Economic complexity, economic growth, and CO2 emissions : a panel data analysis
Reducing global warming effects without jeopardizing economic prosperity demands the analysis of the link between these factors. Environmental degradation and economic growth are thought to be related in a non-linear manner, following an inverted-U pattern called the ‘Environmental Kuznets Curve’ (E...
- Autores:
-
Laverde Rojas, Henry
Correa Nuñez, Juan Carlos
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2021
- Institución:
- Colegio de Estudios Superiores de Administración
- Repositorio:
- Repositorio CESA
- Idioma:
- eng
- OAI Identifier:
- oai:repository.cesa.edu.co:10726/5045
- Palabra clave:
- CO2 emissions
GDP per capita
Economic complexity
EKC
- Rights
- License
- Acceso Restringido
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Laverde Rojas, Henry06735694-ed21-489b-b44f-51109b1e98a9600Correa Nuñez, Juan Carlos795132b2-c8e7-4ac2-aba6-2464854ffe13600Laverde Rojas, Henry [0000-0002-6112-5259]Correa Nuñez, Juan Carlos [0000-0002-0301-5641]Laverde Rojas, Henry [57221974585]Correa Nuñez, Juan Carlos [57190250874]2023-06-21T22:22:59Z2023-06-21T22:22:59Z2021-09-101016-8737http://hdl.handle.net/10726/5045instname:Colegio de Estudios Superiores de Administración – CESAreponame:Biblioteca Digital – CESArepourl:https://repository.cesa.edu.co/1743-517Xhttps://doi.org/10.1080/10168737.2021.1975303engRoutledgeEconomic complexity, economic growth, and CO2 emissions : a panel data analysisarticlehttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_71e4c1898caa6e32Acceso Restringidohttp://vocabularies.coar-repositories.org/access_rights/c_16ec/http://purl.org/coar/access_right/c_16ecReducing global warming effects without jeopardizing economic prosperity demands the analysis of the link between these factors. Environmental degradation and economic growth are thought to be related in a non-linear manner, following an inverted-U pattern called the ‘Environmental Kuznets Curve’ (EKC). Despite the many studies seeking empirical support for this relationship, the literature does not provide conclusive findings. By presenting the Economic Complexity Index (ECI) as an explanatory variable, this paper aims at providing a comprehensive analysis of EKC from 86 countries with different development levels, covering the period between 1971 and 2014. Different statistical estimation techniques were used, including an Adaptive Neuro-Fuzzy Inference System (ANFIS) model, dynamic panel data techniques, and the Sasabuchi–Lind–Mehlum (SLM) test. The results show no clear evidence supporting the idea of EKC, neither for production volumes nor for production sophistication, as captured by ECI. Nonetheless, when ECI increases, pollution levels drop monotonously only for developed countries.https://orcid.org/0000-0002-6112-5259https://orcid.org/0000-0002-0301-5641https://www.scopus.com/authid/detail.uri?authorId=57221974585https://www.scopus.com/authid/detail.uri?authorId=57190250874354411433International Economic JournalCO2 emissionsGDP per capitaEconomic complexityEKC10726/5045oai:repository.cesa.edu.co:10726/50452023-10-02 20:22:11.68metadata only accessBiblioteca Digital - CESAbiblioteca@cesa.edu.co |
dc.title.eng.fl_str_mv |
Economic complexity, economic growth, and CO2 emissions : a panel data analysis |
title |
Economic complexity, economic growth, and CO2 emissions : a panel data analysis |
spellingShingle |
Economic complexity, economic growth, and CO2 emissions : a panel data analysis CO2 emissions GDP per capita Economic complexity EKC |
title_short |
Economic complexity, economic growth, and CO2 emissions : a panel data analysis |
title_full |
Economic complexity, economic growth, and CO2 emissions : a panel data analysis |
title_fullStr |
Economic complexity, economic growth, and CO2 emissions : a panel data analysis |
title_full_unstemmed |
Economic complexity, economic growth, and CO2 emissions : a panel data analysis |
title_sort |
