| Registro completo |
| Provedor de dados: |
AgEcon
|
| País: |
United States
|
| Título: |
An Application of Spatial Poisson Models to Manufacturing Investment Location Analysis
|
| Autores: |
Lambert, Dayton M.
McNamara, Kevin T.
Garrett, Megan I.
|
| Data: |
2008-10-01
|
| Ano: |
2006
|
| Palavras-chave: |
Geographically weighted regression
Location determinants
Location theory
Manufacturing site selection
Poisson spatial generalized linear model
Agribusiness
Industrial Organization
Productivity Analysis
R1
R3
|
| Resumo: |
The influence product markets, agglomeration, labor, infrastructure, and government fiscal attributes had on manufacturing investment flows in Indiana between 2000 and 2004 were estimated using Poisson regression, geographically weighted regression, and a spatial general linear model. Counties with access to urbanization economies, product markets, available labor, a high-quality workforce, and transport infrastructure were more likely to attract manufacturing investment. These effects were magnified to some extent when inter-county spatial effects were modeled. The distributional assumptions of the spatial models are different, but both methods are useful for understanding the spatial context of the factors influencing manufacturing investment flows.
|
| Tipo: |
Journal Article
|
| Idioma: |
Inglês
|
| Identificador: |
http://purl.umn.edu/43752
|
| Relação: |
Journal of Agricultural and Applied Economics>Volume 38, Number 01, April 2006
|
| Formato: |
17
|
|
