Monetary Valuation of the Environment
Wolfgang Buchholz,
Christiane Reif and
Dirk Rübbelke
Additional contact information
Wolfgang Buchholz: University of Regensburg
Christiane Reif: Landshut University of Applied Sciences
Dirk Rübbelke: TU Bergakademie Freiberg
Chapter Chapter 3 in Foundations of Environmental Economics, 2024, pp 49-87 from Springer
Abstract:
Abstract In this chapter, we first give an overview of the idea and methods of monetary valuationMonetary valuation of the environment and provide the related microeconomic foundations. In the following discussion, we focus on the contingent valuation methodContingent valuation method (CVM) through which agents’ preferences for environmental quality are elicited by surveySurvey questions. The chapter discusses the conceptual and practical problems of CVM studies, focusing on the many decisions that evaluators have to make in designing such studies. The limitations of this technique are pointed out, and it is shown how the quality and validity of CVM studies can be improved by observance of some thoughtful guidelines.
Keywords: Use and non-use values; Contingent valuation; Choice experiment; Willingness-to-pay; Willingness-to-accept; Hicksian demand; Marshallian demand; Compensating variation; Equivalent variation; Sample bias; Hypothetical bias; Information bias (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sptchp:978-3-031-63481-9_3
Ordering information: This item can be ordered from
http://www.springer.com/9783031634819
DOI: 10.1007/978-3-031-63481-9_3
Access Statistics for this chapter
More chapters in Springer Texts in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().