This study provides a perspective on the market performance of divestitures in the global brewing industry. In 2018, the five largest players accounted for 60% of the global beer volume. We analyze to what extent the capital market values divestitures in an industry where players usually seek efficiency gains and growth through mergers and acquisitions. Based on a sample of 61 divestiture intent announcements in the period from 1999–2018, this study shows that publicly listed brewing groups experience significant positive abnormal returns of about 1.4%. We measure the influential effect of success determinants concerning the underlying industry, the divested business, the divestiture structure, and the divestor itself. (JEL Classifications: G14, G34, L25, Q14)

Spirits represent around 50% of global alcohol consumption. This sector is much less studied than other alcoholic beverages such as wine or beer. This paper reviews the economic history of spirits and analyzes recent trends in the spirits markets. The technology to produce spirits is more complex than for wine or beer. Distillation was known in ancient Chinese, Indian, Greek, and Egyptian societies, but it took innovations by the Arabs to distill alcohol. Initially, this alcohol was used for medicinal purposes. Only in the Middle Ages did spirits become a widespread drink. The Industrial Revolution created a large consumer market and reduced the cost of spirits, contributing to excess consumption and alcoholism. Governments have intervened extensively in spirits markets to reduce excessive consumption and to raise taxes. There have been significant changes in spirits consumption and trade over time. Over the past 50 years, the share of spirits in global alcohol consumption increased from around 30% to around 50%. In the past decades, there was strong growth in emerging markets, including in China and India. Recent developments in the spirits industry include premiumization, the growth of craft spirits, and the introduction of terroir for spirits. (JEL Classifications: L51, L66, N40, Q11, Q18)

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)

Wineries in the “old world” export almost 40% of their production. This study analyzes the influence of vertical and horizontal networks on export performance. We draw on a sample of 183 Spanish wineries and examine the main independent variables using a two-step Heckman model. We find positive effects of horizontal networks and—at a somewhat lower level—downstream vertical networks on export performance. (JEL Classifications: L66, M16, Q13)

This article provides an empirical case study of the impacts of the COVID-19 pandemic on global beverage markets, particularly the wine sector. Both international trade and domestic sales have been adversely affected by temporary shifts away from on-premise sales by social distancing measures and self-isolation that led to the closure of restaurants, bars, and clubs, plus declines in international travel and tourism. Partly offsetting this has been a boost to off-premise and direct e-commerce sales. We first estimate those impacts in 2020 and their expected partial recovery in 2021 using a new model of global beverage markets. Further recent disruption to the global wine trade has been the imposition by China in late 2020 of prohibitive tariffs on its imports of bottled wine from Australia. Its diversionary and trade-reducing effects are compared with those due to COVID-19. (JEL Classifications: C63, D12, F14, F17, Q17)

As part of a classic article in this journal, Richard Quandt identified 123 wine descriptors that he deemed to be bullshit. In this paper, I examine whether wine consumers are willing to pay any more (or less) for wine if it is described by one of those “bullshit” descriptors. I use three methods to examine that. The first method involves applying a hedonic regression to a dataset of prices and expert descriptions for about 50,000 wines. The second method involves applying a matching estimator to the same dataset. The third method involves a stated-preference survey of about 500 wine consumers. The three methods suggest that for most of the descriptors Quandt deemed to be bullshit, most consumers’ marginal willingness to pay for a descriptor is zero or near-zero. Yet, for some of the descriptors, some consumers do seem to have a non-zero marginal willingness to pay, perhaps because the descriptors shape a consumer's subjective experience or because they signal objective aspects of wine. (JEL Classifications: D12, D83, L66)

Previous work has quantitatively analyzed expert wine descriptions to identify some so-called “expensive” and “cheap” words that are indicative of a wine's price. This paper revisits that work. In particular, I examine whether words previously identified as expensive and cheap ones are still indicative of a wine's price when using the same methods and a different, larger dataset. My findings mostly confirm previous conclusions, although many directions for further research into expensive and cheap wine words remain open. (JEL Classifications: D83, L66)

