Relaxing credit constraints in emerging economies: The impact of public loans on the productivity of Brazilian manufacturers
Filipe Lage de Sousa and
Gianmarco Ottaviano
International Economics, 2018, issue 154, 23-47
Abstract:
In emerging economies credit constraints are often perceived as one of the most important market frictions hampering firm productivity growth in manufacturing. Huge amount of public money is devoted to the removal of such constraints but its effectiveness is still subject to an intense policy debate. This paper contributes to this debate by analyzing the effects of the Brazilian Development Bank (BNDES) loans. Exploiting the unique features of a dataset on BNDES loans to Brazilian manufactures, it finds that credit constraints facing Brazilian manufacturing firms are real, in particular for firms that apply to BNDES repeatedly, and BNDES support has allowed granted firms to match the performance of similar unconstrained firms but not to outperform them.
Keywords: Credit constraints; Firm productivity; Public loans; BNDES (search for similar items in EconPapers)
JEL-codes: G28 H25 O38 (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://www.sciencedirect.com/science/article/pii/S2110701717300914 (text/html)
Related works:
Journal Article: Relaxing credit constraints in emerging economies: The impact of public loans on the productivity of Brazilian manufacturers (2018) 
Working Paper: Relaxing credit constraints in emerging economies: the impact of public loans on the productivity of Brazilian manufacturers (2017) 
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:cii:cepiie:2018-q2-154-3
Access Statistics for this article
More articles in International Economics from CEPII research center Contact information at EDIRC.
Bibliographic data for series maintained by ().