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Investigating space‐time patterns of regional industrial resilience through a micro‐level approach: An application to the Italian wine industry
Author(s) -
Canello Jacopo,
Vidoli Francesco
Publication year - 2020
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/jors.12480
Subject(s) - wine , stochastic frontier analysis , panel data , homogeneous , covariate , resilience (materials science) , econometrics , frontier , psychological resilience , shock (circulatory) , space (punctuation) , economic geography , computer science , regional science , industrial organization , business , economics , geography , mathematics , microeconomics , production (economics) , medicine , psychology , physics , operating system , archaeology , combinatorics , optics , thermodynamics , psychotherapist
Abstract 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.