A SPATIAL MULTIVARIATE COUNT MODEL FOR FIRM LOCATION DECISIONS |
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Authors: | Chandra R. Bhat Rajesh Paleti Palvinder Singh |
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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 |
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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. |
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