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Spatial Variation of Nonmetropolitan Industrial Location

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Author Info

  • Ambrose, Brent W
  • Springer, Thomas M

Abstract

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

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Bibliographic Info

Article provided by Springer in its journal Journal of Real Estate Finance & Economics.

Volume (Year): 7 (1993)
Issue (Month): 1 (July)
Pages: 17-27

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Handle: RePEc:kap:jrefec:v:7:y:1993:i:1:p:17-27

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Web page: http://www.springerlink.com/link.asp?id=102945

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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. 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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