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Keyfitz Entropy×稳定人口理论×
领域人口学人口学
方法族Process / pipelineRegression model
起源年份19771972
提出者Nathan KeyfitzAlfred J. Lotka; Ansley Coale
类型Elasticity of life expectancy to proportional mortality change / lifespan dispersion measureMathematical demographic model
开创性文献Keyfitz, N. (1977). Applied Mathematical Demography. John Wiley & Sons, New York. ISBN: 9780471473503Coale, A. J. (1972). The Growth and Structure of Human Populations: A Mathematical Investigation. Princeton University Press. ISBN: 978-0-691-09357-4
别名Life-Table Entropy, Keyfitz-Leser Entropy, Entropy of the Survival CurveLotka-Coale Stable Population Model, Stable Age Distribution Theory, Stationary Population Theory, Kararlı Nüfus Teorisi
相关42
摘要Keyfitz's entropy, usually written H, is a dimensionless summary of a life table that measures how sensitive life expectancy is to a proportional change in mortality, and equivalently how unequal the distribution of ages at death is. Introduced by Nathan Keyfitz, it is the elasticity of life expectancy at birth with respect to the force of mortality: an H near one means deaths are spread across all ages so that reducing mortality everywhere lengthens life proportionally, while an H near zero means deaths are concentrated near the maximum lifespan so further mortality reductions yield little gain. It bridges the demography of survival and the broader study of lifespan inequality.Stable Population Theory is a mathematical framework in demography that describes the age structure and growth dynamics of a closed population subject to constant age-specific fertility and mortality schedules over a long period. Foundational work by Alfred J. Lotka established the core integral equation in the early twentieth century, and Ansley Coale's 1972 mathematical synthesis became the definitive theoretical reference, showing that any population exposed to invariant vital rates will converge to a unique stable age distribution growing at a fixed intrinsic rate of natural increase.
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ScholarGate方法对比: Keyfitz Entropy · Stable Population Theory. 于 2026-06-24 检索自 https://scholargate.app/zh/compare