A new classification of small island economies based on geography, demography and sovereignty
We explore and use correlations (not causations) between geographic and demographic characteristics and current levels of sovereignty in order to propose a new classification of small, island and coastal territories. While previous analyses mostly rely on descriptive statistics between the group of...
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ftunivmalta:oai:www.um.edu.mt:123456789/94154 2023-05-15T16:29:50+02:00 A new classification of small island economies based on geography, demography and sovereignty Goujon, Michaël Razafindravaosolonirina, Justinien 2022-05 https://www.um.edu.mt/library/oar/handle/123456789/94154 en eng University of Malta. Islands and Small States Institute Goujon, M., & Razafindravaosolonirina, J. (2022). A new classification of small island economies based on geography, demography and sovereignty. Small States & Territories, 5(1), 159-178. 2616-8006 https://www.um.edu.mt/library/oar/handle/123456789/94154 info:eu-repo/semantics/openAccess The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder Principal components analysis Archipelagoes -- Cross-cultural studies Sovereignty -- Case studies Islands -- Case studies States Small -- Case studies article 2022 ftunivmalta 2022-04-27T17:07:34Z We explore and use correlations (not causations) between geographic and demographic characteristics and current levels of sovereignty in order to propose a new classification of small, island and coastal territories. While previous analyses mostly rely on descriptive statistics between the group of UN-members and subnational jurisdictions, we take advantage of a “formal sovereignty” index developed by Alberti and Goujon (2020) that provides a continuous and multidimensional measure of sovereignty or autonomy for a sample of 100 small island states and coastal/island territories. Huge heterogeneity within such a sample leads us to use a data-driven method of principal component analysis and clustering in order to secure a multidimensional typology of small islands relative to their main geographic and demographic characteristics and their level of sovereignty. The PCA results show that heterogeneity is firstly explained by a combination of geographic and demographic variables, and secondly by sovereignty, associated (positively) with population size and (negatively) with insularity. The clustering analysis leads to divide the 100 territories into four clusters mainly characterized by, respectively: Group 1 (32 territories): high sovereignty associated with a large population; Group 2 (26 territories): high values of latitude and life expectancy (mostly Atlantic and Baltic territories); Group 3 (40 territories): large distance to metropolitan power and high insularity (Pacific Regions); and Group 4: Greenland and Nunavut, two territories with a large land area, high latitude, low populations and large EEZ surface area. peer-reviewed Article in Journal/Newspaper Greenland Nunavut University of Malta: OAR@UM Alberti ENVELOPE(-62.995,-62.995,-64.313,-64.313) Greenland Nunavut Pacific |
institution |
Open Polar |
collection |
University of Malta: OAR@UM |
op_collection_id |
ftunivmalta |
language |
English |
topic |
Principal components analysis Archipelagoes -- Cross-cultural studies Sovereignty -- Case studies Islands -- Case studies States Small -- Case studies |
spellingShingle |
Principal components analysis Archipelagoes -- Cross-cultural studies Sovereignty -- Case studies Islands -- Case studies States Small -- Case studies Goujon, Michaël Razafindravaosolonirina, Justinien A new classification of small island economies based on geography, demography and sovereignty |
topic_facet |
Principal components analysis Archipelagoes -- Cross-cultural studies Sovereignty -- Case studies Islands -- Case studies States Small -- Case studies |
description |
We explore and use correlations (not causations) between geographic and demographic characteristics and current levels of sovereignty in order to propose a new classification of small, island and coastal territories. While previous analyses mostly rely on descriptive statistics between the group of UN-members and subnational jurisdictions, we take advantage of a “formal sovereignty” index developed by Alberti and Goujon (2020) that provides a continuous and multidimensional measure of sovereignty or autonomy for a sample of 100 small island states and coastal/island territories. Huge heterogeneity within such a sample leads us to use a data-driven method of principal component analysis and clustering in order to secure a multidimensional typology of small islands relative to their main geographic and demographic characteristics and their level of sovereignty. The PCA results show that heterogeneity is firstly explained by a combination of geographic and demographic variables, and secondly by sovereignty, associated (positively) with population size and (negatively) with insularity. The clustering analysis leads to divide the 100 territories into four clusters mainly characterized by, respectively: Group 1 (32 territories): high sovereignty associated with a large population; Group 2 (26 territories): high values of latitude and life expectancy (mostly Atlantic and Baltic territories); Group 3 (40 territories): large distance to metropolitan power and high insularity (Pacific Regions); and Group 4: Greenland and Nunavut, two territories with a large land area, high latitude, low populations and large EEZ surface area. peer-reviewed |
format |
Article in Journal/Newspaper |
author |
Goujon, Michaël Razafindravaosolonirina, Justinien |
author_facet |
Goujon, Michaël Razafindravaosolonirina, Justinien |
author_sort |
Goujon, Michaël |
title |
A new classification of small island economies based on geography, demography and sovereignty |
title_short |
A new classification of small island economies based on geography, demography and sovereignty |
title_full |
A new classification of small island economies based on geography, demography and sovereignty |
title_fullStr |
A new classification of small island economies based on geography, demography and sovereignty |
title_full_unstemmed |
A new classification of small island economies based on geography, demography and sovereignty |
title_sort |
new classification of small island economies based on geography, demography and sovereignty |
publisher |
University of Malta. Islands and Small States Institute |
publishDate |
2022 |
url |
https://www.um.edu.mt/library/oar/handle/123456789/94154 |
long_lat |
ENVELOPE(-62.995,-62.995,-64.313,-64.313) |
geographic |
Alberti Greenland Nunavut Pacific |
geographic_facet |
Alberti Greenland Nunavut Pacific |
genre |
Greenland Nunavut |
genre_facet |
Greenland Nunavut |
op_relation |
Goujon, M., & Razafindravaosolonirina, J. (2022). A new classification of small island economies based on geography, demography and sovereignty. Small States & Territories, 5(1), 159-178. 2616-8006 https://www.um.edu.mt/library/oar/handle/123456789/94154 |
op_rights |
info:eu-repo/semantics/openAccess The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder |
_version_ |
1766019540950450176 |