Spatial Dimensions of Stated Preference Valuation in Environmental and Resource Economics: Methods, Trends and Challenges

Klaus Glenk, Robert Johnston, Jürgen Meyerhoff and Julian Sagebiel ()

Environmental & Resource Economics, 2020, vol. 75, issue 2, No 1, 215-242

Abstract: Abstract An expanding literature addresses spatial dimensions related to the elicitation, estimation, interpretation and aggregation of stated preference (SP) welfare measures. Recognizing the relevance of spatial dimensions for SP welfare analysis and the breadth of associated scholarly work, this article reviews the primary methods, findings, controversies and frontiers in this important area of contemporary research. This review is grounded in a typology that characterizes analytical methods based on theoretical foundations and the type of statistical modelling applied. The resulting interpretive appraisal seeks to (1) summarize and contrast different theoretical arguments and points of departure within the spatial SP literature, (2) synthesize findings, insights and methods from the literature to promote a more holistic perspective on the treatment of spatial dimensions within SP welfare analysis, (3) evaluate and reconcile divergent approaches in terms of theoretical grounding, ability to identify relevant empirical effects, and relevance for SP valuation, and (4) discuss outstanding questions and research frontiers.

Keywords: Discrete choice experiments; Contingent valuation; Spatial heterogeneity; Distance decay; Spatial dependence; Spatial autocorrelation; Non-market goods; Ecosystem services; Willingness to pay; Willingness to accept (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (26)

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DOI: 10.1007/s10640-018-00311-w

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