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RAS PresidiumВестник Российской академии наук Herald of the Russian Academy of Sciences

  • ISSN (Print) 0869-5873
  • ISSN (Online) 3034-5200

DEMOGRAPHIC POTENTIAL OF THE WORLD'S COUNTRIES

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PII
S3034520025120027-1
DOI
10.7868/S3034520025120027
Publication type
Article
Status
Published
Authors
M.S. Varenik
  • Occupation: Candidate of Sciences (Sociology), Deputy Director
  • Affiliation: Higher School of Public Administration at Lomonosov Moscow State University
A.R. Bakhtizin
  • Occupation: Corresponding Member of the RAS, Director
  • Affiliation: Central Economics and Mathematics Institute of the RAS
V.L. Makarov
  • Occupation: Academician of the RAS, Academic Director; President; Director
  • Affiliation:
    Central Economics and Mathematics Institute of the RAS
    New Economic School
    Higher School of Public Administration at Lomonosov Moscow State University
Wu Jie
  • Occupation: Chairman of the Board; researcher; visiting professor; consultant
  • Affiliation:
    Guangzhou Milestone Software Co., Ltd.
    Center for Economic and Social Integration and Forecasting, Chinese Academy of Social Sciences
    Guangdong Academy of Social Sciences
    National Supercomputer Center of the People's Republic of China
Hoda A. Al-Khzaimi
  • Occupation: co-chair; founder and director; director
  • Affiliation:
    World Economic Forum’s (WEF) Global Future Council on Cybersecurity
    EMARATSEC Center for Cryptography and Emerging Technologies
    Center for Cybersecurity at New York University in Abu Dhabi (UAE)
He Zhou
  • Occupation: professor
  • Affiliation: School of Economics and Management at the University of the Chinese Academy of Sciences
Wu Zili
  • Occupation: vice chairman
  • Affiliation: Guangzhou Milestone Software Co., Ltd.
Volume/ Edition
Volume / Issue number 12
Pages
14-28
Abstract
Most countries face serious demographic challenges associated with population ageing, declining labor potential, migration crises, and other negative processes. This article proposes a methodology for measuring demographic potential across all countries of the world, based on the application of multivariate statistical analysis. The composite indicator enables the detection of weaknesses in demographic systems as well as the factors that largely determine their resilience in the short, medium, and long term. Three methods were applied in the calculations: entropy weighting, principal component analysis, and the CRITIC method. The resulting index also enables cross-country comparisons and can be used in the design of demographic policy measures.
Keywords
демографический потенциал композитный индекс устойчивость демографических систем миграция рождаемость возрастная структура энтропийное взвешивание демографическая политика
Date of publication
01.12.2025
Year of publication
2025
Number of purchasers
0
Views
11

