Hierarchical sectoral grouping of Brazilian industry with input-output data
Danilo Cristian da Silva Sousa and
Paulo Guilherme Alarcon Fernandes
Quaestum, 2025, vol. 6
Abstract:
This study proposed a sectoral analytical methodology for the Brazilian economy, based on the input-output approach originally developed by Wassily Leontief for the United States economy. The objective was to investigate the existence of dissimilarities between the industrial sector and other sectors in performance variables related to foreign trade, labor income generation, and labor productivity. The analysis was conducted using clustering and network methods, utilizing data from the Input-Output Matrix (IOM) of 2015 and the Resource and Use Tables (RUT) of 2019 from the Brazilian Institute of Geography and Statistics (IBGE). This clustering allowed for the identification of a positive differential in certain industrial activities compared to those of agriculture and services, positioning them ahead in Brazil's path towards income levels comparable to those of developed countries. Furthermore, network analysis revealed that external demand and consumption by Brazilian households are the main destinations for the production generated by industrial activities. It is concluded that, if Brazil seeks economic development through the expansion of industrial production, it is essential to consider alternatives to promote sustained growth in exports and consumption of goods by Brazilian households.
Keywords: International; Relations/Trade (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/392482/files/8 ... 6180-10-20250415.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:quaest:392482
Access Statistics for this article
More articles in Quaestum from University of Sao Paulo Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().