Modeling Suburban and Rural-Residential Development Beyond the Urban Fringe
David Newburn and
Peter Berck
No 7154, CUDARE Working Papers from University of California, Berkeley, Department of Agricultural and Resource Economics
Abstract:
This article investigates how land-use regulations differentially influence suburban versus ruralresidential development. Particular emphasis is placed on how both the provision of municipal services (e.g., sewer and water) and zoned maximum density constrain higher-density residential development. We estimated a spatially explicit model with parcel data on recent housing development in Sonoma County, California. To account for heterogeneity in compliance with zoning regulations, we used a random-parameter logit model. The designation of sewer and water services was the most important determinant of suburban development. Meanwhile, it did not significantly affect the likelihood of rural-residential development, which actually leapfrogged into areas well beyond them.
Keywords: Community/Rural/Urban; Development (search for similar items in EconPapers)
Pages: 42
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (39)
Downloads: (external link)
https://ageconsearch.umn.edu/record/7154/files/wp061008.pdf (application/pdf)
Related works:
Working Paper: Modeling Suburban and Rural-Residential Development Beyond the Urban Fringe (2006) 
Working Paper: Modeling Suburban and Rural-Residential Development Beyond the Urban Fringe (2006) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:ucbecw:7154
DOI: 10.22004/ag.econ.7154
Access Statistics for this paper
More papers in CUDARE Working Papers from University of California, Berkeley, Department of Agricultural and Resource Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().