This study examines the grazing management plans (GMPs) adoption and prioritization of environmental and economic objectives among U.S. cow-calf and stocker operations, utilizing 2020–2021 survey data and logistic regression analysis. Findings reveal regional adoption differences, with higher rates in the Midwest. Operations with succession plans, larger grazing lands, and stocker activities are more likely to adopt GMPs. Operations with more privately owned land and smaller herd sizes prefer environmental goals, while those with less grazing land prioritize economic outcomes due to resource concerns. The study provides insights for policies promoting GMP adoption and sustainability in the U.S. beef sector.

A logistic regression (logit) model was developed to examine how socioeconomic characteristics of cow-calf producers influenced their perceptions of themselves as profit maximizers. Amount of pasture acreage, percent of income earned from the cow-calf operation, and desire to increase net worth and efficiently use labor significantly increased the producer's probability of claiming to be in the business primarily to maximize profits. Some sociological reasons for owning cattle significantly reduced the probability of the producer claiming to be a profit maximizer while others significantly increased the probability.

Using USDA's Agricultural Resource Management Survey data, factors leading to the adoption of technology, management practices, and production systems by U.S. beef cow-calf producers are analyzed. Binary logit regression models are used to determine impacts of vertical integration; region of the U.S.; farm size, diversification, and tenure; and demographics on adoption decisions. Significant differences were found in adoption rates by region of the U.S., degree of vertical integration, and size of operation, suggesting the presence of economies of size and vertical economies of scope. Results also indicate high degrees of complementarity among technologies, management practices, and production systems.

This study provides valuable insights into cow-calf producer voluntary participation in the National Animal Identification System and producers' perceptions of several issues critically impacting the success of voluntary traceability systems. Cow-calf producers believe that the most important issues to the U.S. beef industry in designing a national, individual animal traceability system are monitoring/managing disease, maintaining current foreign markets, accessing foreign markets, and increasing consumer confidence. Furthermore, producers are concerned with cost, liability, reliability of technology, failure of system to meet stated goals, and confidentiality of information associated with these systems.

Most technology adoption research has focused on crops. Primary data were used to determine differences in management practices among two groups of Oklahoma cow-calf producers based on herd size and cattle income dependence. Significant differences were noted between two groups of producers (smaller operations with less dependence on cattle versus larger with more dependence on cattle) in 79% of the management practices examined. Logit models determined factors influencing the probability of adopting 17 recommended practices. Important factors included the firm goal to choose practices that reduce labor, income dependence on cattle, human capital, and size of operation.