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A Spatial Multivariate Count Model For Firm Location Decisions

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  • Chandra R. Bhat
  • Rajesh Paleti
  • Palvinder Singh

Abstract

type="main"> This paper proposes a new spatial multivariate model to predict the count of new businesses at a county level in the state of Texas. Several important factors including agglomeration economies/diseconomies, industrial specialization indices, human capital, fiscal conditions, transportation infrastructure, and land development characteristics are considered. The results highlight the need to use a multivariate modeling system for the analysis of business counts by sector type, while also accommodating spatial dependence effects in business counts.

Suggested Citation

  • Chandra R. Bhat & Rajesh Paleti & Palvinder Singh, 2014. "A Spatial Multivariate Count Model For Firm Location Decisions," Journal of Regional Science, Wiley Blackwell, vol. 54(3), pages 462-502, June.
    • Handle: RePEc:bla:jregsc:v:54:y:2014:i:3:p:462-502
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