This paper presents a pedagogical exercise to explore the economics of price-based fisheries bycatch. In the exercise students experience the economic incentives that lead to bycatch due to highgrading; the discarding of low-value fish. We first discuss existing fisheries economics pedagogical activities and how our exercise is distinct. We then identify over forty economics, environmental studies, geography, management, and philosophy courses where the exercise could be played. Next, we describe the game and share results and student feedback. Finally, we provide discussion prompts and extensions to illustrate how incentives and policies can change fishing behavior to lead to sustainable fisheries.

Bison is an important and iconic mammal in the U.S. that is being reintroduced in many places after being driven nearly to extinction. This paper provides a nationwide assessment of the local economic impacts of bison reintroduction so that rural communities can take economic well-being into account when considering decisions regarding future bison restorations. We estimate the causal impacts of bison herd establishment on county-level income, employment, and population growth using staggered difference-in-difference and the synthetic control approaches. The simple positive correlation between local per capita income and bison herds might lead planners to think that bison reintroduction is good for the local economy. However, none of the causal inference analyses find statistically significant effects of bison reintroduction.

U.S. per capita seafood consumption is historically high due to population and income growth and consumer preference shifts toward healthy protein options. Despite this expansion, U.S. fisheries, especially those in the Great Lakes region, no longer fulfill domestic demand due to pressure on fish stocks and regulatory constraints. Instead, aquaculture and imports fill the gap. Rainbow trout, yellow perch, and walleye—three species historically produced in the North Central Region (NCR)—exemplify such trends. To expand marketing opportunities for NCR aquaculture producers, this study estimates willingness to pay (WTP) for these species and several search and credence fish attributes. We designed and distributed a survey instrument to collect hypothetical choice experiment responses from U.S. seafood consumers. Using a random utility framework, we estimate mean total WTP for trout, yellow perch, and walleye of $19.99/lb., $15.89/lb., and $17.37/lb., respectively. Further, we identify average price premia of $1.64/lb., $1.97/lb., and $0.84/lb. for NCR-sourced, wild-caught, and fresh fillet attributes. Our analysis also captures regional preferences. Mean WTP estimates for yellow perch and walleye, which are native to the Great Lakes, are significantly higher inside the NCR. Further, trout commands a higher premium outside the NCR than within, suggesting potential market segmentation for the analyzed species.

Given that nearly half of the Indian labor force is employed in agriculture, extreme weather events may harm most of the country’s population. By exploiting annual variation within Indian districts, I test whether greater temperature fluctuations significantly decrease the output value of 13 major crops. I find that a 1°C deviation above the annual mean temperature leads to a 21.3 percentage point decline in output value for a given year, indicating substantial losses from large fluctuations in temperature. I also find evidence that proportion of crop area irrigated and fertilizer usage mitigates the negative impacts of temperature shocks.

Diet is important in determining positive health outcomes. Income constraints are often provided as an explanation for poor dietary choices made by households. We test this hypothesis by exploiting shocks to household budgets driven by changes in house prices. Using a comprehensive panel of household food purchases matched to house price data, we find that house prices have a positive impact on food expenditure, but no impact on diet quality. We also find that the total quantity of food purchased increases as budget constraints are relaxed suggesting that changes in quantity are the primary driver of the expenditure change. Finally, we demonstrate that the impact of budget constraints is larger for lower income and younger age households.

This study analyzes consumers’ preferences for nutrition and convenience attributes in ready-to-heat meals, using grocery scanner data applied to a Berry, Levinsohn, and Pakes model. Households’ preferences for convenience meals stem on saving time. Also, households prefer convenience meals with higher contents of sugar, fat, sodium, cholesterol, and fiber, and lower in calorie content. Results prove that consumption of convenience foods implies a high intake of ingredients with negative consequences on dietary quality and health. Findings showcase the importance of the advancement and adoption of alternative food processing technologies that would circumvent the production of convenient foods high in non-healthy ingredients.

Federal administrative data present a valuable opportunity for food and agricultural industry locational outcome research. We review issues with aggregated U.S. public data and summarize current methods. An example empirical approach combines federal administrative and secondary data. We compare results with differing levels of industrial aggregation. Results indicate locational determinants vary in magnitude, sign, and significance across industries and their sub-industries, as well as between employers and non-employers – nuances commonly missed with public data. We conclude by emphasizing that studies relying on public (more-aggregated) data may miss locational outcome relationships or inappropriately generalize to sub-industries and suggest data access changes.

Over the past three decades, the cereal subsector in Ghana has contributed immensely to food security in the country. However, limited evidence exists on the production performance of this subsector, particularly in terms of heterogeneities across agro-ecological zones. This paper analyzes the production technology and performance of the cereal subsector in Ghana using a nationally representative data set from 26,449 cereal farms and the meta-stochastic frontier approach. The empirical results suggest that the estimated factor inputs contribute substantially to cereal output, with land and seed exerting the highest impacts across all agro-ecological zones. The evidence further shows that the agro-ecology of cereal farms plays a crucial role in the performance of the subsector. The mean technical efficiency estimates strongly suggest that cereal farms in all agro-ecologies exhibit some degrees of production inefficiency. The findings further reveal total output from the meta-frontier to be much superior to those generated by cereal farms in all agro-ecologies of Ghana, indicating the existence of opportunities for cereal output gains in all agro-ecologies. We find heterogeneities in farm management practices and production technology across the various crops and agro-ecological zones to be relevant sources for cereal productivity growth in Ghana.

Cattle feed yards routinely track and collect data for individual calves throughout the feeding period. Using such operational data from nine U.S. feed yards for the years 2016–2019, we evaluated the scalability and economic viability of using machine learning classifier predicted mortality as a culling decision aid. The expected change in net return per head when using the classifier predictions as a culling aid as compared to the status quo culling protocol for calves having been pulled at least once for bovine respiratory disease was simulated. This simulated change in net return ranged from −$1.61 to $19.46/head. Average change in net return and standard deviation for the nine feed yards in this study was $6.31/head and $7.75/head, respectively.