By involving stakeholders to identify issues, co-design facilitates the creation of solutions aligned with the community’s unique needs and values. However, genuine co-design with consumers across all stages of nutrition intervention research remains uncommon. The aim of this review was to examine notable examples of interventions to improve diets in rural settings that have been co-designed by rural communities. Six studies were identified reporting on community-based and digital interventions to improve diets in rural settings that have been co-designed by rural communities. The level of co-design used varied, with two interventions describing co-design workshops and focus groups over a period of between 6 and 11 months, and others not reporting details on the co-design process. Collectively, most interventions demonstrated positive impacts on dietary markers, including an increase in purchase of fruit and vegetable, an increase in percentage energy from nutrient dense foods and a decrease in intake of high fat meats. While these interventions show promise for improving diets in these under-served communities, it is widely recognised that there is a lack of dietary interventions genuinely co-designed with and for rural communities. Future research should build on these studies to co-design dietary interventions that integrate the benefits of both community-based and digital interventions.

This paper examines the economic impact of wine counterfeiting, with a focus on the Sassicaia scandal, publicized in 2020, regarding counterfeit 2015 vintage bottles of the iconic Super Tuscan wine. Wine fraud, documented since ancient Rome, has evolved alongside the industry, with key developments such as the Appellation d'Origine Contrôlée system aiming to curb it. The paper briefly reviews three other significant modern cases of wine counterfeiting: the Hardy Rodenstock “Jefferson bottles” affair, the Brunello di Montalcino scandal, and Rudy Kurniawan’s counterfeit operation. It then shifts to a detailed analysis of the case of Sassicaia. We combine informal analysis using data plots and a formal difference-in-differences analysis to assess the market impact of the 2015 Sassicaia scandal. We find that, surprisingly, the scandal led to an increase in the price of authentic 2015 Sassicaia, perhaps driven by perceived rarity and media attention.

Attacks on minoritized communities and increasing awareness of the societal causes of health disparities have combined to highlight deep systemic inequities. In response, academic health centers have prioritized justice, equity, diversity, and inclusion (JEDI) in their strategic goals. To have a sustained impact, JEDI efforts cannot be siloed; rather, they must be woven into the fabric of our work and systematically assessed to promote meaningful outcomes and accountability. To this end, the University of Pittsburgh’s Institute for Clinical Research Education assembled a task force to create and apply a rubric to identify short and long-term JEDI goals, assess the current state of JEDI at our Institute, and make recommendations for immediate action. To ensure deep buy-in, we gathered input from diverse members of our academic community, who served on targeted subcommittees. We then applied a three-step process to ensure rapid forward progress. We emerged with concrete actions for priority focus and a plan for ongoing assessment of JEDI institutionalization. We believe our process and rubric offer a scalable and adaptable model for other institutions and departments to follow as we work together across academic medical institutions to put our justice, equity, diversity, and inclusion goals into meaningful action.

Infection prevention strategies and vaccination reduce risk of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) transmission to healthcare workers (HCWs). We describe coronavirus disease 2019 (COVID-19) incidence and vaccination rates in a cohort of HCWs at the University of Vermont Medical Center. Before vaccines, the HCW COVID-19 incidence paralleled that of the State of Vermont; after vaccination, incidence fell and remained low.

Has the golden age of U.S. agricultural productivity growth ended? We analyze the detailed patterns of productivity growth spanning a century of profound changes in American agriculture. We document a substantial slowing of U.S. farm productivity growth, following a late mid-century surge—20 years after the surge and slowdown in U.S. industrial productivity growth. We posit and empirically probe three related explanations for this farm productivity surge-slowdown: the time path of agricultural R&D-driven knowledge stocks; a big wave of technological progress associated with great clusters of inventions; and dynamic aspects of the structural transformation of agriculture, largely completed by 1980.

The yeast, Brettanomyces bruxellensis (Brett) is a significant cause of quality defects associated with red wine spoilage. At least some wine producers spend significant resources to prevent, detect, and mitigate damage from Brett, and many express concern about it, but some producers and consumers say they like it in small doses. Brett damage is especially of concern in premium red wine and has become more of a concern to producers in recent years as consumers have become better informed about it. We combine information from diverse sources to develop an initial understanding of the economics of Brettanomyces and management practices to mitigate its consequences. An analysis of detailed confidential data from three wineries in California reveals that at least some wineries are incurring significant costs to reduce the risk of infection with Brettanomyces. Some other wineries that opt not to spend so much on prevention are incurring higher costs in treating infected wines and in lost value from wines being downgraded to lower-valued blends. Results from an online survey of industry participants reinforce the analysis of the detailed data from the three wineries and suggest that the findings may be indicative of conditions more generally across the industry. (JEL Classifications: D22, D24, L66)

