IDEAS home Printed from https://ideas.repec.org/p/ags/aaea13/149991.html
   My bibliography  Save this paper

California Farmland Valuation: A Hedonic Approach

Author

Listed:
  • Cai, Xiaowei
  • Noel, Jay E.

Abstract

The determinants of regional farmland values are evolving over time and the farmland value growth varies by regions. As a result, the new regional farmland valuation models need to be dynamically updated with the changes in public policy, input and output markets and regional environmental amenities. This study used a Hedonic pricing model to examine the key determinants that influence the farmland values in 26 counties of California across the seven regions based on the different crop varieties and county-level economic characteristics. Specifically, we analyzed the relationship between variables that are deemed to influence demand, supply and the agricultural land values. The estimation results show that the farmland value in California is mostly determined by the production, productivities and dollar returns to the tree nuts, citrus and wine grapes. Specifically, higher productivity and net returns contribute to the increase in the farmland values. Urban influence factors have been playing a critical role in affecting the overall farmland value. For example, each additional acre of land converted to urban use raises the farmland value by $0.89 per acre. In addition, high real estate earnings might lead to rising farmland values. However, high farm earnings per capita could lower the farmland value, which suggests a tendency of witching from pursuing economies of scale to pursuing high value-added crop production that needs less farmland. Finally, high per-capita GDP and high population density can increase the farmland values.

Suggested Citation

  • Cai, Xiaowei & Noel, Jay E., 2013. "California Farmland Valuation: A Hedonic Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149991, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea13:149991
    DOI: 10.22004/ag.econ.149991
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/149991/files/AAEA%20poster%201991.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.149991?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Agribusiness; Land Economics/Use;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:aaea13:149991. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    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.