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Policy context as a factor of bias in the valuation of environmental goods – a dual-process theories perspective

Permanent link
https://hdl.handle.net/10037/14486
DOI
https://doi.org/10.1080/09640568.2018.1441813
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Submitted manuscript version (PDF)
Date
2018-03-13
Type
Journal article
Tidsskriftartikkel

Author
Nikitina, Ekaterina
Abstract
When ecosystem services value estimates are applied in the economic assessment of environmental policies, high accuracy of these estimates is required. One of the directions in the scientific discussion on biases in stated preference (SP) valuation surveys builds on dual-process theories of judgment. The paper contributes to this literature by presenting an experiment where two types of judgment were induced via separate versus joint valuation of environmental goods. The results demonstrated that policy relevance of environmental issues, e.g. the need for conservation measures increases emotional response, causing a larger bias in the separate design as it involves ‘valuation by feeling.’ This finding suggests that the context of a specific policy, which is often the reason for conducting SP surveys, influences the answers, thereby making the results less reliable for use in cost–benefit analysis.
Description
This is the submitted manuscript version of an article published by Taylor & Francis in Journal of Environmental Planning and Management on 13 March 2018, available online: http://www.tandfonline.com/10.1080/09640568.2018.1441813.
Is part of
Nikitina, E. (2020). Application of economic tools for informing Atlantic salmon management in Norway. Opportunity cost of protection measures, valuation of ecosystem services and environmental cost-benefit analysis. (Doctoral thesis). https://hdl.handle.net/10037/19527 .
Publisher
Taylor & Francis (Routledge)
Citation
Nikitina, E. (2018). Policy context as a factor of bias in the valuation of environmental goods – a dual-process theories perspective. Journal of Environmental Planning and Management. https://doi.org/10.1080/09640568.2018.1441813
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