An Econometric Analysis of Alcohol Consumption and Its Relationship to Social, Gender, and Economic Factors
Abstract
1. Introduction
2. Theoretical Foundations and Prior Research
2.1. Gender Differences
2.2. Economic Costs of Hazardous Alcohol and Other Drug Use
3. Methodology, Analysis, and Results
- x = sample mean
- μ = population mean
- s = sample standard deviation
- n = sample size
- = standard error of the mean
4. Recommendations for Employers
4.1. Identification and Treatment of Hazardous Alcohol and Other Drug Use
- Establish Relationships with Treatment Centers: Coordinate with outpatient treatment centers to ensure employees know where they can find help and the types of treatments available.
- Provide Education and Training: Enact hazardous AOD use awareness and training programs to help employees and management recognize and respond to issues. In addition, organizations should provide education regarding the negative association between drinking (both light drinking and excessive drinking) and work performance.
- Cultivate a Supportive Culture in the Workplace: Promote a stigma-free environment that emphasizes employee mental health and physical well-being and encourages employees to reach out for help without fear of reprisal.
- Offer Brief Interventions: These interventions typically last between 5 and 60 min and are intended primarily for at-risk employees. One goal of interventions includes raising awareness of the problems associated with alcohol use and thereby preventing more serious alcohol problems from developing. Other goals are to provide AOD-related practical advice, education, and skill building.
- Formalize Alcohol Use Policies: Establish and communicate clear, concise workplace policies regarding alcohol use to ensure awareness and increase compliance, including policies about situations when drinking is not allowed as well as when light drinking is permitted (e.g., during lunch or dinner with coworkers or while traveling on work-related business.
4.2. Workplace Policies on Alcohol Use
4.3. Other Recommendations
5. Summary and Conclusions
- Alcohol consumption is positively associated with alcohol-related death.
- Alcohol consumption is positively associated with marital instability, as measured by the divorce-to-marriage ratio.
- Alcohol consumption is positively associated with alcohol-related crime.
- 4.
- Alcohol consumption is positively associated with economic activity (per capita GDP); in other words, greater affordability of alcohol is associated with higher consumption and its associated negative consequences.
6. Limitations and Future Research
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Studies on the Economic Costs and Prevalence of Alcohol and Substance Use | |
|---|---|
| Source | Key Findings/Recommendations |
| United Nations Office on Drugs and Crime (2020). World Drug Report 2020. United Nations publication. |
|
| U.S. Department of Health and Human Services (2016). Office of the Surgeon General, Facing Addiction in America: The Surgeon General’s Report on Alcohol, Drugs, and Health. |
|
| Carise (2021). Economic cost of substance use disorder in the United States. |
|
| Center for Behavioral Health Statistics and Quality (2016). 2015 National survey on drug use and health. |
|
| Ghimire et al. (2025). Productivity losses from substance use disorder in the U.S. in 2023. American Journal of Preventive Medicine. |
|
| National Center for Drug Abuse Statistics (2025). |
|
| Studies on the Identification and Treatment of Alcohol and Substance Use | |
| Source | Key Findings/Recommendations |
| Spell and Blum (2005). Adoption of workplace substance use disorder prevention programs: Strategic choice and institutional perspectives. Academy of Management Journal. |
