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The Locational Determinants Of Western Nonmetro High Tech Manufacturers: An Econometric Analysis

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  • Barkley, David L.
  • Keith, John E.

Abstract

The Tobit estimation procedure was used to determine the factors which influence the location and size of high technology manufacturers in nonmetro areas in the West. The results indicate that high tech branch plants tend to locate in populous counties adjacent to Metropolitan Statistical Areas (MSAs). Percent of local employment in manufacturing and agriculture was inversely related to branch plant employment, and the stock of human capital was not significantly related to employment. High tech unit plants also exhibited a propensity to locate in the more populous counties. Unlike branch plants, the unit concerns were more likely to develop or locate in communities with a highly educated work force and at greater distances from metro areas. The unit plants better fit the perception of high tech plants selecting high amenity locations with abundant skilled labor.

Suggested Citation

  • Barkley, David L. & Keith, John E., 1991. "The Locational Determinants Of Western Nonmetro High Tech Manufacturers: An Econometric Analysis," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(2), pages 1-14, December.
    • Handle: RePEc:ags:wjagec:32592
    DOI: 10.22004/ag.econ.32592
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    References listed on IDEAS

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    1. Norris, Patricia E. & Batie, Sandra S., 1987. "Virginia Farmers' Soil Conservation Decisions: An Application Of Tobit Analysis," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 19(1), pages 1-12, July.
    2. Kevin T. McNamara & Warren P. Kriesel, 1988. "Manufacturing Location: the Impact of Human Capital Stocks and Flows," The Review of Regional Studies, Southern Regional Science Association, vol. 18(1), pages 42-48, Winter.
    3. David L. Barkley & Roger A. Dahlgran & Stephen M. Smith, 1988. "High-Technology Manufacturing in the Nonmetropolitan West: Gold or Just Glitter," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 560-571.
    4. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
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    Cited by:

    1. Georgeanne M. Artz & Younjun Kim & Peter F. Orazem, 2016. "Does Agglomeration Matter Everywhere?: New Firm Location Decisions In Rural And Urban Markets," Journal of Regional Science, Wiley Blackwell, vol. 56(1), pages 72-95, January.
    2. Marre, Alexander W. & Rupasingha, Anil, 2016. "School Quality and the Urban-Rural Migration of Firms," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235965, Agricultural and Applied Economics Association.
    3. Wojan, Timothy R. & McGranahan, David A., 2007. "Ambient Returns: Creative Capital's Contribution to Local Manufacturing Competitiveness," Agricultural and Resource Economics Review, Cambridge University Press, vol. 36(1), pages 133-148, April.
    4. Maureen Kilkenny, 2010. "Urban/Regional Economics And Rural Development," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 449-470, February.

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