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

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  • 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.

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  • 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
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    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.

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