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Related Concept Videos

Population Growth00:57

Population Growth

Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
Modeling with Differential Equations01:25

Modeling with Differential Equations

Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
Conservation of Declining Populations02:07

Conservation of Declining Populations

Conservation of declining population focuses on ways of detecting, diagnosing, and halting a population decline. The approach uses methods to prevent populations from going extinct.
Applications of Life Tables01:22

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Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
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Exponential Equations for Modeling Growth01:26

Exponential Equations for Modeling Growth

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Related Experiment Video

Updated: May 27, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

How a trend towards a stationary population affects consumer demand.

T J Espenshade

    Population Studies
    |November 19, 2011
    PubMed
    Summary

    Economists debated the economic impact of declining population growth during the 1930s Great Depression. John Maynard Keynes linked slower growth to economic stagnation, while others saw potential for improved living standards.

    Area of Science:

    • Economics
    • Demography

    Background:

    • The 1930s Great Depression saw declining population growth rates in industrial nations.
    • This coincided with high unemployment, prompting economic analysis of demographic trends.

    Purpose of the Study:

    • To analyze economists' views on the economic consequences of declining population growth during the 1930s.
    • To present contrasting perspectives on the economic effects of demographic shifts.

    Main Methods:

    • Review of economic theories and arguments from the 1930s.
    • Analysis of John Maynard Keynes' stagnation thesis.
    • Examination of alternative viewpoints, such as those of Thompson.

    Main Results:

    • John Maynard Keynes proposed that population growth stimulates investment demand.

    Related Experiment Videos

    Last Updated: May 27, 2026

    Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
    20:36

    Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

    Published on: July 4, 2007

  • Keynes argued that slower population growth could lead to economic stagnation.
  • A minority view suggested slower growth could improve living standards and education.
  • Conclusions:

    • Economic thought in the 1930s linked demographic trends to economic conditions.
    • Divergent theories existed regarding the impact of declining population growth on economies.