The authors are grateful to Lisa Macias for her help in formatting this document. Three referees provided valuable comments on an earlier version of the paper.
A SPATIAL MULTIVARIATE COUNT MODEL FOR FIRM LOCATION DECISIONS†
Version of Record online: 21 JAN 2014
© 2014 Wiley Periodicals, Inc.
Journal of Regional Science
Volume 54, Issue 3, pages 462–502, June 2014
How to Cite
Bhat, C. R., Paleti, R. and Singh, P. (2014), A SPATIAL MULTIVARIATE COUNT MODEL FOR FIRM LOCATION DECISIONS. Journal of Regional Science, 54: 462–502. doi: 10.1111/jors.12101
- Issue online: 2 JUN 2014
- Version of Record online: 21 JAN 2014
- Manuscript Revised: OCT 2013
- Manuscript Accepted: OCT 2013
- Manuscript Received: SEP 2012
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.