A Numerical Method for Analyzing the Effects of Migration on Regional Population Change

Migration is a crucial determinant in regional population dynamics, influencing demographic equilibrium, labor market structure, and socio-economic development. This paper presents a numerical methodology to quantify and analyze the effects of migration on regional population change using a mathematically formalized model integrating partial differential equations (PDE), numerical interpolation, and validated datasets from international population databases. The methodological framework is structured upon the spatial-temporal population balance equation, discretized via finite difference methods (FDM). An empirical application based on Eurostat’s migration and population dataset (2000–2020) evaluates the model’s effectiveness across selected European regions. The model reveals that net migration, even when marginal, exhibits nonlinear amplification effects on population projections over time due to feedback mechanisms in birth-death dynamics. The numerical simulations validate the sensitivity of regional populations to migratory trends, offering a precise computational lens for demographers and policymakers alike.This work is motivated by the work of [33-53]).

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.52783/ijm.v19.1867
Primary Topic
Regional Socio-Economic Development Trends
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Numerical Method for Analyzing the Effects of Migration on Regional Population Change

Regional Socio-Economic Development Trends
article

A Numerical Method for Analyzing the Effects of Migration on Regional Population Change

article en

Abstract

Migration is a crucial determinant in regional population dynamics, influencing demographic equilibrium, labor market structure, and socio-economic development. This paper presents a numerical methodology to quantify and analyze the effects of migration on regional population change using a mathematically formalized model integrating partial differential equations (PDE), numerical interpolation, and validated datasets from international population databases. The methodological framework is structured upon the spatial-temporal population balance equation, discretized via finite difference methods (FDM). An empirical application based on Eurostat’s migration and population dataset (2000–2020) evaluates the model’s effectiveness across selected European regions. The model reveals that net migration, even when marginal, exhibits nonlinear amplification effects on population projections over time due to feedback mechanisms in birth-death dynamics. The numerical simulations validate the sensitivity of regional populations to migratory trends, offering a precise computational lens for demographers and policymakers alike.This work is motivated by the work of [33-53]).

Reduced inequalities
Openalex Percentile: Top 77%
Regional Socio-Economic Development Trends
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.