首页|A longitudinal analysis of local innovation in Italy: How do proximity measures matter?
A longitudinal analysis of local innovation in Italy: How do proximity measures matter?
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Taylor & Francis
This paper investigates the factors influencing local innovation from a longitudinal perspective while assessing geographical, economic and technological proximity. The research hypotheses concern spatial interactions, spillover effects and proximity measures that best fit innovation patterns and territorial interactions in Italy. The estimation strategy is the spatial Durbin panel model. The optimal specification to handle cross-sectional dependence in the data was derived from statistical tests evaluating (ⅰ) individual-specific effects, (ⅱ) time-specific effects and (ⅲ) both individual and time effects. The model was estimated using data from 107 Italian provinces over 2010-2019. The results show that both endogenous and exogenous interaction effects drive innovation processes and the underlying spillovers are global. Economic proximity explains local innovation patterns more effectively than geographical contiguity and technological proximity.
Local innovationknowledge productionspatial panel modelspatial spillover
Emma Bruno、Rosalia Castellano、Gennaro Punzo
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Department of Methods and Models for Economics, Territory and Finance, Sapienza University of Rome, Rome, Italy
Department of Management and Quantitative Studies, University of Naples Parthenope, Naples, Italy
Department of Economic and Legal Studies, University of Naples Parthenope, Naples, Italy
NETL
NSTL
Taylor & Francis
