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Sustainability 2018, 10(8), 2862; https://doi.org/10.3390/su10082862

Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions

1
Department of Industrial Engineering, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy
2
Department of Engineering, University of Naples Parthenope, Centro Direzionale Is. C4, 80143 Naples, Italy
3
Department of Industrial Engineering University of Naples Federico II, University of Naples Federico II, Piazzale Tecchio 80, 80125 Naples, Italy
*
Author to whom correspondence should be addressed.
Received: 13 July 2018 / Revised: 8 August 2018 / Accepted: 10 August 2018 / Published: 12 August 2018
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Abstract

This article proposes an agent-based model to support the development of self-sustaining regional innovation systems (RIS). The model is the base of a computational laboratory, CARIS (Complex Adaptive Regional Innovation System), which aims at evaluating the self-sustainability of RIS and at investigating what are the resources, competencies and mechanisms able to trigger powerful innovation and economic growth processes. Such a topic is particularly interesting for the so-called lagging regions, which, notwithstanding noticeable policy interventions, have been unable to significantly improve their innovation performances. Results of this study show that the exploration capacity, the propensity to cooperation, and the endowed competencies of actors belonging to a region could be considered as key aspects in affecting the regional innovation performance. This means that policy-makers should (i) incentivize investments in research and development activities both at the public and private levels; (ii) support public-private partnerships; (iii) enhance national and regional university systems; and (iv) increase the number of researchers employed both in the public and private sectors. In the next future, the CARIS laboratory could be adopted as policy support instrument to evaluate how much effective are current innovation policies and what are the most effective ones to reassess the current patterns. View Full-Text
Keywords: agent-based modelling; self-sustainability; complex adaptive systems; regional innovation systems; Europe agent-based modelling; self-sustainability; complex adaptive systems; regional innovation systems; Europe
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Ponsiglione, C.; Quinto, I.; Zollo, G. Regional Innovation Systems as Complex Adaptive Systems: The Case of Lagging European Regions. Sustainability 2018, 10, 2862.

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