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Avaliação de dinâmicas no mercado de trabalho da indústria brasileira
[Evaluation of dynamics in the Brazilian industrial labor market]

Author

Listed:
  • Rúbia Silene Alegre Ferreira

    (Universidade do Estado do Amazonas (UEA))

  • Vinícius Neres da Conceição

    (Universidade Católica de Brasília (UCB))

  • Wilfredo Sosa Sandoval

    (Universidade Católica de Brasília (UCB))

Abstract

Este estudo avalia a dinâmica do mercado industrial brasileiro, com foco em nove divisões industriais, entre 1994 e 2021, por meio da metodologia Data Concentration Analysis (DCA). A análise utiliza o Quociente Locacional Dinâmico, acompanhado da derivação do Índice de Concentração (IC). Os resultados apontam fortes disparidades regionais: regiões Norte, Nordeste e o estado do Mato Grosso apresentam elevados Índices de Concentração, revelando dependência de setores específicos e falta de diversificação econômica. Em contraste, São Paulo e Rio de Janeiro exibem ICs baixos, indicando uma distribuição industrial mais equilibrada, reflexo de economias diversificadas e infraestrutura desenvolvida. A indústria de transformação apresenta ICs baixos, enquanto a alimentícia alcança resultados medianos devido ao seu potencial produtivo e à sua segmentação. Conclui-se que políticas públicas que incentivem a diversificação, qualificação profissional e inovação tecnológica são essenciais para equilibrar o desenvolvimento industrial e promover ganhos no mercado de trabalho brasileiro. This study assesses the dynamics of the Brazilian industrial market, focusing on nine industrial divisions, between 1994 and 2021, using the Data Concentration Analysis (DCA) methodology. The analysis uses the Dynamic Locational Quotient, accompanied by the derivation of the Concentration Index (CI). The results point to strong regional disparities: the North, Northeast regions and the state of Mato Grosso have high Concentration Indexes, revealing dependenceon specific sectors and a lack of economic diversification. In contrast, São Paulo and Rio de Janeiro have low CIs, indicating a more balanced industrial distribution, reflecting diversified economies and developed infrastructure. The manufacturing industry has low CIs, while the food industry achieves average results due to its production potential and segmentation. It is concluded that public policies that encourage diversification, professional qualification and technological innovation are essential to balance industrial development and promote gains in the Brazilian labor market.

Suggested Citation

  • Rúbia Silene Alegre Ferreira & Vinícius Neres da Conceição & Wilfredo Sosa Sandoval, 2025. "Avaliação de dinâmicas no mercado de trabalho da indústria brasileira [Evaluation of dynamics in the Brazilian industrial labor market]," Revista Brasileira de Estudos Regionais e Urbanos, Associação Brasileira de Estudos Regionais e Urbanos (ABER), vol. 19(2), pages 221-239, May.
    • Handle: RePEc:ris:rberur:0239
    DOI: 10.54766/rberu.v19i2.1148
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    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

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