The phenomenological theory of world population growth

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.

[1]  S. P. Kurdyumov,et al.  EVOLUTION AND SELF-ORGANIZATION LAWS IN COMPLEX SYSTEMS , 1990 .

[2]  N. Keyfitz,et al.  World Population Growth And Aging , 1968 .

[3]  Does fully developed turbulence exist? Reynolds number independence versus asymptotic covariance , 1995, cond-mat/9507132.

[4]  Nathan Keyfitz,et al.  Applied Mathematical Demography , 1978 .

[5]  A. King,et al.  The First Global Revolution , 1991 .

[6]  T. Vasko,et al.  The Long-Wave Debate , 1987 .

[7]  Heinz von Foerster,et al.  Doomsday: Friday, 13 November, A.D. 2026 , 1960 .

[8]  Mihajlo Mesarovic,et al.  Mankind at the Turning Point , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[9]  G. G. Scarrott Some consequences of recursion in human affairs , 1982 .

[10]  F. Fukuyama,et al.  The End of History, or a New Crisis?@@@The End of History and the Last Man. , 1993 .

[11]  H. Haken Advanced Synergetics: Instability Hierarchies of Self-Organizing Systems and Devices , 1983 .

[12]  J. Monro World population forecasts , 1993, Nature.

[13]  H. Haberl,et al.  Simulation of human population dynamics by a hyperlogistic time-delay equation , 1992 .

[14]  C. S. Mihanovich The myth of overpopulation. , 1952, The Linacre quarterly.

[15]  K. Weiss On the number of members of the genus Homo who have ever lived, and some evolutionary implications. , 1984, Human Biology: The Official Publication of the American Association of Anthropological Genetics.

[16]  Y Saitsu,et al.  [Long-range world population projections: two centuries of population growth 1950-2150 prepared by the United Nations in 1992] , 1992 .

[17]  B. Wood Origin and evolution of the genus Homo , 1992, Nature.

[18]  R. Martin,et al.  The Cambridge encyclopedia of human evolution , 1994 .

[19]  G. I. Barenblatt,et al.  Similarity, Self-Similarity and Intermediate Asymptotics , 1979 .