INNOVATION AND LEARNING IN AN ENVIRONMENT OF LIMITED RATIONALITY AND SUBJECT TO NETWORK EXTERNALITIES: A DISCRETE CHOICE APPROACH

Detalhes bibliográficos
Autor(a) principal: Almeida, Helberte João França
Data de Publicação: 2019
Outros Autores: Giovanini, Adilson, Pereira, Wallace Marcelino, Coelho, Alexandre Rodrigues Alves
Tipo de documento: Artigo
Idioma: por
Título da fonte: Análise Econômica (Online)
Texto Completo: https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/73622
Resumo: The paper uses agent-based modeling to identify the types of learning adoptedby firms in an emerging market structure and a dynamic framework of technical change thatis expressed through learning effort. Thus, the computational model elaborated considersthat firms have two different sources of incentive to innovation: a) incentives internal tothe firm; and b) incentives outside the firm. Innovation data provided by (PINTEC) for thetextile and machinery and equipment sector were used to calibrate the developed model.The results suggest that the learning adopted by firms in the machinery and equipmentsector is sensitive to the incentive source. In turn, the learning adopted by firms that makeup the textile sector are not very sensitive to the source of the incentives, and to the degree of heterogeneity with which firms perceive external incentives.
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spelling INNOVATION AND LEARNING IN AN ENVIRONMENT OF LIMITED RATIONALITY AND SUBJECT TO NETWORK EXTERNALITIES: A DISCRETE CHOICE APPROACHINOVAÇÃO E APRENDIZADO EM UM AMBIENTE DE RACIONALIDADE LIMITADA E SUJEITO A EXTERNALIDADES DE REDE: UMA ABORDAGEM DE ESCOLHA DISCRETAInovaçãoExternalidadesModelo de escolhas discretasO31O32O33InnovationExternalitiesModel of discrete choicesO31O32O33The paper uses agent-based modeling to identify the types of learning adoptedby firms in an emerging market structure and a dynamic framework of technical change thatis expressed through learning effort. Thus, the computational model elaborated considersthat firms have two different sources of incentive to innovation: a) incentives internal tothe firm; and b) incentives outside the firm. Innovation data provided by (PINTEC) for thetextile and machinery and equipment sector were used to calibrate the developed model.The results suggest that the learning adopted by firms in the machinery and equipmentsector is sensitive to the incentive source. In turn, the learning adopted by firms that makeup the textile sector are not very sensitive to the source of the incentives, and to the degree of heterogeneity with which firms perceive external incentives.O artigo utiliza-se da modelagem baseada em agentes para identificar os tipos de aprendizados adotados pelas firmas em uma estrutura de mercado emergente e em um quadro dinâmico de mudanças técnicas, que se expressa por meio do esforço de aprendizado. Assim, o modelo computacional elaborado considera que as firmas possuem duas fontes diferentes de incentivo à inovação: incentivos internos e externos à firma. Dados de inovação disponibilizados pela (PINTEC), para o setor têxtil e de máquinas e equipamentos, foram utilizados para calibrar o modelo desenvolvido. Os resultados sugerem que os aprendizados adotados pelas firmas do setor de máquinas e equipamentos são sensíveis à fonte de incentivo. Por sua vez, os aprendizados adotados pelas firmas que compõem o setor têxtil são pouco sensíveis à fonte dos incentivos e ao grau de heterogeneidade com que as firmas percebem os incentivos externos.UFRGS2019-08-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/7362210.22456/2176-5456.73622Análise Econômica; Vol. 37 No. 73 (2019): Junho/2019Análise Econômica; v. 37 n. 73 (2019): Junho/20192176-54560102-9924reponame:Análise Econômica (Online)instname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSporhttps://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/73622/53569Copyright (c) 2019 Análise Econômicainfo:eu-repo/semantics/openAccessAlmeida, Helberte João FrançaGiovanini, AdilsonPereira, Wallace MarcelinoCoelho, Alexandre Rodrigues Alves2020-06-29T21:35:38Zoai:seer.ufrgs.br:article/73622Revistahttps://seer.ufrgs.br/index.php/AnaliseEconomicaPUBhttps://seer.ufrgs.br/index.php/AnaliseEconomica/oai||rae@ufrgs.br2176-54560102-9924opendoar:2020-06-29T21:35:38Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.none.fl_str_mv INNOVATION AND LEARNING IN AN ENVIRONMENT OF LIMITED RATIONALITY AND SUBJECT TO NETWORK EXTERNALITIES: A DISCRETE CHOICE APPROACH
