Marginalised Zones As Statistical Instruments To Navigate Permacrisis Impacts In European Regions
Loading...
Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
Hellenic Association of Regional Scientists
Abstract
In the context of overlapping and interrelated crises—economic, ecological, social, and geopolitical—European regions are confronted with new governance challenges. Marginalised zones, often treated as residual spaces in policy discourse, must be reimagined as analytical and governance instruments in the transition toward sustainability and territorial resilience. This article explores how marginalised areas can be conceptualised and operationalised through spatial statistical methodologies and policy frameworks that support just transition processes. Drawing on a critical review of empirical studies and strategic European and Romanian documents, we synthesise the main tools used to identify territorial disparities, such as Principal Component Analysis (PCA), clustering algorithms, fuzzy logic, spatial econometrics, and machine learning. We confirm that these methods allow for more nuanced territorial diagnostics and typologies, which are essential for evidence-based and place-based policies. The article advances a transdisciplinary framework that repositions marginalised zones as strategic levers in adaptive territorial governance. Ultimately, we argue for a paradigm shift: from periphery to policy, where marginalised regions evolve from passive recipients of aid to active instruments of just transition.
Description
This is an Open Access article under the CC-By 4.0 license available at: https://www.rsijournal.eu/ARTICLES/June_2025/09.pdf
The author Grigorescu Adriana is affiliated to SNSPA, Faculty of Public Administration.
Keywords
Marginalised regions, Clustering, Permacrisis, Territorial resilience, Governance instruments
Citation
Lincaru, C., Tudose, G., Grigorescu, A., Pîrciog, S., & Stroe, C. (2025). Marginalised Zones As Statistical Instruments To Navigate Permacrisis Impacts In European Regions. Regional Science Inquiry, 17(1), 155-165. https://rsijournal.eu/?m=202506