We present an optimal control model to simultaneously determine the optimal planting density, thinning schedules, harvest age, and revenues of an even-aged longleaf pine (Pinus palustris Mill) stand, an iconic species in the Southeastern United States. We assume that the forest stand is managed for timber production and carbon sequestration under different site indexes—a measurement of potential forest productivity. Our simulation results show that the optimal planting density tends to increase when longleaf pine is managed in medium and high site indexes. Furthermore, the optimal harvest age tends to be extended with payments for carbon sequestration.

During the COVID-19 pandemic, U.S. households received economic impact payments through several federal aid programs. Simultaneously, the U.S. food sector experienced dramatic shifts in the source of demand and consumer spending behavior. Motivated by this, we evaluate the associations between federal financial assistance and both household food-at-home and food-away-from-home expenditures. The first two economic impact payments were associated with increased spending on food-at-home, while only the first was associated with increased spending on food away from home. All three payments were associated with an increased probability of spending on food away from home.

We use a Bayesian approach to estimate elasticities of former Conservation Reserve Program (CRP) land allocation and the impact of the US–China trade conflict on post-CRP land transitions. Economically acceptable elasticities of land exiting CRP are important for applied analysis, including market shocks and environmental policy. Taking as given the total area exiting the CRP, the Phase 1 deal raised the posterior mean of national post-CRP soybean area by 155 thousand acres and the market facilitation program by 89 thousand acres. Cross-commodity effects are important, and elasticities vary depending on the direction and magnitude of changes in net returns and payments.

Using the case of chronic wasting disease (CWD) in white-tailed deer, we estimated hunters’ willingness-to-pay (WTP) for testing their game and determined how their perception of disease risk, trust, and confidence in wildlife agency affected hunter participation in ongoing disease surveillance. The average WTP for testing was $23.75 per deer, and it was positively related to trust and confidence in the wildlife agency and the perception of risk about deer populations in the declining area and the pathogen spreading to other areas. These findings imply that implementing active outreach programs can improve hunter participation in user-paid systems for CWD surveillance.

This study examines the impact of land tenure rights on the adoption of short- and long-term agricultural practices and the impact of these practices on the income and food insecurity for rural households in Burkina Faso. The bivariate probit model and propensity score matching are used to analyze data collected from 4,398 rural households. The results show that ownership of permanent land rights only increases the likelihood of adopting long-term agricultural practices. In addition, adoption of short-term practices increases household income and reduces food insecurity, while adoption of long-term practices only increases household income.

This paper investigates the factors that drive farmers’ simultaneous adoption of six water conservation practices (WCPs) and the intensity of their adoption. We estimate farmers’ adoption of these WCPs with a multivariate probit model, and for the intensity of their adoption, an ordered probit model is estimated. Our results show that gender, age, education, and farm size (among other factors) influence the probability and extent of adoption of WCPs. Furthermore, combinations like drip and/or sprinkler irrigations and cover cropping, drip and/or sprinkler irrigations and intercropping (among others) are complements, suggesting the bundling of these WCPs.

Profitability, yield, and fertilizer use are compared across three different potassium (K) fertilizer rate recommendation ideologies. Existing agronomic, “build and maintain” rate recommendations (KE) are compared to profit-maximizing rates with and without taking long-run soil-test K (STK) implications into account. Regardless of starting STK, K use equilibrated over the course of 3 years irrespective of ideology. Since taking long-run STK into account did not alter ending STK and only led to a miniscule yield effect, we encourage producers to use annual profit-maximizing K rates that were 3–11% lower than KE rates and generated more profit with minimal yield loss.

Causal flow analyses combined with time series analyses are used to examine price relationships among fresh broiler retail markets (Northeast, South, Midwest, and West). Results indicate structural changes have occurred in this industry. Reasons for changes in price relationships include the perishable nature of fresh broilers, along with vertical integration and increases in production and concentration in the industry. The four markets are integrated, but the level of integration has decreased over time. With the markets becoming more exogenous, there may be a decrease in society’s welfare. The South market is the most important market for price discovery.

We use a dynamic model of the U.S. apple industry separated into organic and conventional production to better measure the impacts of pest or disease outbreaks on producers and consumers, along with an equilibrium displacement model to simulate welfare effects from various shocks compared to a baseline. Our results show that the impacts of the outbreaks differ between organic and conventional production methods. Growers’ and consumers’ responses to shocks differ widely across the industry. Farmers and policy makers should use these findings to appropriately respond to different shocks and production methods.

Using a double-hurdle approach, we assess factors associated with the extent of participation in the rice market with data for small-scale farmers drawn from a nationally representative dataset. The results suggest that larger endowments and assets, animal farming and commercialization, and alternative off-farm income make farmers less likely to participate. Conversely, having access to credit, larger farm sizes, and being part of a farmers’ association all increase the likelihood of participation. Farms with better technological resources are also those with higher sales volumes. Further understanding market participation dynamics should prove useful for deriving evidence-based policy recommendations to strengthen this Bolivian sector.

Applying the difference-in-difference (DID) estimation procedure, this study quantifies the wheat blast (Magnaporthe oryzae pathotype Triticum) induced losses in wheat yield, quantity of wheat sold, consumed, or stored, as well as wheat grain value in Bangladesh in 2016 following a disease outbreak that affected over 15,000 ha. Estimates show that the blast-induced yield loss was 540 kg ha−1 on average for households in blast-affected districts. Estimated total wheat production loss was approximately 8,205 tons worth USD 2.1 million in during the 2016 outbreak. Based on these insights, we discuss the need for long-term assured investment and concerted research efforts in controlling transboundary diseases such as wheat blast, including the importance of weather forecast driven early warning systems and the dissemination of blast-resistant varieties.

