This paper examines the prioritization of management factors by farmers that lead to the success of their farm business. The research also examines the heterogeneity of producer prioritization of different success strategies. Using a hierarchical clustering approach, we found that each farmer group prioritizes either managing costs, managing output prices, managing people, managing production, or managing assets. The results indicate that the farmer groups are heterogeneous in their prioritization of five strategic management factors. These results provide useful insights for farmers, farm input providers, and farm service providers.

We study the effects of food safety awareness on consumers’ milk purchasing behavior in Nepal. We conducted consumer survey and employed an instrumental variable regression. We find education, income, and social network to influence food safety consciousness (FSC). Our results indicate the positive impact of FSC on weekly milk expenditure and probability of purchasing milk from milk cooperatives. Any policy that helps to improve the FSC levels will likely increase the purchase of safe milk from the modern market outlet, and lack of such awareness raising policies has prevented the market for safe food from evolving and expanding.

Floriculture value exceeds $5.8 billion in the United States. Environmental challenges, market trends, and diseases complicate breeding priorities. To inform breeders’ and geneticists’ research efforts, we set out to gather consumers’ preferences in the form of willingness to pay (WTP) for different rose attributes in a discrete choice experiment. The responses are modeled in WTP space, using polynomials to account for heterogeneity. Consumer preferences indicate that heat and disease tolerance were the most important aspects for subjects in the sample, followed by drought resistance. To the best of our knowledge, this is the first study to identify breeding priorities in rosaceous plants from a consumer perspective.

The impact of greenhouse gas (GHG) reduction on the efficiency of Alberta’s dairy industry is assessed through a technical efficiency analysis over the period 1996–2016, with and without emissions included as a “bad” output. Environmentally adjusted technical efficiency and technical efficiency estimates are highly correlated; thus, reducing GHG emissions may not result in decreased efficiency. Increased milk per cow, a southern Alberta location, and increased use of forage are associated with greater environmentally adjusted technical efficiency. The opportunity cost of foregone milk revenue associated with reduced emissions is Can$308.29 per metric ton of GHG. The results imply possible policy strategies to reduce emissions.

Crop insurance is the cornerstone program of domestic farm policy in most developed countries. Although most countries’ rating methodology corrects for time-varying movements in the first two moments, it is unclear whether using the entire yield series remains appropriate.  We use distributional tests and an out-of-sample retain-cede rating game to answer whether governments/insurers should historically trim yields in estimating their premium rates. Despite small sample sizes and the need to estimate tail probabilities, the historical data appear to be sufficiently different such that trimming is justified.

We determined how pasture and grazing management practices affected the number of days hay was fed to cattle by season. Data were collected from a survey of Tennessee cattle producers. Days of cattle on hay varied across seasons because of variations in forage production and weather. The number of days hay was fed to cattle varied with pasture-animal management practices such as rotating pastures, forage mixtures, and weed management strategies. Having mixtures of cool- and warm-season grasses reduced the number of days on hay in the winter, spring, and summer months indicating benefits from diversified forages.

State marketing programs for food and agricultural products are largely driven by consumers’ desires to purchase in-state products. Evaluations of state marketing programs have largely ignored consumer location and proximity to surrounding states, measures of ethnocentrism, and the presence of other geographic marketing labels. This study examines willingness to pay for own and out-of-state labels for a generic commodity, milk, within an eight-state region. The results show that an aggregate model conceals consumer heterogeneity in marginal willingness to pay values for state brands as compared to a disaggregate model, even when using random parameter logit models.

Using both multivariate regression and artificial neural networks, the relative impact of variables affecting cow-calf profitability was examined over two cattle cycles for spring- and fall-calving herds that varied in size by time period analyzed when using different fertility management affecting forage yields with and without weather uncertainty. Neural networks had greater predictive accuracy than regression but at the cost of lesser transparency and predictive consistency. Explaining profitability, price, and quantity of cattle sold were consistently and respectively ranked first and second using both approaches. Importance rankings for hay sold and fertilizer were low and less consistent across techniques employed.

Research on producer willingness to adopt individual best pasture management practices (BMPs) is extensive, but less attention has been paid to producers simultaneously adopting multiple, complementary BMPs. Applications linking primary survey data on BMP adoption to water quality biophysical models are also limited. A choice-experiment survey of livestock producers is analyzed to determine willingness to adopt pasture BMPs. Sediment abatement curves are derived by linking estimates of producer responsiveness to incentives to adopt rotational grazing with a biophysical simulation model. Current cost share rates of $24/acre should yield a 12% decrease in sediment loading from pastures.

We estimated the impact of the Indian tariff on the demand for imported fresh apples from theUnited States. A 1% decrease in the tariff would increase the quantities demanded by 3.83%. If India eliminates the tariff on all imported fresh apples, total consumer welfare in terms of the imported fresh apple market will increase by $120 million yearly, 57% of the value of all fresh apples imported by India in 2015. This study adds evidence on the effects of tariff reduction on trade volume and welfare of consumers in the importing country.

