Skill-based functional specialization in trade: an input–output analysis of multiscalar value chains in Brazil

Eduardo Sanguinet, Carlos Azzoni, Miguel Atienza and Augusto Mussi Alvim

Spatial Economic Analysis, 2022, vol. 17, issue 4, 471-498

Abstract: Sophisticated spatial labour markets can promote better opportunities for functional upgrading in value-added trade. This paper estimates the skill-based functional specialization in Brazilian labour factor content in trade in value-added (LTiVA), considering different geographical scales. We combined an interregional input–output model for Brazilian states with occupational data to identify the skill intensity embedded in LTiVA based on the hypothetical extraction method (HEM) technique. Our findings show that the largest Southeastern economic area specializes in highly sophisticated functions, while the rest of the country embodies low skills in value-added trade for domestic and global trade levels. Furthermore, the results reveal a central role for the São Paulo state governing the subnational value chains and reinforcing the international uneven spatial functional division pattern at the subnational level.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/17421772.2022.2081714 (text/html)
Access to full text is restricted to subscribers.

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:taf:specan:v:17:y:2022:i:4:p:471-498

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RSEA20

DOI: 10.1080/17421772.2022.2081714

Access Statistics for this article

Spatial Economic Analysis is currently edited by Bernie Fingleton and Danilo Igliori

More articles in Spatial Economic Analysis from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().