Agricultural Economics and Development

Agricultural Economics and Development

Determining the Optimal Cropping Pattern with Emphasis on Water Resources Limitation in Arzuiyeh County

Document Type : Original Article

Authors
Shiva saljooghi 1
Mashallah Salarporsalarpour 2
M. Ahmadpour 3
Alireza Sargazi 2
1 MSc. Graduate in Agricultural Economics, University of Zabol (UOZ), Zabol, Iran.
2 Assistant Professor, Department of Agricultural Economics, University of Zabol (UOZ), Zabol, Iran
3 Associate Professor, Department of Agricultural Economics, University of Zabol (UOZ), Zabol, Iran.
10.30490/aead.2021.252457.0
Abstract
Most of the methods used so far to determine the optimal cropping patterns have merely aimed at increasing the profits of producers. While in most parts of Iran, over-use of limited resources has jeopardized sustainable production. Therefore, it is necessary to consider the goals of minimizing the consumption of scarce inputs such as water in determining the optimal cropping pattern. The aim of the present study is to determine the optimal cropping pattern according to water shortage conditions in Arzuiyeh region of Kerman province in the 2013-14 crop year. For this purpose, positive mathematical programming method was used. The results showed that by applying a limit of 5 to 40% in the supply of irrigation water, the area under cultivation of all selected crops in the city of Arzuiyeh, except irrigated wheat, which is low in water use compared to other irrigated crops, is reduced. Therefore, the implementation of appropriate policy programs such as the guaranteed price of wheat and barley in line with inflation, determining the water rate paid by farmers in accordance with the trend of changes in the economic value of water in the long run and using the policy of limiting available water resources suggested.
Keywords
Positive Mathematical Programming
Maximum Entropy
Limitation of Water
Arzuiyeh County
  1. Asgaripour, A.R. and Bagheri, A. (2010). Modifying the strategic crop model for sustainable agricultural development. Rasht: Islamic Azad University, Rasht Branch/ Available at https://www.civilica.com/Paper-AGRI1404-AGRI1404_1023.html. (Persian)
  2. Alipour, A. and Mousavi, S.H. (2018). The optimal model of crop production with emphasis on increasing water use efficiency (case study: Gorgan Sample Farm Company). Iranian Water Resources Research. 14(4): 96-107. (Persian)
  3. Asadi, M.A., Khalilian, S. and Mousavi, S.H. (2019). Optimal water management and cultivation pattern with emphasis on under-irrigation strategy (case study: Qazvin Irrigation Network. Iran Water Resources Research, 14(5): 1-13. (Persian)
  4. Bakhshi, A., Moghaddasi, R. and Daneshvar Kakhki, M. (2011). An application of positive mathematical programming model to analyzing the effects of alternative policies to water pricing in Mashhad Plain. Journal of Agricultural Economics and Development, 35(3): 284-295. (Persian)
  5. Cortignani, R. and Severini, S. (2009). Modeling farm-level adoption of deficit irrigation using Positive Mathematical Programming. Agricultural Water Management, 96(12): 178-197.
  6. Fallahi, E. and Khalilian, S. (2009). Study and comparison of the importance of oil products and electricity with other production factors in x agricultural sector of Iran. Agricultural Economics Research, 1(2): 1-12. (Persian)
  7. Fragoso, R., Marques, C., Lucas, M.R., Martins, M.D.B. and Jorge, R. (2011). The economic effects of common agricultural policy on Mediterranean Montado/Dehesa ecosystem. Journal of Policy Modeling, 33(2): 311-327.
  8. Hatef, H., Sarvari, A.A., Daneshvar Kakhki, M. (2016). Determining the optimal cultivation pattern of major crops in Khorasan Razavi province based on comparative advantage of production. Agricultural Economics Research, 8(31): 167-191. (Persian)
  9. Heckelei, T. (2002). Calibration and estimation of programming models for agricultural supply analysis. Landwirtschaftlichen Fakultät derRheinischen Friedrich-Wilhelms-Universität Bonn.
  10. Helming, J.F., Peeters, L. and Veendendaal, P. (2001). Assessing the consequences of environmental policy scenarios in Flemish agriculture (pp. 237-245). Vauk.
  11. Howitt, R.E. (1995). Positive mathematical programming. American Journal of Agricultural Economics, 77(2): 329-342.
  12. Howitt, R.E., Medellín-Azuara, J., MacEwan, D. and Lund, J.R. (2012). Calibrating disaggregate economic models of agricultural production and water management. Environmental Modelling and Software, 38: 244-258.
  13. Judez, L., Martinez, S. and Fuentes-Pila, J. (1998). Positive mathematical programming revisited. Paper Presented at the Trabajo Presentado al Meeting de Madrid.
  14. Lehmann, N., Briner, S. and Finger, R. (2013). The impact of climate and price risks on agricultural land use and crop management decisions. Land Use Policy, 35: 119-130.
  15. MAJ (2014). Statistics of crops cultivated area in Kerman province. Ministry of Agriculture-Jahad (MAJ), Agriculture-Jahad Organization of Kerman Province. Available at http://www.agriis.ir/doc/30060/. (Persian)
  16. Medellin-Azuara, J., Howitt, R. and Harou, J. (2012). Predicting farmer responses to water pricing, rationing and subsidies assuming profit maximizing investment in irrigation technology. Agricultural Water Management, 108: 73-82.
  17. Mohammadi, H., Sargazi, A.R., Dehbashi, V. and Poudineh, M. (2015). Optimization of cropping pattern with an emphasis on social benefits in the rational exploitation of water (a case study of Fars province). Journal of Environmental Science and Technology, 17(4): 107-115. (Persian)
  18. 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.
  19. Riazi, H. and Montazeri, A. (2008). Development and application of optimal allocation model for groundwater and surface water resources of Qazvin Plain Irrigation Network. The Second National Conference on Irrigation and Drainage Networks Management, Shahid Chamran University of Ahvaz. (Persian)
  20. Sabouhi, M., Soltani, G. and Zibaei, M. (2007). Evaluation of the strategies for groundwater resources management: a case study in Narimani Plain, Khorasan Province. JWSS-Isfahan University of Technology, 11(1): 475-485. (Persian)
  21. Sethi, L.N., Panda, S.N. and Nayak, M.K. (2006). Optimal crop planning and water resources allocation in a coastal groundwater basin, Orissa, India. Agricultural WDter Management, 83(3): 209-220.
  22. Shirmahi, S., Peykani, G.R., Mortazavi, S.A. and Zamani, O. (2014). Evaluating the effect of removing of chemical fertilizers subsidy on the cropping pattern in Rey County. Journal of Agricultural Economics Research, 6(21): 155-176. (Persian)
  23. Zamanian, Gh., Jafari, M. and Kalaei, A. (2014). Effect of environmental stress and increase of agricultural inputs on the Khomein Plain cropping pattern. Agricultural Economics and Development, 22(87): 89-110. (Persian)
  24. Zare Mehrjerdi, M. (2007). Valuation of groundwater in agriculture: a case study of Kerman County. Agricultural Economics Dissertation, Tarbiat Modarres University, Tehra. (Persian)