49 research outputs found

    Human capital and "club convergence" in Italian regions

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    The aim of the study is to investigate the presence of ñ€Ɠconvergence clubsñ€ among Italian regions applying the stochastic notion of convergence. Regions are sorted according to some human capital accumulation indicators using the Classification and Regression Tree Analysis (CART). The analysis evidences a strong stochastic convergence process which characterizes all the regions suggesting the presence of different growth patterns. Furthermore, results seem to highlight that human capital accumulation favours regional growth particularly in initially ñ€Ɠbackwardsñ€ regions.

    A new approach for ÎČ-convergence estimation in Italy

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    In this paper we test the presence of ÎČ-convergence among Italian regions, in the period 1980-2003, in presence of a trend break in the series following a new approach (Vogelsang and Tomljanovich, 2002). The break year is considered either known (1992) and endogenously estimated from the data. When we consider a known trend break date model the results evidence the presence of a convergence process for most of the Italian regions in the considered period. The outcome relative to the unknown break date model, on the contrary, strongly depend on the econometric model used to estimate the ÎČ-convergence.ÎČ-convergence regional convergence

    Regional convergence in Italy: time series approaches

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    This paper investigates the evolution of the gap between Italian regions and Italy as a whole during the period 1980-2007. We tested for the presence of the stochastic and ÎČ-convergence hypotheses using different time series approaches. The former was studied, first, for all the sample period and then, with an exogenous instantaneous break in the series. The presence of ÎČ-convergence, instead, was estimated considering a known and an unknown trend break date model. Our results show that most of the regions does not converge in an “actual” way, since they do not present a stochastic and ÎČ convergence simultaneously.ÎČ-convergence; stochastic convergence; time series approach; regional convergence

    Specialization and growth in Italy: what spatial econometric analysis tells us.

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    This paper investigates the determinants of Italian regional specialization in the period 1995-2006. In particular, it tests and evaluates the presence of spatial autocorrelation in sectoral specialization patterns by the use of spatial econometrics tools. Results show positive effects of neighbouring regions specialization for advanced industry and services sectors and hence a progressive synchronization of economic cycles. By contrast, sectors traditionally considered backward, evidence the presence of a core-periphery structure. The introduction of spatial effects in the general regression model increases the number of significant explicative variables. In accordance with the findings from New Economic Geography openness and market access positively affect regional specialization in most of the considered sectors.Specialization, Regional growth, Spatial Econometrics.
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