Using an administrative nationwide dataset of 1,673 tea producers, this study examines the key factors that drive tea pricing. Empirical results indicate that price levels vary across production regions, tea varieties, altitude, and certification status. On average, black tea commands higher prices, while other teas (green, Oolong, and Baozhong) are typically lower. However, as a special local tea, Oriental Beauty (and other teas) has the highest price. The cultivation altitude and organic certification are significantly associated with price premiums. In summary, this study provides strong evidence to show that regional origin, growing conditions, and certification may greatly influence tea’s market price, offering practical insights for producers and policymakers.

In two studies with 1,275 participants, we examine how values are associated with wine cues and how these associations shape selection across private and professional contexts. Building on signaling theory and identity economics, we propose a utility framework in which choice utility is a context-dependent function of alignment with the private self (personal values), the professional self (role values), and anticipated reputational returns to identity signaling. Signal interpretability depends on a shared code in which observable cues carry similar meanings for senders and receivers. Drawing on Schwartz's value theory, we find evidence that participants systematically attribute distinct values to three observable cues—bottle appearance, short narratives, and tasting notes. Our findings show that in private settings, individuals favor wines linked to self-transcendence and openness to change, whereas in professional settings they prefer wines associated with self-enhancement and conservation. These cross-context patterns suggest that observing wine choice provides a novel tool for researchers to indirectly assess both personal and work-related values. In this respect, our approach relates to revealed preference theory, which infers individual preferences from observed choices.

This paper analyzes the impact of product-market fit on firms’ export performance, focusing specifically on the case of wineries. To this end, we use a representative sample of Spanish wineries and data on 49 export markets. The empirical analysis is based on a firm heterogeneity model that integrates both macroeconomic and firm-level factors influencing wine export performance. Our findings indicate that a good product–market match facilitates export activity and can mitigate traditional barriers to international trade, such as geographic or political distance. When a winery conducts effective market research and identify markets where consumer preferences align closely with the characteristics of its products, its export performance improves significantly.

This study uses a basket-based choice experiment with 2,010 U.S. adults to analyze alcohol and cannabis preferences in social settings following cannabis legalization. Through descriptive statistics and multivariate logistic modeling, we highlight the heterogeneous preferences consumers have for alcohol and cannabis products. Specifically, we demonstrate that a substantial portion of the survey respondents prefer to consume these substances together in social settings, while others view them as independent markets. Regression analysis then reveals that males and younger consumers are most likely to bundle these substances, while personality traits also correlate with expected simultaneous substance use. These results offer valuable insights to improve public health policy and messaging on the potential short- and long-term risks associated with cosubstance use.

This study explores the relationship between tourism demand, both domestic and international, wine price, and wine consumption across European countries. Recognizing the cultural and economic significance of wine, particularly within Europe, this research examines how tourism spending influences wine consumption over time. Using panel data from 19 European countries between 2005 and 2021, the study finds that foreign tourism spending displays a nonlinear effect on wine consumption, initially decreasing but increasing at higher levels. Specifically, foreign spending initially reduces wine consumption but increases once spending crosses a critical threshold. Additionally, wine price shows a significant impact on consumption. These insights provide valuable implications for wine tourism stakeholders seeking to leverage tourism demand to support the wine sector and local economies.

This paper examines the economic returns to regional designations present in agricultural markets. Geographical indications (GIs) define region-based collections of producers sharing terroir. Exploiting this geography-quality nexus, firms employ GIs to signal product quality to consumers. We examine how increasing the number of regional designations in a fixed geographical area affects prices. The model incorporates a familiarity term, which decreases in the number of regions and directly affects consumers’ abilities to use information about firm- and region-specific product quality. As the number of GIs increases, the relationship with prices increases to a point and then falls. The results suggest a crowding out of the benefits of regional specificity with significant impacts on aggregate returns. We test these hypotheses with data on Washington wines and American Viticultural Areas (AVAs). Our findings suggest policies restricting the proliferation of GIs may increase firm-level revenues.

Wine is the most differentiated of all farm products, with much of the differentiation based on the location of production. In this paper, we estimate the effects of climate and vintage weather on California's varietal wine quality and prices. Our analysis is based on a sample of premium wines rated by Wine Spectator magazine between 1994 and 2022 and a comparable sample of secondary market auction prices from K&L Wine Merchants, each matched to spatially detailed weather data from PRISM. We find that extreme temperatures, particularly extremely hot temperatures, caused prices to decline. Absent additional adaptation, climate change will harm wine quality and disrupt quality signals from geographical indications in California's premier wine regions.

