| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Incorporating Spatial Complexity into Economic Models of Land Markets and Land Use Change
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| Autores: |
Chen, Yong
Irwin, Elena G.
Jayaprakash, Ciriyam
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| Data: |
2012-02-14
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| Ano: |
2011
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| Palavras-chave: |
Urban growth
Urbanization
Land development
Spatial dynamics
Heterogeneity
Agent-based models
Spatial interactions
Land Economics/Use
Research Methods/ Statistical Methods
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| Resumo: |
Recent work in regional science, geography, and urban economics has advanced spatial modeling of land markets and land use by incorporating greater spatial complexity, including multiple sources of spatial heterogeneity, multiple spatial scales, and spatial dynamics. Doing so has required a move away from relying solely on analytical models to partial or full reliance on computational methods that can account for these added features of spatial complexity. In the first part of the paper, we review economic models of urban land development that have incorporated greater spatial complexity, focusing on spatial simulation models with spatial endogenous feedbacks and multiple sources of spatial heterogeneity. The second part of the paper presents a spatial simulation model of exurban land development using an auction model to represent household bidding that extends the traditional Capozza and Helsley (1990) model of urban growth to account for spatial dynamics in the form of local land use spillovers and spatially heterogeneous land characteristics.
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| Tipo: |
Article
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| Idioma: |
Inglês
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| Identificador: |
http://purl.umn.edu/120644
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| Relação: |
Agricultural and Resource Economics Review> Volume 40, Number 3, December 2011
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| Formato: |
20
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