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Multiscale Spatial Pattern in Nonuse Willingness to Pay: Applications to Threatened and Endangered Marine Species

Multiscale Spatial Pattern in Nonuse Willingness to Pay: Applications to Threatened and... ABSTRACT: This paper demonstrates methods that may be combined to characterize otherwise undetectable spatial heterogeneity in stated preference willingness to pay (WTP) estimates that may occur at multiple geospatial scales. These include methods applicable to large-scale analysis with diffuse policy impacts and uncertainty regarding the appropriate scales over which spatial patterns should be evaluated. Illustrated methods include spatial interpolation and multiscale analysis of hot/cold spots using local indicators of spatial association. An application to threatened and endangered marine species illustrates the empirical findings that emerge. Findings include large-scale clustering of nonuse WTP estimates at multiple scales of analysis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Land Economics University of Wisconsin Press

Multiscale Spatial Pattern in Nonuse Willingness to Pay: Applications to Threatened and Endangered Marine Species

Land Economics , Volume 91 (4) – Oct 16, 2015

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Publisher
University of Wisconsin Press
Copyright
Copyright by the Board of Regents of the University of Wisconsin System.
ISSN
1543-8325
Publisher site
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Abstract

ABSTRACT: This paper demonstrates methods that may be combined to characterize otherwise undetectable spatial heterogeneity in stated preference willingness to pay (WTP) estimates that may occur at multiple geospatial scales. These include methods applicable to large-scale analysis with diffuse policy impacts and uncertainty regarding the appropriate scales over which spatial patterns should be evaluated. Illustrated methods include spatial interpolation and multiscale analysis of hot/cold spots using local indicators of spatial association. An application to threatened and endangered marine species illustrates the empirical findings that emerge. Findings include large-scale clustering of nonuse WTP estimates at multiple scales of analysis.

Journal

Land EconomicsUniversity of Wisconsin Press

Published: Oct 16, 2015

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