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May 28, 2026Annual Review of Resource Economics0 citations

Valuing Water Quality Using Benefit Transfer Methods

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RJRobert J. JohnstonClark UniversityKMKlaus MoeltnerVirginia TechSNStephen C. NewboldUniversity of Wyoming

Key Points

  • The central aim is to summarize and evaluate methods for valuing water quality through benefit transfer.
  • Review of benefit transfer methods and challenges of water quality characteristics.
  • Exploration of alternative meta-regression modeling approaches for value prediction.
  • Discussion of unresolved methodological questions and research needs in benefit transfer.
  • Benefit transfer methods are essential for quantifying water quality benefits and costs across different settings.
  • Emerging meta-regression approaches show potential for greater flexibility and accuracy in value prediction.
  • The article identifies key methodological challenges and suggests further research to address unresolved questions.

Abstract

This article summarizes methods, prospects, and methodological questions for water quality benefit transfer. Benefit transfer is the use of welfare estimates from settings where original valuation research has been conducted to predict similar estimates for other settings, allowing quantification of benefits and costs when original valuation studies are infeasible. Water quality has been among the most researched areas of benefit transfer, in part due to requirements for benefit-cost analysis within policies and programs that affect surface and ground water. The article begins with a review of benefit transfer methods and characteristics of water quality that challenge transfer validity. We then explore alternative approaches for meta-regression modeling and value prediction to support these transfers, focusing on emerging methods that may afford greater flexibility than traditional parametric approaches and enable gains in transfer accuracy, while maintaining desirable theoretical properties. The article concludes with a discussion of unresolved questions and research needs.

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Cite This Study

Johnston et al. (2026) studied this question.

synapsesocial.com/papers/6a17de013fad632b0f9da87dhttps://doi.org/10.1146/annurev-resource-120524-034224
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