Assessing the Value of Groundwater by The Farmers’ Contribution to Kashmar Plain

Document Type : Article frome a thesis

Authors

1 Ph.D. student of Agricultural Economics, Faculty of Environmental Sciences and Agriculture, Sistan and Baluchestan of University, Iran

2 Professor of Agricultural Economics, Faculty of Environmental Sciences and Agriculture, Sistan and Baluchestan of University, Iran

3 Assistant Professor of Agricultural Economics, Faculty of Environmental Sciences and Agriculture, Sistan and Baluchestan of University, Iran

4 Assistant Professor of Agricultural Economics, Faculty of Environmental Sciences and Agriculture Sistan and Baluchestan of University, Iran

Abstract

Abstract
Introduction: Due to the semiarid and arid regions of Iran, it is suffering from water scarcity and severe droughts. Khorasan Razavi province is no exception to this rule, and accordingly it is facing the lack of sufficient water resources, which need to be improved by approaches used for optimal allocation of water resources. Water pricing can be an effective tool of demand management and the optimal allocation of water resources as well the protection of water resources.
Methods: Therefore, the aim of this study was to investigate the willingness to pay (WTP) for irrigation water for the cities of Kashmar, Kuhsorkh, Khalilabad and Bardeskan using the Heckman’s two-stage model during 2019-2020.
Findings: The results demonstrated that 40 % of farmers were willing to pay more than the current tariff for access to irrigation water. Thus, the mean WTP for irrigation water was 518, 594, 606 and 569 Rials for the cities of Kashmar, Kuhsorkh, Khalilabad and Bardeskan, respectively. The results of the ordinary least squares (OLS) also showed that the farmer's income had the highest positive effect on WTP for irrigation water with a coefficient of 0.21, indicating that the higher the income of farmers consuming irrigation water, the higher the farmers’ WTP for using irrigation water in order to have easier access to water resources. However, variables, such as dependency burden and area of cultivation had a significant negative effect on WTP for irrigation water, suggesting that as the dependency burden, and area of cultivation increased, farmers was less willing to pay for the use of irrigation water. Given the importance of water for the farmers living in the study regions and their high WTP, it therefore is recommended to provide better and easier access to water resources for the farmers by transporting water from the water-rich region to water-scarce one.

Keywords

Main Subjects


  1. Acey, C., KisianganiI, J., Ronoh, P., Delaire, C., Makena, E., Norman, G., Levine, D., Khush, R. and Peletz, R. J. W. D. 2019. Cross-subsidies for improved sanitation in low income settlements: Assessing the willingness to pay of water utility customers in Kenyan cities. 115:160-177.
  2. Amirnjad, H., Fazelian, S., and Hosseini Yekani, S. A. 2018. Determining the Water Economic Value for Quality and High-yielding Rice (Case Study Behshahr Plain, Mazandaran Province). Agricultural Economics Research, 10(39), 241-260. [In Persian].
  3. Asadi, M. A., Khalilian, S., and Mosavi, S. H. 2019. Assessment of water economic value in wheat and rapeseed farms (Case Study: Qazvin plain irrigation network). Water Resources Engineering, 12(40), 137-148. [In Persian].
  4. Asadzadeh, A. Behbodhi, D., and Sarmi, M., 2014. Determining the resort value of Kandavan tourist village by regional travel cost method. Journal of Geography and Planning. 19(51): 1-20. [In Persian].
  5. Brower, R., Job, F. C., Vanderkroon, B., Johnston, R. J. and Policy, H. 2015. Comparing willingness to pay for improved drinking-water quality using stated preference methods in rural and urban Kenya. 13: 81-94.
  6. Esmaili Mukherfardoyi, M. A., Ebrahimi, K., Iraqi-Najad, S., and Horfer, A., 2015. Evaluation of farmers' financial efficiency based on determining the economic value of water. Economic research and agricultural development of Iran. 47(1): 141-150. [In Persian].
  7. Isselhorst, S., Berking, J. and Schütt, B., 2018. Water pricing following rainfall distribution and its implications for irrigation agriculture: A case study from Vélez Blanco, Andalusia (1967–2006). Agricultural water management, 199, pp.34-47.
  8. Jin, J., Wang, Z. and Ran, S. J. 2006. Comparison of contingent valuation and choice experiment in solid waste management programs in Macao. 57:430-441.
  9. Khodavardizadeh, M. Hiati, b. Rahli, H. and Kaousi Kalsami M, 2014. Estimating the entertainment value and determining the factors affecting the willingness to pay of visitors to St. Stephen's Church using the two-stage Heckman method. Environmental Science and Technology Quarterly. 17(2): 105-117. [In Persian].
  10. Kontogianni, A., Langford, I. H., Papandreon, A. and Skourtos, M. 2003. Social preferences for improving water quality: an economic analysis of benefits from wastewater treatment. Water Resource Management, 17: 317-336.
  11. Momeni, M., Zakeri, Z., Esfandiari, M., Behzadian, K., Zahedi, S. and Razavi, V. 2019. Comparative analysis of agricultural water pricing between Azarbaijan Provinces in Iran and the state of California in the US: A hydro-economic approach. Agricultural Water Management 223:105724.
  12. Mu, L., Wang, C., Xue, B., Wang, H. and Li, S. 2019. Assessing the impact of water price reform on farmers’ willingness to pay for agricultural water in northwest China. Journal of Cleaner Production.
  13. Musa-Vand, S. and Ghaffari, H, 2014. Estimating Economic Value of Water in Onion Production in Zanjanrud Basin. Journal of Water Research in Agriculture, 29(4), 547-557. doi: 10.22092/jwra.2016.105828. [In Persian].
  14. Norozian, M., Hosseini, S. M., and Akbari, A. 2019. The Impact of Proposed Water Pricing Policies on the Comparative Advantage of Agricultural Products in Kashmar. Journal of Water Research in Agriculture, 33(2), 315-326. doi: 10.22092/jwra.2019.119745. [In Persian].
  15. Piri, H., and Heidari, M. 2018. Estimated Demand and Economic Value of Water in Production of Forage Sorghum in Sistan. Agricultural Economics Research, 10(38), 121-134. [In Persian].
  16. pouran, R., raghfar, H., ghasemi, A. R., and bazazanFormat without Comments.docx, F. 2017. Evaluating the economic value of virtual water with maximizing productivity of Irrigation water. Journal of Applied Economics Studies in Iran, 6(21), 189-212. doi: 10.22084/aes.2017.1803. [In Persian].
  17. Tobin, J. J. 1958 Estimation of relationships for limited dependent variables.: 24-36.
  18. ZrahtKish S.Y. 2016. Economic valuation of agricultural water with Environmental Restriction (Case Study of Lishter plain). Iranian Journal of Agricultural Economics and Development Research, 47(1), 259-269. doi: 10.22059/ijaedr.2016.58848. [In Persian].