Green innovation and income inequality: A complex system analysis

The objective of this paper is to analyse the relationship between income inequality and environmental innovation. To this end, we use the Economic Fitness and Complexity algorithm to compute an index of green inventive capacity in a panel of 57 countries over the period 1970–2010. The empirical ana...

ver descrição completa

Detalhes bibliográficos
Autores: Napolitano, Lorenzo, Sbardella, Angelica, Consoli, Davide, Barbieri, Nicolò, Perruchas, François
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/287476
Acesso em linha:http://hdl.handle.net/10261/287476
Access Level:acceso abierto
Palavra-chave:Economic fitness and complexity
Environmental innovation
Income inequality
http://metadata.un.org/sdg/10
Reduce inequality within and among countries
id ES_89bd87afabdbf03cc6f5e8e878b8e98f
oai_identifier_str oai:digital.csic.es:10261/287476
network_acronym_str ES
network_name_str España
repository_id_str
spelling Green innovation and income inequality: A complex system analysisNapolitano, LorenzoSbardella, AngelicaConsoli, DavideBarbieri, NicolòPerruchas, FrançoisEconomic fitness and complexityEnvironmental innovationIncome inequalityhttp://metadata.un.org/sdg/10Reduce inequality within and among countriesThe objective of this paper is to analyse the relationship between income inequality and environmental innovation. To this end, we use the Economic Fitness and Complexity algorithm to compute an index of green inventive capacity in a panel of 57 countries over the period 1970–2010. The empirical analysis reveals that, on average, inequality is detrimental to countries’ capacity to develop complex green technologies. Using non-parametric methods we further articulate this general finding and uncover interesting non-linearities in the relationship between innovation and inequality.Davide Consoli would like to acknowledge the financial support of Ministerio Ciencia e Innovación (Ref. PID2020-119096RB-I00/MCIN /AEI/10.13039/501100011033). François Perruchas would like to acknowledge the financial support of European H2020 Project RISIS2 (grant agreement no 824091). Angelica Sbardella would like to acknowledge the CREF project ”Complessitá in Economia”.ElsevierMinisterio de Ciencia, Innovación y Universidades (España)Agencia Estatal de Investigación (España)European CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]2023202320222023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/287476reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119096RB-I00info:eu-repo/grantAgreement/EC/H2020/824091http://dx.doi.org/10.1016/j.strueco.2022.09.007Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2874762026-05-22T06:33:51Z
dc.title.none.fl_str_mv Green innovation and income inequality: A complex system analysis
title Green innovation and income inequality: A complex system analysis
spellingShingle Green innovation and income inequality: A complex system analysis
Napolitano, Lorenzo
Economic fitness and complexity
Environmental innovation
Income inequality
http://metadata.un.org/sdg/10
Reduce inequality within and among countries
title_short Green innovation and income inequality: A complex system analysis
title_full Green innovation and income inequality: A complex system analysis
title_fullStr Green innovation and income inequality: A complex system analysis
title_full_unstemmed Green innovation and income inequality: A complex system analysis
title_sort Green innovation and income inequality: A complex system analysis
dc.creator.none.fl_str_mv Napolitano, Lorenzo
Sbardella, Angelica
Consoli, Davide
Barbieri, Nicolò
Perruchas, François
author Napolitano, Lorenzo
author_facet Napolitano, Lorenzo
Sbardella, Angelica
Consoli, Davide
Barbieri, Nicolò
Perruchas, François
author_role author
author2 Sbardella, Angelica
Consoli, Davide
Barbieri, Nicolò
Perruchas, François
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
European Commission
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Economic fitness and complexity
Environmental innovation
Income inequality
http://metadata.un.org/sdg/10
Reduce inequality within and among countries
topic Economic fitness and complexity
Environmental innovation
Income inequality
http://metadata.un.org/sdg/10
Reduce inequality within and among countries
description The objective of this paper is to analyse the relationship between income inequality and environmental innovation. To this end, we use the Economic Fitness and Complexity algorithm to compute an index of green inventive capacity in a panel of 57 countries over the period 1970–2010. The empirical analysis reveals that, on average, inequality is detrimental to countries’ capacity to develop complex green technologies. Using non-parametric methods we further articulate this general finding and uncover interesting non-linearities in the relationship between innovation and inequality.
publishDate 2022
dc.date.none.fl_str_mv 2022
2023
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/287476
url http://hdl.handle.net/10261/287476
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119096RB-I00
info:eu-repo/grantAgreement/EC/H2020/824091
http://dx.doi.org/10.1016/j.strueco.2022.09.007
Sí
dc.rights.none.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:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869412649600548864
score 15.812429

Registos relacionados