In: Ekonomický časopis/Journal of Economics, vol. 66, no. 7
Gratiela Georgiana Noja - Mirela Cristea
Detaily:
Rok, strany: 2018, 719 - 749
Jazyk: eng
Kľúčové slová:
working conditions, flexicurity, economic growth, welfare, labor market, cluster analysis, structural equations modelling (SEM);
JEL Classification: J81, J28, O47
Typ článku: Vedecký / Article
O článku:
The paper aims to design a general assessment framework of working conditions in Europe and associated flexicurity measures, as main drivers of economic growth. We focused on a panel of EU-28 MS and on a sub-panel of 10 CEE countries. First, we conducted a complex cluster analysis based on the Ward method and Euclidian distance that allowed for a proper grouping of EU-28 MS according to the three job quality indices. Second, we configured two SEM models that capture the impact of working conditions and flexicurity measures on labor productivity and economic output. The results highlight that CEE countries have a less flexible working program compared to the other MS. The estimations for flexicurity and job quality interdependencies reveal important positive contributions of the working dimensions and external numerical flexibility credentials to labor productivity, GDP per capita, and a reduction of the poverty risk.
The paper aims to design a general assessment framework of working conditions in Europe and associated flexicurity measures, as main drivers of economic growth. We focused on a panel of EU-28 MS and on a sub-panel of 10 CEE countries. First, we conducted a complex cluster analysis based on the Ward method and Euclidian distance that allowed for a proper grouping of EU-28 MS according to the three job quality indices. Second, we configured two SEM models that capture the impact of working conditions and flexicurity measures on labor productivity and economic output. The results highlight that CEE countries have a less flexible working program compared to the other MS. The estimations for flexicurity and job quality interdependencies reveal important positive contributions of the working dimensions and external numerical flexibility credentials to labor productivity, GDP per capita, and a reduction of the poverty risk.
Ako citovať:
ISO 690:
Noja, G., Cristea, M. 2018. Working Conditions and Flexicurity Measures as Key Drivers of Economic Growth: Empirical Evidence for Europe. In Ekonomický časopis/Journal of Economics, vol. 66, no.7, pp. 719-749. 0013-3035.
APA:
Noja, G., Cristea, M. (2018). Working Conditions and Flexicurity Measures as Key Drivers of Economic Growth: Empirical Evidence for Europe. Ekonomický časopis/Journal of Economics, 66(7), 719-749. 0013-3035.
O vydaní:
Vydavateľ: Ekonomický ústav SAV a Prognostický ústav CSPV SAV
Publikované: 21. 8. 2018