Crop rotations in the United States increasingly involve few crops dominated by corn frequently combined with soybeans. We assess factors tied to corn acreage intensification over the past two decades. Using state-level data of 11 U.S. Corn Belt states from 2000 to 2021, we applied a panel fixed effects instrumental variable modeling approach to investigate these linkages. Findings suggest Conservation Reserve Program acreage releases, crop prices, ethanol demand, farm size, productivity, and genetically modified varieties positively impact corn acreage intensity. These results imply crop planting decisions are complex and are not uniquely attributed to biofuel considerations.

Goat meat consumption has grown in recent years due to dietary and cultural changes. US demand has surpassed domestic supply, presenting an opportunity for industry expansion. This study provides valuable insights into consumer preferences for goat meat. A sample of 1,015 Floridians was randomly assigned to a control and three treatment groups that included information about the health and/or environmental benefits of goat meat. Results show a significant difference in willingness to pay for goat meat under different information treatments. Persuasive marketing campaigns can increase consumers’ preferences for goat meat by raising awareness of the health and environmental benefits.

The sustainability of grazed rangelands can be improved by adopting innovative management practices that enhance the ecological resilience, productivity, and long-term viability of rangeland ecosystems. This study applied a bivariate Multiple Indicator–Multiple Causation model to examine how landowner characteristics are associated with their perceptions concerning patch-burn grazing (PBG) and mixed-species grazing (MSG). Data were collected through a mail survey of landowners in the Southern Great Plains who own at least 100 acres. The significant and positive correlation between PBG and MSG suggests that their relative preference tends to change together, potentially allowing them to complement when implemented together.

This study investigates whether wording a promotional marketing message as originating from the US government vs. the US president impacts consumers’ responsiveness to the message. Using a discrete choice experiment, it examines consumer responsiveness to President Biden’s order promoting domestic production. Results indicate that consumers are willing to pay a premium for domestically produced tomatoes, with variations based on political affiliations and product attributes like organic labeling and farm employment practices. However, findings on the significance of information treatment effects are mixed, suggesting that consumer responsiveness is unaffected by wording the message as originating from a broad political body vs. a specific politician.

This study examines the impact of county-level immigration enforcement of section 287(g) mandates on the number of businesses in the United States. Using the difference-in-differences model, we find that the implementation of 287(g) negatively affected the total number of businesses. We find that counties with 287(g) agreements experienced a 6 percent decrease in the total number of businesses per 1000 county population and this negative effect appeared to be more prominent in businesses with a higher number of employees. Our findings shed light on the complex impacts of immigration policies on businesses, especially those reliant on immigrant labor.

Corporate political engagement is increasingly noticeable at grocery stores; however, there is limited research evaluating the impact on consumer demand. Here, we investigate the case of Aunt Jemima (AJ), which responded to criticism that the branding was racist by removing the eponymous image and renaming the brand Pearl Milling Company. We evaluate the changes on demand for both the brand and their competitors and find that renaming the brand reduced both willingness to pay for and choice of AJ and increased choice of competitors. Finally, we show these effects are mitigated significantly by informing consumers of the reason for rebranding.

This study explores the economics of culling decisions in cow-calf operations in the Southern U.S. with a novel application of a dynamic mathematical programing model. The results provide an optimal culling strategy under the base model and a range of optimal strategies that vary with respect to different components such as fertility probabilities, prices, replacement costs, and pregnancy checking. The results suggest that producers should cull all cows that are older than age 10 and cows that fail to calve once they reach the age of 7. The sensitivity analysis underlines the impact of market conditions, replacement costs, and pregnancy check use on the optimal culling decisions.

In Africa, rangeland ecosystems have been exploited due to heavy and unsustainable grazing. Policy and institutional mechanisms such as integrating silvopastoral systems with sustainable grazing practices have been devised to mitigate the negative effects. In this study, we investigated whether the uptake of sustainable grazing management in the form of controlled grazing spurs investment in multipurpose trees (MPTs) and enhances income. Using instrumental variable regression, we find that controlled grazing increases not only the propensity to plant MPTs but also the number of tree species. More importantly, IV and treatment effect results indicate that controlled grazing enhances income from MPTs.

The goal of this paper is to systematically review the literature on United States Department of Agriculture (USDA) forecast evaluation and critically assess their methods and findings. The fundamental characteristics of optimal forecasts are bias, accuracy and efficiency as well as encompassing and informativeness. This review revealed that the findings of these studies can be very different based on the forecasts examined, commodity, sample period, and methodology. Some forecasts performed very well, while others were not very reliable, resulting in forecast specific optimality record. We discuss methodological and empirical contributions of these studies as well as their shortcomings and potential opportunities for future work.