Surf and Turf: Tourists' Values for Multifunctional Working Landscapes and Water Quality in Colorado

Since the 1980s, nonmarket valuation methods have been used to estimate the value of farmland amenities to local residents. To date, most studies have focused on the value of farmland to local residents and have not addressed potential values that tourists may place on working landscapes when they v...

Full description

Saved in:

Bibliographic Details
Published in:	American journal of agricultural economics 2009-12, Vol.91 (5), p.1360-1367
Main Authors:	Cline, Sarah, Seidl, Andrew
Format:	Article
Language:	eng
Subjects:	Agricultural economics Agricultural land Agricultural policy Colorado Conservation policy consumer attitudes econometrics Economic value ecosystem services Ecosystems Environmental protection Farms Land use land values Landscape landscapes Livestock farms Local economy multifunctional working landscapes Open spaces Preserving Multifunctional Agriculture rangelands rural areas Sales taxes social benefit Studies surveys Tourism U.S.A Valuation Valuation methods visitors Water quality willingness to pay
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Description
Summary:	Since the 1980s, nonmarket valuation methods have been used to estimate the value of farmland amenities to local residents. To date, most studies have focused on the value of farmland to local residents and have not addressed potential values that tourists may place on working landscapes when they visit rural areas. This article addresses several issues that have previously been neglected in the farmland valuation literature. In the remainder of the article, the authors first describe the study area under consideration and the survey employed in this research. They then describe the nonmarket valuation methods and results. This is followed by a discussion of their modeling of the potential regional economic effects of different policy options for working landscape preservation using input-output analysis. The final section concludes and discusses the policy implications of this research.
ISSN:	0002-9092 1467-8276