Advanced Search
MyIDEAS: Login to save this article or follow this journal

A Combinatorial Optimization Approach to Nonmarket Environmental Benefit Aggregation via Simulated Populations

Contents:

Author Info

  • Stephen Hynes
  • Nick Hanley
  • Cathal O’Donoghue

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.

Download Info

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.
File URL: http://le.uwpress.org/cgi/reprint/86/2/345
Download Restriction: A subscripton is required to access pdf files. Pay per article is available.

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.

Bibliographic Info

Article provided by University of Wisconsin Press in its journal Land Economics.

Volume (Year): 86 (2010)
Issue (Month): 2 ()
Pages: 345-362

as in new window
Handle: RePEc:uwp:landec:v:86:y:2010:i:2:p:345-362

Contact details of provider:
Web page: http://le.uwpress.org/

Related research

Keywords:

Find related papers by JEL classification:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  1. Cathal O'Donoghue & Karyn Morrissey & John Lennon, 2014. "Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices," International Journal of Microsimulation, Interational Microsimulation Association, vol. 7(1), pages 26-75.
  2. Stephen Hynes & Daniel Norton & Nick Hanley, 2013. "Adjusting for Cultural Differences in International Benefit Transfer," Environmental & Resource Economics, European Association of Environmental and Resource Economists, European Association of Environmental and Resource Economists, vol. 56(4), pages 499-519, December.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:uwp:landec:v:86:y:2010:i:2:p:345-362. 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: ().

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.