Digitální knihovnaUPCE
 

Modelling innovation performance of European regions using multi-output neural networks

Článekpeer-reviewedpublished
Náhled

Datum publikování

2017

Vedoucí práce

Oponent

Název časopisu

Název svazku

Vydavatel

Public Library of Science

Abstrakt

Regional innovation performance is an important indicator for decision-making regarding the implementation of policies intended to support innovation. However, patterns in regional innovation structures are becoming increasingly diverse, complex and nonlinear. To address these issues, this study aims to develop a model based on a multi-output neural network. Both intra-and inter-regional determinants of innovation performance are empirically investigated using data from the 4th and 5th Community Innovation Surveys of NUTS 2 (Nomenclature of Territorial Units for Statistics) regions. The results suggest that specific innovation strategies must be developed based on the current state of input attributes in the region. Thus, it is possible to develop appropriate strategies and targeted interventions to improve regional innovation performance. We demonstrate that support of entrepreneurship is an effective instrument of innovation policy. We also provide empirical support that both business and government R&D activity have a sigmoidal effect, implying that the most effective R&D support should be directed to regions with below-average and average R&D activity. We further show that the multi-output neural network outperforms traditional statistical and machine learning regression models. In general, therefore, it seems that the proposed model can effectively reflect both the multiple-output nature of innovation performance and the interdependency of the output attributes.

Rozsah stran

p. nestránkováno

ISSN

1932-6203

Trvalý odkaz na tento záznam

Projekt

GA14-02836S/Modelování efektů přelévání znalostí v kontextu regionálního a místního rozvoje

Zdrojový dokument

PLoS One, volume 12, issue: 10

Vydavatelská verze

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0185755

Přístup k e-verzi

open access

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Klíčová slova

innovation, performance, region, neural network, inovace, výkonnost, region, neuronová síť

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