Fed dairy cattle represent an important and growing component of the U.S. fed cattle market. However, little is known about factors affecting fed dairy cattle transaction prices. This study analyzes confidential transaction-level data collected by United States Department of Agriculture Agricultural (USDA) Marketing Service (AMS) under Livestock Mandatory Reporting to determine how data collected for price reporting explains price variation. Hedonic models are developed to illustrate potential use to enhance fed dairy cattle price reporting. However, important price variation remains unexplained suggesting factors not available in AMS data are associated with fed dairy cattle price variation. We suggest AMS collect and utilize additional data to enhance price reporting.

Consumer misperception and misinterpretation of food labels can lead to consumers not buying a product or purchasing products that do not align with their environmental or sustainability interests. Consumer purchasing behavior can be explained by looking at consumer food values or food quality attributes. This study aimed to (a) determine the effect label information has on consumer preference shares for selected sustainability-related food labels and (b) if correlations exist between food labels and food values. To the best of our knowledge, this is the first study to examine the comprehension of 12 different labels and identify how food labels relate to food value preferences. Responses from the best-worst scaling experiment of food value and environmental food label choice sets were analyzed using the random parameter logit model. Results reveal preference shares changed for each label as more information was provided to the respondents about the various labels included in the study. These findings should support food policy efforts requiring strict, clear label standards. Food labels should represent the food’s core food values to increase consumer preference for the product. These findings also further support the need for efforts to increase consumer knowledge and understanding of the labels on food packaging.

Government programs promoting locally produced foods have risen dramatically. But are these programs actually convincing consumers to pay more for locally produced food? Studies to date, which have mostly relied on hypothetical stated preference surveys, suggest that consumers will pay premiums for various local foods and that the premiums vary with the product and presence of any geographic identity. This study reports results from a large field experiment involving 1,050 adult consumers to reveal consumers’ willingness to pay (WTP) premiums for “locally produced” foods – mushrooms and oysters. Despite strong statistical power, this study reveals no positive effect of the locally produced label on consumer WTP. These null results are contrary to most of the existing literature on this topic. The finding that consumers are not willing to pay more for local foods has important implications for state and federal agencies that promote labeling campaigns that seek to increase demand and generate premiums for locally produced foods.

Expert and peer reviews and popularity are freely available both on the Internet and in printed materials for a variety of food products. Using two experimental studies with non-hypothetical tastings and auctions, we explore the impact of peer tasting popularity, actual peer ratings, and expert ratings on demand for wines consumers can or have tasted. We find that higher own wine ratings are associated with higher willingness to pay (WTP). Morevoer, higher peer and expert rating scores increase consumer WTP for wine even after controlling for the impact of consumers’ own ratings. Observed peer popularity also increases WTP for preferred wines.

Community Rating System (CRS) incentivizes investments in risk reduction above NFIP standards using discounts on insurance premiums. These discounts are cross-subsidized by increasing premiums in non-CRS communities. We examine the distribution of these subsidies and find that redistribution does occur, but the gains and losses are not economically large with 95% of households gaining or losing no more than 0.3% of household income. We also examine their relationship with other community characteristics and find that the strongest predictor of premium reductions is the underlying flood risk level within the community. Thus, CRS appears to reduce the cost of living in the riskier communities.

Dairy farming in Europe faces profound environmental, social, and economic sustainability challenges, which are of significant policy interest. These challenges support the need for a transition toward the uptake of more sustainable dairy farming practices. This paper examines the effects of an advisory instrument “balanced sustainability information” on farmers’ preferences for more grass-based feeding systems using a between-subjects design and a discrete choice experiment among a sample of Swedish dairy farmers. Conceptually, we develop a state-dependent utility framework with Bayesian updating to motivate the impact pathway. Our results demonstrate that on average, balanced sustainability information has negligible effects on farmers’ feed choices, which could be a consequence of opposing responses to the information, among others. Considering farmer heterogeneity based on their identities and prior knowledge, we find support for some evidence of treatment effects. Our findings highlight important and policy-relevant critical reflections about overoptimistic expectations of information provision as an instrument to nudge behavioral change toward more sustainable farming practices.

Hidden consumption is a potential problem when consumers’ expenditure data from household surveys are used in demand analyses. A solution is to collect and use actual consumption data. This study compares demand estimation using consumption and expenditure data and evaluates meat demand in Nigeria. Data are from a nationally representative panel from Nigeria. The results show the elasticities estimated across both datasets were very similar; thus, if the only objective of data collection is to estimate elasticity using a demand system framework, collection of both types of data (consumption and expenditures) may be unnecessary. The elasticity estimates classify poultry, beef, and processed seafood as luxuries, while other meat and unprocessed seafood are classified as necessities. Own-price elasticities from both datasets indicated that poultry, beef, and processed seafood were price-elastic, and poultry was the most price-elastic.

Access to safe drinking water is among the most important determinants of public health outcomes. We pair household-level data from Iraq together with data on armed conflict and adopt a generalized difference-in-differences approach to study the relationship between household drinking water sources and armed conflict intensity. We find that households located in conflict-affected areas are more likely to use piped water accessed at their homes or bottled water as their primary source of drinking water, but are less likely to use public water sources or tanked water delivered on trucks and carts. We explore the temporal dynamics of these adjustments as well as heterogeneity by household characteristics. We further present direct evidence that conflict-exposed households are less likely to travel to obtain water.

Facing increasing nonrenewable and environmental concerns with fossil power generation, renewable energy is being supported by government mechanisms. With the power generation cost of renewables generally higher than fossil fuels, determining the optimal level of these mechanisms requires an understanding of households’ prosocial behavior toward renewables. The issue is determining the magnitude households are willing to pay (WTP) for alternative renewables. Our hypothesis is this behavior varies by the type of renewable energy. As a test of this hypothesis, we apply a discrete choice experiment to measure households’ WTP. Results support our hypothesis with a positive WTP for solar energy, leading to a 62% reduction in solar subsidy, and a negative WTP for biomass and wind sources.