Food regulations protect consumer health, mitigate environmental concerns, and promote animal welfare, but they can also hinder innovation, limit entrepreneurship, and generate higher consumer prices. This study examines the number of federal and state regulatory restrictions affecting the beef, pork, poultry, sheep, goat, and seafood industries, including processing, wholesale distribution, and retail sales. We also examine state regulatory heterogeneity associated with animal protein products. Our results suggest that protein supply chains have become subject to tens of thousands of regulatory constraints over the past half-century. We also find substantial heterogeneity in the number of state restrictions associated with animal production, indicative of large differences in the amount of administrative law across states. Results highlight that the patchwork approach of U.S. food policy creates overlapping, cumbersome guidelines for manufacturers, and given the interconnectivity of modern food supply chains, the framework can create additional hurdles for interstate commerce.

We investigate the impact of five types of subsidies granted under the European Union Common Agricultural Policy on the persistent and transient inefficiency of Polish dairy farms. Our research shows that coupled and environmental subsidies reduce transient technical inefficiency, while the opposite is true for Less Favoured Areas (LFA) and other rural subsidies. Simultaneously, environmental, LFA, and other rural subsidies increase persistent technical inefficiency. These results imply that the impact of each type of subsidy on technical efficiency can be different and that the effect of the particular type of subsidy can vary between transient and persistent technical inefficiency.

We utilize a unique primary data set of farms in Russia and Kazakhstan to investigate the link between policy reforms and technical efficiency. These countries have heavily subsidized their domestic agricultural production over the last decade, with a total of around USD 76 billion USD and USD 11.5 billion USD in government funding directed towards the agricultural sectors in Russia and Kazakhstan, respectively. Results of a stochastic frontier analysis make evident that variable inputs, such as fertilizer, have a relatively large influence on wheat production compared to land. Nearly every fifth farm has a technical efficiency level lower than 60%, suggesting significant unrealized production potential. While our analysis shows a negative relation between subsidies and efficiency, other factors, such as farmer’s education, cooperative and agroholding membership, and participation in insurance programs, are positively related to farm efficiency. The results imply that the governments and policymakers could mobilize the unutilized wheat production potential by improving the farmer education system, fostering cooperation among farms, and developing functioning farm insurance schemes.

Using linked data from multiple years of the U.S. Census of Agriculture, this study identifies farm and operator characteristics associated with beginning farm survival, growth, and success. Success is defined as continuing in business for 5 years without a decline in farm real estate asset value. The results indicate which types of beginning farms and farmers are likely to survive and grow—information which could be useful in targeting program resources. By identifying policy-amenable variables that correlate with both farm survival and business expansion, the results also suggest possible mechanisms for increasing the success of beginning farms.

Question effects are important when designing and interpreting surveys. Question responses are influenced by preceding questions through ordering effects. Identity Theory is employed to explain why some ordering effects exist. A conceptual model predicts respondents will display identity inertia, where the identity cued in one question will be expressed in subsequent questions regardless of whether those questions cue that identity. Lower amounts of identity inertia are found compared to habitual inertia, where respondents tend to give similar answers to previous questions. The magnitude of both inertias is small, suggesting they are only minor obstacles to survey design.

This study investigates the relationship between household utilization of food services and retailers and the healthfulness of purchases using data from the 2013 Food Acquisition and Purchase Survey. Overall, our findings suggest that the associations between food service or retailer utilization and the healthfulness of purchases are limited. Thus, interventions may need to be targeted to specific households based on patterns of utilization. We also find evidence for an interdependent relationship between food at home and away from home food shopping behaviors with implications for the healthfulness of purchases.

Fed cattle profitability is determined by complicated dynamic processes of body growth, carcass development, and seasonal prices. A structural model is constructed to contend with all these dynamic processes to predict optimal market timing. Informed simulations are conducted and compared to those observed in the data, as well as to a previous model ignoring the evolution of carcass value. The results indicate that significant improvements to profitability are attainable with the new method. The results also indicate the opportunity cost of not accounting for carcass value, even with error, is more severe than when these dynamics are ignored.

This paper analyzes public willingness to support farmer adoption of best management practices in Oklahoma’s Fort Cobb Watershed, a multiuse area for agriculture, residential water provision, and recreation. The study uses Oklahoma’s Meso-Scale Integrated Sociogeographic Network survey to conduct a contingent valuation analysis of a hypothetical, one-time tax that would support farmer adoption of pasture and riparian buffer management practices. Respondent heterogeneity is modeled using beta-binomial regression. Public support for the hypothetical program is stronger for the tandem implementation of riparian buffer establishment and pasture expansion (willingness to pay [WTP] = $290) and riparian buffer establishment (WTP = $317).

Produce that does not meet sellers’ esthetic standards may be redirected to alternative uses or wasted, but consumer trends indicate potential marketability of blemished produce. We conduct a nonhypothetical experimental auction to elicit consumer willingness-to-pay (WTP) for produce of varying degrees of blemish and test whether valuations are affected by (1) information on food waste resulting from grocery stores’ esthetic standards and (2) additional information on the environmental impacts of food waste. WTP for blemished produce increases as consumers become informed, but the information effects vary by blemishing degree. Market simulations indicate that introducing blemished produce can increase retailer revenue.