|
| Ontario Human Rights Commission (2009). Ontario human rights commission policy on drug and alcohol testing. |
|
| International Employee Assistance Professionals Association. (IEAPA, 2021). FAQ: How many companies have EAPs? |
|
| Moffie et al. (1992). Coping with substance abuse on the job: What the internal auditor should do. Internal Auditor. |
|
| Cook and Schlenger (2002). Prevention of substance abuse in the workplace: Review of research on the delivery of services. The Journal of Primary Prevention. |
|
| Smook et al. (2017). Substance abuse and the workplace: A situation analysis. Social Work. |
|
| Studies on Workplace Policies on Alcohol Use and Substance Use | |
| Source | Key Findings/Recommendations |
| Alfred et al. (2020). An integrative literature review exploring the impact of alcohol workplace policies. International Journal of Workplace Health Management, Vol. 14 No. 1: 87–110. |
|
| Pidd et al. (2016). Do workplace policies work? An examination of the relationship between alcohol and other drug policies and workers’ substance use. International Journal of Drug Policy. |
|
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| S: Strengthen restrictions on alcohol availability |
| A: Advance and enforce drunk driving counter measures |
| F: Facilitate access to screening, brief interventions and treatment |
| E: Enforce bans or comprehensive restrictions on alcohol advertising, sponsorship, and promotion |
| R: Raise prices on alcohol through excise taxes and pricing policies |
| 1. Hazardous alcohol and drug use |
| 2. Alcoholism |
| 3. Marital difficulties |
| 4. Emotional problems |
| 5. Financial problems |
| 6. Legal problems |
| Rank | Country Name | Alcohol Consumption per Capita * | GDP per Capita (in USD) ** | Alcohol-Related Deaths per 100K *** | Divorce-to-Marriage Ratio **** |
|---|---|---|---|---|---|
| 1 | Romania | 17.0 | 18,348 | 1.46 | 20.7 |
| 2 | Georgia | 14.3 | 9194 | 1.03 | 18.8 |
| 3 | Dominican Republic | 13.3 | 10,718 | 1.20 | 40.9 |
| 4 | Latvia | 13.1 | 22,444 | 8.83 | 50.0 |
| 5 | Germany | 12.2 | 53,528 | 4.32 | 38.8 |
| 6 | Austria | 12.0 | 56,042 | 3.41 | 32.0 |
| 7 | Bulgaria | 11.9 | 15,068 | 0.43 | 41.2 |
| 8 | Lithuania | 11.8 | 27,956 | 5.40 | 51.0 |
| 9 | Ireland | 11.7 | 106,106 | 1.04 | 15.2 |
| 10 | Poland | 11.6 | 20,876 | 9.80 | 40.0 |
| 11 | Luxembourg | 11.5 | 128,936 | 2.81 | 52.6 |
| 12 | Estonia | 11.3 | 30,201 | 7.73 | 40.4 |
| 13 | France | 11.3 | 44,451 | 3.29 | 51.4 |
| 14 | Slovenia | 11.0 | 32,642 | 13.15 | 33.3 |
| 15 | Belarus | 10.9 | 7883 | 19.82 | 60.7 |
| 16 | Spain | 10.9 | 33,814 | 0.41 | 45.7 |
| 17 | United Kingdom | 10.8 | 49,224 | 1.76 | 40.9 |
| 18 | Hungary | 10.6 | 21,954 | 3.06 | 34.6 |
| 19 | Portugal | 10.4 | 27,718 | 0.60 | 45.7 |
| 20 | Switzerland | 10.4 | 100,831 | 1.53 | 41.7 |
| 21 | Belgium | 10.3 | 55,049 | 2.78 | 42.5 |
| 22 | Montenegro | 10.3 | 11,885 | 1.10 | 26.4 |
| 23 | Australia | 10.1 | 67,129 | 1.07 | 43.5 |
| 24 | Canada | 9.9 | 54,517 | 2.76 | 47.7 |
| 25 | New Zealand | 9.9 | 48,750 | 0.75 | 41.7 |
| 26 | United States | 9.6 | 80,706 | 3.50 | 45.1 |
| 27 | Denmark | 9.4 | 68,440 | 6.10 | 46.4 |
| 28 | Netherlands | 9.3 | 63,803 | 2.12 | 36.8 |
| 29 | Sweden | 9.3 | 55,439 | 2.09 | 46.6 |
| 30 | Finland | 9.2 | 52,762 | 5.17 | 56.8 |
| 31 | South Africa | 8.8 | 5976 | 1.93 | 17.1 |
| 32 | Ukraine | 8.7 | 4737 | 10.06 | 70.9 |
| 33 | Croatia | 8.5 | 21,661 | 2.92 | 24.4 |
| 34 | Malta | 8.5 | 41,676 | 0.37 | 12.1 |
| 35 | Cyprus | 8.1 | 37,077 | 0.33 | 32.4 |
| 36 | Iceland | 8.1 | 80,827 | 3.14 | 36.7 |
| 37 | Italy | 8.0 | 38,672 | 0.26 | 45.2 |
| 38 | Mongolia | 7.9 | 5790 | 18.07 | 32.4 |
| 39 | Thailand | 7.8 | 7182 | 0.62 | 25.5 |
| 40 | Brazil | 7.7 | 10,378 | 3.02 | 21.2 |
