A SPATIAL MULTIVARIATE COUNT MODEL FOR FIRM LOCATION DECISIONS
type="main"> <title type="main">ABSTRACT</title> <p>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.
Year of publication: |
2014
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Authors: | Bhat, Chandra R. ; Paleti, Rajesh ; Singh, Palvinder |
Published in: |
Journal of Regional Science. - Wiley Blackwell, ISSN 0022-4146. - Vol. 54.2014, 3, p. 462-502
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Publisher: |
Wiley Blackwell |
Saved in:
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