A SPATIAL MULTIVARIATE COUNT MODEL FOR FIRM LOCATION DECISIONS

被引：59

作者：

Bhat, Chandra R. ^{[1
,2
]}

Paleti, Rajesh ^{[3
]}

Singh, Palvinder ^{[4
]}

机构：

[1] Univ Texas Austin, Dept Civil Architectural & Environm Engn, Austin, TX 78712 USA

[2] King Abdulaziz Univ, Jeddah 21413, Saudi Arabia

[3] Parsons Brinckerhoff, New York, NY 10119 USA

[4] Parsons Brinckerhoff, Parsons, OR 97204 USA

来源：

JOURNAL OF REGIONAL SCIENCE | 2014年 / 54卷 / 03期

关键词：

INDUSTRIAL-LOCATION; TRANSPORT INFRASTRUCTURE; AGGLOMERATION ECONOMIES; LIKELIHOOD ESTIMATION; EMPIRICAL-EVIDENCE; CHOICE; DETERMINANTS; RELOCATIONS; FREQUENCY; LEVEL;

D O I：

10.1111/jors.12101

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：462 / 502

页数：41

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