The Italian market of sparkling wines increases as volume and assortment (such as brands, appellations, typologies) mainly because of sparkling Prosecco consumption. We investigate the repeated purchase behavior of sparkling wines in two years within the supermarket channel through scanner data collected from a consumer panel. We propose a Hidden Markov Model to analyze these data, assuming an unobservable process to capture consumers’ preferences and allowing us to consider purchases sparsity over time. We consider multivariate responses defining types of purchases, namely price, appellation, and sugar content. Customers’ covariates influence the initial and transition probabilities of the latent process. We identify five market segments, and we track their evolution over time. One segment includes Prosecco-oriented consumers, and we show that loyalty to Prosecco changes strongly over time according to the region of residence, income, and family type. The findings improve the understanding of the market and may provide evidence to design successful marketing strategies. (JEL Classifications: C33, C51, D12, L66)

This article documents how the COVID-19 crisis has affected the drinking behavior of Latin European wine consumers. Using a large online survey conducted during the first lockdown in France, Italy, Portugal, and Spain (n = 7,324 individuals), we reconstruct the purchasing and consumption patterns of the respondents. The number of people who maintained their wine consumption frequency is significantly higher than those who increased or decreased their consumption. Wine consumption frequency held up better than other types of alcohol (beer and spirits). We analyze heterogeneities among countries and individuals by employing the Marascuilo procedure and an ordered logit model. The latter identifies the impact of demographic, commercial, and psychosocial factors on wine consumption frequency. The results shed light on changes in wine consumer behavior during the first lockdown and consider possible post-lockdown trends that could be useful to industry players. (JEL Classifications: D5, L66, Q1)

Leuven's Den Hoorn brewery, now AB Inbev SA, has become the world's largest brewing group by far, but critics say the company overpaid for its acquisitions. In this article, we study typical stock market reactions to the many takeover announcements by AB Inbev and the industry's runner-up, Heineken. Unlike Heineken's, the market leader's takeover announcements were met by, on average, a –2% price reaction in the stock market in the announcement month, but most of that is already undone in the next month. For Heineken, the same pattern shows up, only faster: the V-shaped reaction takes a few weeks rather than a few months. Such V-reactions may actually reflect a temporary rise in uncertainty rather than overpaying. The finding that reactions are reversed and heterogeneous across firms, raises issues of interpretation and optimal test design of event studies. (JEL Classifications: G12, G14, G17)

Using a sample of New York City restaurants, we examine the relationship between a wine's bottle margin and whether the restaurant offers that same wine by the glass. We find that restaurants offer less expensive wines by the glass but set higher margins on these bottles than for similar wines offered only in bottles. Overall, offering wine by the glass is associated with a 5.0% increase in the bottle price and a 12.2% increase in the bottle margin. We find similar results for retail and wholesale markups of wine bottles. Our results offer evidence that settles a theoretical ambiguity in the menu-pricing literature (Anderson and Dana, 2009) about whether to raise or lower the price of a high-quantity package when introducing a low-quantity package of a good, as it applies to restaurant wine pricing. (JEL Classifications: L11, L83)

Firms rely on brand names to market goods to consumers, and consumers rely on brand names to locate goods that satisfy their preferences. If multiple firms are using the same or similar names, consumers may be confused about which product to buy, and firms may not obtain the benefits of their investments in quality. Recently, both firms and scholars in a number of industries have expressed concern about brand name congestion—too many firms clustering around too few terms. This paper applies computational linguistic analysis to chateau names in the Bordeaux wine region to study the degree of brand congestion within a mature, traditional, and high-value market. We find that Bordeaux producers have highly similar names to one another, far more than in comparable wine regions such as California and Alsace. More than a quarter of all Bordeaux producers have a name that is identical or nearly so to at least one other producer, and many terms are claimed by dozens of different producers. Interestingly, however, we find that the most famous and renowned producers have names that tend to be more distinctive than their less famous brethren. (JEL Classifications: C88, D83, L66, O34)

Classification of wines with a large number of correlated covariates may lead to classification results that are difficult to interpret. In this study, we use a publicly available dataset on wines from three known cultivars, where there are 13 highly correlated variables measuring chemical compounds of wines. The goal is to produce an efficient classifier with straightforward interpretation to shed light on the important features of wines in the classification. To achieve the goal, we incorporate principal component analysis (PCA) in the k-nearest neighbor (kNN) classification to deal with the serious multicollinearity among the explanatory variables. PCA can identify the underlying dominant features and provide a more succinct and straightforward summary over the correlated covariates. The study shows that kNN combined with PCA yields a much simpler and interpretable classifier that has comparable performance with kNN based on all the 13 variables. The appropriate number of principal components is chosen to strike a balance between predictive accuracy and simplicity of interpretation. Our final classifier is based on only two principal components, which can be interpreted as the strength of taste and level of alcohol and fermentation in wines, respectively. (JEL Classifications: C10, Cl4, D83)

