A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries

Detalhes bibliográficos
Autor(a) principal: Ibrahim, Mustapha Daruwana
Data de Publicação: 2021
Outros Autores: Alola, Andrew, Ferreira, Diogo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/28254
Resumo: Stress on ecological resources affects the sustainability of the socio-ecological system (SES). Interconnections within SES are involved. Therefore, this study considered indicators that are composite of the interconnections to estimate SES efficiency. We employed the non-parametric benchmarking order-α model, from Data Envelopment Analysis (DEA), to estimate SES efficiency and alleviate possible intricacies. We evaluated twenty-four Sub Saharan African (SSA) nations observed from 2000 to 2014. More than half of them were inefficient. An increase in food production and environmental performance is essential for SES efficiency improvement. Quantile regression found that human development (through the lifespan, education, and standard of living) is related to the SES efficiency improvement. The SES efficiency is likely negatively associated with higher values of both female proletariat and carbon emissions. Policymakers should increase the concerted efforts of empowering human capacity and minimize the gender gap within SSA countries to become efficient and fulfill sustainable development goals.
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spelling A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countriesSocio-Ecological systems Sub-Saharan Africa Sustainable Development Goals Data Envelopment Analysis Two-stage AnalysisStress on ecological resources affects the sustainability of the socio-ecological system (SES). Interconnections within SES are involved. Therefore, this study considered indicators that are composite of the interconnections to estimate SES efficiency. We employed the non-parametric benchmarking order-α model, from Data Envelopment Analysis (DEA), to estimate SES efficiency and alleviate possible intricacies. We evaluated twenty-four Sub Saharan African (SSA) nations observed from 2000 to 2014. More than half of them were inefficient. An increase in food production and environmental performance is essential for SES efficiency improvement. Quantile regression found that human development (through the lifespan, education, and standard of living) is related to the SES efficiency improvement. The SES efficiency is likely negatively associated with higher values of both female proletariat and carbon emissions. Policymakers should increase the concerted efforts of empowering human capacity and minimize the gender gap within SSA countries to become efficient and fulfill sustainable development goals.ElsevierRepositório da Universidade de LisboaIbrahim, Mustapha DaruwanaAlola, AndrewFerreira, Diogo2023-08-28T13:08:51Z2021-01-202021-01-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/28254engMustapha D. Ibrahim, Andrew A. Alola, Diogo Cunha Ferreira, A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries, Ecological Indicators, Volume 123, 2021, 107381, ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2021.107381. (https://www.sciencedirect.com/science/article/pii/S1470160X21000467)10.1016/j.ecolind.2021.107381info: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:RCAAP2023-09-03T01:31:28Zoai:www.repository.utl.pt:10400.5/28254Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:28:05.430160Repositório 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 A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries
title A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries
spellingShingle A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries
Ibrahim, Mustapha Daruwana
Socio-Ecological systems Sub-Saharan Africa Sustainable Development Goals Data Envelopment Analysis Two-stage Analysis
title_short A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries
title_full A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries
title_fullStr A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries
title_full_unstemmed A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries
title_sort A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries
author Ibrahim, Mustapha Daruwana
author_facet Ibrahim, Mustapha Daruwana
Alola, Andrew
Ferreira, Diogo
author_role author
author2 Alola, Andrew
Ferreira, Diogo
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Ibrahim, Mustapha Daruwana
Alola, Andrew
Ferreira, Diogo
dc.subject.por.fl_str_mv Socio-Ecological systems Sub-Saharan Africa Sustainable Development Goals Data Envelopment Analysis Two-stage Analysis
topic Socio-Ecological systems Sub-Saharan Africa Sustainable Development Goals Data Envelopment Analysis Two-stage Analysis
description Stress on ecological resources affects the sustainability of the socio-ecological system (SES). Interconnections within SES are involved. Therefore, this study considered indicators that are composite of the interconnections to estimate SES efficiency. We employed the non-parametric benchmarking order-α model, from Data Envelopment Analysis (DEA), to estimate SES efficiency and alleviate possible intricacies. We evaluated twenty-four Sub Saharan African (SSA) nations observed from 2000 to 2014. More than half of them were inefficient. An increase in food production and environmental performance is essential for SES efficiency improvement. Quantile regression found that human development (through the lifespan, education, and standard of living) is related to the SES efficiency improvement. The SES efficiency is likely negatively associated with higher values of both female proletariat and carbon emissions. Policymakers should increase the concerted efforts of empowering human capacity and minimize the gender gap within SSA countries to become efficient and fulfill sustainable development goals.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-20
2021-01-20T00:00:00Z
2023-08-28T13:08:51Z
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/10400.5/28254
url http://hdl.handle.net/10400.5/28254
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Mustapha D. Ibrahim, Andrew A. Alola, Diogo Cunha Ferreira, A two-stage data envelopment analysis of efficiency of social-ecological systems: Inference from the sub-Saharan African countries, Ecological Indicators, Volume 123, 2021, 107381, ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2021.107381. (https://www.sciencedirect.com/science/article/pii/S1470160X21000467)
10.1016/j.ecolind.2021.107381
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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