Determinantes da manutenção do emprego em tempos de Indústria 4.0: o caso da agropecuária no Brasil
The insertion of information and communication technologies can cause imbalances between labor supply and demand. Recent studies show that in Brazil, one of the sectors most impacted by automation processes will be the agricultural sector. In this sense, the aim of this study was to investigate t...
Na minha lista:
| Autor principal: | |
|---|---|
| Outros Autores: | |
| Formato: | Dissertação |
| Idioma: | pt_BR |
| Publicado em: |
Universidade Federal do Rio Grande do Norte
|
| Assuntos: | |
| Endereço do item: | https://repositorio.ufrn.br/handle/123456789/52080 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
| Resumo: | The insertion of information and communication technologies can cause imbalances between
labor supply and demand. Recent studies show that in Brazil, one of the sectors most
impacted by automation processes will be the agricultural sector. In this sense, the aim of
this study was to investigate the determinants of job retention for agricultural workers in
the Industry 4.0 era. For this purpose, a logistic regression model was used to estimate
the probability of a given worker being employed, given a set of explanatory variables.
This study innovated by incorporating the probabilities of automation associated with
occupations estimated by Frey and Osborne (2013), converted to the Brazilian labor
market by Lima and Almeida (2019) as an explanatory variable for the employability of
agricultural workers. The database used in this research was the RAIS year 2019. The
main results indicate that education, employment tenure, and income positively impact
the probability of an individual being employed in all five Brazilian regions. Meanwhile,
individuals associated with occupations that have a high probability of automation have an
expected probability of being employed lower than those associated with low probability.
Therefore, the results reinforce the need for investment in professional qualification to
provide workers with skills aligned with the needs of contemporary agriculture. |
|---|