This paper analyzes the nonlinear relationship between the advertising investment and reputation of collective brand members in an experience goods industry, as well as the moderating role of their market share within the collective brand. The central assumption is that the quality reputation of collective brand members has a positive effect on their advertising investment until a reputation threshold is reached, after which the effect on advertising investment becomes negative. This change in the slope is explained by the information sets (firm reputation and collective reputation) used by consumers to reduce uncertainty, which leads to a weaker motivation for the firm to invest in advertising. In addition, scale economies of advertising mean that the market share of collective brand members negatively moderates the curvilinear relationship between quality reputation and advertising investment. The results for a sample of 176 companies in a Spanish experience goods industry (i.e., winemaking) between 2004 and 2014 show an inverted U-shaped relationship between the advertising investment and reputation of collective brand members. The results also show that market share negatively moderates this curvilinear relationship. (JEL Classifications: M31, M37, Q13)

The modern era of wine journalism has provided abundant information about wines and widespread use of numerical rating systems. A tiny difference, especially at the top of the distribution of ratings, may have striking consequences on wine sales and investment returns. This article provides a general framework to obtain a consensus among tasters’ opinions (reflected as numerical wine ratings) via three subsequent stages: normalization, approval, and aggregation. It is inspired by contributions in political science, social choice, game theory, and operations research. We apply it to the Judgment of Paris as well as to rank 2018 en-primeur Bordeaux wines, rated by five international experts. (JEL Classifications: C18, L15, L66)

As for all traded products, aggregated wine imports build on numerous trades at the firm level. To ensure consumers access to a variety of wines with different qualities, importers need to connect to different wine exporters. Some of these relationships will last for a long time, while the duration of others may be short. In this article, we employ transaction-level data to analyze the duration of trade relationships in wine imports to Norway from 2004 to 2014. We find that most relationships are short-lived, as more than 75% of trade relationships end after less than two years. Furthermore, we find that higher-quality wines, as indicated by the import price, increase trade duration. Deeper firm-to-firm trade relationships for more exclusive wines are likely due to higher search costs for high-quality products. The results also show that the size of the initial trade between the partners, or degree of commitment, is a positive determinant for persistent relationships. (JEL Classifications: C41, F14, Q27)

This article examines how selected attributes of Bordeaux fine wines (producer, vintage, quality, bottle size, case, flaws, and transaction volume) affect prices in three types of trading venues: auctions, electronic exchange, and the over-the-counter (OTC) market. The findings indicate a price differentiation across the venues. Wine aging leads to relatively higher prices at auctions than on the electronic exchange or the OTC. There is a nearly linear relationship between prices and wine ratings, the strongest of which is found in the case of auctions. The bottle size effect is mostly positive for supersized formats and is the strongest on an electronic exchange and the weakest at auctions. The transaction volume negatively affects wine prices in all the trading venues. The simulation results facilitate the construction of more realistic trading models and may help traders make more informed decisions on the choice of a trading venue, depending on the wine characteristics. (JEL Classifications: D40, G12, Q14, L66)

This study revisits the relationship between economic variables and alcohol consumption from a macro perspective. Focusing explicitly on the asymmetries of the responsiveness of alcohol consumption during the expansion and contraction phases of the business cycle, asymmetric panel estimators are employed. We employ a nonlinear autoregressive distributed lag model for a panel of 24 countries for the period 1961 to 2014. Findings show that expansion leads to a long-term increase in average alcohol consumption, while during contraction, the level of average alcohol consumption persists. Expansion, together with a pronounced reduction in the unemployment rate could, however, lead to a net reduction of gross alcohol and wine consumption. Nonetheless, if the recession corresponds with a surge in unemployment, this leads to a long-run increase in the level of total gross alcohol consumption but a decrease in wine and beer consumption. Reduction in unemployment does not lead to a reduction in beer consumption, as pre-expansion levels of beer consumption persist. (JEL Classifications: E32, I19, L66)