1,721,042 research outputs found
The Location Determinants of Foreign-Owned Manufacturing Plants in Italy: Preliminary Results
This paper analyses the locational determinants of FDI inflows
in Italy. Given the discrete nature of the data (count data), a random-
effect negative binomial-regression model is used to test the a
priori expectations on the locational determinants of FDI inflows.
The results show that the number of new foreign entrants is fostered
by the following provincial characteristics: level of infrastructure,
demand level, education attainment and prior concentration
of manufacturing plants (in particular, of foreign-owned
manufacturing plants). The results also confirm that a high labour
cost hinders foreign entry
Innovazione tecnologica e strategie organizzative delle imprese nell’industria manifatturiera italiana?
L’internazionalizzazione del Mezzogiorno dal 1970 ad oggi: tra subordinazione e riscatto
Intra-distribution dynamics of regional per-capita income in Europe: evidence from alternative conditional density estimators
This paper compares different conditional density stimators to analyze the cross-sectional distribution dynamics of regional per-capita incomes in Europe during the period 1980-2002. First, a kernel estimator with fixed bandwidth (the method traditionally
applied in the literature on intra-distribution dynamics) gives evidence of convergence.
With a modified estimator with variable bandwidth and mean-bias correction, the dominant income dynamics is that of persistence and lack of cohesion: only a fraction of very poor regions improves its position over time converging towards a low relative income (“poverty
trap”). An alternative graphical technique (more informative than the traditional contour
plot) is also proposed to visualize conditional densities. Finally, a first-order spatial
autoregressive model is applied to estimate the effect of spatial dependence on the evolution of income distribution
The Location Determinants of Foreign-Owned Manufacturing Plants in Italy: Preliminary Results
This paper analyses the locational determinants of FDI inflows
in Italy. Given the discrete nature of the data (count data), a random-
effect negative binomial-regression model is used to test the a
priori expectations on the locational determinants of FDI inflows.
The results show that the number of new foreign entrants is fostered
by the following provincial characteristics: level of infrastructure,
demand level, education attainment and prior concentration
of manufacturing plants (in particular, of foreign-owned
manufacturing plants). The results also confirm that a high labour
cost hinders foreign entry
Innovazione e propensione ad esportare delle imprese italiane e il ruolo del Mezzogiorno
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