Motivated by traffic congestion and air pollution, Beijing is one of several major cities to restrict vehicle ownership by requiring residents to win a lottery for the right to obtain an additional car. We examine the welfare cost of preventing people from owning cars because of misallocation: under a lottery, some individuals with low willingness to pay (WTP) for cars can obtain cars, while other individuals with high WTP cannot. We estimate welfare costs using a new contingent valuation method survey of Beijing lottery participants which we designed and conducted explicitly for this purpose. We find that restricting vehicle ownership reduced private welfare by 26 billion yuan. Back-of-the-envelope calculations suggest that the benefits of lower congestion and pollution roughly equal the costs. Our WTP estimates indicate a net welfare gain of approximately 32 billion yuan if Beijing’s lottery were replaced with an auction, which is similar to previous estimates.

This article reviews the rationale for and various approaches used by economists to incorporate distributional consequences of projects or policies into benefit-cost analyses. Approaches reviewed include distributional weights and metrics based on the Lorenz curve. Analysis of distributional issues in partial equilibrium and general equilibrium settings are briefly reviewed. We present an empirical demonstration of how the contingent valuation method (CVM) and hedonic property methods (HPM) can be used to quantify how non-market environmental benefits are distributed by income and ethnicity. Using CVM, the distribution of non-market benefits can be cross-tabbed with respondent demographics, so that a variety of “distributions” of benefits by relevant demographic groups can be calculated. Using the HPM, the analyst can statistically test to see if the implicit price gradient varies with differences in income and ethnicity. In our empirical example, we find that ethnicity and income interaction terms on the implicit price gradient are statistically significant suggesting differential effects of National Forest fire suppression policies on Hispanics and low income households.

The study uses interval regression to investigate factors affecting farmers’ willingness to pay for soil testing services in Northern Haiti. The model reveals that factors such as the type of crops grown, group membership, farmers’ educational level, access to credit, gender, contact with extension services or any institution, type of soils, income level, participation in soil testing program and farm size affect the amount to be paid for soil testing services. These results imply that the training module on soil testing and financial support in form of subsidies or access to credit should be provided to farmers.

The problem of endogenous stratification associated with on-site sampling has been overlooked in the Contingent Valuation Method (CVM). We find that using on-site samples of visitors overstates visitor willingness to pay (WTP) estimates relative to a household sample of visitors, and substantially overstates the unconditional population values. We provide two methods of correcting WTP of on-site samples. The uncorrected on-site sample CVM yields WTP of $132 per trip, while visitor WTP obtained from a random sample of households had a value of $66 per trip. Adaptation of choice-based sampling correction estimator to the on-site CVM data yields $73 per trip, not statistically different from the visitor value from the household survey, but significantly different from the uncorrected on-site sample value.

The contingent valuation method was used to elicit Japanese consumers' willingness-to-pay for genetically modified organism (GMO) segregation programs. The results revealed that most consumers pay nonnegligible premiums for products produced under strict GMO-segregation programs. However, we found that the premium did not vary by the threshold level of GMO content in the product. We further found that a government certification did not increase the premium for GMO-segregation programs. Therefore, an additional mandatory regulation to reduce GMO contaminations would not be worthwhile because such a regulation would incur substantial enforcement costs.