Please use this identifier to cite or link to this item:
Appears in Collections:Economics Journal Articles
Peer Review Status: Refereed
Title: A combinatorial optimization approach to nonmarket environmental benefit aggregation via simulated populations
Author(s): Hynes, Stephen
Hanley, Nicholas
O'Donoghue, Cathal
Contact Email:
Issue Date: May-2010
Date Deposited: 3-Apr-2013
Citation: Hynes S, Hanley N & O'Donoghue C (2010) A combinatorial optimization approach to nonmarket environmental benefit aggregation via simulated populations. Land Economics, 86 (2), pp. 345-362.
Abstract: This paper considers the use of a "combinatorial optimization" technique in the aggregation of environmental benefit values. Combinatorial optimization is used to statistically match population census data to a contingent valuation survey The matched survey and census information is then used to produce regional and national total willingness-to-pay figures. These figures are then compared to figures derived using More standard approaches to calculating aggregate environment benefit values. The choice of aggregation approach is shown to have a major impact upon estimates of total benefits at a regional level, especially when the target population displays considerable heterogeneity across space.
DOI Link: 10.3368/le.86.2.345
Rights: The publisher has not responded to our queries therefore this work cannot be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Licence URL(s):

Files in This Item:
File Description SizeFormat 
Hanley_2010_A_Combinatorial_Optimization_Approach.pdfFulltext - Published Version5.6 MBAdobe PDFUnder Embargo until 3000-01-01    Request a copy

Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.

This item is protected by original copyright

Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved

If you believe that any material held in STORRE infringes copyright, please contact providing details and we will remove the Work from public display in STORRE and investigate your claim.