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Spatial Variation of Nonmetropolitan Industrial Location


  • Ambrose, Brent W
  • Springer, Thomas M


This study examines economic development and industrial location in the rural Southeast using a varying coefficient model. Empirical results generated with a Poisson regression show that the varying coefficient model is appropriate and that the posited variables help explain the number of manufacturing firms which have located to a rural county. The model distinguishes between the ability of a county to attract industry both independent of distance and as a function of the distance to the nearest strategic urban center. Differences exist between the locational preferences of traditional industry and nontraditional (diversification-enhancing) industry. Copyright 1993 by Kluwer Academic Publishers

Suggested Citation

  • Ambrose, Brent W & Springer, Thomas M, 1993. "Spatial Variation of Nonmetropolitan Industrial Location," The Journal of Real Estate Finance and Economics, Springer, vol. 7(1), pages 17-27, July.
  • Handle: RePEc:kap:jrefec:v:7:y:1993:i:1:p:17-27

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    Cited by:

    1. Brent W. Ambrose & Thomas M. Springer, 1993. "Rural Industrial Location: The Impact of Firm Size," Journal of Real Estate Research, American Real Estate Society, vol. 8(3), pages 387-400.
    2. Mark D. Partridge & Dan S. Rickman, 1996. "County Unemployment In Georgia: The Causes And Potential Role For Economic Development Policy," The Review of Regional Studies, Southern Regional Science Association, vol. 26(1), pages 17-39, Summer.
    3. John Clapp & Mauricio Rodriguez, 1998. "Using a GIS for Real Estate Market Analysis: The Problem of Spatially Aggregated Data," Journal of Real Estate Research, American Real Estate Society, vol. 16(1), pages 35-56.

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