Banca de QUALIFICAÇÃO: Tales Lins Costa

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : Tales Lins Costa
DATE: 10/11/2022
TIME: 14:00
LOCAL: A defesa será realizada por videoconferência
TITLE:

Brazilian Manufacturing Industry: an analysis of sector dynamics by the input-output matrix (2010-2018)


KEY WORDS:

Industrial Dynamics; Manufacturing Industry; Deindustrialization; Input-Output Matrix; Principal Component Analysis.


PAGES: 34
BIG AREA: Ciências Sociais Aplicadas
AREA: Economia
SUMMARY:

This dissertation aims to analyze and discuss what were the changes that occurred in the dynamics of the Brazilian manufacturing industry between 2010 and 2018. As a key sector of the economy, we sought to understand within the authors of Brazilian deindustrialization if Brazil fits into this process and whether it is homogeneous across sectors, and what would be the best indicators to be used. It is understood that traditional analysis indicators, such as the relationship between the value of industrial transformation and the gross value of industrial transformation, may be biased and not express the total movement of the sector. Therefore, in this work, we seek to contribute to the debate with alternative ways to the issue of deindustrialization, contributing to the construction of indicators at sectoral levels. Thus, as a measure of performance analysis, a new relative industrial sectoral performance indicator will be used, verifying the changes in the productive structure by the different levels of technological intensity and identifying if there is a relative loss of any specific sector within the manufacturing industry. In addition to this tool, the instrument of the input-output matrix model will be used, allowing a more complete analysis of the dynamics of the manufacturing industry from the creation of the Rasmussen-Hirschman indices of forward and backward chaining and the employment, income, and output multipliers.


BANKING MEMBERS:
Interna - 5161871 - MILENE TAKASAGO
Interno - 1665706 - RICARDO SILVA AZEVEDO ARAUJO
Notícia cadastrada em: 01/11/2022 16:24
SIGAA | Secretaria de Tecnologia da Informação - STI - (61) 3107-0102 | Copyright © 2006-2024 - UFRN - app38_Prod.sigaa32