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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Main Authors: Goujon, Michaël, Razafindravaosolonirina, Justinien
Format: Article in Journal/Newspaper
Language:English
Published: University of Malta. Islands and Small States Institute 2022
Subjects:
Online Access:https://www.um.edu.mt/library/oar/handle/123456789/94154
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spelling 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
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