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Abstract
Panel data models are estimated to highlight the income-gap as a driver of individual de-cisions to migrate. This procedure allows to testing the hypothesis that the per capita income-gap of rural spaces along with the employment rate and aging explain the fall in the population of rural villages and the concentration of population in functional urban areas (FUA). First, using panel data models, the links between rural depopulation and the income-gap are estimated with data at the municipal level. Second, the effects of the European Structural and Investment Funds (ESIF) on the convergence of income levels for rural inhabitants are evaluat