Economic complexity, economic growth, and CO2 emissions : a panel data analysis |
dc.creator.fl_str_mv |
Laverde Rojas, Henry Correa Nuñez, Juan Carlos |
dc.contributor.author.spa.fl_str_mv |
Laverde Rojas, Henry Correa Nuñez, Juan Carlos |
dc.contributor.orcid.none.fl_str_mv |
Laverde Rojas, Henry [0000-0002-6112-5259] Correa Nuñez, Juan Carlos [0000-0002-0301-5641] |
dc.contributor.scopus.none.fl_str_mv |
Laverde Rojas, Henry [57221974585] Correa Nuñez, Juan Carlos [57190250874] |
dc.subject.proposal.none.fl_str_mv |
CO2 emissions GDP per capita Economic complexity EKC |
topic |
CO2 emissions GDP per capita Economic complexity EKC |
description |
Reducing global warming effects without jeopardizing economic prosperity demands the analysis of the link between these factors. Environmental degradation and economic growth are thought to be related in a non-linear manner, following an inverted-U pattern called the ‘Environmental Kuznets Curve’ (EKC). Despite the many studies seeking empirical support for this relationship, the literature does not provide conclusive findings. By presenting the Economic Complexity Index (ECI) as an explanatory variable, this paper aims at providing a comprehensive analysis of EKC from 86 countries with different development levels, covering the period between 1971 and 2014. Different statistical estimation techniques were used, including an Adaptive Neuro-Fuzzy Inference System (ANFIS) model, dynamic panel data techniques, and the Sasabuchi–Lind–Mehlum (SLM) test. The results show no clear evidence supporting the idea of EKC, neither for production volumes nor for production sophistication, as captured by ECI. Nonetheless, when ECI increases, pollution levels drop monotonously only for developed countries. |
publishDate |
2021 |
dc.date.issued.none.fl_str_mv |
2021-09-10 |
dc.date.accessioned.none.fl_str_mv |
2023-06-21T22:22:59Z |
dc.date.available.none.fl_str_mv |
2023-06-21T22:22:59Z |
dc.type.none.fl_str_mv |
article |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.redcol.none.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_71e4c1898caa6e32 |
format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.identifier.issn.none.fl_str_mv |
1016-8737 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10726/5045 |
dc.identifier.instname.none.fl_str_mv |
instname:Colegio de Estudios Superiores de Administración – CESA |
dc.identifier.reponame.none.fl_str_mv |
reponame:Biblioteca Digital – CESA |
dc.identifier.repourl.none.fl_str_mv |
repourl:https://repository.cesa.edu.co/ |
dc.identifier.eissn.none.fl_str_mv |
1743-517X |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1080/10168737.2021.1975303 |
identifier_str_mv |
1016-8737 instname:Colegio de Estudios Superiores de Administración – CESA reponame:Biblioteca Digital – CESA repourl:https://repository.cesa.edu.co/ 1743-517X |
url |
http://hdl.handle.net/10726/5045 https://doi.org/10.1080/10168737.2021.1975303 |
dc.language.iso.none.fl_str_mv |
eng |
language |
eng |
dc.relation.citationvolume.none.fl_str_mv |
35 |
dc.relation.citationissue.none.fl_str_mv |
4 |
dc.relation.citationstartpage.none.fl_str_mv |
411 |
dc.relation.citationendpage.none.fl_str_mv |
433 |
dc.relation.ispartofjournal.none.fl_str_mv |
International Economic Journal |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_16ec |
dc.rights.local.none.fl_str_mv |
Acceso Restringido |
dc.rights.coar.none.fl_str_mv |
http://vocabularies.coar-repositories.org/access_rights/c_16ec/ |
rights_invalid_str_mv |
Acceso Restringido http://vocabularies.coar-repositories.org/access_rights/c_16ec/ http://purl.org/coar/access_right/c_16ec |
dc.publisher.none.fl_str_mv |
Routledge |
publisher.none.fl_str_mv |
Routledge |
institution |
Colegio de Estudios Superiores de Administración |
repository.name.fl_str_mv |
Biblioteca Digital - CESA |
repository.mail.fl_str_mv |
biblioteca@cesa.edu.co |
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1793339966426710016 |