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The spatial components of demographic change.

D Campisi

    Environment & Planning A
    |April 1, 1986
    PubMed
    Summary

    Declining fertility rates in developed nations are analyzed using perturbation theory for multiregional population models. This approach reveals how demographic changes significantly impact population distribution and growth dynamics over time.

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    Area of Science:

    • Demography
    • Population Dynamics
    • Mathematical Modeling

    Background:

    • Fertility rates in developed countries have significantly declined, approaching replacement levels.
    • Changes in demographic rates increasingly influence population system dynamics.
    • Understanding population dynamics is crucial for policy-making and resource allocation.

    Purpose of the Study:

    • To analyze the dynamics of multiregional populations experiencing perturbations.
    • To introduce a perturbation theory for population models.
    • To demonstrate the impact of changing demographic rates on spatial population growth.

    Main Methods:

    • Development of a perturbation theory for multiregional population models.
    • Analysis of population dynamics under occasional social and economic condition changes.
    Keywords:
    Demographic FactorsDemographyDeveloped CountriesEconomic Conditions--changesEconomic FactorsEuropeFertilityGeographic FactorsItalyMacroeconomic FactorsMediterranean CountriesModels, TheoreticalPopulationPopulation DynamicsPopulation TheoryResearch MethodologySocial SciencesSocioeconomic FactorsSouthern EuropeSpatial DistributionTheoretical Studies

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  • Application of the theory to Italian demographic data for short- and long-term effect analysis.

    • Main Results:

    • Perturbations can lead to drastic demographic changes, particularly in critical situations.
    • Changes in demographic rates have an increasing effect on the spatial component of multiregional population growth.
    • The perturbation theory effectively analyzes both short- and long-term effects of vital rate changes.

    Conclusions:

    • Perturbation theory provides a valuable framework for understanding population dynamics amidst changing conditions.
    • Demographic rate changes are critical drivers of spatial population redistribution.
    • The study highlights the importance of considering perturbations in population modeling for accurate forecasting.