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A SPATIAL MULTIVARIATE COUNT MODEL FOR FIRM LOCATION DECISIONS
Author(s) -
Bhat Chandra R.,
Paleti Rajesh,
Singh Palvinder
Publication year - 2014
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/jors.12101
Subject(s) - diseconomies of scale , multivariate statistics , economies of agglomeration , multivariate analysis , econometrics , capital (architecture) , economics , business , geography , statistics , microeconomics , mathematics , archaeology , economies of scale
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.