Knowledge management and international division of labor in the automotive industry : Considerations on the brazilian case

This paper seeks to contribute to discussions about transformations in the labor market and the international division of production based on the case study of the automotive industry in Brazil. The research was carried out using a quantitative method of analyzing official data on the Brazilian labo...

Full description

Saved in:
Bibliographic Details
Main Author: Maggi, Diego Moreira
Format: Online
Language:Portuguese
Published: Universidade Estadual de Campinas 2024
Subjects:
Online Access:https://econtents.sbu.unicamp.br/inpec/index.php/tematicas/article/view/18481
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper seeks to contribute to discussions about transformations in the labor market and the international division of production based on the case study of the automotive industry in Brazil. The research was carried out using a quantitative method of analyzing official data on the Brazilian labor market from the RAIS database, covering the period between 2006 and 2020. This data was analyzed using official categories of types of occupation and economic activity, segregating assemblers and auto parts suppliers. As a result, it was identified that, in 2020, Brazil had almost half a million formal jobs in the automotive industry, with 63.5% of these jobs in occupations directly linked to production and only 5.6% of “science and arts professionals”. The calculation of an occupational concentration quotient shows that assemblers concentrate proportionally more jobs related to research and development (R&D) than supplier firms. It is argued that the results reinforce the perception that Brazil occupies an intermediate position in the global automotive production network, being mainly responsible for production activities. At the same time, the study reinforces the hypothesis that the need to adapt products to regional markets puts pressure on transnational companies (TNC) to decentralize part of their R&D processes, transferring knowledge to subsidiaries and local companies.
ISSN:2595-315X