Inter-voivodship migration in Poland in the 2000–2020 period based on Markov chain analysis
Inter-voivodship migration in Poland in the 2000–2020 period based on Markov chain analysis
Author(s): Agnieszka Palma, Dorota Maria KAŁUŻA-KOPIASSubject(s): Economy
Published by: Główny Urząd Statystyczny
Keywords: inter-voivodship migration; Markov chain; random transition count; transition probability matrix;, stationary probability; mechanism of migration;
Summary/Abstract: The paper presents the scale and directions of inter-voivodship migration in Poland in selected years of the 2000–2020 period. The study focused on permanent residence migration and aimed to identify areas of migration attractiveness and migration catchment voivodships. To study the stochastic nature of these migrations, a Markov chain model was used, in which the states were voivodships. An important aspect of the study involved determining the properties of the transition probability matrix as well as stationary probability in order to characterise the mechanism of inter-voivodship migrations in the years 2000, 2010 and 2020. Data obtained from Statistics Poland were used in the analysis. The transition probability matrix showed that the states were connected and irreducible to each other, while the stationary probability of migration to Dolnos´ al˛skie, Małopolskie, Pomorskie, and Wielkopolskie voivodships increased in 2020 compared to 2000. The analysis of the mechanism of migration in the years 2000, 2010, 2020 indicated that Mazowieckie Voivodship was still the main destination for migrants, with the highest stationary probability reaching 0.18 in 2010.
Journal: Statistics in Transition. New Series
- Issue Year: 25/2024
- Issue No: 1
- Page Range: 93-107
- Page Count: 14
- Language: English