Variety, Smart Specialization and Tourism Competitiveness

This work analyzes how regional tourism dynamics (demand, supply and specialization) and innovation performance may influence tourism competitiveness. The novelty and originality of the analysis is the inclusion of aspects related to the sectorial priority options defined within smart specialization...

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Main Author: João Romão
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/14/5765
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spelling doaj-64b2a0c46d454851b87955c7f7969e132020-11-25T03:16:34ZengMDPI AGSustainability2071-10502020-07-01125765576510.3390/su12145765Variety, Smart Specialization and Tourism CompetitivenessJoão Romão0Department of International Tourism and Business, Yasuda Women’s University, Hiroshima 7300000, JapanThis work analyzes how regional tourism dynamics (demand, supply and specialization) and innovation performance may influence tourism competitiveness. The novelty and originality of the analysis is the inclusion of aspects related to the sectorial priority options defined within smart specialization strategies in European regions as potential explanatory factors. By using a panel data model and focusing on regions where tourism is one of the priority sectors for Regional Innovation Strategies (RIS3, 2014–2020), the results reveal positive impacts of tourism demand, supply and specialization on the value added produced by tourism activities. Moreover, immaterial aspects related to the qualification of the regional labor force and innovation dynamics (investment in research in development) also exert a positive impact on tourism competitiveness. The novel results obtained regarding the impacts of smart specialization strategies show a high potential of the tourism sector to benefit from geographical, cultural and institutional forms of proximity. The results also suggest that knowledge externalities arising from interactions with both related or unrelated sectors—by exploiting interactions and connectivity with sectors with both low and high cognitive distances—may emerge.https://www.mdpi.com/2071-1050/12/14/5765relatednessproximitynetworkinnovationspecializationpanel data
collection DOAJ
language English
format Article
sources DOAJ
author João Romão
spellingShingle João Romão
Variety, Smart Specialization and Tourism Competitiveness
Sustainability
relatedness
proximity
network
innovation
specialization
panel data
author_facet João Romão
author_sort João Romão
title Variety, Smart Specialization and Tourism Competitiveness
title_short Variety, Smart Specialization and Tourism Competitiveness
title_full Variety, Smart Specialization and Tourism Competitiveness
title_fullStr Variety, Smart Specialization and Tourism Competitiveness
title_full_unstemmed Variety, Smart Specialization and Tourism Competitiveness
title_sort variety, smart specialization and tourism competitiveness
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-07-01
description This work analyzes how regional tourism dynamics (demand, supply and specialization) and innovation performance may influence tourism competitiveness. The novelty and originality of the analysis is the inclusion of aspects related to the sectorial priority options defined within smart specialization strategies in European regions as potential explanatory factors. By using a panel data model and focusing on regions where tourism is one of the priority sectors for Regional Innovation Strategies (RIS3, 2014–2020), the results reveal positive impacts of tourism demand, supply and specialization on the value added produced by tourism activities. Moreover, immaterial aspects related to the qualification of the regional labor force and innovation dynamics (investment in research in development) also exert a positive impact on tourism competitiveness. The novel results obtained regarding the impacts of smart specialization strategies show a high potential of the tourism sector to benefit from geographical, cultural and institutional forms of proximity. The results also suggest that knowledge externalities arising from interactions with both related or unrelated sectors—by exploiting interactions and connectivity with sectors with both low and high cognitive distances—may emerge.
topic relatedness
proximity
network
innovation
specialization
panel data
url https://www.mdpi.com/2071-1050/12/14/5765
work_keys_str_mv AT joaoromao varietysmartspecializationandtourismcompetitiveness
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