The objective of this study is to identify attributes that influenced consumers’ preferences when selecting locally grown food across different sources during and after the COVID-19 pandemic. We estimated the willingness to pay (WTP) for locally grown food sources. Results showed that respondents valued Freshness, Accessibility, Variety, and Risk Shift attributes, respectively. In addition, community-supported agriculture (CSAs) have the lowest WTP among other sources, and respondents valued CSAs’ general weaknesses more than their advantages when choosing where to purchase locally grown food. However, we found that increasing community outreach levels positively affects choice probabilities for CSAs over other sources.

This study uses a marginal treatment effects approach and farm household rice survey data from Northern Ghana to examine the heterogeneous effects of agricultural technologies on household welfare. Results indicate significant heterogeneity in the gains from the adoption of improved rice technologies among farmers. We found significant evidence of a pattern of positive selection on unobserved gains from the adoption of agricultural technologies on rice yield and household dietary diversity scores (HDDS). Moreover, the policy-relevant treatment effects suggest that reducing the distance to sources of agricultural technologies increases rice yield and HDDS through technology adoption.

This paper examines the potential effects of agricultural investment on economic outcomes in Guinea-Bissau (2014–2030). Through a dynamic computable general equilibrium (CGE) model, we found that improved agricultural performance will positively impact economic growth, sector output, and job opportunities for rural and urban workers. The decline in food prices will propagate indirect impacts on urban household welfare, while rural households will benefit from direct and indirect effects through the decline in the consumer price index. Poverty alleviation suggests agriculture’s crucial role in supporting ongoing industrialization and food security in Africa with attenuated income inequality.

Past research has only studied genetic panel scores and feedlot performance. This research combines impacts of genetic panel scores on a cow-calf operation with previously estimated feedlot impacts to evaluate the potential for misaligned economic incentives in the beef industry. Calves that were higher genetic scores for two carcass traits, marbling and tenderness, had lower weaning weights and lower net returns. Correlations between genetic traits and cow size were small and mostly insignificant. The sum of the effects on feedlot and cow-calf sectors of a one-unit higher panel score totaled $-2.83 per cow year for marbling and $-4.93 per cow year for tenderness.

We determine optimal stocker strategies based on calving season, herd size, and the number of days of retention before marketing weaned calves. We estimate a hedonic pricing model for feeder cattle and incorporate this into a simulation model that considers the variability of cattle prices and feed costs. The profit and utility-maximizing decision for fall calving herd would be to retain weaned calves for 150-day postweaning. The producer marketing spring-born calves would prefer to sell these calves at weaning. The results are being utilized by extension to aid cattle producers in reducing their feed costs and increasing their profits.

U.S. soybean farmers are currently grappling with dicamba herbicide drift. Using a network diffusion framework that accommodates key features of soybean farmer networks, we estimate the damages incurred from dicamba drift across different regions. Under our baseline assumptions, we estimate an average yield loss of 3% and predict sizable levels of forced switching to dicamba-resistant seed in response to drift. The relative importance of drift on damage and seed choice holds across a range of economic and network assumptions. In the absence of policy, this damage may cause regional adoption rates of dicamba-resistant soybean seed to increase.

Precision irrigation is a potential viable strategy for water use reductions on golf courses by making variable or site-specific irrigation applications. A group of US golf course superintendents were surveyed to examine whether and how superintendents’ risk preferences (attitudes) affect the adoption decisions of precision irrigation technologies on their golf courses. Under the prospect theory (PT) framework, a lottery experiment was used to elicit the measures of three risk attitudes, that is, risk curvature, probability distortion, and loss aversion. Using these three measures and other questions in the survey, we found that risk curvature has a significant positive effect on the precision irrigation technologies adoption on golf courses, while probability distortion affects the adoption negatively. Compared to the golf course in low precipitation areas, superintendents’ risk attitudes are more likely to affect the precision irrigation technologies adoption in the golf course in high precipitation areas. Additionally, risk curvature dominates the adoption decisions for newer technologies, while probability distortion dominates the older technologies adoption decisions. Our research enriches the literature on the decision-making behaviors of managers by considering how probability distortion, a factor typically ignored by other studies, affects technology adoption decisions and adds to the literature on examining the technology adoption behaviors under PT by focusing on golf course superintendents, a group that has not been studied.

Previous research links organic purchasing motivations to personal and family health. We conduct a national survey to explore whether this preference intensifies when preparing family meals, especially during Thanksgiving. We find that approximately 83% of consumers change their consumption habits for Thanksgiving, with a notable preference for organic products. Results from the choice experiment indicate willingness to pay premiums for Thanksgiving-themed items, especially those with USDA-certified organic or certified naturally grown labels. These findings underscore policy initiatives that strengthen consumer understanding of organic certifications and support producers in securing them, capitalizing on the seasonal demand surge.

Adopting eco-friendly technologies, such as converting lawns to alternative low-input grass species, can reduce household expenditures and mitigate negative environmental impacts at the same time. However, the rate of adoption of these technologies has not been as high as expected. This study develops a behavioral framework to identify barriers to new technology adoption by incorporating both prospect theory and present bias. We apply the framework in a choice experiment to investigate the relative importance of several factors that shape decisions associated with adoption of low-input turfgrass. We find that loss aversion plays a significant role. Though consumers exhibit present bias, long-term benefits still matter to them. Insights from the behavior model suggest that marketing and government programs that promote cost–benefit-efficient technologies should focus on eliminating or reducing potential losses caused by product failure.