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Detailed vs. fuzzy information in non-market valuation studies: the role of familiarity
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Environmental Strategies Research (fms).
2013 (English)In: Journal of Environmental Planning and Management, ISSN 0964-0568, E-ISSN 1360-0559, Vol. 57, no 1, 123-143 p.Article in journal (Refereed) Published
Abstract [en]

We apply a split-sample contingent valuation survey to test whether the level of ecological information affects the willingness to pay (WTP) and valuation uncertainty for improved water quality. For respondents who are unfamiliar with water quality problems, the WTP is significantly different between the sample that received detailed ecological information and the sample that received fuzzy information. This study also provides new empirical evidence for the counterfactual; in a situation with high familiarity, more information does not affect mean WTP. The main recommendation to future valuation practice is to provide detailed ecological information in the case when many respondents are unfamiliar with the good. The level of information did not influence valuation uncertainty.

Place, publisher, year, edition, pages
2013. Vol. 57, no 1, 123-143 p.
Keyword [en]
contingent valuation, information, policy, water quality, water framework directive, valuation uncertainty
National Category
Ecology Environmental Sciences
URN: urn:nbn:se:kth:diva-138390DOI: 10.1080/09640568.2012.736370ISI: 000327236300006ScopusID: 2-s2.0-84889086405OAI: diva2:681787

QC 20131220

Available from: 2013-12-20 Created: 2013-12-19 Last updated: 2016-10-11Bibliographically approved
In thesis
1. The monetary value of marine environmental change
Open this publication in new window or tab >>The monetary value of marine environmental change
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The marine ecosystems are fundamental for human welfare. A number of current environmental pressures need attention, and the formulation of management strategies requires information from a variety of analytical dimensions. The linkage between environmental change and resulting implications for human welfare is one such dimension.

This thesis presents studies on welfare implications from hypothetical future policies which improve the state of the marine environment. The method for these studies is economic valuation. The studied scenarios concern eutrophication in the Baltic Sea (including the Kattegat) and oil spill risk from shipping in the Lofoten-Vesterålen area in the Arctic Barents Sea. The thesis shows that the economic benefits from undertaking policies to improve or protect the marine environment in these cases are substantial and exceed the costs of taking measures.

In addition to providing new monetary estimates, the thesis also provides new insights concerning 1) what type of scenario to use when valuing an environmental improvement and 2) whether there may exist trade-offs between precision in estimates and the level of ambition with respect to survey instrument complexity and econometric models when conducting valuation studies. The findings suggest an end of an era for studies in which the environmental change is unspecified or based on a single environmental indicator while the actual consequences of the suggested measures are more multifaceted. In contrast, relevant scenarios to study are well-specified and holistic. The thesis further reveals that it might not always be worth the effort to go for the most advanced scenario presentation or statistically best-fitting model specifications. This is something that needs to be further discussed among practitioners in order to allocate valuation resources wisely and not waste resources on unnecessarily elegant valuation studies.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2016. 85 p.
Contingent valuation, choice experiment, benefits transfer, cost-benefit analysis, ecosystem services, eutrophication, oil spills, Baltic Sea, Arctic
National Category
Research subject
Planning and Decision Analysis
urn:nbn:se:kth:diva-193727 (URN)978-91-7729-148-0 (ISBN)
Public defence
2016-11-08, F3, Lindstedtsvägen 26, Sing-Sing, våningsplan 2, KTH Campus, Stockholm, 13:00 (English)

QC 20161011

Available from: 2016-10-11 Created: 2016-10-10 Last updated: 2016-10-11Bibliographically approved

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