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Exploring Firm Location Beyond Simple Growth Models: A Double Hurdle Application

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  • Davis Reum, Alison
  • Harris, Thomas R.

Abstract

Firm location decisions are typically influenced by economic, demographic, environmental, and social factors. This research extends the current literature by investigating the factors thought to influence the total number of manufacturing firms within a given region. Given the large number of regions without any manufacturing firms, a double hurdle model is employed to account for excess zeros. The results suggest that there are certain industry input variables, such as population and education that make a region an attractive or unattractive location for a particular manufacturing firm.

Suggested Citation

  • Davis Reum, Alison & Harris, Thomas R., 2006. "Exploring Firm Location Beyond Simple Growth Models: A Double Hurdle Application," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 36(1).
  • Handle: RePEc:ags:jrapmc:132313
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    References listed on IDEAS

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    1. Bartik, Timothy J, 1985. "Business Location Decisions in the United States: Estimates of the Effects of Unionization, Taxes, and Other Characteristics of States," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(1), pages 14-22, January.
    2. John C. Leatherman & Donald J. Howard & Terry L. Kastens, 2002. "Improved Prospects for Rural Development: An Industrial Targeting System for the Great Plains," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 24(1), pages 59-77.
    3. Newman, Robert J. & Sullivan, Dennis H., 1988. "Econometric analysis of business tax impacts on industrial location: What do we know, and how do we know it?," Journal of Urban Economics, Elsevier, vol. 23(2), pages 215-234, March.
    4. Thomas J. Holmes, 1998. "The Effect of State Policies on the Location of Manufacturing: Evidence from State Borders," Journal of Political Economy, University of Chicago Press, vol. 106(4), pages 667-705, August.
    5. Paulo Guimaraes & Octávio Figueiredo & Douglas Woodward, 2004. "Industrial Location Modeling: Extending the Random Utility Framework," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 1-20.
    6. Todd M. Gabe & Kathleen P. Bell, 2004. "Tradeoffs between Local Taxes and Government Spending as Determinants of Business Location," Journal of Regional Science, Wiley Blackwell, vol. 44(1), pages 21-41.
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    Cited by:

    1. repec:bla:revurb:v:29:y:2017:i:1:p:18-45 is not listed on IDEAS
    2. Randall Akee & Elton Mykerezi & Richard M. Todd, 2017. "Reservation Employer Establishments: Data from the U.S. Census Longitudinal Business Database," Working Papers 17-57, Center for Economic Studies, U.S. Census Bureau.
    3. Hu, Wuyang & Cox, Linda J. & Wright, Joan & Harris, Thomas R., 2008. "Understanding Firms' Relocation and Expansion Decisions Using Self-Reported Factor Importance Rating," The Review of Regional Studies, Southern Regional Science Association, vol. 38(1), pages 67-88.

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    Keywords

    Production Economics;

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