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A SPATIAL MULTIVARIATE COUNT MODEL FOR FIRM LOCATION DECISIONS
Authors:Chandra R. Bhat  Rajesh Paleti  Palvinder Singh
Affiliation:1. Department of Civil, Architectural and Environmental Engineering, The University of Texas at Austin, , Austin, TX 78712‐1172;2. King Abdulaziz University, , Jeddah, Saudi Arabia;3. Parsons Brinckerhoff, , New York, NY 10119;4. Parsons Brinckerhoff, , Portland, OR 97204
Abstract: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.
Keywords:
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