The Impact of Forest Density on Property Values
Abstract:We applied a simple hedonic price model to determine the benefits of fuel reduction treatments reflected in residential housing values in Flagstaff, Arizona, in hopes of finding a way to address increasing treatment costs. Results show that the fuel reduction treatments that convert high canopy closure would increase property values significantly ($190 per 1,000 m2 per home). The treatments that lower forest density are not only one means to reduce wildfire hazard but also to enhance scenic beauty and improve residential property values.
Keywords: economics; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; geographic information systems; hedonic price method; natural resource management; natural resources; wildland-urban interface
Document Type: Regular Article
Affiliations: 1: Associate Professor School of Forestry Northern Arizona University PO Box 15018 Flagstaff AZ 86011, Email: Yeon-Su.Kim@nau.edu 2: Ph.D. Candidate Department of Forestry, Wildlife, and Fishery and Master of Arts Candidate Department of Economics The University of Tennessee 307 Ellington Plant Sciences Building PO Box 1071 Knoxville TN 37901, Email: email@example.com
Publication date: April 1, 2005
- The Journal of Forestry is the most widely circulated scholarly forestry journal in the world. In print since 1902, the Journal has received several national awards for excellence. The mission of the Journal of Forestry is to advance the profession of forestry by keeping forest management professionals informed about significant developments and ideas in the many facets of forestry: economics, education and communication, entomology and pathology, fire, forest ecology, geospatial technologies, history, international forestry, measurements, policy, recreation, silviculture, social sciences, soils and hydrology, urban and community forestry, utilization and engineering, and wildlife management. The Journal is published bimonthly: January, March, May, July, September, and November.
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