We investigated whether diversification and/or structural change would improve Norwegian agriculture. Using a flexible technology approach to account for different technologies, we assessed economies of scope and scale of dairy and cropping farms, including regional differences. We fitted translog cost functions to farm-level panel data for the period 1991–2014. We found both economies of scope and scale on the farms. Dairy farms have an economic incentive to integrate dairying with cropping in all regions of Norway, and vice versa. Thus, policy makers should eschew interventions that inhibit diversification or structural change and that increase the costs of food production.

Researchers and citizens alike question the long-term impacts of the shale oil boom on local communities. Studies have considered the boom’s effects on employment, income, mobility, and human capital acquisition. This research specifically builds on research considering shale effects on secondary schooling. Using county-level data from Texas, we investigate two questions: (1) Has the latest oil boom led to a reduction in local high school graduation? (2) Is this effect different for immigrants, a group potentially vulnerable to local wage effects? Findings indicate insignificant overall effects; however, local oil drilling increases immigrant high school dropout rates.

This article investigates the evolution of hog spatial market integration in China based on a minimal spanning tree by using provincial hog price data. The empirical results show that hog spatial market integration in China has increased gradually and reached a high stable level after 2012. Hog spatial market integration underwent a structural break in April 2007, after which hog market integration was greatly strengthened. Moreover, the market power of hog markets in eastern China and central China is increasing, and Shandong is a price setter, whereas hog markets in southwestern, northeastern, and northern China are price followers.

Using cover crops can be beneficial not only for soil health but also for the environment. However, relatively few farmers have adopted cover crops, so understanding the barriers to adoption is necessary. We used a probit model with data on 1,712 soybean producers from the 2012 USDA Agricultural Resource Management Survey to identify factors affecting adoption of cover crops. We found that more precipitation was positively correlated with adoption, as was more hired labor. Adoption was also positively correlated with crop diversification and no-till adoption, which may relate to equipment availability.

We use experimental methods to investigate subsidy incidence, the transfer of subsidy payments from intended recipients to other economic agents, in privately negotiated spot markets. Our results show that market outcomes in treatments with a subsidy given to either buyers or sellers are significantly different from both a no-subsidy treatment and the competitive prediction of a 50% subsidy incidence. The disparity in incidence across treatments relative to predicted levels suggests that incidence equivalence does not hold in this market setting. Moreover, we find no statistical difference in market outcomes when benefits are framed as a “subsidy” versus a schedule shift.

Ex ante analyses of agricultural practices often examine stated preference data, yet response behavior as a potential source of bias is often disregarded. We use survey data to estimate producers’ willingness to rent public land for rotational grazing in Wisconsin and combine it with information on nonrespondents to control for nonresponse and avidity effects. Previous experience with managed grazing and rental decisions influenced who responded as well as their rental intentions. These effects do not produce discernable bias but still encourage attention to this possibility in other ex ante contexts. Land rental determinants and willingness-to-pay estimates are also related to grazing initiatives.

After Mexican sugar producers gained unlimited, tariff-free access to the U.S. market in 2008, U.S. and Mexican governments bilaterally agreed to constrain Mexico’s sugar exports to the United States because of dumping allegations by U.S. producers in December 2014. This analysis employs a dynamic partial equilibrium model to estimate the price and welfare impacts of the U.S.-Mexico agreement by simulating the reimplementation of North American Free Trade Agreement sugar policies. Estimates suggest liberalizing the market would decrease U.S. sugar prices, translating to an average annual decrease in producer surplus of approximately $660 million and increase in consumer surplus of $1.67 billion across the simulation.

Producers often contemplate expanding or contracting production to take advantage of cyclical cattle price trends. This study quantifies profitability and risk implications of (1) constant herd size, (2) dollar cost averaging, and (3) price signal-based, anticipatory countercyclical expansion/contraction strategies. Weather simulation on forages with different calving season and land use intensity showed fall calving herds with added hay sales from greater fertilizer use and the countercyclical herd size management strategy to be most profitable regardless of weather or time period analyzed. Income risk was comparable to least fertilizer use. Overall, holding herd size constant led to little regret.

Consumer preferences are likely to become more important in policy and market initiatives in developing countries. This study explores current and potential demand for high-quality beef in Ecuador. A survey of 547 households (including two choice experiments) was carried out in order to gather knowledge, quality perceptions, and experiences regarding Ecuadorian beef and preferences for specific beef attributes. Consumers have positive and economically significant willingness-to-pay values for all credence attributes considered in the study: sanitary control, meat maturation, animal welfare, and traceability. The results provide evidence that there is a potential market for increased-quality beef in Ecuador.

Animal disease outbreaks can cause disruptions in domestic and international markets. Business continuity aims to provide a proactive approach to alleviate some of these negative effects on consumers, producers, and agribusinesses. Using a partial equilibrium model of the U.S. egg industry, the economic impacts of business continuity during an epidemiological simulated disease event are modeled. Results show total welfare losses can be reduced by allowing permitted movement during an outbreak given a specified level of biosecurity. Understanding the potential market responses business continuity can have on the market may lead to reductions in the negative implications of a disease event.

