Favorable credit to private agents and the local economies in the deprived regions of Brazil: a spatial panel analysis

Luís Abel Silva-Filho (), Carlos Azzoni, André L. S. Chagas () and Gustavo Castro ()
Additional contact information
Luís Abel Silva-Filho: Regional University of Cariri
André L. S. Chagas: University of Sao Paulo
Gustavo Castro: University of Sao Paulo

Letters in Spatial and Resource Sciences, 2023, vol. 16, issue 1, No 41, 11 pages

Abstract: Abstract This article examines how the resources transferred to private economic agents under favorable conditions through Constitutional Funds affect the GDP per capita of municipalities in the deprived regions of Brazil. We utilize data spanning from 2002 to 2019 and employ Spatial Econometrics models to address observed spatial autocorrelation. Additionally, we incorporate loans from other public sources to firms in these municipalities. The results reveal that both sources of loans have a minor positive effect on the GDP per capita of these municipalities.

Keywords: Public Financing; Constitutional Funds; Local GDP; Effects of Public Credit (search for similar items in EconPapers)
JEL-codes: C0 R0 R15 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s12076-023-00363-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:lsprsc:v:16:y:2023:i:1:d:10.1007_s12076-023-00363-7

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/12076

DOI: 10.1007/s12076-023-00363-7

Access Statistics for this article

Letters in Spatial and Resource Sciences is currently edited by Henk Folmer and Amitrajeet A. Batabyal

More articles in Letters in Spatial and Resource Sciences from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().