IDEAS home Printed from
   My bibliography  Save this paper

Demand for Irrigation Water for Pistachio Production from Depleting Groundwater Resources: Spatial Econometric Approach


  • Jaghdani, Tinoush Jamali
  • Brümmer, Bernhard


Depletion of groundwater resources is an international problem, and groundwater is probably the world’s most extracted raw material. The agriculture sector is one of the biggest users of groundwater resources for irrigation activities, and it plays an important role in the depletion of these resources. The estimation of demand function for groundwater resources is the first step toward any policy recommendation in this field of research. However, only scarce attention has been given to empirical studies of the demand structure of groundwater resources by the help of econometrics and considering the quality of the resources in the context of a single aquifer. Therefore, an empirical estimation of the demand function for individual users which considers water quality enhances further economic analysis and results in better policy recommendations. In this study, we have analysed the economic factors and the groundwater quality as influencing variables on derived demand function for irrigation water in the pistachio production of the Rafsanjan aquifer in the southeastern part of Iran. The field study was conducted from November 2008- February 2009. Translog cost function has been applied for the estimation of the derived demand function for groundwater in pistachio production and its shadow price. The spatial econometrics has been applied to correct the results. Results show that water pumping costs are much less than their shadow prices.

Suggested Citation

  • Jaghdani, Tinoush Jamali & Brümmer, Bernhard, 2011. "Demand for Irrigation Water for Pistachio Production from Depleting Groundwater Resources: Spatial Econometric Approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114457, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaae11:114457

    Download full text from publisher

    File URL:
    Download Restriction: no

    References listed on IDEAS

    1. Kelejian, Harry H. & Robinson, Dennis P., 1992. "Spatial autocorrelation : A new computationally simple test with an application to per capita county police expenditures," Regional Science and Urban Economics, Elsevier, vol. 22(3), pages 317-331, September.
    2. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    3. Kelejian, Harry H. & Prucha, Ingmar R., 2004. "Estimation of simultaneous systems of spatially interrelated cross sectional equations," Journal of Econometrics, Elsevier, vol. 118(1-2), pages 27-50.
    4. Phoebe Koundouri, 2004. "Current Issues in the Economics of Groundwater Resource Management," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 703-740, December.
    5. Rulon D. Pope & Robert G. Chambers, 1989. "Price Aggregation When Price-Taking Firms' Prices Vary," Review of Economic Studies, Oxford University Press, vol. 56(2), pages 297-309.
    6. Robert Halvorsen & Tim R. Smith, 1991. "A Test of the Theory of Exhaustible Resources," The Quarterly Journal of Economics, Oxford University Press, vol. 106(1), pages 123-140.
    7. Henningsen, Arne & Hamann, Jeff D., 2007. "systemfit: A Package for Estimating Systems of Simultaneous Equations in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i04).
    8. Jeffrey P. Cohen & Catherine Morrison Paul, 2007. "The Impacts Of Transportation Infrastructure On Property Values: A Higher-Order Spatial Econometrics Approach," Journal of Regional Science, Wiley Blackwell, vol. 47(3), pages 457-478.
    9. Guyomard, Herve & Vermersch, Dominique, 1989. "Derivation of long-run factor demands from short-run responses," Agricultural Economics, Blackwell, vol. 3(3), pages 213-230, October.
    10. Boland, Michael A. & Marsh, Thomas L., 2006. "Input Quality in the Sugar Beet Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(01), April.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Groundwater resources; derived demand function; pistachio; Rafsanjan; Crop Production/Industries; Resource /Energy Economics and Policy;

    NEP fields

    This paper has been announced in the following NEP Reports:


    Access and download statistics


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:eaae11:114457. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.