The study examines the influence of markups on the export decisions and subsequent export intensity of firms within the Hungarian wine sector. Additionally, we evaluate the impact of entering and sustaining a presence in export markets on firms’ markups and compare the markup levels between exporting and non-exporting firms. We find that markups have a positive impact on both the probability of exporting and the export intensity, which aligns with previous findings. We demonstrate that exporting leads to an increase in markups. We find that exporters maintain higher markups even when accounting for productivity differences. Additionally, exporting can lead to higher markups because of the learning-by-exporting phenomenon. The results have significant implications. The findings imply that markups have a significant impact on the decision-making process and performance of Hungarian wine exports. Policymakers should facilitate to increase the markups of firms in order to enhance the export of wine and promote economic growth. Wine exporting firms should enhance their productivity and implement strategic pricing strategies to increase their markups and expand their exports.

Using longitudinal data on teams and quality competition results, this study examines the impact of team and task familiarity on brewing excellence in the Japanese sake industry from 1956 to 2018. Sake production involves teamwork at every stage, but while some teams work together long term, others experience high turnover. The study highlights two factors: team familiarity, the collective experience of working together, and task familiarity, the individual experience of the task. High familiarity can strengthen team bonds and improve teamwork, but it can also limit the inflow of new knowledge and thus hinder innovation. This study uses data from national quality competitions and brewer lists, and considers the Great East Japan Earthquake of 2011 as an external shock to address endogeneity and estimate the causal relationship between familiarity and competition outcomes. The empirical results show that increases in both team and task familiarity are negatively associated with quality superiority.

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.

In this article, we examine how weather variables affect markets for U.S. high-end wines, both luxury wines and wines from the same region that are still high-end but not in the very limited highest category. Specifically, we compare so-called “cult wines” with “non-cult wines” from the same subregions that are known for their high-quality wines. We investigate associations between weather conditions and prices, price gaps (the difference between the secondary market price and release price), the number of cases produced, and wine scores assigned for both cult and non-cult wines. We further examine whether associations with weather differ across wine regions. Implementing a fixed-effects methodology, cult and non-cult wines from three U.S. regions were studied: both Napa and Sonoma in California, and Walla Walla on the border of Washington State and Oregon. Overall, the analysis suggests that weather is associated with various characteristics of wine markets, including prices, price gaps for cult wines, wine scores, and cases produced. The nature of the associations depends on the type of wine (cult or non-cult, red or white) and timing of weather conditions throughout the year and growing region.

This paper investigates the market position of hard cider within the broader alcoholic beverage market. The first experiment identifies two distinct consumer segments—around 40% prioritize flavor attributes, while 53% prefer production information. The second experiment utilizes a basket- and expenditure-based choice experiment and a multiple discrete choice extreme value model to assess hard cider's standing among commonly consumed alcoholic beverages. Results reveal that hard cider is perceived as a complement to red and white wine but is independent from beer. The study suggests marketing hard cider in conjunction with white wine to capitalize on observed complementarity. Emphasizing the importance of addressing both consumer segments—those valuing flavor notes and those prioritizing production information—the research offers valuable insights for optimizing hard cider market strategies.

We shed light on assessing product quality in blind tastings and their potential (gender) biases. We study how phonetic traits of grape varieties suggest product attributes in the context of professional reviews. This study aims to close this research gap and analyze how product variety and phonetic name traits affect expert ratings. We obtained data on 18,609 wines and their ratings from Wine Enthusiast Magazine between 1997 and 2016, yielding a sample of 31,058 observations. We suppose that the gender of the taster needs to be considered to understand what affects tastings and ratings, as women and men might be attracted differently to masculine or feminine names. This study shows that masculine names receive higher evaluations than feminine ones. This phonetic gender gap is driven by lower ratings for white wines by female reviewers and lower ratings for red wines by male reviewers. In addition, white wines are rated lower overall by both men and women.

The development and expansion of wineries in Appalachian states in the United States over the past 20 years has received attention, while the study of non-wine product consumption in wineries has been very limited. Wineries increasingly include these non-wine products as complementary products in their marketing portfolio. This study analyzes the determinants of wine and non-wine spending among winery visitors in selected Northern Appalachian states, including Pennsylvania, Ohio, Kentucky, and Tennessee. We develop a market segmentation model and a random utility theory with an interval regression model. Results from 1,609 participants show that wine knowledge has a positive effect on local wine spending, and spending on non-wine products should not be underestimated for its overall contribution to the winery business. Our results suggest that wineries have the potential to boost store sales associated with non-wine products. Diversifying the product lines in wineries to include more non-wine products would be a useful marketing strategy.

