<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Spatial data analysis approaches have grown in popularity in recent years as there has been an increased interest in studying migration at the regional level. We employed in our analysis the Nomenclature of Territorial Units for Statistics (NUTS) level, which offers a more thorough view of migratory patterns inside a nation as well as among EU countries.Using spatial data analytic tools, this research aims to investigate the key determinants of international migration at the NUTS2 level. Using data from the Eurostat database, we undertake an extensive analysis of migration movements in a sample of European Union countries. We apply spatial econometric models to examine the relationship between crude rate migration and other relevant variables as independent variables. Although the available data at the NUTS2 level of regional ranking are limited, we believe that we included the most comprehensive set of relevant variables in our analysis.Our study contributes to the existing literature on migration determinants by highlighting the importance of spatial analysis techniques in understanding migration factors at the NUTS2 level.</p>
</abstract>

Spatial data analysis approaches have grown in popularity in recent years as there has been an increased interest in studying migration at the regional level. We employed in our analysis the Nomenclature of Territorial Units for Statistics (NUTS) level, which offers a more thorough view of migratory patterns inside a nation as well as among EU countries.Using spatial data analytic tools, this research aims to investigate the key determinants of international migration at the NUTS2 level. Using data from the Eurostat database, we undertake an extensive analysis of migration movements in a sample of European Union countries. We apply spatial econometric models to examine the relationship between crude rate migration and other relevant variables as independent variables. Although the available data at the NUTS2 level of regional ranking are limited, we believe that we included the most comprehensive set of relevant variables in our analysis.Our study contributes to the existing literature on migration determinants by highlighting the importance of spatial analysis techniques in understanding migration factors at the NUTS2 level.

Mapping and modelling the main determinants of Migration Flows at the NUTS2 Level in European Union using Spatial Data Analysis Techniques

Management & Marketing

This work is licensed under the Creative Commons Attribution 4.0 International License.

Spatial data analysis approaches have grown in popularity in recent years as there has been an increased interest in studying migration at the regional level....

Mapping and modelling the main determinants of Migration Flows at the NUTS2 Level in European Union using Spatial Data Analysis Techniques

Publié en ligne: 02 janv. 2024

Pages: 594 - 607

DOI: https://doi.org/10.2478/mmcks-2023-0032

Mots clés
spatial analysis, spatial econometrics, spatial distribution, European Union, NUTS level, migration

© 2023 Elena-Maria Prada et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mapping and modelling the main determinants of Migration Flows at the NUTS2 Level in European Union using Spatial Data Analysis Techniques

Publié en ligne: 02 janv. 2024

Pages: 594 - 607

DOI: https://doi.org/10.2478/mmcks-2023-0032

Mots clésspatial analysis, spatial econometrics, spatial distribution, European Union, NUTS level, migration

© 2023 Elena-Maria Prada et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
spatial analysis, spatial econometrics, spatial distribution, European Union, NUTS level, migration