Global consumption patterns for alcoholic beverages are evolving, with some convergence in per capita consumption among nations as traditionally beer-drinking nations increase their consumption of wine and, conversely, wine-consuming nations shift towards beer. This article explores regional patterns of alcoholic beverage consumption within the United States. One purpose is to see if similar patterns of spatial convergence in consumption patterns can be observed within countries as have been documented in international comparisons. A more fundamental purpose is to explore the converse question and seek to better understand the persistent differences in alcoholic beverage consumption among groups. These issues are addressed using annual U.S. national and state-level data over four decades and, for the more recent period, supermarket scanner data at finer scales of geopolitical aggregation. Socioeconomic and other demographic variables appear to play significant roles in accounting for the spatial differences in consumption patterns, although the details vary across different models and data sets. The analysis of demand using less-aggregative data for a shorter time period reveals some shortcomings in the corresponding analysis based on state-level data over a longer time period, but with poorly measured prices. These findings might extrapolate to studies making international comparisons using national aggregate data. (JEL Classifications: D12, L66)

Global consumption patterns for alcoholic beverages are evolving, with some convergence in per capita consumption among nations, as traditionally beer-drinking nations increase their consumption of wine and, conversely, wine-consuming nations shift towards beer. In a forthcoming article (Hart and Alston, 2019), we explore regional patterns of alcoholic beverage consumption within the United States. One purpose is to see if similar patterns of spatial convergence in consumption patterns can be observed within countries as have been documented in international comparisons. A more fundamental purpose is to explore the converse question and seek to better understand the persistent differences in alcoholic beverage consumption among groups. These issues are addressed using annual U.S. national and state-level data over four decades and, for the more recent period, supermarket scanner data at finer scales of geopolitical aggregation. This proceedings article focuses on the analysis using supermarket scanner data. We find that socioeconomic and demographic variables appear to play significant roles in accounting for the spatial differences in consumption patterns. (JEL Classifications: D12, L66)

The dairy industry is of much interest worldwide because it has been subject to heavy government intervention. Central to the analysis of any dairy policy is a quantitative empirical understanding of the economic relationships in the industry. This paper models and measures the input demand relationships—especially, derived demand for farm milk as a processing input—and the rate and biases of technical change in the U.S. dairy manufacturing industry. Our estimates indicate that the Marshallian own-price elasticity of demand for farm milk is between −0.43 and −1.20. Estimates also indicate that technical change has been capital using and labor saving.

Treerow vegetation abundance and biodiversity were measured in response to six orchard floor management strategies in organic peach in northern Utah for three growing seasons. A total of 32 weed species were observed in the treerow; the most common were field bindweed, dandelion, perennial grasses (e.g., red fescue and ryegrass), clovers, and prickly lettuce. Weed biomass was two to five times greater in unmanaged (living mulch) than in manipulated treatments. Tillage greatly reduced weeds for approximately one month; however, vegetation rebounded midseason. Tillage selected for species adapted to disturbance, such as common purslane and field bindweed. Straw mulch provided equivalent weed suppression to tillage in the early season. Straw required annual reapplication with material costs, labor, and weed-seed contamination (e.g., volunteer grains and quackgrass) as disadvantages. Plastic fabric mulch reduced weeds the most, but had high initial costs and required seasonal maintenance. Weed biomass declined within seasons and across the three years of the study, likely due to tree canopy shading. Neither birdsfoot trefoil nor a perennial grass mixture planted in the alleyways influenced treerow weeds. Our results demonstrate several viable alternatives to tillage for weed management in treerows of organic peach orchards in the Intermountain West.

The California Grape Crush Report (Crush Report) is an authoritative source of information on production and returns per ton by variety of wine grapes that includes summaries of quantities produced and estimates of the average prices and value of wine grapes crushed in California. The data provided in the Crush Report are used to calculate the total value of wine grape production as reported in the annual Agricultural Statistics reports published by the U.S. Department of Agriculture and in major industry publications. We use the differences among crush districts in the shares of production crushed to growers’ accounts to show that the current mechanism of calculating average statewide returns per ton understates the true total value of the crush by 14 to 20 percent. We show that a more accurate estimate of the total value and average price can be obtained if the prices of the wine grapes that are sold are used to infer the prices of wine grapes that are not sold before computing the weighted averages. (JEL Classifications: Q20, Q11, Q13, Q19)

