O estudo da inovação e capacidade absorvente dos países do BRICS usando a análise de regressão múltipla
DOI:
https://doi.org/10.5585/iji.v10i1.20717Palavras-chave:
Sistema nacional de inovação, Capacidade de inovação, Capacidade de absorção, Crescimento economic, Análise multi-regressão, Países do Brasil, Rússia, Índia, China e África do Sul (BRICS).Resumo
Objetivo do estudo: Esta pesquisa tem como objetivo explorar os diversos impactos dos sistemas nacionais de inovação dos países BRICS, indicando os principais elementos e aspectos de sistemas, como esses aspectos se comprometeram com o funcionamento de todos os sistemas e interpretados dentro do desenvolvimento econômico dessas nações.
Metodologia / Abordagem: Foram recolhidos dados do Banco Mundial (WDI), da Organização Educacional, Científica e Cultural das Nações Unidas (UNESCO), do Gabinete de Patentes e Comércio dos Estados Unidos (USPTO) e da Organização Mundial de Propriedade Intelectual (OMPI) para o Brasil, Rússia, Índia, China e África do Sul (BRICS). Os dados utilizados para a investigação a seguir são séries cronológicas, dados anuais de 1999-2014. A análise de multi-regressão foi concluída com a utilização do pacote estatístico para a ciência social (SPSS).
Originalidade / relevância: pretendemos dedicar à literatura e política de pesquisa, produzindo prova quantitativa baseada no quadro que liga o elemento abrangente do sistema de inovação ao sistema econômico por um longo tempo.
Principais resultados: Os resultados mostraram até que ponto os componentes do NIS dependem um do outro para o Brasil, Rússia, Índia, China e África do Sul (BRICS) – a este respeito, qualquer mudança de um indicador pode afetar outros indicadores no sistema.
Contribuições teóricas / metodológicas: Nossa pesquisa é baseada nas análises conceituais que retiram da literatura existente. É baseado em um modelo para avaliar a dinâmica da capacidade de inovação, impacto de capacidade de absorção e robustez do desenvolvimento econômico.
Contribuições Sociais / Gestão: Nossos resultados têm implicação significativa para os formuladores de políticas.
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