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Water Pricing for Agricultural Production in the South of Iran

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  • Abdoulkarim Esmaeili
  • Solmaz Vazirzadeh

Abstract

Appropriate water resource allocation in dry land area is very important for farm management. Although very few systems for water distribution have efficient pricing, water resources should be allocated so that the marginal cost equals the marginal value product of water for all uses and users. When the marginal values are not equal, it is always possible to find a reallocation of water that increases net social benefits. Microeconomic techniques used for estimating the value of water and determining farmers’ willingness to pay include: net-back analysis, hedonic models, and optimization models. The main objective of this study was to compare marginal value product of irrigation water applied to grow the selected crops in the southern Iran. We used net-back analysis to evaluate agricultural water value in the Hormozgan province (southern Iran). The empirical information is drawn from the agricultural service agencies and survey from farmer’s respondents. Data set is included quantity of output, prices, and costs of selected crops and water. The calculated net-back value for each product indicates the maximum ability to pay (MATP) or the shadow price of water used in irrigation. That is, if a farmer pays that amount for water he gets neither benefit nor loss. The results indicated that among selected crops, cucumber and lime had the highest return for water use. The most important management implication of this study is the reallocation of irrigation water according to the economic value of water in various crops. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • Abdoulkarim Esmaeili & Solmaz Vazirzadeh, 2009. "Water Pricing for Agricultural Production in the South of Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 957-964, March.
    • Handle: RePEc:spr:waterr:v:23:y:2009:i:5:p:957-964
    DOI: 10.1007/s11269-008-9308-y
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    References listed on IDEAS

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    2. Teresa Torregrosa & Martín Sevilla & Borja Montaño & Victoria López-Vico, 2010. "The Integrated Management of Water Resources in Marina Baja (Alicante, Spain). A Simultaneous Equation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3799-3815, November.
    3. Zohreh Sherafatpour & Abbas Roozbahani & Yousef Hasani, 2019. "Agricultural Water Allocation by Integration of Hydro-Economic Modeling with Bayesian Networks and Random Forest Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(7), pages 2277-2299, May.
    4. M. Majidi & A. Alizadeh & M. Vazifedoust & A. Farid & T. Ahmadi, 2015. "Analysis of the Effect of Missing Weather Data on Estimating Daily Reference Evapotranspiration Under Different Climatic Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2107-2124, May.
    5. Lan Mu & Chunxia Luo & Zongjia Tan & Binglin Zhang & Xiaojuan Qu, 2023. "Assessing the Impact of Different Agricultural Irrigation Charging Methods on Sustainable Agricultural Production," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    6. Sina Jahanshahi & Reza Kerachian & Omid Emamjomehzadeh, 2023. "A Leader-Follower Framework for Sustainable Water Pricing and Allocation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1257-1274, February.
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