Reliability of Benefit Value Transfers from Contingent Valuation Data with Forest-Specific Attributes

25 Pages Posted: 19 Jul 2000

See all articles by Riccardo Scarpa

Riccardo Scarpa

University of Waikato - Management School

W. George Hutchinson

Queen's University Belfast

Susan M. Chilton

University of Newcastle - Economics

Joseph Buongiorno

University of Wisconsin - Madison - Department of Forest and Wildlife Ecology

Date Written: April 5, 2000

Abstract

We investigate the reliability of transferring benefit estimates of forest recreation obtained from discrete choice CV data and conditional on forest-specific attributes. The transfer reliability is checked against the forest-specific estimates of mean and median willingness to pay. We report and discuss the outcomes of formal tests of the null hypothesis of no difference for 26 recreational forests in Ireland, when the value transfer is based on single and double-bounded data collected at the remaining 25 forests. Contrary to the unconditional value transfers of Downing and Ozuna [6] we find that value transfers conditional on site-specific recreational attributes are mostly transferable.

Keywords: benefit transfer, estimate reliability, forest recreation, non-market valuation, discrete-choice contingent valuation

JEL Classification: Q26

Suggested Citation

Scarpa, Riccardo and Hutchinson, W. George and Chilton, Susan M. and Buongiorno, Joseph, Reliability of Benefit Value Transfers from Contingent Valuation Data with Forest-Specific Attributes (April 5, 2000). Available at SSRN: https://ssrn.com/abstract=224121 or http://dx.doi.org/10.2139/ssrn.224121

Riccardo Scarpa (Contact Author)

University of Waikato - Management School ( email )

Hamilton
New Zealand

W. George Hutchinson

Queen's University Belfast ( email )

David Leir Building
Belfast, BT9 5AG
Ireland

Susan M. Chilton

University of Newcastle - Economics ( email )

Newcastle-upon-Tyne NE1 7RU
United Kingdom

Joseph Buongiorno

University of Wisconsin - Madison - Department of Forest and Wildlife Ecology ( email )

1630 Linden Drive
Madison, WI 53706
United States

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