The Europe 2020 strategy is the EU program to support the growth and the occupation within 2020. About the economic growth, one of the three essential pursued priorities is the inclusiveness. In the year of its expiration, this contribution provides an exploratory analysis to verify the presence of an inclusive economic growth in some European countries. This study proposes an innovative approach based on trajectory analysis showing the dynamics of employment and well-being using a set of economic indicators for a 25-years period from 1995 to 2019. The obtained results have been compared to the economic models and social inclusion measures of 8 selected countries. The proposed methodology in this study is an approach for three-way data based on principal component analysis. In the two-dimension plan obtained by this method, it is possible to visualize a couple of coordinate for each year and each country. The union of these coordinates draws a single trajectory for each country defining the route across the period. Preliminary results have shown a lack of homogeneity in the conomic growth and only in some cases, this dynamic could be targeted as inclusive.

Mariani, P., Marletta, A., Mussini, M. (2020). Searching for inclusiveness: a comparison among European trajectories. Intervento presentato a: Data Science and Social Research 2020, Bari.

Searching for inclusiveness: a comparison among European trajectories

Mariani, P;Marletta, A
;
Mussini, M
2020

Abstract

The Europe 2020 strategy is the EU program to support the growth and the occupation within 2020. About the economic growth, one of the three essential pursued priorities is the inclusiveness. In the year of its expiration, this contribution provides an exploratory analysis to verify the presence of an inclusive economic growth in some European countries. This study proposes an innovative approach based on trajectory analysis showing the dynamics of employment and well-being using a set of economic indicators for a 25-years period from 1995 to 2019. The obtained results have been compared to the economic models and social inclusion measures of 8 selected countries. The proposed methodology in this study is an approach for three-way data based on principal component analysis. In the two-dimension plan obtained by this method, it is possible to visualize a couple of coordinate for each year and each country. The union of these coordinates draws a single trajectory for each country defining the route across the period. Preliminary results have shown a lack of homogeneity in the conomic growth and only in some cases, this dynamic could be targeted as inclusive.
abstract + slide
inclusive growth, dynamic factorial analysis, Europe 2020, principal component analysis, time trajectory
English
Data Science and Social Research 2020
2020
Mariani, P; Marletta, A; Mussini, M
2020
open
Mariani, P., Marletta, A., Mussini, M. (2020). Searching for inclusiveness: a comparison among European trajectories. Intervento presentato a: Data Science and Social Research 2020, Bari.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/307348
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