. H., and Izadikhah, M. 2006. An algorithmic method to extend TOPSIS for decision-making problems with interval data. Applied mathematics and computation 175(2): 1375-1384.DOI: 10.1016/j.amc.2005.08.048.
Johansson, R .C., Tsur, Y., Roe, T. L., Doukkali, R., and Dinar, A. 2002. Pricing irrigation water: a review of theory and practice. Water policy 4(2): 173-199. DOI: 10.1029/WR025i005p00767.
Jordan, A. 2012. Environmental policy in the European :union:: actors, institutions and processes: Earthscan.
Latinopoulos, D. 2008. Estimating the potential impacts of irrigation water pricing using multicriteria decision-making modeling. An application to Northern Greece. Water resources management 22(12): 1761-1782. DOI: 10.1007/s11269-008-9252-x.
Liu, J., Zehnder, A. J. and Yang, H. 2008. Drops for crops: modeling crop water productivity on a global scale. Global NEST Journal 10(3): 295-300.
Mittelhammer, R. C. 2000. Econometric Foundations Pack with CD-ROM: Cambridge University Press.
Molden, D., Oweis, T., Steduto, P., Bindraban, P., Hanjra, M. A. and Kijne J. 2010. Improving agricultural water productivity: between optimism and caution. Agricultural Water Management 97(4): 528-535.DOI: 10.1016/j.agwat.2009.03.023.
Molle, F. and Center, D. 2001. Water pricing in Thailand: Theory and practice: DORAS Center, Kasetsart University.
Molle, F. 2002. Economic tools for water demand management in Thailand: conventional wisdom and the real world. ACIAR PROCEEDINGS: ACIAR; 1998. 209-223.
Ogg, C. W. and Gollehon, N. R. 1989. Western irrigation response to pumping costs: a water demand analysis using climatic regions. Water Resources Research 25(5):767-773. DOI: 10.1029/WR025i005p00767.
Paris, Q. and Howitt, R. E. 1998. An analysis of ill-posed production problems using maximum entropy. American Journal of Agricultural Economics 80(1): 124-138.
Perry, C. J. 2001. Charging for irrigation water: The issues and options, with a case study from Iran: IWMI.
Pimentel, D., Houser, J., Preiss, E., White, O., Fang, H., Mesnick, L., Barsky, T., Tariche, S., Schreck, J. and Alpert, S. 1997. Water resources: agriculture, the environment, and society. BioScience, 97-106. DOI:10.1023/A:1024214812527.
Röhm, O. and Dabbert, S. 2003. Integrating agri-environmental programs into regional production models: an extension of positive mathematical programming. American Journal of Agricultural Economics 85(1): 254-265.
Roy, B. and Vanderpooten, D. 1996. The European school of MCDA: Emergence, basic features and current works. Journal of Multi‐Criteria Decision Analysis 5(1): 22-38.DOI: 10.1016/j.cor.2006.01.003.DOI: 10.1002/(SICI)1099-1360(199603)5:1<22::AID-MCDA93>3.0.CO; 2-F.
Seckler, D. W. 1996. The new era of water resources management: from" dry" to" wet" water savings: IWMI.
Serageldin, I. 1995. Water resources management: a new policy for a sustainable future. Water International 20(1): 15-21. DOI: 10.1080/07900629550042191.
Shanian, A. and Savadogo, O. 2006. ELECTRE I decision support model for material selection of bipolar plates for Polymer Electrolyte Fuel Cells applications. Journal of New Materials for Electrochemical Systems 9(3): 191.
Tsur, Y. and Dinar, A. 1997. The relative efficiency and implementation costs of alternative methods for pricing irrigation water. The world bank economic review 11(2): 243-262. DOI: 10.1093/wber/11.2.243.
Viala, E. 2008. Water for food, water for life a comprehensive assessment of water management in agriculture. Irrigation and Drainage Systems 22(1): 127-129. DOI: 10.1007/s10795-008-9044-8.
Yousefi, A. 2010. The impact of water scarcity in iranian economy: Acomputable general equilibrium analysis. Ph.D. thesis. Tarbiat Modares university.
Yousefi, A., Khalilian, S. and Balali, H. 2011. Strategic importance of water in iranian overall economy: A CGE modeling approach. Journal of Agricultural Economics and Development 25(1):109-120.
Journal of Agricultural Science and Technology
Volume 22, Issue 2
March and April 2020
Pages 579-593