Intersectoral Labour Mobility in Europe as a Driver of Resilience and Innovation: Evidence from Granularity and Spatio-Temporal Modelling

dc.contributor.authorLincaru, Cristina
dc.contributor.authorPirciog, Camelia Speranta
dc.contributor.authorGrigorescu, Adriana
dc.contributor.authorMladen-Macovei, Luise
dc.date.accessioned2026-10-22T11:02:23Z
dc.date.available2026-10-22T11:02:23Z
dc.date.issued2025-11-18
dc.descriptionThis is an Open Access article under the CC-BY 4.0 license, available at: https://www.mdpi.com/2071-1050/17/22/10333 The author Grigorescu Adriana is affiliated to SNSPA, Faculty of Public Administration.
dc.description.abstractIntersectoral labour mobility is a key driver of economic resilience and innovation in Europe. The redistribution of workers across sectors and regions enables economies to adapt to shocks, create flexibility and increase the rate of structural change. However, the dynamics of mobility have not been adequately investigated across varying scales of sectoral granularity and spatio-temporal dimensions. This paper applies the Intersectoral Mobility Index (MI) to all European NUTS-2 areas from 2008 to 2020, utilising Eurostat Structural Business Statistics. Two levels of sectoral aggregation (NACE Rev. 2, 1-digit and 2-digit) are employed to compute MI, capturing both broad and fine-grained reallocations. Classical indices of structural change (NAV, Krugman, Shorrocks) are combined with spatio-temporal modelling in ArcGIS Pro, employing Space–Time Cubes, time-series exponential smoothing forecasts, time-series clustering and emerging hot spot analysis. Results indicate that MI distributions are positively skewed and heavy-tailed, with peaks coinciding with systemic crises (2009–2011, 2020). At the 2-digit level, MI values are significantly higher, revealing intra-sectoral changes obscured in aggregated data. A statistically significant downward trend in mobility suggests an increasing structural rigidity following the global financial crisis. Regional clustering highlights heterogeneity: a small number of regions, such as Bremen, Madeira and the Southern Great Plain, have sustained high or unstable mobility, while most exhibit convergent mobility and low reallocation. This paper contributes to the conceptualisation of MI as a dual measure of resilience and innovation preparedness. It underscores the importance of multi-scalar and spatio-temporal methods in monitoring labour market flexibility. The findings have policy implications, including the design of targeted reskilling programmes, proactive labour market policies and just transition plans to maintain regional resilience during the EU’s green and digital transitions.
dc.identifier.citationLincaru, C., Pirciog, C. S., Grigorescu, A., & Mladen-Macovei, L. (2025). Intersectoral Labour Mobility in Europe as a Driver of Resilience and Innovation: Evidence from Granularity and Spatio-Temporal Modelling. Sustainability, 17(22), 10333. https://doi.org/10.3390/su172210333
dc.identifier.issn2076-3387
dc.identifier.urihttps://doi.org/10.3390/su172210333
dc.identifier.urihttps://debdsfdi.snspa.ro/handle/123456789/1262
dc.language.isoen
dc.publisherMDPI
dc.subjectLabour market
dc.subjectIntersectoral mobility
dc.subjectStructural change
dc.subjectSectoral granularity
dc.subjectResilience
dc.subjectInnovation
dc.subjectSustainability
dc.titleIntersectoral Labour Mobility in Europe as a Driver of Resilience and Innovation: Evidence from Granularity and Spatio-Temporal Modelling
dc.typeArticle

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