| 41 | Mauritius | 7.5 | 11,304 | 3.15 | 17.1 |
| 42 | Greece | 7.1 | 23,772 | 0.33 | 38.5 |
| 43 | Norway | 6.8 | 87,932 | 2.35 | 44.2 |
| 44 | Chile | 6.7 | 17,068 | 0.88 | 21.2 |
| 45 | Japan | 6.7 | 33,806 | 0.24 | 35.4 |
| 46 | Panama | 6.6 | 18,701 | 0.72 | 27.0 |
| 47 | Trinidad and Tobago | 6.1 | 16,960 | 1.36 | 34.9 |
| 48 | China | 5.7 | 12,509 | 1.05 | 44.4 |
| 49 | Mexico | 5.7 | 13,826 | 2.39 | 17.3 |
| 50 | Albania | 5.1 | 8172 | 0.48 | 21.0 |
| 51 | Colombia | 4.9 | 6948 | 0.04 | 30.4 |
| 52 | India | 4.9 | 2487 | 1.81 | 1.0 |
| 53 | Kazakhstan | 4.5 | 13,000 | 6.90 | 34.3 |
| 54 | Nicaragua | 4.2 | 2163 | 5.38 | 17.8 |
| 55 | Jamaica | 3.6 | 6840 | 0.24 | 20.0 |
| 56 | Costa Rica | 3.5 | 16,942 | 2.21 | 47.2 |
| 57 | Ecuador | 3.3 | 6610 | 1.74 | 19.6 |
| 58 | El Salvador | 3.3 | 5391 | 10.91 | 22.9 |
| 59 | Israel | 3.0 | 55,488 | 0.42 | 27.7 |
| 60 | Uzbekistan | 2.6 | 2549 | 0.36 | 14.1 |
| 61 | Azerbaijan | 2.0 | 7012 | 2.28 | 15.5 |
| 62 | Singapore | 1.9 | 86,616 | 0.12 | 27.9 |
| 63 | Turkey | 1.8 | 12,814 | 0.21 | 25.0 |
| 64 | Guatemala | 1.6 | 5763 | 13.98 | 31.6 |
| 65 | Lebanon | 1.5 | 4757 | 0.27 | 16.8 |
| 66 | Qatar | 1.1 | 71,499 | 0.25 | 33.3 |
| 67 | Malaysia | 0.8 | 11,377 | 0.58 | 25.0 |
| 68 | Algeria | 0.6 | 5364 | 0.20 | 15.8 |
| 69 | Jordan | 0.3 | 4442 | 0.15 | 26.9 |
| 70 | Kuwait | 0.1 | 33,832 | 0.24 | 42.3 |
| 71 | Saudi Arabia | 0.1 | 32,094 | 0.35 | 37.5 |
| Mean | 7.5 | 31,950 | 3.11 | 33.5 |
| Alcohol Consumption per Capita | Mean | t-Statistic | Sig. (1-Tailed) | |
|---|---|---|---|---|
| Alcohol-Related | Top 24 | 4.12 | 1.59 | 0.06 |
| Deaths per 100K | Bottom 24 | 2.19 | ||
| Divorce-to-Marriage | Top 24 | 39.8 | 4.48 | 0.00 |
| Ratio | Bottom 24 | 25.6 | ||
| GDP per Capita (in | Top 24 | 41,938 | 3.00 | 0.00 |
| USD) | Bottom 24 | 17,854 |
| Country | Alcohol Consumption per Capita ** | Percent of Crimes *** | ||
|---|---|---|---|---|
| 1 | Georgia | 14.3 | 0.7 | |
| 2 | Latvia | 13.1 | 10.1 | |
| 3 | Lithuania | 11.8 | 26.0 | |
| 4 | Ireland | 11.7 | 14.6 | |
| 5 | Estonia | 11.3 | 15.8 | |
| 6 | Belarus | 10.9 | 18.2 | |
| 7 | United Kingdom | 10.8 | 55.7 | |
| 8 | Hungary | 10.6 | 3.5 | |
| 9 | New Zealand | 9.9 | 30.0 | |
| 10 | United States | 9.6 | 16.5 | |
| 11 | Finland | 9.2 | 0.8 | |
| 12 | Ukraine | 8.7 | 15.7 | |
| 13 | Croatia | 8.5 | 9.2 | |
| 14 | Mongolia | 7.9 | 22.6 | |
| 15 | Norway | 6.8 | 0.4 | |
| 16 | Chile | 6.7 | 4.6 | |
| 17 | Azerbaijan | 2.0 | 2.3 | |
| 18 | Iran | 0.7 | 2.3 | |
| Overall Mean | 9.1 | 13.8 | ||
| Top 9 Mean | 11.6 | 19.4 | ||
| Bottom 9 Mean | 6.7 | 8.3 | ||
| Difference | 4.9 | 11.1 | a |
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© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Share and Cite
Kerr, D.; Russell, A.; Smith, K.T.; Smith, L.M. An Econometric Analysis of Alcohol Consumption and Its Relationship to Social, Gender, and Economic Factors. Econometrics 2026, 14, 40. https://doi.org/10.3390/econometrics14030040
Kerr D, Russell A, Smith KT, Smith LM. An Econometric Analysis of Alcohol Consumption and Its Relationship to Social, Gender, and Economic Factors. Econometrics. 2026; 14(3):40. https://doi.org/10.3390/econometrics14030040
Chicago/Turabian StyleKerr, David, Alex Russell, Katherine Taken Smith, and Lawrence Murphy Smith. 2026. "An Econometric Analysis of Alcohol Consumption and Its Relationship to Social, Gender, and Economic Factors" Econometrics 14, no. 3: 40. https://doi.org/10.3390/econometrics14030040
APA StyleKerr, D., Russell, A., Smith, K. T., & Smith, L. M. (2026). An Econometric Analysis of Alcohol Consumption and Its Relationship to Social, Gender, and Economic Factors. Econometrics, 14(3), 40. https://doi.org/10.3390/econometrics14030040

