Smart specialisation in Africa: Potential for regional development in Cameroon based in tourism-training-innovation resources
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/81217 |
Resumo: | Tourism in Cameroon, just like in most Sub-Saharan African countries, despite its potential, has been lagging behind in international terms, with one of the causes being the lack of adequate sectoral policy tools and strategies to carry out developmental goals. This article considers the notion of smart specialisation, currently in the spotlight in European Union’s regional policy, to analyse the situation in Cameroon. Firstly, it provides a brief outlook at the Cameroon’s economy, coupled with a comprehensive look of innovation, training and tourism resources at regional level. Secondly, specialisation indices are calculated and a cluster analysis is implemented to find territorial patterns at regional level. Regions with high potential for tourism development are grouped into a cluster while other clusters are constituted by regions with lower potential for tourism and innovation. Hence smart specialisation may be an interesting concept to be implemented in Cameroon and other African regions as a planning tool, a proper exercise to discover the existing potential of the territories needs to be performed in order to define accordingly priorities and areas of intervention. |
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Smart specialisation in Africa: Potential for regional development in Cameroon based in tourism-training-innovation resourcesCameroonCluster analysisSmart specialisationTourismTourism in Cameroon, just like in most Sub-Saharan African countries, despite its potential, has been lagging behind in international terms, with one of the causes being the lack of adequate sectoral policy tools and strategies to carry out developmental goals. This article considers the notion of smart specialisation, currently in the spotlight in European Union’s regional policy, to analyse the situation in Cameroon. Firstly, it provides a brief outlook at the Cameroon’s economy, coupled with a comprehensive look of innovation, training and tourism resources at regional level. Secondly, specialisation indices are calculated and a cluster analysis is implemented to find territorial patterns at regional level. Regions with high potential for tourism development are grouped into a cluster while other clusters are constituted by regions with lower potential for tourism and innovation. Hence smart specialisation may be an interesting concept to be implemented in Cameroon and other African regions as a planning tool, a proper exercise to discover the existing potential of the territories needs to be performed in order to define accordingly priorities and areas of intervention.UMPP, Universidade de Évora2018info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/81217http://hdl.handle.net/10316/81217eng2183-8992http://www.umpp.uevora.pt/publicacoes/Public-Policy-Portuguese-JournalUlrich, Tchakounte NgassaPinto, HugoNogueira, Carlainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2019-06-02T13:15:43Zoai:estudogeral.uc.pt:10316/81217Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:03:21.494788Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Smart specialisation in Africa: Potential for regional development in Cameroon based in tourism-training-innovation resources |
title |
Smart specialisation in Africa: Potential for regional development in Cameroon based in tourism-training-innovation resources |
spellingShingle |
Smart specialisation in Africa: Potential for regional development in Cameroon based in tourism-training-innovation resources Ulrich, Tchakounte Ngassa Cameroon Cluster analysis Smart specialisation Tourism |
title_short |
Smart specialisation in Africa: Potential for regional development in Cameroon based in tourism-training-innovation resources |
title_full |
Smart specialisation in Africa: Potential for regional development in Cameroon based in tourism-training-innovation resources |
title_fullStr |
Smart specialisation in Africa: Potential for regional development in Cameroon based in tourism-training-innovation resources |
title_full_unstemmed |
Smart specialisation in Africa: Potential for regional development in Cameroon based in tourism-training-innovation resources |
title_sort |
Smart specialisation in Africa: Potential for regional development in Cameroon based in tourism-training-innovation resources |
author |
Ulrich, Tchakounte Ngassa |
author_facet |
Ulrich, Tchakounte Ngassa Pinto, Hugo Nogueira, Carla |
author_role |
author |
author2 |
Pinto, Hugo Nogueira, Carla |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Ulrich, Tchakounte Ngassa Pinto, Hugo Nogueira, Carla |
dc.subject.por.fl_str_mv |
Cameroon Cluster analysis Smart specialisation Tourism |
topic |
Cameroon Cluster analysis Smart specialisation Tourism |
description |
Tourism in Cameroon, just like in most Sub-Saharan African countries, despite its potential, has been lagging behind in international terms, with one of the causes being the lack of adequate sectoral policy tools and strategies to carry out developmental goals. This article considers the notion of smart specialisation, currently in the spotlight in European Union’s regional policy, to analyse the situation in Cameroon. Firstly, it provides a brief outlook at the Cameroon’s economy, coupled with a comprehensive look of innovation, training and tourism resources at regional level. Secondly, specialisation indices are calculated and a cluster analysis is implemented to find territorial patterns at regional level. Regions with high potential for tourism development are grouped into a cluster while other clusters are constituted by regions with lower potential for tourism and innovation. Hence smart specialisation may be an interesting concept to be implemented in Cameroon and other African regions as a planning tool, a proper exercise to discover the existing potential of the territories needs to be performed in order to define accordingly priorities and areas of intervention. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/81217 http://hdl.handle.net/10316/81217 |
url |
http://hdl.handle.net/10316/81217 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2183-8992 http://www.umpp.uevora.pt/publicacoes/Public-Policy-Portuguese-Journal |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
UMPP, Universidade de Évora |
publisher.none.fl_str_mv |
UMPP, Universidade de Évora |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133927352303616 |