This paper investigates the growth and clustering of craft breweries in New Jersey. We compiled a historical dataset from 1995 to 2020 that allows us to measure the degree of geographic clustering among craft breweries in New Jersey. The number of craft breweries in New Jersey grew 491% from 2012 to 2020 (from 22 to 130 craft breweries). An impetus for this growth was that New Jersey enacted legislation in 2012 that made opening and operating a craft brewery in the state more economically viable. Our analysis finds that craft breweries in New Jersey are clustering in specific parts of the state and that this is likely due to co-location benefits such as building a culture of craft beer that drives innovation, knowledge sharing, customer sharing, and a thicker labor market. While distinct craft beer clusters have formed in New Jersey, we find there is still significant opportunity for growth. Our analysis confirms this using data on planned craft brewery openings to measure changes in the size and density of clusters and where, in New Jersey, new clusters are likely to form.

Hard cider is a sector of a maturing craft beverage industry that continues to experience growth in the United States. Cider is also experiencing challenges, however, such as competition from other alcohol markets, changing consumer preferences, the supply chain, and inflationary pressures. National policy changes may help promote more optimal outcomes for this sector, but public support is important to policy formation. This study uses survey data from a best-worst scaling experiment of consumers in four leading cider-producing states (Michigan, Washington, Wisconsin, and Vermont) to understand preferences toward ten broad cider policy initiatives. The results of multinomial logistic modeling reveal that consumers prefer policies mandating ingredients, nutrition facts, and allergen labeling across all ciders. The least preferred policy initiatives include allowing producers to use vintage on labeling and funding regional cider development. These results have important implications for stakeholders across the industry, including the benefits of labeling disclosures in marketing and the need to improve public awareness of barriers to cider industry development.

Although potentially useful for financially hedging systemic weather-related risks, weather contracts/derivatives (also referred to as parametric insurance) have not seen wide adoption in agriculture outside of applications in developing countries, frequently supported by governments and non-governmental organizations (NGOs). A significant impediment is the lack of financial firms willing to stand ready to sell weather derivatives to individual agricultural producers in the over-the-counter market who, due to the localized nature of weather, face idiosyncratic weather-related risks. In particular, the administrative and reinsurance costs of supplying relatively small contracts with specific terms to many different producers are often prohibitive. The current study considers the potential use of weather derivatives in hedging the aggregate yield/revenues of viticulture producers represented by an industry association located in the province of Ontario, Canada. We examine the sensitivity of aggregate industry yields to several relevant weather-related risks employing copula function analysis. We then consider the potential of a weather derivative in hedging the financial risk associated with cold winter temperatures, which pose the greatest risk to aggregate vinifera yields. The issue of attributing costs and payouts to individual association members remains unresolved, and several alternatives are suggested.

The impact of product ratings is significant in the experience goods market, whose intangible products are difficult to evaluate before consumption. Product ratings can reduce information asymmetries because they represent a credible signal of quality and thus positively affect product sales. In this study, we shed light on how professional critics behave by focusing on the influence of product characteristics and former reviews on rating behavior and market prices as additional quality signals in wine markets. Using 13,911 observations from professional wine tastings, we analyze 8,444 worldwide-produced wines and their ratings over 20 years. We find clear evidence to suggest that prices and product ratings are significantly related. Finally, the results suggest that review consistency evolves and determines current ratings.

This paper uses data from the 2021 Swiss edition of the Gault&Millau food guide to analyze the probability with which restaurant owners decide to share their wine list with the public. This is an important question relating to the amount of information circulating in markets characterized by information asymmetry in the context of experience and credence goods. We find that restaurant owners are more willing to share wine lists with others if competition is limited or their wine list does not contain idiosyncratic information that competitors may use strategically. Interviews indicate the challenge for restaurants to balance the risk of sharing information with competitors and the opportunity to attract wine lovers by revealing an appealing wine list. We also show that this decision depends on cultural considerations.

We propose to establish wine rankings using scores that depend on the differences between favorable and unfavorable opinions about each wine, according to the Borda rule. Unlike alternative approaches and specifications, this method is well-defined even if the panelists’ quality relations are not required to exhibit demanding properties such as transitivity or acyclicity. As an illustration, we apply the method to rank wines assessed by different experts and compare the resulting ranking with that obtained according to Condorcet's method of majority voting.