References

  1. 1. Рыбаковский О.Л. Демографический потенциал: сущность, структура и основные факторы // Уровень жизни населения регионов России. 2023. Т. 19. № 3. С. 319–326. https://doi.org/10.52180/1999-9836_2023_19_3_1_319_326
  2. 2. Rybakovskii O.L. Demographic Potential: Essence, Structure and Main Factors // Living Standards of the Population in the Regions of Russia. 2023, v. 19, pp. 319–326. https://doi.org/10.52180/1999-9836_2023_19_3_1_319_326 (In Russ.)
  3. 3. Доброхлеб В.Г., Сигарева Е.П. Демографический потенциал Вологодской области // Проблемы развития территории. 2019. № 4 (102). С. 118–131. https://doi.org/10.15838/ptd.2019.4.102.7
  4. 4. Dobrokhleb V.G., Sigareva E.P. The Demographic Capacity of the Vologda Oblast // Problems of Territory’s Development. 2019, no. 4 (102), pp. 118–131. https://doi.org/10.15838/ptd.2019.4.102.7 (In Russ.)
  5. 5. Короленко А.В. Демографический потенциал Вологодского муниципального района: статистический и социологический аспекты // Вопросы территориального развития. 2021. Т. 9. № 5. https://doi.org/10.15838/tdi.2021.5.60.5; http://vtr.isert-ran.ru/article/29120
  6. 6. Korolenko А.V. Demographic Potential of Vologodsky Municipal District: Statistical and Sociological Aspects // Territorial development issues. 2021, vol. 9, no. 5. https://doi.org/10.15838/tdi.2021.5.60.5; http://vtr.isert-ran.ru/article/29120 (In Russ.)
  7. 7. Handbook on Constructing Composite Indicators: Methodology and User Guide. Paris: OECD Publishing, 2008. https://doi.org/10.1787/9789264043466-en
  8. 8. Human Development Report 2025. A matter of choice: People and possibilities in the age of AI. New York: UNDP, 2025. https://hdr.undp.org/content/human-development-report-2025
  9. 9. Population Development Composite Index 2020 Report. UNFPA. https://arabstates.unfpa.org/en/publications/population-development-composite-index-2020-report
  10. 10. Olasehinde N., Awodumi O.B., Odufuwa O. et al. Demographic Dividend Monitoring Index: A Comprehensive Methodological Framework. 2024, January. http://dx.doi.org/10.2139/ssrn.4963701
  11. 11. Smale B. How are Ontarians Really Doing? Adapting the Canadian Index of Wellbeing to the Provincial Level. A Technical Report Prepared for the Ontario Trillium Foundation. Canadian Index of Wellbeing and University of Waterloo, 2014.
  12. 12. Gruss B., Noureldin D. Sustaining Growth in an Aging World. https://www.imf.org/en/Publications/fandd/issues/2025/06/sustaining-growth-in-an-aging-world-bertrand-gruss
  13. 13. Van de Beek J., Roodenburg H., Hartog J. et al. Borderless Welfare State. The Consequences of Immigration for Public Finances // Research report, University of Amsterdam, 2nd revised edition. 2023, April. https://demo-demo.nl/wp-content/uploads/2023/06/Borderless_Welfare_State-2.pdf
  14. 14. Di Martino D. The Lifetime Fiscal Impact of Immigrants // Manhattan Institut, 2024. https://manhattan.institute/article/the-lifetime-fiscal-impact-of-immigrants
  15. 15. Бахтизин А.Р. Трансформация рынка труда и экономическое развитие России // Экономическое возрождение России. 2025. № 2 (84). С. 57–70. https://doi.org/10.37930/1990-9780-2025-2-84-57-70
  16. 16. Bakhtizin A.R. Labor Market Transformation and Economic Development of Russia // Economic Revival of Russia. 2025, no. 2(84), pp. 57–70. https://doi.org/10.37930/1990-9780-2025-2-84-57-70 (In Russ.)
  17. 17. Yuxin Z., Dazuo T., Feng Y. Effectiveness of Entropy Weight Method in Decision-Making // Mathematical Problems in Engineering. 2020, рр. 1–5. https://doi.org/10.1155/2020/3564835
  18. 18. Gewers F., Ferreira G., De Arruda H. et al. Principal Component Analysis: A Natural Approach to Data Exploration // ACM Computing Surveys. 2021, vol. 54, pp. 1–34. https://doi.org/10.1145/3447755
  19. 19. Zhang Q., Fan J., Gao C. CRITID: Enhancing CRITIC with advanced independence testing for robust multicriteria decision-making // Scientific Reports. 2024, October, no. 14. https://doi.org/10.1038/s41598-024-75992-z
  20. 20. World Economic Outlook: A Critical Juncture amid Policy Shifts. IMF, Washington, 2025, April. https://www.imf.org/en/Publications/WEO/Issues/2025/04/22/world-economic-outlook-april-2025
  21. 21. Основные направления социально-экономического развития России: обоснование и оценка последствий (по итогам модельных исследований ЦЭМИ РАН). М.: ЦЭМИ РАН, 2023. ISBN 978-5-8211-0818-0
  22. 22. Key Directions of Russia’s Socio-Economic Development: Rationale and Assessment of Consequences (Based on CEMI RAS Model Studies). Moscow: CEMI RAS, 2023. ISBN 978-5-8211-0818-0. (In Russ.)
  23. 23. Макаров В.Л., Бахтизин А.Р., Логинов Е.Л. Применение экономико-математических методов и моделей оптимального планирования в цифровой экономике будущего (ЦЭМИ АН СССР и ЦЭМИ РАН: прогностическая интерпретация и развитие научного наследия нобелевских лауреатов Л.В. Канторовича и В.В. Леонтьева). М.: ЦЭМИ РАН, 2022. ISBN 978-5-6046414-5-3. https://doi.org/10.48612/Bujet/vamm-r6ez-n1kf
  24. 24. Makarov V.L., Bakhtizin A.R., Loginov E.L. Application of Economic-Mathematical Methods and Optimal Planning Models in the Digital Economy of the Future (CEMI USSR Academy of Sciences and CEMI RAS: Forecasting Interpretation and Development of the Scientific Legacy of Nobel Laureates L.V. Kantorovich and W. Leontief). Moscow: CEMI RAS, 2022. ISBN 978-5-6046414-5-3. https://doi.org/10.48612/Bujet/vamm-r6ezn1kf (In Russ.)
  25. 25. Бахтизин А.Р. Урбанизация и вопросы пространственного развития // Научные труды Вольного экономического общества России. 2024. Т. 6 (250). С. 69–88. https://doi.org/10.38197/2072-2060-2024-250-6-69-88
  26. 26. Bakhtizin A.R. (2024). Urbanization and spatial development issues // Scientific Works of the Free Economic Society of Russia. 2024, v. 6 (250), pp. 69–88. https://doi.org/10.38197/2072-2060-2024-250-6-69-88 (In Russ.)
  27. 27. Макаров В.Л., Бахтизин А.Р., Луо Х. и др. Долгосрочное демографическое прогнозирование // Вестник РАН. 2023. T. 93. № 1. С. 21–35. https://doi.org/10.31857/S0869587323010048
  28. 28. Makarov V.L., Bakhtizin A.R., Luo H. et al. Long-term demographic forecasting // Herald of the RAS. 2023, vol. 93, no. 1, pp. 21–35. https://doi.org/10.31857/S0869587323010048 (In Russ.)
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