Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/221702
Title: The Green Transition: Regional Vulnerability, Opportunity and Migration Evidence from a Nested Logit Model
Author: Marx, Yann
Director/Tutor: Royuela Mora, Vicente
Keywords: Gestió ambiental
Migració (Població)
Països de la Unió Europea
Treballs de fi de màster
Environmental management
Migration (Population)
European Union countries
Master's thesis
Issue Date: 2025
Abstract: The green transition, the European Union’s policy strategy to create a greener and more inclusive economy, is gaining momentum. How this transition unfolds across regions and affects mobility lacks evidence. This thesis investigates whether and how the green transition influences interregional migration within the European Union. By using individual-level data from the 2023 MOBI-TWIN survey and two constructed regional indices, the Green Transition Opportunity Index (GTOI) and the Green Transition Vulnerability Index (GTVI), we examine regional inequalities, realised migration and migration aspirations. The implementation of individual environmental preferences in the analysis gives a new perspective on how individual characteristics affect migration decisions. The results from conditional and nested logit models show that green opportunities tend to attract migrants. The green vulnerabilities show rather mixed results. The alignment between green preferences and migration choices is less straightforward. Environmentally conscious individuals do not always relocate to greener regions, clearly highlighting a potential gap between environmental values and actual behaviour.
Note: Treballs Finals del Màster d'Economia, Facultat d'Economia i Empresa, Universitat de Barcelona. Curs: 2024-2025, Tutor: Royuela Vicente
URI: https://hdl.handle.net/2445/221702
Appears in Collections:Màster Oficial - Economia

Files in This Item:
File Description SizeFormat 
TFM-ECO_Marx_2025.pdf3 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons