Πως επηρεάζουν τα γεωχωρικά δεδομένα, οι οικονομικοί δείκτες και το ανθρώπινο κεφάλαιο τη χωρική-οικονομική ανθεκτικότητα στην Αττική

Κοτεκίδου, Χριστίνα

How geospatial data, economic indicators and human capital affect spatial-economic resilience in Attica

Master Thesis

Author

Κοτεκίδου, Χριστίνα

Date

2026-07

Abstract

This study examines how geospatial characteristics, economic structure, and human capital are linked to the spatial-economic resilience of the 66 municipalities of Attica during the period 2011–2021. Data from ELSTAT’s Population and Housing Censuses and Eurostat GISCO’s LAU geometries are utilized. Resilience is measured using a composite index that combines changes in employment, the economically active population, and unemployment. The analysis includes descriptive statistics, mapping, Global Moran’s I, LISA, OLS models with HC3 robust errors, and spatial SAR and SEM models. Between 2011 and 2021, the population of Attica decreased by 0.38%, while employment increased by 8.30% and unemployment fell from 18.03% to 12.47%. However, these changes varied significantly among central, peri-urban, and island municipalities. The resilience index exhibited positive spatial autocorrelation (Moran’s I = 0.371), with clusters of high values primarily along western and eastern suburban corridors and low values in island municipalities. The basic OLS model explained 35.2% of the variance but exhibited heteroscedasticity and spatially correlated residuals. Initial density had the strongest negative relationship with recovery. SAR and SEM improved the fit and eliminated residual spatial dependence, while the results for economic concentration and education proved to be specification-sensitive. It is concluded that resilience is spatially heterogeneous and interdependent; therefore, targeted, intermunicipal coordinated policies are required. The study contributes to the municipal measurement of resilience by combining GIS, composite indices, and spatial econometrics. The findings are interpreted as correlations, because the two cross-sectional datasets, spatial aggregation, and proxy variables do not allow for reliable causal conclusions.

Postgraduate Studies Programme

Οικονομική και Επιχειρησιακή Στρατηγική

Department

Σχολή Οικονομικών, Επιχειρηματικών και Διεθνών Σπουδών. Τμήμα Οικονομικής Επιστήμης

Number of pages

111

Language

Greek

URI

https://dione.lib.unipi.gr/xmlui/handle/unipi/19665

Collections

Τμήμα Οικονομικής Επιστήμης

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Except where otherwise noted, this item's license is described as
Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα