A Combinatorial Optimization Approach to Nonmarket Environmental Benefit Aggregation via Simulated Populations
研究用组合优化技术将人口普查数据与条件价值评估调查匹配，生成区域和国家总支付意愿，并与标准方法比较，发现加总方法对区域总效益估计影响很大，尤其当人口空间异质性高时。
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.