Investigating space-time patterns of regional industrial resilience through a micro-level approach: An application to the Italian wine industry

This paper introduces a new methodology to identify space-time patterns of regional resilience using a micro-level approach. The novel empirical tool combines geographically weighted regression with panel stochastic frontier analysis with endogenous covariates. The analysis is implemented on a panel of farm holdings operating in the Italian wine industry, focusing on the impact of a major institutional change. The results show the effectiveness of the new procedure in identifying geographical clusters of wine producers who reacted to the shock in similar ways. The responses are found to be homogeneous within specific territories and heterogeneous between regions.