Twin Transition Attitudes and Regional Left‐Behindness: Unpacking the Drivers of Interregional Migration Intentions

Anastasia Panori, Elli Papastergiou, Tuomas Väisänen, Milad Malekzadeh and Olle Järv
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Anastasia Panori: School of Spatial Planning and Development, Aristotle University of Thessaloniki, Greece
Elli Papastergiou: School of Spatial Planning and Development, Aristotle University of Thessaloniki, Greece
Tuomas Väisänen: Department of Geosciences and Geography, University of Helsinki, Finland / Helsinki Institute of Urban and Regional Studies (Urbaria), University of Helsinki, Finland
Milad Malekzadeh: Department of Geosciences and Geography, University of Helsinki, Finland / Helsinki Institute of Urban and Regional Studies (Urbaria), University of Helsinki, Finland
Olle Järv: Department of Geosciences and Geography, University of Helsinki, Finland / Department of Geography, University of Tartu, Estonia

Social Inclusion, 2026, vol. 14

Abstract: This article investigates how individual attitudes toward the green and digital transitions, collectively referred to as the twin transition, and expressions of regional left‐behindness shape EU interregional migration intentions across different life domains. The study disaggregates migration intentions by motive, work, education, quality of life, and retirement, to better understand the interplay between personal values and regional structural conditions. The findings reveal that while traditional socio‐demographic characteristics remain strong predictors of work‐related migration intentions, green and digital attitudes significantly influence relocation intentions for education and quality‐of‐life reasons. Notably, individuals with strong green values are more likely to express intentions to move for quality‐of‐life reasons. Rural areas, in this case, are aligned with ecological lifestyles, whereas digital attitudes correlate with urban settlement preferences and, for retirees, confidence in relocating to digitally connected rural regions. Expressions of regional left‐behindness, such as economic decline, demographic ageing, and weak connectivity, act as structural push factors that differentially affect migration intentions. The analysis suggests that twin transition values function as behavioural primers which, combined with structural push or pull factors, guide individual intentions and reveal how unequal capacities to adapt to digital and green transitions shape migration intentions.

Keywords: digital transformation; green transition; left‐behind areas; migration; twin transition (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:cog:socinc:v14:y:2026:a:11543

DOI: 10.17645/si.11543

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