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Contingent Valuationof the Natura 2000 Nature Conservation Program in Finland
Dalarna University, School of Technology and Business Studies, Economics.
2000 (English)In: Forestry (London), ISSN 0015-752X, E-ISSN 1464-3626, Vol. 73, no 2, p. 119-128Article in journal (Refereed) Published
Abstract [en]

This paper shows how contingent valuation studies can produce relevant information for public nature conservation decisions. The study analyses the preferences of Finnish households for a nature conservation programme, Natura 2000 Network, by applying a dichotomous choice referendum model of the contingent valuation survey. In order to study the influence of attitudes and beliefs on a choice between the status quo and the new conservation project, an attitude-behaviour framework is applied. Beliefs concerning the outcomes of the nature conservation policy and evaluations of their importance describe how attitudes towards the programme are formed. The choices in the referendum are explained using a logit regression model and are found to be a function of attitude and socio-economic variables. The probability of a person supporting the proposed conservation level depends significantly on the income, age and background (urban-rural) of the respondent. The estimated model of choice behaviour is used to calculate the average willingness to pay for the Natura 2000 Network, which is also compared to the costs of the conservation programme.

Place, publisher, year, edition, pages
London: Oxford journals , 2000. Vol. 73, no 2, p. 119-128
Identifiers
URN: urn:nbn:se:du-1842DOI: 10.1093/forestry/73.2.119OAI: oai:dalea.du.se:1842DiVA, id: diva2:519626
Available from: 2006-03-03 Created: 2006-03-03 Last updated: 2017-12-07Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf