1,721,147 research outputs found

    Productivity polarization across regions in Europe: The Role of Nonlinearities and Spatial dependence

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    The regional distribution of labor productivity in Western Europe is characterized by a core-periphery spatial pattern: high (low)-productivity regions are in a proximate relationship with other high (low)-productivity regions. Over the period 1980–2003, intradistribution dynamics has generated long-run multiple equilibria with the formation of two clubs of convergence. The observed dynamics can be only marginally explained by nonlinear (threshold) effects in the accumulation of physical capital. In contrast, the joint effect of spatial dependence and nonlinearities in growth behavior plays a key role in determining multiple equilibria and reinforcing polarization of labor productivity

    Regional Economic Growth in Europe: a Semiparametric Spatial Dependence Approach

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    In this article a semiparametric spatial Durbin model is employed to analyse the growth behaviour of 155 European regions in the period 1988–2000. This specification combines the semiparametric approach with the usual parametric spatial econometric technique to accommodate both spatial dependence and nonlinearities as suggested by recent neoclassical growth models with spatial technological interdependence. The results provide evidence of nonlinearities in the effect of initial per capita incomes and human capital investments. Moreover, the specification used allows identifying the effect of the interaction between the characteristics (initial conditions and structural variables) of each region and those of its neighbours. Finally, it shows some indication of global spillovers across-country and local spatial spillovers from domestic neighbours

    Export Behaviour of Italian Manufacturing Firms Over the Nineties: the Role of Innovation

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    This paper analyses the relationship between innovation and export behaviour of Italian manufacturing firms in different exchange rate regimes. The paper is based on a sample including firms which have carried out an innovative activity through R&D investments and/or investments in new plants or equipment. Export behaviour is defined in a dual way: as a probability for a firm to export and as the propensity to export for the exporting firms. An empirical model of the determinants of export behaviour is estimated using the Cragg’s specification of the Tobit model. The results suggest that innovation capabilities are very important competitive factors and help explain heterogeneity in export behaviour among Italian firms. However, the exchange rate devaluation reduces the importance of technological competitiveness in affecting exports because it allows also non-innovating firms to enter foreign markets. Moreover, once new firms have entered the market, they continue to be exporters also when the exchange rate returns to its previous level (hysteresis). The export intensity of innovating firms is systematically higher than that of non-innovating firms. The paper provides also specific evidence on export behaviour of firms localised in the south of the country (Mezzogiorno)

    Nonlinearities in Interregional Migration Behavior: Evidence from the United States

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    Traditional ‘‘Marshallian’’ theories predict a linear relationship between internal migration and regional wage differentials. Using panel data on gross place-to-place migration flows in the United States, we estimate a semiparametric version of the modified gravity model and find evidence of a nonlinear effect of wage differentials in line with alternative theories of interregional migration, including the ‘‘option value of waiting’’ theory, liquidity constraints, and wealth-conditioned immobility. Traditionally, the migration decision process is believed to be mainly composed of two criteria: ‘‘whether to move’’ and ‘‘where to move.’’ However, the empirical evidence of nonlinearity found in this study supports the potential presence of another important decision criterion, ‘‘when to move’’ on interregional migration

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

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    In this paper different conditional density estimators are employed to analyze the cross-sectional distribution dynamics of regional per-capita income 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, proposed by Hyndman et al. (1996), 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”). Moreover, an alternative graphical technique (more informative than the traditional contour plot) is applied to visualize conditional densities

    Acquisition Versus Greenfield Investment: the Location of Foreign Manufacturers in Italy

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    We investigate the location of FDI in Italy over the period 1988–1999. FDIs are measured through the frequencies of acquisitions and greenfield investments per province and sector, so count data models are applied. The results show that the location determinants strongly differ according to the foreign entry mode
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