DETERMINANTS OF REGIONAL COMPETITIVENESS IN ROMANIA - A PANEL DATA APPROACH
Autor (i): Mihaela-Nona, Chilian Mihaela, Simionescu Marioara, Iordan
Cuvinte cheie: competitiveness, panel, dynamic panel, GDP, Moran?s I index
Abstract:
In this study, a few panel data models were estimated to analyze the regional competitiveness in the 42 counties (including Bucharest) of Romania. The dynamic panel with Arellano–Bover/Blundell–Bond estimators and robust standard errors showed that during 2000-2012 the GDP in the current period depends on the average number of employees and on the GDP value of the previous period. For a fixed effect model, 34.41% (Rho) of the total variation is due to the differences within the counties. The Moran’s I index in 2000 is negative and close to zero (0.035) suggesting a negative but non-significant spatial autocorrelation. In 2012, the Moran I’s suggests a positive and non-significant spatial auto-correlation.
In this study, a few panel data models were estimated to analyze the regional competitiveness in the 42 counties (including Bucharest) of Romania. The dynamic panel with Arellano–Bover/Blundell–Bond estimators and robust standard errors showed that during 2000-2012 the GDP in the current period depends on the average number of employees and on the GDP value of the previous period. For a fixed effect model, 34.41% (Rho) of the total variation is due to the differences within the counties. The Moran’s I index in 2000 is negative and close to zero (0.035) suggesting a negative but non-significant spatial autocorrelation. In 2012, the Moran I’s suggests a positive and non-significant spatial auto-correlation.
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