INOVAÇÃO E APRENDIZADO EM UM AMBIENTE DE RACIONALIDADE LIMITADA E SUJEITO A EXTERNALIDADES DE REDE: UMA ABORDAGEM DE ESCOLHA DISCRETA
title INNOVATION AND LEARNING IN AN ENVIRONMENT OF LIMITED RATIONALITY AND SUBJECT TO NETWORK EXTERNALITIES: A DISCRETE CHOICE APPROACH
spellingShingle INNOVATION AND LEARNING IN AN ENVIRONMENT OF LIMITED RATIONALITY AND SUBJECT TO NETWORK EXTERNALITIES: A DISCRETE CHOICE APPROACH
Almeida, Helberte João França
Inovação
Externalidades
Modelo de escolhas discretas
O31
O32
O33
Innovation
Externalities
Model of discrete choices
O31
O32
O33
title_short INNOVATION AND LEARNING IN AN ENVIRONMENT OF LIMITED RATIONALITY AND SUBJECT TO NETWORK EXTERNALITIES: A DISCRETE CHOICE APPROACH
title_full INNOVATION AND LEARNING IN AN ENVIRONMENT OF LIMITED RATIONALITY AND SUBJECT TO NETWORK EXTERNALITIES: A DISCRETE CHOICE APPROACH
title_fullStr INNOVATION AND LEARNING IN AN ENVIRONMENT OF LIMITED RATIONALITY AND SUBJECT TO NETWORK EXTERNALITIES: A DISCRETE CHOICE APPROACH
title_full_unstemmed INNOVATION AND LEARNING IN AN ENVIRONMENT OF LIMITED RATIONALITY AND SUBJECT TO NETWORK EXTERNALITIES: A DISCRETE CHOICE APPROACH
title_sort INNOVATION AND LEARNING IN AN ENVIRONMENT OF LIMITED RATIONALITY AND SUBJECT TO NETWORK EXTERNALITIES: A DISCRETE CHOICE APPROACH
author Almeida, Helberte João França
author_facet Almeida, Helberte João França
Giovanini, Adilson
Pereira, Wallace Marcelino
Coelho, Alexandre Rodrigues Alves
author_role author
author2 Giovanini, Adilson
Pereira, Wallace Marcelino
Coelho, Alexandre Rodrigues Alves
author2_role author
author
author
dc.contributor.author.fl_str_mv Almeida, Helberte João França
Giovanini, Adilson
Pereira, Wallace Marcelino
Coelho, Alexandre Rodrigues Alves
dc.subject.por.fl_str_mv Inovação
Externalidades
Modelo de escolhas discretas
O31
O32
O33
Innovation
Externalities
Model of discrete choices
O31
O32
O33
topic Inovação
Externalidades
Modelo de escolhas discretas
O31
O32
O33
Innovation
Externalities
Model of discrete choices
O31
O32
O33
description The paper uses agent-based modeling to identify the types of learning adoptedby firms in an emerging market structure and a dynamic framework of technical change thatis expressed through learning effort. Thus, the computational model elaborated considersthat firms have two different sources of incentive to innovation: a) incentives internal tothe firm; and b) incentives outside the firm. Innovation data provided by (PINTEC) for thetextile and machinery and equipment sector were used to calibrate the developed model.The results suggest that the learning adopted by firms in the machinery and equipmentsector is sensitive to the incentive source. In turn, the learning adopted by firms that makeup the textile sector are not very sensitive to the source of the incentives, and to the degree of heterogeneity with which firms perceive external incentives.
publishDate 2019
dc.date.none.fl_str_mv 2019-08-05
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/73622
10.22456/2176-5456.73622
url https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/73622
identifier_str_mv 10.22456/2176-5456.73622
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufrgs.br/index.php/AnaliseEconomica/article/view/73622/53569
dc.rights.driver.fl_str_mv Copyright (c) 2019 Análise Econômica
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2019 Análise Econômica
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UFRGS
publisher.none.fl_str_mv UFRGS
dc.source.none.fl_str_mv Análise Econômica; Vol. 37 No. 73 (2019): Junho/2019
Análise Econômica; v. 37 n. 73 (2019): Junho/2019
2176-5456
0102-9924
reponame:Análise Econômica (Online)
instname:Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
instname_str Universidade Federal do Rio Grande do Sul (UFRGS)
instacron_str UFRGS
institution UFRGS
reponame_str Análise Econômica (Online)
collection Análise Econômica (Online)
repository.name.fl_str_mv Análise Econômica (Online) - Universidade Federal do Rio Grande do Sul (UFRGS)
repository.mail.fl_str_mv ||rae@ufrgs.br
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