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

Prada Elena-Maria () and Cimpoeru Smaranda ()
Additional contact information
Prada Elena-Maria: Bucharest University of Economic Studies, Bucharest, Romania
Cimpoeru Smaranda: Bucharest University of Economic Studies, Bucharest, Romania

Management & Marketing, 2023, vol. 18, issue 4, 594-607

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.

Keywords: spatial analysis; spatial econometrics; spatial distribution; European Union; NUTS level; migration (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/mmcks-2023-0032 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:manmar:v:18:y:2023:i:4:p:594-607:n:6

DOI: 10.2478/mmcks-2023-0032

Access Statistics for this article

Management & Marketing is currently edited by Alina Mihaela Dima

More articles in Management & Marketing from Sciendo
Bibliographic data for series maintained by Peter Golla ().