[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/uwp/landec/v75y1999i4p562-578.html
   My bibliography  Save this article

Estimating Irrigators' Ability to Pay for Reclamation Water

Author

Listed:
  • Michael R. Moore
Abstract
The reclamation program sets prices based on irrigators' ability to pay for water. In contrast to the traditional approach (the farm budget study), this research develops a model of irrigator profit and ability to pay. The shadow price (marginal revenue) of water is shown to measure ability to pay per acre-foot of water. The model can be estimated econometrically with commonly available, although deficient, data. Using data from thirteen water districts in California, annual, district-level shadow price functions are derived for 1981-91 and compared to ability-to-pay estimates from a farm budget study of the districts.

Suggested Citation

  • Michael R. Moore, 1999. "Estimating Irrigators' Ability to Pay for Reclamation Water," Land Economics, University of Wisconsin Press, vol. 75(4), pages 562-578.
    • Handle: RePEc:uwp:landec:v:75:y:1999:i:4:p:562-578
    as

    Download full text from publisher

    File URL: http://www.jstor.org/stable/pdfplus/3147066
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Moolman, C.E. & Blignaut, J.N. & van Eyden, R., 2006. "Modelling the marginal revenue of water in selected agricultural commodities: A panel data approach," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(1), pages 1-11, March.
    2. Moore, Madison, 2015. "The Economics of Water: The Effects of Irrigation on Average Farm Revenue," SS-AAEA Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 2015, pages 1-13.
    3. Jian Shi & JunJie Wu & Beau Olen, 2022. "Impacts of climate and weather on irrigation technology adoption and agricultural water use in the U.S. pacific northwest," Agricultural Economics, International Association of Agricultural Economists, vol. 53(3), pages 387-406, May.

    More about this item

    JEL classification:

    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment

    Statistics

    Access and download statistics

    Corrections

    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:uwp:landec:v:75:y:1999:i:4:p:562-578. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: http://le.uwpress.org/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.