This analysis examines aggregate structural changes in the United States dairy industry, 1987–2017. We estimate the likelihood of operation changes in herd size, entry, or exits for each of the lower 48 states using a semiparametric Markov process model. Small- and medium-sized dairy longevity correlates with higher dairy margins and productivity improvements. An increase in consumer expenditures on dairy products is associated with smaller operation exits. Industry dynamics exhibit a persistent trend toward consolidation in most states. The exit probability for each state and all size classes has increased significantly for most states since 2002.

This study scrutinizes spatial econometric models and specifications of crop yield response functions to provide a robust evaluation of empirical alternatives available to researchers. We specify 14 competing panel regression models of crop yield response to weather and site characteristics. Using county corn yields in the US, this study implements in-sample, out-of-sample, and bootstrapped out-of-sample prediction performance comparisons. Descriptive propositions and empirical results demonstrate the importance of spatial correlation and empirically support the fixed effects model with spatially dependent error structures. This study also emphasizes the importance of extensive model specification testing and evaluation of selection criteria for prediction.

In the United States, over 70% of milk production is priced under Federal Milk Marketing Orders (FMMOs). A primary purpose of FMMOs is to facilitate orderly allocation of milk as a limited, perishable resource among alternative uses. Fundamental to FMMOs are the regulatory prices applicable to milk used in cheese and whey (Class III), and nonfat dry milk and butter (Class IV). This work examines a novel milk pricing method based on the concept of opportunity cost for milk used in cheese and whey. This novel method may improve the functioning of FMMOs and the U.S. dairy industry.

The Florida orange juice industry has experienced great challenges—declining orange juice consumption and a domestic supply shortage that has led to increasing imports over the past decade. As growers look for a foothold, the question remains whether it is better to continue promoting orange juice (OJ) sales by focusing on the Florida “brand” or whether orange juice, in general, should be promoted using a federal marketing program. This study aims to identify the value of promoting “Florida” on OJ products to help the industry understand the potential benefits of enhancing the image of “Florida” in consumers’ perceptions of OJ.

The Federal Emergency Management Agency (FEMA) offers a portfolio of flood risk mitigation options for high-risk homeowners, hoping to reduce flood damages. Buyout (home acquisition) and home retrofit (e.g., home elevation) are candidates available to homeowners. FEMA has recently amended and increased its buyout efforts. This study examines homeowners’ stated preference for buyout and home elevation contracts using survey data. Results indicate multiple factors influence the decision to participate in home acquisition and elevation programs. Importantly, we find that preferences vary with the timing (whether the contract is offered before or after a damage event) of the contract offered.

The study provides comparative risk analyses of Australia’s three Victorian dairy regions. Historical data were used to identify business risk and financial viability. Multivariate distributions were fitted to the historical price, production, and input costs using copula models, capturing non-linear dependence among the variables. Monte Carlo simulation methods were then used to generate cash flows for a decade. Factors that influenced profitability the most were identified using sensitivity analysis. The dairies in the Northern region have faced water reductions, whereas those of Gippsland and South West have more positive indicators. Our analysis summarizes long-term risks and net farm profits by utilizing survey data in a probabilistic manner.

The U.S. Agency for International Development has invested limited funds in international agricultural research through U.S. universities. We present a meta-analysis of impact case studies from this investment. The median net present value of economic impacts at purchasing power parity is PPP$8.4 billion compared to a cumulative investment of US$1.24 billion over 1978–2018. About four-fifths of these economic benefits accrued to individuals with incomes under $5.50/day and about 29% to those in extreme poverty. In addition to these limited case studies evaluating financial benefits and costs, we present several types of additional non-economic benefits.

We assessed hunters’ willingness to participate in a scheme to recover the costs associated with processing diseased game. The results indicated that fifty-one percent of the hunters in a region affected by chronic wasting disease are interested in such a scheme and willing to pay an average of $20 per animal. Their willingness to participate is affected by risk perception, hunting experience, use of processing services, and income. Further, establishing such a market-based scheme would be financially profitable to game processors and helpful to wildlife agencies interested in encouraging hunters’ harvest to reduce herds and facilitate effective disease surveillance.

This article uses meta-regression analysis to examine variation in willingness to pay (WTP) for farm-raised seafood and aquaculture products. We measure the WTP premiums that consumers have for common product attributes and examine how WTP varies systematically across study design elements, populations of interest, and sample characteristics. Based on metadata from 45 studies, the meta-regression analysis indicates that WTP estimates differ significantly with the availability of attributes such as domestic and environmental certification, but also with sample income and gender representation.

This analysis introduces a conceptual framework for economic enfranchisement and studies its effect on an individual’s likelihood to set strong financial goals. A conceptual and empirical model is developed to investigate how economic enfranchisement influences an individual’s likelihood to set a goal and the strength of that goal. The empirical analysis employs an ordered probit to account for the two-stage goal-setting and goal strength decision process. Results show that economic enfranchisement has a significant effect on an individual’s likelihood to set financial goals where more enfranchised individuals are more likely to set strong goals than their disenfranchised counterparts.

The Pasture, Rangeland, Forage (PRF) insurance program is aimed to assist producers to manage the risk of forage loss due to the lack of precipitation. However, limited attention has been given to understanding the implications of policyholders’ coverage selection decisions. In this study, three alternative risk-efficient portfolio selection strategies are assessed in to the context of the PRF program. Proposed methods consider all the decision parameters and program restrictions, and they highlighted the underlying relationships between expected revenue, risk, and choice of the coverage parameters. Selection strategies are illustrated by examining the optimal coverage for a grid in South Texas.