Using choice experiments to value the enviroment - design issues, current experience and future prospects

R.E Wright, N. Hanley, V. Adamowicz

Research output: Contribution to journalArticle

500 Citations (Scopus)

Abstract

This paper we outline the “choice experiment” approach to environmental valuation. This approach has its roots in Lancaster’s characteristics theory of value, in random utility theory and in experimental design. We show how marginal values for the attributes of environmental assets, such as forests and rivers, can be estimated from pair-wise choices, as well as the value of the environmental
asset as a whole. These choice pairs are designed so as to allow efficient statistical estimation of the underlying utility function, and to minimise required sample size. Choice experiments have important advantages over other environmental valuation methods, such as contingent valuation and travel costtype models, although many design issues remain unresolved. Applications to environmental issues have so far been relatively limited. We illustrate the use of choice experiments with reference to a recent UK study on public preferences for alternative forest landscapes. This study allows us to perform a convergent validity test on the choice experiment estimates of willingness to pay.
LanguageEnglish
Pages413-428
Number of pages16
JournalEnvironmental and Resource Economics
Volume11
Issue number3-4
DOIs
Publication statusPublished - 1998

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future prospect
valuation
experiment
Experiments
contingent valuation
willingness to pay
environmental issue
experimental design
Design of experiments
Rivers
Choice experiment
river
Environmental valuation

Keywords

  • choice experiments
  • cost-benefit analysis
  • environmental valuation
  • stated preference models
  • forest landscapes

Cite this

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Using choice experiments to value the enviroment - design issues, current experience and future prospects. / Wright, R.E; Hanley, N.; Adamowicz, V.

In: Environmental and Resource Economics, Vol. 11, No. 3-4, 1998, p. 413-428.

Research output: Contribution to journalArticle

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