1,721,042 research outputs found

    The Location Determinants of Foreign-Owned Manufacturing Plants in Italy: Preliminary Results

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    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

    Intra-distribution dynamics of regional per-capita income in Europe: evidence from alternative conditional density estimators

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    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

    No full text
    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
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