Anaerobic digestion systems can reduce greenhouse gas emissions while turning waste products into energy. Past U.S. economic research on anaerobic digesters has studied dairy farms, but limited economic information is available on anaerobic digestion systems for swine. Net present values (NPVs) were calculated for biodigesters and covered lagoons under different coproduct and policy scenarios. With no government intervention, covered lagoons are more promising for swine operations than more capital-intensive biodigesters. As there is interest in subsidizing anaerobic digestion systems, subsidies equal to a $38/t social cost of carbon would provide positive NPVs.

This study utilizes a dynamic programming decision model, considering an intertemporal nitrogen carryover function, combined with both linear stochastic and deterministic plateau response functions to evaluate optimal nitrogen fertilizer decision rules and net present values (NPVs) in Texas High Plains cotton production. Nitrogen recommendations and NPVs are influenced by response function choice and nitrogen-to-cotton price ratios. Results indicate the stochastic plateau function better describes the data; the optimum nitrogen recommendation is to apply approximately 40 lb. of nitrogen for each bale of cotton production when considering nitrogen carryover information.

The Great Plains is the most important wheat producing region in the United States. Dwindling returns and changes in government farm programs have reduced wheat acreage, raising concerns over its future viability. Small farms and marginal areas are particularly vulnerable, including the western Great Plains (WGP). To assess the technical and economic viability of wheat farms, the efficiency of 141 wheat farms in the WGP was estimated. Results found substantial inefficiency among all producer types. The largest source of inefficiency was input use among smaller farms. The smaller farms were the most scale efficient, reducing concerns over their future viability.

Basis forecasting is important for producers and consumers of agricultural commodities in their risk management decisions. However, the best performing forecasting model found in previous studies varies substantially. Given this inconsistency, we take a Bayesian approach, which addresses model uncertainty by combining forecasts from different models. Results show model performance differs by location and forecast horizon, but the forecast from the Bayesian approach often performs favorably. In some cases, however, the simple moving averages have lower forecast errors. Besides the nearby basis, we also examine basis in a specific month and find that regression-based models outperform others in longer horizons.

We use models incorporating the normalized difference vegetation index (NDVI) derived from remote sensing satellites to improve soybean yield predictions in 10 major producing states in the United States. Unlike traditional methods that assume an ordinary least squares model applies to all observations, we allow for global flexibility in the relationship between NDVI and soybean yield by using the flexible Fourier transform (FFT) model. FFT results confirm that there is a nonlinear response of soybean yield to NDVI over the growing season. Out-of-sample predictions indicate that allowing for global flexibility with the FFT improves the predictions in time-series prediction and forecasting.

China’s small-scale agricultural producers face many challenges to increasing productivity and efficiency. In recent years, the Chinese government has provided support for farmer professional cooperatives (FPCs) to connect small farms with upstream and downstream processes in the food supply chain. This study combines propensity score matching and sample selection-corrected stochastic production frontier analysis to estimate the impacts of FPC participation by greenhouse vegetable producers on technical efficiency and income. Results indicate that FPCs help participants improve returns to scale and marginal returns to land and labor, increase technical efficiency, and obtain ¥4,460 (18%) greater income per greenhouse than nonparticipants.

This article examines the effects of ocean-related decadal climate variability (DCV) phenomena on climate and the effects of both climate shifts and independent DCV events on crop yields. We address three DCV phenomena: the Pacific Decadal Oscillation (PDO), the Tropical Atlantic Sea-Surface Temperature Gradient (TAG), and the Western Pacific Warm Pool (WPWP). We estimate the joint effect of these DCV phenomena on the mean, variance, and skewness of crop yield distributions. We found regionally differentiated impacts of DCV phenomena on growing degree days, precipitation, and extreme weather events, which in turn alter distributions of U.S. regional crop yields.

This article studies the political activities of individual cotton farmers and cotton political action committees (PACs) by exploiting a vote to amend the 2008 Farm Bill. Using a simultaneous model, I estimate reduced form equations for donations from cotton farmers and cotton PACs using tobit models, which instrument donations in the probit vote equation to control for the hypothesized endogeneity between campaign contributions and legislative votes. I find evidence that cotton farmers, like cotton PACs, contribute to legislators representing a median cotton farming constituency. I find no evidence that contributions from cotton farmers or cotton PACs significantly affected the vote decision.

We analyze the effects of Price Loss Coverage (PLC), Agriculture Risk Coverage (ARC), individual revenue protection insurance (RP), and Supplemental Coverage Option (SCO) on the RP coverage level, certainty equivalent, and program payments. The model is calibrated to a representative wheat farm in Mitchell County in Kansas to analyze the effects of various policies. The result highlights that when insurance is framed as an investment, cumulative prospect theory predicts farmers’ coverage decisions accurately at 70%. ARC or PLC program increases the RP coverage level to 75%, but PLC and SCO jointly decrease the RP coverage level to 70%.

With the seafood food market endowed with various attributes, consumers may prefer certain certifications over others. By surveying a diverse sample of respondents, this study examines consumer preference for farm-raised shrimp in Kentucky and South Carolina. Respondents’ assessment of certain seafood labels is evaluated using a stated preference survey. Willingness-to-pay (WTP) estimates and various product profiles are generated. Consistent with previous studies, a strong preference for fresh and “local” was found. Furthermore, Homegrown by Heroes was highly valued among participants, as well as Best Aquaculture Practices. Based on WTP estimates for these attributes, marketing and policy recommendations are discussed.