[PDF][PDF] Determinants of regional competitiveness in Romania-A panel data approach
C Mihaela-Nona, S Mihaela… - Management Strategies …, 2014 - researchgate.net
C Mihaela-Nona, S Mihaela, M Iordan
Management Strategies Journal, 2014•researchgate.netIn 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 …
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 …
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.
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