Determinants of Africa’s development: An exploratory study

Detalhes bibliográficos
Autor(a) principal: Veiga, J.
Data de Publicação: 2022
Outros Autores: Ferreira-Lopes, A., Carvalho, H., Sequeira, T. N., Monteiro, H.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/24681
Resumo: The increasing sustainability and the causes of economic growth in African countries, provide a set of new research questions for development scholars around the World. The possible determinants of this phenomenon are usually considered to be of economic, social, and institutional natures. In this work is assessed which economic, social, and institutional determinants of economic development are important to the development of Africa countries, for the years 1996 and 2014. The similarities amongst countries and the evolution between the two years are also analyzed. A principal components analysis for categorical data to examine the inter-relationships between the indicators in 1996 and also in 2014. An agglomerative clustering algorithm was used through two different methods: ward’s method and complete linkage method (also called furthest neighbor). The Hierarchical Cluster Analysis (HCA) was suited by a k-means algorithm, to obtain an optimal solution and a typology of countries was identified for each year. The main contribution of the work is to make a joint analysis of the three determinants of economic growth and development – economic, social, and institutional, in which the literature is extremely scarce. Results indicate a positive association amongst institutional, economic, and social determinants of development, which means that countries that exhibit a good performance in institutional indicators also have a good performance in economic and social indicators, and vice-versa, although results are not as clear for 2014 as they are for 1996. Additionally, a higher concentration of countries in the two clusters in which these three indicators are better in 2014 (31 countries in 1996 and 49 countries in 2014), seems to indicate a positive evolution for development of African countries from 1996 to 2014. Results show that policy makers should take an integrated view regarding development and economic growth policies and take in consideration both the economic, social, and institutional characteristics of each country. If an economic, social, or institutional policy is designed independently of the other two, this policy will probably fail in reaching its development or economic growth goal, since all these three factors are interconnected.
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spelling Determinants of Africa’s development: An exploratory studyDeterminants of developmentAfricaInstitutional social and economic dimensionsPrincipal components analysis for categorical dataCluster analysisThe increasing sustainability and the causes of economic growth in African countries, provide a set of new research questions for development scholars around the World. The possible determinants of this phenomenon are usually considered to be of economic, social, and institutional natures. In this work is assessed which economic, social, and institutional determinants of economic development are important to the development of Africa countries, for the years 1996 and 2014. The similarities amongst countries and the evolution between the two years are also analyzed. A principal components analysis for categorical data to examine the inter-relationships between the indicators in 1996 and also in 2014. An agglomerative clustering algorithm was used through two different methods: ward’s method and complete linkage method (also called furthest neighbor). The Hierarchical Cluster Analysis (HCA) was suited by a k-means algorithm, to obtain an optimal solution and a typology of countries was identified for each year. The main contribution of the work is to make a joint analysis of the three determinants of economic growth and development – economic, social, and institutional, in which the literature is extremely scarce. Results indicate a positive association amongst institutional, economic, and social determinants of development, which means that countries that exhibit a good performance in institutional indicators also have a good performance in economic and social indicators, and vice-versa, although results are not as clear for 2014 as they are for 1996. Additionally, a higher concentration of countries in the two clusters in which these three indicators are better in 2014 (31 countries in 1996 and 49 countries in 2014), seems to indicate a positive evolution for development of African countries from 1996 to 2014. Results show that policy makers should take an integrated view regarding development and economic growth policies and take in consideration both the economic, social, and institutional characteristics of each country. If an economic, social, or institutional policy is designed independently of the other two, this policy will probably fail in reaching its development or economic growth goal, since all these three factors are interconnected.Tennessee State University2022-03-04T12:59:44Z2022-01-01T00:00:00Z20222022-03-04T12:58:40Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/24681eng0022-037X10.1353/jda.2022.0002Veiga, J.Ferreira-Lopes, A.Carvalho, H.Sequeira, T. N.Monteiro, H.info: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:RCAAP2023-11-09T17:44:04Zoai:repositorio.iscte-iul.pt:10071/24681Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:20:52.473286Repositório 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 Determinants of Africa’s development: An exploratory study
title Determinants of Africa’s development: An exploratory study
spellingShingle Determinants of Africa’s development: An exploratory study
Veiga, J.
Determinants of development
Africa
Institutional social and economic dimensions
Principal components analysis for categorical data
Cluster analysis
title_short Determinants of Africa’s development: An exploratory study
title_full Determinants of Africa’s development: An exploratory study
title_fullStr Determinants of Africa’s development: An exploratory study
title_full_unstemmed Determinants of Africa’s development: An exploratory study
title_sort Determinants of Africa’s development: An exploratory study
author Veiga, J.
author_facet Veiga, J.
Ferreira-Lopes, A.
Carvalho, H.
Sequeira, T. N.
Monteiro, H.
author_role author
author2 Ferreira-Lopes, A.
Carvalho, H.
Sequeira, T. N.
Monteiro, H.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Veiga, J.
Ferreira-Lopes, A.
Carvalho, H.
Sequeira, T. N.
Monteiro, H.
dc.subject.por.fl_str_mv Determinants of development
Africa
Institutional social and economic dimensions
Principal components analysis for categorical data
Cluster analysis
topic Determinants of development
Africa
Institutional social and economic dimensions
Principal components analysis for categorical data
Cluster analysis
description The increasing sustainability and the causes of economic growth in African countries, provide a set of new research questions for development scholars around the World. The possible determinants of this phenomenon are usually considered to be of economic, social, and institutional natures. In this work is assessed which economic, social, and institutional determinants of economic development are important to the development of Africa countries, for the years 1996 and 2014. The similarities amongst countries and the evolution between the two years are also analyzed. A principal components analysis for categorical data to examine the inter-relationships between the indicators in 1996 and also in 2014. An agglomerative clustering algorithm was used through two different methods: ward’s method and complete linkage method (also called furthest neighbor). The Hierarchical Cluster Analysis (HCA) was suited by a k-means algorithm, to obtain an optimal solution and a typology of countries was identified for each year. The main contribution of the work is to make a joint analysis of the three determinants of economic growth and development – economic, social, and institutional, in which the literature is extremely scarce. Results indicate a positive association amongst institutional, economic, and social determinants of development, which means that countries that exhibit a good performance in institutional indicators also have a good performance in economic and social indicators, and vice-versa, although results are not as clear for 2014 as they are for 1996. Additionally, a higher concentration of countries in the two clusters in which these three indicators are better in 2014 (31 countries in 1996 and 49 countries in 2014), seems to indicate a positive evolution for development of African countries from 1996 to 2014. Results show that policy makers should take an integrated view regarding development and economic growth policies and take in consideration both the economic, social, and institutional characteristics of each country. If an economic, social, or institutional policy is designed independently of the other two, this policy will probably fail in reaching its development or economic growth goal, since all these three factors are interconnected.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-04T12:59:44Z
2022-01-01T00:00:00Z
2022
2022-03-04T12:58:40Z
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language eng
dc.relation.none.fl_str_mv 0022-037X
10.1353/jda.2022.0002
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dc.publisher.none.fl_str_mv Tennessee State University
publisher.none.fl_str_mv Tennessee State University
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