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.

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 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.

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.

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.

The growing prevalence of clean energy raises the question of possible associated externalities. This article studies the effects of nuclear power plant development (and, as a result, the increased amount of water in the atmosphere from evaporative cooling systems) on nearby crop yields and finds that an average nuclear power plant increases local soybean yields by 2 and corn yields by 1 percent. Considering the low elasticity of demand for these crops, the yield increases translate to annual net benefits of $229 million (2020 US dollars) – $317 million in losses to farmers and $546 million in benefits to consumers.

The feeder cattle futures contract has been criticized in recent years as not providing an effective hedging instrument. Following historically volatile cattle markets in 2014–2015, feeder cattle basis risk escalated, fueling futures contract concerns. This study assesses these concerns, utilizing weekly auction data from 32 feeder cattle markets from 1992 to 2021. Examined for the first known time, feeder cattle market variation had a statistically and economically significant influence on basis risk. Basis variation differed across regions and marketing periods. Feeder cattle basis risk was historically high in 2014–2015 but declined to levels similar to 2011 by 2018.

Data from 1,422 feeder cattle teleauction lots were used to assess the impacts on profitability of the Virginia quality assured (VQA) feeder cattle program. The analysis finds higher profits for VQA cattle due to their faster turnover and lower feed costs; however, certification does not have a significant effect on price received by producers. The analysis further suggests that the cost associated with production under VQA should be considered in addition to price effects studied in previous literature.

The study applies parametric and nonparametric estimation methods to determine hedonic prices of rice quality attributes, and a partial equilibrium model to determine the payoff to investing in quality improvement in five countries in Sub-Saharan Africa. Results indicate that consumers are willing to pay price premiums for head rice, slender grains, peak viscosity, parboiled rice, and rice sold in urban markets. However, they strongly discount amylose content, rice with impurities and imported rice. Investing in quality improvement through amylose content reduction leads to net welfare gains with a benefit-cost ratio of 47.86 and internal rate of return of 90%.