The DOI matches its Crossref record.
Interacting agents, spatial externalities and the evolution of residential land use patterns
Abstract
We develop a model of land use conversion that incorporates local spillover effects among spatially distributed agents. The model is used to test the hypothesis that fragmented patterns of development in rural‐urban fringe areas could be due to negative externalities that create a ‘repelling’ effect among residential land parcels. Identification of the hypothesized interaction effect is complicated by unobserved, spatially correlated heterogeneity. Using an identification strategy that bounds the interaction effect from above, we find empirical evidence that is consistent with a theory of negative interactions among recently developed residential subdivisions in exurban Maryland. The result offers an alternative explanation for low density sprawl to that which is frequently posited in the economics literature and one with potentially quite different efficiency implications.
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Cited by
Integrating ecology and economics in the study of ecosystem services: some lessons learned
Polasky, S., & Segerson, K. (2009) · Annual Review of Resource Economics · doi:10.1146/annurev.resource.050708.144110 · Cited by 192
Metadata
- Authors
- Irwin, E. G., & Bockstael, N. E.
- Venue
- Journal of Economic Geography
- Publisher
- Oxford University Press (OUP)
- Published
- 2002-01-01
- Volume
- 2
- Issue
- 1
- Pages
- 31-54
- ISSN
- 1468-2702 (ISSN-L)
- 1468-2710
- OpenAlex
- W2010732260
- Cited by
- 397
- References
- 0
- FWCI
- 38.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Irwin, E. G., & Bockstael, N. E. (2002). Interacting agents, spatial externalities and the evolution of residential land use patterns. Journal of Economic Geography. https://doi.org/10.1093/jeg/2.1.31
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.