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The phenomenological theory of world population growth


P.L. Kapitza Institute for Physical Problems, Russian Academy of Sciences, ul. Kosygina 2, Moscow, 119334, Russian Federation

Of all global problems world population growth is the most significant. Demographic data describe this process in a concise and quantitative way in its past and present. Analysing this development it is possible by applying the concepts of systems analysis and synergetics, to work out a mathematical model for a phenomenological description of the global demographic process and to project its trends into the future. Assuming self-similarity as the dynamic principle of development, growth can be described practically over the whole of human history, assuming the growth rate to be proportional to the square of the number of people. The large parameter of the theory and the effective size of a coherent population group is of the order of 105 and the microscopic parameter of the phenomenology is the human lifespan. The demographic transition — a transition to a stabilised world population of some 14 billion in a foreseeable future — is a systemic singularity and is determined by the inherent pattern of growth of an open system, rather than by the lack of resources. The development of a quantitative nonlinear theory of the world population is of interest for interdisciplinary research in anthropology and demography, history and sociology, for population genetics and epidemiology, for studies in evolution of humankind and the origin of man. The model also provides insight into the stability of growth and the present predicament of humankind, and provides a setting for discussing the main global problems.

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Fulltext is also available at DOI: 10.1070/PU1996v039n01ABEH000127
PACS: 01.75.+m
DOI: 10.1070/PU1996v039n01ABEH000127
URL: https://ufn.ru/en/articles/1996/1/c/
A1996TZ81500003
Citation: Kapitsa S P "The phenomenological theory of world population growth" Phys. Usp. 39 57–71 (1996)
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Оригинал: Капица С П «Феноменологическая теория роста населения Земли» УФН 166 63–80 (1996); DOI: 10.3367/UFNr.0166.199601c.0063

References (51) Cited by (82) ↓ Similar articles (20)

