Taylor’s law states that the variance of population density in a given set of areas is a power function of its mean. When the exponent is equal to 2, the distribution of population densities between areas remains unchanged; when it is less than 2, the distribution converges toward the uniform distribution; when it is greater than 2, the densities become increasingly different from each other over time. The exponent takes the value 2 for East Asia, the Pacific, and South Asia. It takes a value greater than 2 for sub-Saharan Africa because the ongoing demographic transition and intense urbanization are redistributing the population over the territories. The exponent is lower than 2 for the other regions of the world, which have completed their demographic transition and where the rural exodus has been completed.

Naccarato, A., Benassi, F. (2022). World population densities: convergence, stability, or divergence?. MATHEMATICAL POPULATION STUDIES, 29(1), 1-14 [10.1080/08898480.2020.1827854].

World population densities: convergence, stability, or divergence?

Naccarato A.
;
Benassi F.
2022-01-01

Abstract

Taylor’s law states that the variance of population density in a given set of areas is a power function of its mean. When the exponent is equal to 2, the distribution of population densities between areas remains unchanged; when it is less than 2, the distribution converges toward the uniform distribution; when it is greater than 2, the densities become increasingly different from each other over time. The exponent takes the value 2 for East Asia, the Pacific, and South Asia. It takes a value greater than 2 for sub-Saharan Africa because the ongoing demographic transition and intense urbanization are redistributing the population over the territories. The exponent is lower than 2 for the other regions of the world, which have completed their demographic transition and where the rural exodus has been completed.
2022
Naccarato, A., Benassi, F. (2022). World population densities: convergence, stability, or divergence?. MATHEMATICAL POPULATION STUDIES, 29(1), 1-14 [10.1080/08898480.2020.1827854].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11590/371343
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