Weed-detecting reflectance sensors were modified to allow selective interrogation of the near infrared–red ratio to estimate differences in plant biomass. Sampling was programmed to correspond to the forward movement of the field of view of the sensors. There was a linear relationship (r 2 > 0.80) between actual biomass and crop canopy analyzer (CCA) values up to 2,000 kg/ha for winter wheat sequentially thinned to create different amounts of biomass and up to 1,000 kg/ha for spring wheat sampled at different stages of development. At higher amounts of biomass the sensors underestimated the actual biomass. A linear relationship (r 2 = 0.73) was obtained with the CCA for the biomass of 76 chickpea cultivars at 500 growing degree days (GDD500). The reflectance sensors were used to determine differences in the herbicide response of soybean cultivars sprayed with increasing rates of herbicides. The CCA data resulted in better dose–response relationships than did biomass data for bromoxynil at 0.8 kg ai/ha and glyphosate at 1.35 kg ai/ha. There was no phytotoxicity to soybean with imazethapyr at 1.44 kg ai/ha. The method offers a quick and nondestructive means to measure differences in early-season crop growth. It also has potential in selecting crop cultivars with greater seedling vigor, as an indicator of crop nutrient status, in plant disease assessment, in determining crop cultivar responses to increasing herbicide dose rates, in weed mapping, and in studying temporal changes in crop or weed biomass.

In an ever-more-competitive global market, vignerons compete for the attention of consumers by trying to differentiate their product while also responding to technological advances, climate changes and evolving demand patterns. In doing so, they highlight their regional and varietal distinctiveness. This paper examines the extent to which the winegrape varietal mix varies within and among states of the United States and relative to the rest of the world, and how that picture has been evolving. It reports varietal intensity indexes for different regions, indexes of similarity of varietal mix between regions and over time, and price-based quality indexes across regions and varieties within and among the three west-coast States. Broadly speaking, the mix of winegrape varieties in the United States is not very different from that in the rest of the world and, since 2000, it has become even less differentiated and closer to that of France and the world as a whole. But individual U.S. regions vary considerably in the mix of varieties in which they specialize and in the quality of grapes they produce of a given variety; and region-by-variety interactions have complex influences on the pattern of quality and production. We use measures of regional varietal comparative advantage and a Nerlovian partial adjustment model to account for some of the shifting varietal patterns in the U.S. vineyard and in winegrape production. (JEL Classification: D24, L66, Q13)

Are wine alcohol labels accurate? If not, why? We explore the high and rising alcohol content of wine and examine incentives for false labeling, including the roles of climate, evolving consumer preferences, and expert ratings. We draw on international time-series data from a large number of countries that experienced different patterns of climate change and influences of policy and demand shifts. We find systematic patterns that suggest that rising wine alcohol content may be a nuisance by-product of producer responses to perceived market preferences for wines having more-intense flavours, possibly in conjunction with evolving climate. (JEL Classifications: D22, L15, L66, Q18, Q54).

The Common Agricultural Policy increases European poultry production costs, prohibits imports, increases domestic prices, and subsidizes exports. This policy has displaced some U.S. exports. However, the net impact in the U.S. has been quite modest, even assuming poultry is homogeneous, independent of source country. Costs to U.S. producers are almost entirely offset by gains to U.S. consumers. Effects in the U.S. are even smaller when imperfect substitutability between poultry from different countries is accounted for. A retaliatory U.S. export subsidy would have more dramatic effects in U.S. markets.

The sugar content of California wine grapes has increased significantly over the past 10–20 years, and this implies a corresponding increase in the alcohol content of wine made with those grapes. In this paper we develop a simple model of winegrape production and quality, including sugar content and other characteristics as choice variables along with yield. Using this model we derive hypotheses about alternative theoretical explanations for the phenomenon of rising sugar content of grapes, including effects of changes in climate and producer responses to changes in consumer demand. We analyze detailed data on changes in the sugar content of California wine grapes at crush to obtain insight into the relative importance of the different influences. We buttress this analysis of sugar content of wine grapes with data on the alcohol content of wine. (JEL Classification: Q54, Q19, D12, D22)

Wine grapes contribute significantly to the economy of California, with a gross production value of more than $2 billion in 2010. Studies on economic issues in the industry require measures of demand response to price, but despite the economic importance of this industry, estimates of elasticities of demand for wine grapes have not been published. We use a flexible-form inverse demand system model to estimate elasticities of demand for wine grapes from three grape-growing regions in California, representing three different quality (price) categories. The resulting estimates of own-price elasticities are high, ranging from −2.6 for grapes in the low-price region to −9.5 for grapes in the high-price region. Such high elasticities are plausible given the role of international trade in wine, and they are consistent with synthetic estimates that we computed based on a combination of economic theory, data on market shares, estimates of some pertinent parameters in the literature, and informed guesstimates of values for other parameters. (JEL Classification: Q11, Q12, Q13)