A Neo-Kaleckian model of skill-biased technological change and income distribution

Página do item simplificado
dc.creatorAntonio Soares Martins Neto
dc.creatorRafael Saulo Marques Ribeiro
dc.date.accessioned2023-05-19T20:18:44Z
dc.date.accessioned2025-09-09T00:21:29Z
dc.date.available2023-05-19T20:18:44Z
dc.date.issued2019-07
dc.identifier.doihttps://doi.org/10.4337/roke.2019.03.02
dc.identifier.issn20495331
dc.identifier.urihttps://hdl.handle.net/1843/53684
dc.languagepor
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofElgar
dc.rightsAcesso Restrito
dc.subjectInovações tecnológicas
dc.subjectRenda - Distribuição
dc.subject.otherTechnological change
dc.subject.otherIncome distribution
dc.subject.otherEducation
dc.titleA Neo-Kaleckian model of skill-biased technological change and income distribution
dc.typeArtigo de periódico
local.citation.epage307
local.citation.spage292
local.citation.volume7
local.description.resumoThis article proposes a macrodynamic model that takes into account the joint determination of intra-working-class income distribution and knowledge-intensive technological change. Our model highlights two opposing effects of technological change at play: (i) technological innovation promotes a positive structural change and hence boosts net exports and output growth; (ii) technological change, on the other hand, disproportionately affects unskilled workers, which worsens the intra-working-class income distribution and slows down economic growth. Therefore, our model demonstrates that the net impact of technological change on capital accumulation and output growth is ambiguous and hence is a parametric question. Lastly, we show that income transfer and public investments in higher education may be of paramount importance to alleviating the unwanted effects of a contractionary wave of technological change and so promoting a sustained economic recovery.
local.identifier.orcidhttps://orcid.org/0000-0002-7067-9130
local.identifier.orcidhttps://orcid.org/0000-0002-2355-2460
local.publisher.countryBrasil
local.publisher.departmentFCE - DEPARTAMENTO DE CIÊNCIAS ECONÔMICAS
local.publisher.initialsUFMG
local.url.externahttps://www.elgaronline.com/view/journals/roke/7-3/roke.2019.03.02.xml?tab_body=abstract

Arquivos

Licença do pacote

Agora exibindo 1 - 1 de 1
Imagem de Miniatura
Nome:
License.txt
Tamanho:
1.99 KB
Formato:
Plain Text
Descrição:
Baixar

Coleções

Artigo de Periódico

Logo UFMG