Journal
ENVIRONMENTAL & RESOURCE ECONOMICS
Volume 59, Issue 3, Pages 363-387Publisher
SPRINGER
DOI: 10.1007/s10640-013-9731-2
Keywords
Choice modeling; Ecosystem service; Valuation; Cost benefit analysis; Local indicators of spatial association; Distance decay; Spatial autocorrelation
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Stated preference analyses often impose strong assumptions regarding spatial welfare distributions that can influence the validity of welfare analysis and aggregation. These include spatial homogeneity and continuous distance decay. Global assumptions such as these are increasingly questioned by non-economics disciplines in favor of approaches that allow for local patchiness. Drawing from this literature, this article proposes methods to identify and evaluate hot spots in stated preference welfare estimates using local indicators of spatial association. Methods are illustrated using geocoded choice experiment data addressing river restoration. Results suggest the presence of statistically significant, non-continuous patterns overlooked by current approaches.
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