We used a survey to investigate the effects of personality, motives, and socioeconomics for drinking hard cider among 3,373 Norwegian respondents in 2023. Wine interest, cultural interest, having a high score on conspicuous attitude, or being female increased the predicted consumption frequencies of hard cider. Scoring high on the taste index, being a conscientious respondent, being older, higher educated, or believing religion is important reduced the predicted frequencies. The estimated effects were compared with the corresponding effects for red, white, and sparkling wines. Cultural interest and wine interest are the main motives for hard cider and all categories of wine.

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.

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.

While many studies have evaluated consumer demand for local foods, fewer studies have focused on the mechanism that has created the positive willingness-to-pay for local foods. This article compares the role of geographic distance and attachment value in consumer preferences for locally produced hard cider. Consumer valuations are estimated via a “branded” discrete choice experiment where the respondents chose between an in-state hard cider, an out-of-state hard cider, and a no buy option. Our measure of travel distance is based on the optimal driving route between each consumer's GPS location and the locations of the cideries while our attachment value measure is based on social capital theory. This allows us to analyze individual-specific travel distance heterogeneity in consumer choice as it relates to attachment value. Based on a latent class logit model estimated from a discrete choice experiment with 441 participants, we show that attachment value is higher for a cider produced within the state than for a cider produced outside the state. Furthermore, we show that increases in attachment value increase demand for locally produced hard cider more than an equal increase in attachment value for non-locally produced hard cider. Our findings are consistent with “local” preferences based on geopolitical boundaries (e.g., the state of Michigan) and not distance. (JEL Classifications: B55, M3, Q13, C83)