  1. Li Sh, Zhang Q, Wei M International Journal Of Damage Mechanics (2026)
  2. Grinin L, Markov A, Korotayev A Complexity in Universal Evolution World-Systems Evolution And Global Futures Chapter 12 (2026) p. 283
  3. LePoire D J, Grinin L, Korotayev A Complexity in Universal Evolution World-Systems Evolution And Global Futures Chapter 2 (2026) p. 29
  4. Yakovenko V M Physica A: Statistical Mechanics And Its Applications 661 130412 (2025)
  5. Bellina A, De Marzo G, Loreto V European Economic Review 177 105052 (2025)
  6. Korotayev A Navigating Complexity in Big History World-Systems Evolution And Global Futures Chapter 5 (2025) p. 101
  7. LePoire D J, Grinin L, Korotayev A Navigating Complexity in Big History World-Systems Evolution And Global Futures Chapter 1 (2025) p. 1
  8. Soriano C C WRPE 16 (2) (2025)
  9. Shepelev G Science Management: Theory and Practice 7 (2) 179 (2025)
  10. Taagepera R, Nemčok Miroslav The Anthropocene Review 11 (1) 163 (2024)
  11. Prichina O S, Orekhov V D, Blinnikova A V Economic Problems And Legal Practice 20 (4) 147 (2024)
  12. Soriano C C Marxism and Earth’s Habitability Crisis Marx, Engels, And Marxisms Chapter 3 (2024) p. 37
  13. Grinin L, Grinin A, Korotayev A World Futures 80 (3) 199 (2024)
  14. Grinin L, Grinin A, Korotayev A Cybernetic Revolution and Global Aging World-Systems Evolution And Global Futures Chapter 13 (2024) p. 523
  15. Akaev A, Malkov S et al Reconsidering the Limits to Growth World-Systems Evolution And Global Futures Chapter 17 (2023) p. 337
  16. Zakharov V V Dokl. Math. 108 (2) 419 (2023)
  17. Malkov S, Grinin L et al Reconsidering the Limits to Growth World-Systems Evolution And Global Futures Chapter 18 (2023) p. 387
  18. Grobys K International Review Of Financial Analysis 89 102787 (2023)
  19. Sadovnichy V, Akaev A et al Reconsidering the Limits to Growth World-Systems Evolution And Global Futures Chapter 14 (2023) p. 241
  20. Ustinova I 2023 IEEE International Conference on Smart Information Systems and Technologies (SIST), (2023) p. 232
  21. Akaev A, Malkov S et al Reconsidering the Limits to Growth World-Systems Evolution And Global Futures Chapter 19 (2023) p. 419
  22. Alam A, Biswas S, Satpati L Population, Sanitation and Health Chapter 1 (2023) p. 3
  23. Zakharov V V Doklady Rossijskoj Akademii Nauk. Matematika, Informatika, Processy Upravleni?n 513 (1) 108 (2023)
  24. Budanov V, Arshinov V et al SCIENCE AND HUMAN PHENOMENA IN THE ERA OF CIVILIZATIONAL MACROSHIFT 1 (2023)
  25. Trubitsyn O K Jour 21 (2) 36 (2023)
  26. Kartashov A S Metaphysics (2) 8 (2022)
  27. TAMERGENCER Z Erciyes İleti?zim Dergisi 8 (2) 471 (2021)
  28. Grinin L, Grinin A, Korotayev A World Futures 77 (5) 335 (2021)
  29. Gladkov S O BIOPHYSICS 66 (5) 858 (2021)
  30. Kareva I, Karev G Modeling Evolution of Heterogenous Populations (2020) p. 25
  31. Sibani P, Rasmussen S Physica A: Statistical Mechanics And Its Applications 558 124985 (2020)
  32. Grinin L, Grinin A, Korotayev A V The 21st Century Singularity and Global Futures World-Systems Evolution And Global Futures Chapter 14 (2020) p. 287
  33. Korotayev A V The 21st Century Singularity and Global Futures World-Systems Evolution And Global Futures Chapter 2 (2020) p. 19
  34. Korotayev A V The 21st Century Singularity and Global Futures World-Systems Evolution And Global Futures Chapter 26 (2020) p. 571
  35. Fomin A The 21st Century Singularity and Global Futures World-Systems Evolution And Global Futures Chapter 5 (2020) p. 105
  36. LePoire D J, Devezas T The 21st Century Singularity and Global Futures World-Systems Evolution And Global Futures Chapter 11 (2020) p. 213
  37. Grinin L, Grinin A, Korotayev A Technological Forecasting And Social Change 155 119955 (2020)
  38. LePoire D J, Korotayev A V The 21st Century Singularity and Global Futures World-Systems Evolution And Global Futures Chapter 27 (2020) p. 599
