Next Article in Journal
Farmers Willingness to Participate In Voluntary Land Consolidation in Gozamin District, Ethiopia
Previous Article in Journal
Evolution and Collapse of Ejidos in Mexico—To What Extent Is Communal Land Used for Urban Development?
Open AccessArticle

Valuing Environmental Amenities across Space: A Geographically Weighted Regression of Housing Preferences in Greenville County, SC

1
David E. Shi Institute for Sustainable Communities, Furman University, Greenville, SC 29613, USA
2
Department of Earth and Environmental Sciences, Furman University, Greenville, SC 29613, USA
*
Author to whom correspondence should be addressed.
Land 2019, 8(10), 147; https://doi.org/10.3390/land8100147
Received: 14 September 2019 / Revised: 4 October 2019 / Accepted: 9 October 2019 / Published: 11 October 2019
As global consumption and development rates continue to grow, there will be persistent stress placed on public goods, namely environmental amenities. Urban sprawl and development places pressure on forested areas, as they are often displaced or degraded in the name of economic development. This is problematic because environmental amenities are valued by the public, but traditional market analysis typically obscures the value of these goods and services that are not explicitly traded in a market setting. This research examines the non-market value of environmental amenities in Greenville County, SC, by utilizing a hedonic price model of home sale data in 2011. We overlaid home sale data with 2011 National Land Cover Data to estimate the value of a forest view, proximity to a forest, and proximity to agriculture on the value of homes. We then ran two regression models, an ordinary least squares (OLS) and a geographically weighted regression to compare the impact of space on the hedonic model variables. Results show that citizens in Greenville County are willing to pay for environmental amenities, particularly views of a forest and proximity to forested and agricultural areas. However, the impact and directionality of these variables differ greatly across space. These findings suggest the need for an integration of spatial dynamics into environmental valuation estimates to inform conservation policy and intentional city planning. View Full-Text
Keywords: geographically weighted regression; land use change; spatial analysis; green space; land use planning geographically weighted regression; land use change; spatial analysis; green space; land use planning
Show Figures

Figure 1

MDPI and ACS Style

Hiebert, J.; Allen, K. Valuing Environmental Amenities across Space: A Geographically Weighted Regression of Housing Preferences in Greenville County, SC. Land 2019, 8, 147.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop