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An application of contingent valuation and decision tree analysis to water quality improvements
Institution:1. University of Monterrey, Mexico;2. SOAS, University of London, UK;3. ICRE8: International Center for Research on the Environment and the Economy, Greece;4. Athens University of Economics and Business, Greece;5. London School of Economics, UK;6. University of Macedonia, Greece;7. University of Athens, Greece
Abstract:This paper applies contingent valuation and decision tree analysis to investigate public preferences for water quality improvements, and in particular reduced eutrophication. Such preferences are important given that the development of EU water quality legislation is imposing significant costs on European economies. Results are reported of a survey undertaken of residents of Århus County, Denmark for water quality improvements in the Randers Fjord. Results demonstrate strong public support for reduced eutrophication and identify key determinants of such support.
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