Determining the Water Economic Value for Quality and High-yielding Rice (Case Study Behshahr Plain, Mazandaran Province)

Subject Areas : Agricultural Economics Research

HAMID AMIRNEJAD ¹ , Sekineh Fazelian ² , seyed Ali Hosseini Yekani ³

1 - دانشیار گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری
2 - دانشجوی کارشناسی ارشد گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری.
3 - ستادیار گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی ساری.

Received: 2017-09-05 Accepted : 2018-07-18 Published : 2018-09-23

Keywords: Rice, Water, Positive Mathematical Programming, Economic value, plain Behshahr,

Abstract :

The main problem of water resources management in the country, a balance between water supply and demand and to maintain this balance, the price or value of water is decisive role. The present study to determine the economic value of groundwater, for the long grain rice and long grain quality is high yielding. Information necessary to achieve the purpose of the survey of 205 rice farmers water their crops only for plain city water extracted from wells may have been collected in the crop year 1393-94. In determining the shadow price of water for the two varieties of rice in the way of positive mathematical programming (PMP), depending on the level of water available, farmers were divided into four groups studied and results showed that under scenarios of reduced 5 to 40 percent the amount of water, water prices respectively, in the first group (the most available water) and fourth (lowest available water) of 1810, 4370, 4770 and 4370 Rials was calculated to 3830 Rials is estimated at an average price of water is obtained

References:

 

- Amirnejad, H., Asadpour Kurdi, M., & Babaie, F. (2015). Determining economic value of water using linear programming model: Case study of Sari rice. Second National Conference on Agriculture and Sustainable Natural Resources. Arvand Mehr institute of higher education.

- Arfini, F., Donati, M., & Paris, Q. (2003). A national PMP model for policy evaluation in agriculture using micro data and administrative information. Paper presented at the International Conference Agricultural policy reform and the WTO: Where are we heading? Cari, Italy.

- Asadi, H., Soltani, Gh., & Torkamani, J. (2008). Irrigation water pricing in Iran a case study on land downstream of Taleghan dam. Agricultural Economics and Development Journal, 15(58): pp.61-89.

- Bakhshi, A., Daneshvar Kakhki, M., & Moghaddsi, R. (2011). An application of positive mathematical programming model to analyze the effects of alternative policies to water pricing in Mashhad plain. Agricultural Economics and Development Journal, 25(3): pp. 284-294.

- Company of Water resources management of the country. 2014.

- Domenico, P., Anderson, D.V., & Case, C. (1968). Optimal groundwater mining. Water Resource Research. 4(2): pp. 247-255.

- Fathi, F., and Zibaee, M. 2011. Loss of social welfare due to over exploitation of groundwater in Firozabad plain. Journal of Economics and Agricultural Development, 25(1): pp. 10-19.

- Fengjiao, M.B., Hui Gaoa, A., Egrinya, E., Zhanzhong, J., Lipu Hana., & Jintong L. (2016). An economic valuation of groundwater management for Agriculture in Luancheng County, North China. Agricultural Water Management. 163(1): pp. 28–36.

- Frija, A., & Chebil, A. (2013). Marginal value of irrigation water in wheat production systems of central Tunisia. 4th international conference of the African association of agricultural economists. Hammamet, Tunisia.

- Gayarti, A., & Barbier, E. (2000). Valuating groundwater recharge through agricultural production in the Hadejia-Nguru West land in northern Nigeria. Agricultural Economics. (22): pp. 247-259.

- Gharaghani, F., Boostani, F., & Soltani, G. (2009). Assessing the impact of reducing irrigation water and increasing its price on cropping pattern by positive mathematical programming model: A case study of Eghlid in Fars province. Journal of Agricultural Economics Research. 1(1): pp. 57-74.

- Howitt, R. E. (1995). Positive Mathematical Programming. American Journal of Agricultural Economics, 77: pp. 329-342.

- Keramatzadeh, A., Chizari, A., & Sharzehi Gh. (2011). The role of water market in determining the economic value of irrigation water through positive mathematical programming (PMP). Iranian Journal of Agricultural Economics and Development.  42-2(1): pp. 29-44.

- Keramatzadeh, A., Chizari, A., & Mirzaei, A. (2006). Determining the economic value of irrigation water through: Optimal cropping pattern for integrated farm and horticulture. Journal of Economics and Agricultural Development. 14(54): pp. 35-60.

- Lindgren, A. (1999). The value of water: a study of the Stampriet Aquifer in Namibia. Master Thesis, Umea University, Department of Economics.

- Medellín-Azuara, J., Harou, J.J., and Howitt, R.E. 2010. Estimating economic value of agricultural water under changing conditions and the effects of spatial aggregation. Science of the Total Environment, 408(23): pp. 5639-5648.

- Moenoddini, Z. (2011). Investigating the reaction of farmers to price policies and quotation of irrigation water in Kerman province Master of Science thesis, Agricultural Economics field. Department of agricultural economics, Faculty of agriculture, Zabol University.

- Moenoddini, Z., Salarpour, M., & Mohammadi, H. (2015). The implication of increasing the irrigation surface water price and decreasing the amount of available irrigation surface water in the farms of Kerman province using corrected positive mathematical programming. Journal of Economics and Agricultural Development, 23(89): pp. 21-46.

- Mohsenpour, R. (2000). Investigating the drought effects in the field level: Case study of Marvdasht area. Master of Science thesis, Shiraz University.

- Parhizkari, A., Sabuhi, M., & Ziaee, S. (2013). Simulation water market and analysis of the effects irrigation water sharing policy on cropping patterns under conditions of water shortage. Journal of Economics and Agricultural Development, 27(3): pp. 1-12.

- Paris, Q., & Howitt, R.E. (1998). An analysis of ill-posed production problems using Maximum Entropy. American Journal of Agricultural Economics, 80(1): pp. 124-138.

- Rahnama, A., Kohansal, M., & Dourandish, A. (2013). Estimating the economic value of water using positive mathematical programming in Quchan city. Journal of Agricultural Economics. 6(4): pp. 133-150.

- Riesgo, L., & Gomez-Limon, J.A. (2006). Multi-Criteria policy scenario analysis for public regulation of irrigated agriculture. Journal of Agricultural Systems, 91: pp. 1-28.

- Stock Company of MazandaranRregional Water. (2013).

- Ziolkowska, J.J. (2015). Evaluating the shadow price of water for irrigation: a case of the high plains. Agricultural and applied economics association 2014 annual meeting, Minneapolis, Minnesota.