  39. Modeling Evolution of Heterogenous Populations (2020) p. 327
  40. Tsirel S The 21st Century Singularity and Global Futures World-Systems Evolution And Global Futures Chapter 6 (2020) p. 119
  41. Panov A The 21st Century Singularity and Global Futures World-Systems Evolution And Global Futures Chapter 20 (2020) p. 439
  42. Zgurovsky M Z, Zaychenko Yu P Studies In Big Data Vol. Big Data: Conceptual Analysis and ApplicationsIntellectual Analysis of Systemic World Conflicts and Global Forecast for the 21st Century58 Chapter 4 (2020) p. 141
  43. Mitikhin V G, Yastrebov V S, Mitikhina I A Neurosci Behav Physi 49 (2) 233 (2019)
  44. Pokrovskii V N Econodynamics New Economic Windows Chapter 12 (2018) p. 237
  45. Ivanitskii G R Phys.-Usp. 61 (9) 871 (2018)
  46. Kareva I, Karev G Bull Math Biol 80 (1) 151 (2018)
  47. Rogalchuk V, Arustamov S et al Dynamic Knowledge Representation in Scientific Domains Advances In Web Technologies And Engineering chapter 13 (2018) p. 286
  48. Cardullo M W, Mannie L M JBFE 70 (2017)
  49. Mitikhin V G, Yastrebov V S, Mitikhina I A Z. Nevrol. Psikhiatr. Im. S.S. Korsakova 117 (11) 5 (2017)
  50. Karev G P, Kareva I Bull Math Biol 78 (4) 834 (2016)
  51. Aral M M Front. Environ. Sci. 2 (2014)
  52. Aral M M Water Qual Expo Health 6 (1-2) 53 (2014)
  53. Krushel E G, Stepanchenko I V et al Communications In Computer And Information Science Vol. Knowledge-Based Software EngineeringForecasting Model of Small City Depopulation Processes and Possibilities of Their Prevention466 Chapter 38 (2014) p. 446
  54. Yukalov V I, Yukalova E P, Sornette D Int. J. Bifurcation Chaos 24 (02) 1450021 (2014)
  55. Karev G P, Kareva I G, Morozov A Math. Model. Nat. Phenom. 9 (3) 68 (2014)
  56. Taagepera R Technological Forecasting And Social Change 82 34 (2014)
  57. Peura P Renewable And Sustainable Energy Reviews 19 309 (2013)
  58. Yukalov V I, Yukalova E P et al PLoS ONE 8 (12) e83225 (2013)
  59. Rodkin M V, Pisarenko V F Selected Papers From Volume 31 ofVychislitel’naya Seysmologiya Computational Seismology And Geodynamics (2013) p. 85
  60. Yukalov V I, Yukalova E P, Sornette D Eur. Phys. J. Spec. Top. 205 (1) 313 (2012)
  61. Miranda L C M, Lima C A S Technological Forecasting And Social Change 78 (8) 1445 (2011)
  62. Kapitza S P Uspekhi Fizicheskikh Nauk 180 (12) 1337 (2010)
  63. Dolgonosov B M Ecological Modelling 221 (13-14) 1702 (2010)
  64. Zgurovsky M Z Cybern Syst Anal 46 (2) 167 (2010)
  65. Cai J C, Mei D C Eur. Phys. J. B 72 (4) 607 (2009)
  66. Kotelnikova E, Kalinin A et al Evol Bioinform Online 3 (2007)
  67. Nikol’skii I M MoscowUniv.Comput.Math.Cybern. 31 (4) 154 (2007)
  68. Kurkina E S, Nikol’skii I M Comput Math Model 18 (3) 217 (2007)
  69. Lemarchand G A The Future of Life and the Future of our Civilization Chapter 51 (2006) p. 457
  70. Kurkina E S, Nikol’skii I M Comput Math Model 17 (4) 320 (2006)
  71. Dolgonosov B M, Naidenov V I Ecological Modelling 198 (3-4) 375 (2006)
  72. Panov A D Advances In Space Research 36 (2) 220 (2005)
  73. Kurkina E S Comput Math Model 16 (3) 257 (2005)
  74. Kurkina E S Comput Math Model 16 (2) 121 (2005)
  75. Lemarchand G A Symp. - Int. Astron. Union 213 460 (2004)
  76. Mitnitski A, Rockwood K Sci. Aging Knowl. Environ. 2003 (12) (2003)
  77. SORNETTE D, IDE K Int. J. Mod. Phys. C 14 (03) 267 (2003)
  78. Ide K, Sornette D Physica A: Statistical Mechanics And Its Applications 307 (1-2) 63 (2002)
  79. Johansen A, Sornette D Physica A: Statistical Mechanics And Its Applications 294 (3-4) 465 (2001)
  80. Pimentel D, Edwards C A Implementing Ecological Integrity Chapter 26 (2000) p. 377
  81. Knyazeva H World Futures 54 (2) 163 (1999)
  82. Morrison P International Astronomical Union Colloquium 161 571 (1997)

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