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The triple helix in developed countries: when knowledge meets innovation?()

This paper deals with innovation viewed through the triple helix model as a milestone in the contemporary society of knowledge-based economies. Our goal is to empirically investigate the (in)efficient utilisation of academia, industry and government as three helices in order to boost innovations. Th...

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Autores principales: Fidanoski, Filip, Simeonovski, Kiril, Kaftandzieva, Tamara, Ranga, Marina, Dana, Leo-Paul, Davidovic, Milivoje, Ziolo, Magdalena, Sergi, Bruno S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421193/
https://www.ncbi.nlm.nih.gov/pubmed/36046530
http://dx.doi.org/10.1016/j.heliyon.2022.e10168
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author Fidanoski, Filip
Simeonovski, Kiril
Kaftandzieva, Tamara
Ranga, Marina
Dana, Leo-Paul
Davidovic, Milivoje
Ziolo, Magdalena
Sergi, Bruno S.
author_facet Fidanoski, Filip
Simeonovski, Kiril
Kaftandzieva, Tamara
Ranga, Marina
Dana, Leo-Paul
Davidovic, Milivoje
Ziolo, Magdalena
Sergi, Bruno S.
author_sort Fidanoski, Filip
collection PubMed
description This paper deals with innovation viewed through the triple helix model as a milestone in the contemporary society of knowledge-based economies. Our goal is to empirically investigate the (in)efficient utilisation of academia, industry and government as three helices in order to boost innovations. Therefore, we construct a sample of 30 developed OECD countries with data covering the period from 2006 to 2018 and set up an input-oriented BCC data envelopment analysis that employs variables with non-negative average values over the entire period to calculate their efficiency scores. Our estimates from the radial models show that countries could reduce their inputs by a mean value of 11.9 per cent and keep their level of innovations in the triple helix model and by a mean of 5.8 per cent on average in the extended quintuple helix model. We find higher total inefficiencies in the non-radial models, which amount to 25.3 per cent on average in the triple helix model and 21.8 per cent on average in the quintuple helix model. The breakdown of the inefficiency score for different inputs reveals that countries have the largest potential for reducing CO(2) emissions and the least room to reduce the Education Index and Civil Society Participation.
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spelling pubmed-94211932022-08-30 The triple helix in developed countries: when knowledge meets innovation?() Fidanoski, Filip Simeonovski, Kiril Kaftandzieva, Tamara Ranga, Marina Dana, Leo-Paul Davidovic, Milivoje Ziolo, Magdalena Sergi, Bruno S. Heliyon Research Article This paper deals with innovation viewed through the triple helix model as a milestone in the contemporary society of knowledge-based economies. Our goal is to empirically investigate the (in)efficient utilisation of academia, industry and government as three helices in order to boost innovations. Therefore, we construct a sample of 30 developed OECD countries with data covering the period from 2006 to 2018 and set up an input-oriented BCC data envelopment analysis that employs variables with non-negative average values over the entire period to calculate their efficiency scores. Our estimates from the radial models show that countries could reduce their inputs by a mean value of 11.9 per cent and keep their level of innovations in the triple helix model and by a mean of 5.8 per cent on average in the extended quintuple helix model. We find higher total inefficiencies in the non-radial models, which amount to 25.3 per cent on average in the triple helix model and 21.8 per cent on average in the quintuple helix model. The breakdown of the inefficiency score for different inputs reveals that countries have the largest potential for reducing CO(2) emissions and the least room to reduce the Education Index and Civil Society Participation. Elsevier 2022-08-12 /pmc/articles/PMC9421193/ /pubmed/36046530 http://dx.doi.org/10.1016/j.heliyon.2022.e10168 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Fidanoski, Filip
Simeonovski, Kiril
Kaftandzieva, Tamara
Ranga, Marina
Dana, Leo-Paul
Davidovic, Milivoje
Ziolo, Magdalena
Sergi, Bruno S.
The triple helix in developed countries: when knowledge meets innovation?()
title The triple helix in developed countries: when knowledge meets innovation?()
title_full The triple helix in developed countries: when knowledge meets innovation?()
title_fullStr The triple helix in developed countries: when knowledge meets innovation?()
title_full_unstemmed The triple helix in developed countries: when knowledge meets innovation?()
title_short The triple helix in developed countries: when knowledge meets innovation?()
title_sort triple helix in developed countries: when knowledge meets innovation?()
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421193/
https://www.ncbi.nlm.nih.gov/pubmed/36046530
http://dx.doi.org/10.1016/j.heliyon.2022.e10168
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