A Combinatorial Optimization Approach to Nonmarket Environmental Benefit Aggregation via Simulated Populations
AbstractThis 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.
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Bibliographic InfoArticle provided by University of Wisconsin Press in its journal Land Economics.
Volume (Year): 86 (2010)
Issue (Month): 2 ()
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Web page: http://le.uwpress.org/
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
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