Spatial dimensions of stated preference valuation in environmental and resource economics: methods, trends and challenges

K Glenk, RJ Johnston, J Meyerhoff, J Sagebiel

Research output: Contribution to journalReview article

2 Citations (Scopus)

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.
Original languageEnglish
JournalEnvironmental and Resource Economics
Early online date8 Jan 2019
DOIs
Publication statusFirst published - 8 Jan 2019

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economic method
trend
resources
welfare
aggregation
typology
interpretation
ability
literature

Bibliographical note

© Springer Nature B.V. 2019

Keywords

  • Contingent valuation
  • Discrete choice experiments
  • Distance decay
  • Ecosystem services
  • Non-market goods
  • Spatial autocorrelation
  • Spatial dependence
  • Spatial heterogeneity
  • Willingness to accept
  • Willingness to pay

Cite this

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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.",
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Spatial dimensions of stated preference valuation in environmental and resource economics: methods, trends and challenges. / Glenk, K; Johnston, RJ; Meyerhoff, J; Sagebiel, J.

In: Environmental and Resource Economics, 08.01.2019.

Research output: Contribution to journalReview article

TY - JOUR

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AU - Johnston, RJ

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KW - Discrete choice experiments

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KW - Ecosystem services

KW - Non-market goods

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