Valuing the Benefits of the Urban Forest: A Spatial Hedonic Approach

dc.contributor.authorPayton, Seth
dc.contributor.authorLindsey, Greg
dc.contributor.authorWilson, Jeffrey S.
dc.contributor.authorOttensmann, John R.
dc.contributor.authorMan, Joyce
dc.date.accessioned2013-12-19T15:43:12Z
dc.date.available2013-12-19T15:43:12Z
dc.date.issued2008-11
dc.description.abstractThis paper measures the benefits of the urban forest by examining its effect on housing prices. A Geographic Information System is used to develop a measure of the urban forest, the Normalised Difference Vegetation Index, from satellite imagery and to construct other variables from a variety of sources. Spatial hedonic housing price models for the Indianapolis/Marion County area are estimated. The models indicate that greener vegetation around a property has a positive, significant effect on housing price, holding everything else constant. This effect is dominated by measures at the neighborhood level. These findings indicate that property owners value the urban forest, at least in part, by the premium they pay to live in neighborhoods with greener, denser vegetation. These findings also indicate that public action to maintain and enhance the urban forest may be warranted. Planners and urban foresters can use these findings to inform public and policy debates over urban forestry programs and proposals.en_US
dc.identifier.citationPayton, S., Lindsey, G., Wilson, J., Ottensmann, J. R., & Man, J. (2008). Valuing the benefits of the urban forest: A spatial hedonic approach. Journal of Environmental Planning and Management, 51(6), 717-736.en_US
dc.identifier.otherhttp://dx.doi.org/10.1080/09640560802423509
dc.identifier.urihttps://hdl.handle.net/1805/3779
dc.language.isoen_USen_US
dc.subjectspatial econometricsen_US
dc.subjecturban forest benefitsen_US
dc.subjecthousing pricesen_US
dc.subjecthedonic modelen_US
dc.subjecturban formen_US
dc.subjectland useen_US
dc.titleValuing the Benefits of the Urban Forest: A Spatial Hedonic Approachen_US
dc.typeArticleen_US
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