This paper builds a comprehensive supply chain model of the US broiler industry that accounts for corn and soybean meal, feed mills, breeders, hatcheries, grow-out farms, broiler processing, value-added processing, and international trade. The model is calibrated and simulated to analyze the effects of (1) corn and soybeans tariffs imposed by China and (2) change in the Canadian tariff-rate quota proposed under US–Mexico–Canada–Agreement. The first scenario indicates that feed price falls while supply increases, which decreases the production costs of breeders and grow-out farms. The second scenario shows that exports to Canada rise at the expense of exports to Mexico.

This study examines the accuracy of United States Department of Agriculture (USDA) crop Acreage and Production forecasts for corn, soybeans, and winter wheat relative to their private counterparts over 1970–2019. Our main findings suggest that USDA forecasts often had significantly smaller errors than their private counterparts. The accuracy of both USDA and private forecasts has improved over time, but the accuracy of USDA forecasts has improved more than that of private forecasts, maintaining the USDA’s relative accuracy advantage. The accuracy advantage of Prospective Plantings and Acreage reports highlights the importance of survey-based approaches used for these forecasts.

Online marketplaces could help direct-to-consumer (DTC) farms compete for customers making grocery purchases on the internet by reducing the search and transportation costs of in-person DTC transactions. While in-person DTC marketplaces have been conducive for metropolitan farms historically, we explore whether rural DTC farms, with distance-based challenges accessing customers, are more likely to have online platforms. We find that rural farms distant from metropolitan counties that are new to DTC marketing are 7% more likely to have online marketplaces than more experienced rural farms, while new metropolitan farms are less likely to have them.

The North American Free Trade Agreement (NAFTA) renegotiation has resulted in an updated agreement known as the United States–Mexico–Canada Agreement (USMCA). Given the contentious nature of the renegotiation process, we analyze the impacts of the USMCA relative to a “what if” scenario of failed NAFTA renegotiation to examine the economy-wide impacts of USMCA on bilateral trade, production, consumption, prices, and domestic and cross-border labor markets. Our results show that, had NAFTA renegotiation failed, the ensuing economic conditions would have created incentive for more, not fewer, migrant workers to enter the United States. USMCA benefits Mexican and Canadian consumers marginally but harms U.S. consumers slightly.

Retail sales of fluid cow’s milk are decreasing while those of plant-based milk analogues are increasing. In this study, we model the relationship between households’ purchases of both types of products and perform simulations. Results show that growing consumer demand for plant-based products is causing cow’s milk sales to decline somewhat faster than otherwise. However, plant-based products are not a primary driver of sales trends for cow’s milk. The decline in cow’s milk sales is substantially greater than the rise in sales of plant-based analogues.

To support decision-makers considering adopting integrated pest management (IPM) cropping in Norway, we used stochastic efficiency analysis to compare the risk efficiency of IPM cropping and conventional cropping, using data from a long-term field experiment in southeastern Norway, along with data on recent prices, costs, and subsidies. Initial results were not definitive, so we applied stochastic efficiency with respect to a function, limiting the assumed risk aversion of farmers to a plausible range. We found that, for farmers who are risk-indifferent to moderately (hardly) risk averse, the conventional system was, compared to IPM, less (equally) preferred.

The purpose of this study is to assess the impact of participation in the land rental market on smallholder farmers’ commercialization using farm household panel data in Tigrai, Ethiopia. Regression results reveal that 1 hectare increase in area rented in by tenant households leads to a 60% increase in the likelihood of participation in the output market as a crop seller and increases the marketed output sold by tenant households by US$ 200/year. The results appear to indicate that land rental market in the land scarcity economy to some extent contributes positively in the facilitation of transformation toward smallholders’ commercialization.

This study provides a road map for creating and operating a student-managed investment fund (SMIF) as an experiential learning opportunity in commodity market analysis. We describe the reasons for implementing a SMIF and the benefits it offers relative to traditional simulation approaches. We outline the necessary steps for starting a SMIF and explain its organizational structure. We discuss a SMIF’s operation and main activities, which include recruitment, training, trading, and interaction with the client and alumni. The implications of participating in a SMIF are reviewed within a cost-benefit framework.

In this research, we analyze the economic effects across various crop insurance subsidy and policy scenarios to determine producer insurance choice response, total premium and subsidy payments and study their economic implications on dryland corn, soybean, and winter wheat producers. We rely on the expected utility maximization framework to rank policy combination sets that are available to a typical producer to analyze the impacts of crop insurance subsidy changes and elimination of certain insurance policies across the three crops. Several scenarios were analyzed across subsidy and policy options and were found to have noticeably different farmer behavioral responses and economic implications.

This study measures the effect of text message receipt on behavioral change by Ecuadorean blackberry farmers. We examine whether text messages affect knowledge about specific technologies or serve as reminders to farmers to employ practices as part of their crop management strategy. Drawing from well-known theories of behavioral change, we identify pathways relevant to technology adoption. We then describe results from a randomized experiment and measure the impact of the intervention through these pathways. Results suggest that in the blackberry context, timely text messages remind farmers about recommended practices and increase adoption. Effects on knowledge enhancement are not significant.