Eliciting stakeholder preferences through nonmarket valuation techniques

    Research output: Chapter in Book/Conference paperConference paper

    Abstract

    To successfully predict the impacts of environmental change, modellers need to incorporate analyses of human behaviour into their predictions. The engagement of stakeholders, including participatory model development, is now widely advocated as an approach to account for stakeholder preferences. While participatory approaches are suitable to involve targeted stakeholder groups and technical experts, it is typically prohibitively expensive to engage a wide range of communities in the model development process. Many environmental modellers may be aware of social science research methods to participatory research. Socio-economic approaches to elicit stakeholder preferences are, however, less commonly used. This paper presents three stated preference techniques typically used by environmental economists to assess stakeholder preferences for environmental changes. These techniques use nonmarket valuation surveys to gain an understanding of the environmental issues, assets, and management options that are preferred by the wider community. The benefits and limitations of using nonmarket valuation techniques in environmental modelling are also discussed.
    Original languageEnglish
    Title of host publicationIntenational Environmental Modelling and Software Society
    Place of PublicationUSA
    PublisherInternational Environmental Modelling and Software Society
    Pages1085-1091
    Volume2
    ISBN (Print)9788890357442
    Publication statusPublished - 2014
    Event7th International Congress on Environmental Modelling and Software - San Diego, United States
    Duration: 15 Jun 201419 Jun 2014

    Conference

    Conference7th International Congress on Environmental Modelling and Software
    CountryUnited States
    CitySan Diego
    Period15/06/1419/06/14

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    Cite this

    Kragt, M. (2014). Eliciting stakeholder preferences through nonmarket valuation techniques. In Intenational Environmental Modelling and Software Society (Vol. 2, pp. 1085-1091). USA: International Environmental Modelling and Software Society.