The Valuation of the IJmeer Nature Reserve using Conjoint Analysis
This paper describes an application of conjointanalysis. The subject of the valuation study isthe IJmeer nature reserve, which will be partlydestroyed when the new residential area IJburgis built. This paper addresses the followingquestion: ‘What is the extent of the loss ofgreen and recreational values?’. In this study,the conjoint analysis consists of threedifferent analyses based on a three-piecevaluation question. The respondents are askedto subsequently rank, mark and indicate theacceptability of a set of six cards. Copyright Kluwer Academic Publishers 2003
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 25 (2003)
Issue (Month): 3 (July)
|Contact details of provider:|| Web page: http://www.springer.com|
Postal:c/o EAERE Secretariat - Fondazione Eni Enrico Mattei - Isola di San Giorgio Maggiore 8, I-30124 Venice, Italy
Web page: http://www.eaere.org/
More information through EDIRC
|Order Information:||Web: http://www.springer.com/economics/environmental/journal/10640/PS2|
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Green, Paul E & Srinivasan, V, 1978. " Conjoint Analysis in Consumer Research: Issues and Outlook," Journal of Consumer Research, Oxford University Press, vol. 5(2), pages 103-123, Se.
- John B. Loomis, 1987. "Expanding Contingent Value Sample Estimates to Aggregate Benefit Estimates: Current Practices and Proposed Solutions," Land Economics, University of Wisconsin Press, vol. 63(4), pages 396-402.
- Hausman, Jerry A. & Ruud, Paul A., 1987. "Specifying and testing econometric models for rank-ordered data," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 83-104.
- Boxall, Peter C. & Adamowicz, Wiktor L. & Swait, Joffre & Williams, Michael & Louviere, Jordan, 1996. "A comparison of stated preference methods for environmental valuation," Ecological Economics, Elsevier, vol. 18(3), pages 243-253, September.
- Kevin J. Boyle & Thomas P. Holmes & Mario F. Teisl & Brian Roe, 2001. "A Comparison of Conjoint Analysis Response Formats," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 441-454.
- Beggs, S. & Cardell, S. & Hausman, J., 1981. "Assessing the potential demand for electric cars," Journal of Econometrics, Elsevier, vol. 17(1), pages 1-19, September.
When requesting a correction, please mention this item's handle: RePEc:kap:enreec:v:25:y:2003:i:3:p:343-356. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)or (Rebekah McClure)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.