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Lookup NU author(s): Professor Giorgio Fazio
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
© 2022 Elsevier Inc. Recent regional studies have taken a micro-founded perspective to uncover the influence of the external environment on the firm-level innovative performance. Despite the marked spatial disparities, there is a general lack of recent evidence on Italian regional innovation from a micro perspective. This paper fills this gap in the evidence base by estimating regional Knowledge Production Functions using Italian micro-data collected in the Community Innovation Survey. In particular, here we focus on the regional differences in the relationship between innovative inputs and outputs and on the ability of firms to absorb external knowledge. This analysis allows us to outline different regional innovative profiles in Italy.
Author(s): Aronica M, Fazio G, Piacentino D
Publication type: Article
Publication status: Published
Journal: Technological Forecasting and Social Change
Year: 2022
Volume: 176
Print publication date: 01/03/2022
Online publication date: 18/01/2022
Acceptance date: 07/01/2022
Date deposited: 06/04/2022
ISSN (print): 0040-1625
ISSN (electronic): 1873-5509
Publisher: Elsevier Inc.
URL: https://doi.org/10.1016/j.techfore.2022.121494
DOI: 10.1016/j.techfore.2022.121494
ePrints DOI: 10.57711/pbw4-3v42
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