Panel Data Analysis of Socioeconomic Factors and COVID-19’s Impact on Drinking Habits: Evidence from a Japanese Survey
Makoto Nakakita (),
Naoki Kubota,
Tomoki Toyabe,
Sakae Oya and
Teruo Nakatsuma
Additional contact information
Makoto Nakakita: Center for Advanced Intelligence Project, RIKEN, Tokyo 103-0027, Japan
Naoki Kubota: Faculty of Economics, Keio University, Tokyo 108-8345, Japan
Tomoki Toyabe: Faculty of Economics, Kanazawa Gakuin University, Ishikawa 920-1392, Japan
Sakae Oya: Centre for Finance, Technology and Economics at Keio, Keio University, Tokyo 108-8345, Japan
Teruo Nakatsuma: Faculty of Economics, Keio University, Tokyo 108-8345, Japan
IJERPH, 2025, vol. 22, issue 5, 1-13
Abstract:
Alcohol use is closely related to health, emotional state, and social behavior. However, no clear consensus exists on how socioeconomic factors influence drinking habits or how the COVID-19 pandemic affected alcohol use. This study examines these relationships in Japan using panel data from a questionnaire survey (2014–2022), consisting of 10,836 responses provided by 1289 respondents, and logistic regression analysis. The results revealed that males, individuals aged 40–69, cigarette smokers, and those who exercise regularly are more likely to drink alcohol, whereas those working at least 2 days per week, earning higher incomes, and in good health are less likely to drink alcohol. The impact of COVID-19 on drinking behavior varied by region, with significant effects observed in specific regions. Additionally, an identified decline in alcohol use since 2016 highlights rising health awareness and shifting values, particularly among younger generations. These findings underscore the strong association between drinking behavior and socioeconomic attributes and emphasize the need to consider regional differences in policy and cultural influences. Overall, this study provides key insights for future research and public health policies on alcohol use in Japan.
Keywords: alcohol use; socioeconomic factor; COVID-19; logit model; Bayesian estimation; Japan (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1660-4601/22/5/663/pdf (application/pdf)
https://www.mdpi.com/1660-4601/22/5/663/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:22:y:2025:i:5:p:663-:d:1640264
Access Statistics for this article
IJERPH is currently edited by Ms. Jenna Liu
More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().