IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v43y2011i24p3265-3274.html
   My bibliography  Save this article

Conjoint analysis of industry location preferences: evidence from the softwood lumber industry in the US

Author

Listed:
  • Francisco Aguilar

Abstract

Conjoint Analysis (CA) was used to study location preferences among members of the softwood lumber industry in the southern and western regions of the US. This industry was selected as an example of a resource-based industry to test several hypotheses derived from location theory. Decision-makers, owners and managers, identified price of logs and distance to sources for logs as the most important location factors. A secondary category included wages and energy costs. Other variables such as cost of land, quality of access roads and distance to markets are less important. There were statistically significant differences in the part-worth estimates of raw materials and wage costs among decision-makers but not between regions in an ordered model for site preference. Marginal analysis of the price of logs stressed its importance as the major location factor in the softwood lumber industry.

Suggested Citation

  • Francisco Aguilar, 2011. "Conjoint analysis of industry location preferences: evidence from the softwood lumber industry in the US," Applied Economics, Taylor & Francis Journals, vol. 43(24), pages 3265-3274.
    • Handle: RePEc:taf:applec:v:43:y:2011:i:24:p:3265-3274
    DOI: 10.1080/00036840903508387
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/00036840903508387
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036840903508387?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
    ---><---

    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. Kushagra Kulshreshtha & Vikas Tripathi & Naval Bajpai, 2018. "1971–2017: Evolution, exploration and test of time of conjoint analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2893-2919, November.

    More about this item

    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:taf:applec:v:43:y:2011:i:24:p:3265-3274. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.