Innovation support and its effect on employment: the case of Brazil

Purpose Theoretically, the effect of innovation on employment is ambiguous. There is a negative impact due to labor-saving efficiency and a positive impact through increasing competitiveness, leading to business expansion and new hiring. In this regard, we investigated the effect of innovation support on employment for Brazilian firms that received public support for innovation from Finep. Design/methodology/approach We use a novel database by merging Finep and RAIS microdata, which allows for a better identification of the causal effect. Moreover, we use a staggered difference-in-differences (DiD) method recently developed by Callaway and Sant’Anna (2021), specifically designed for situations where treatments occur in different years. Findings We found a statistically significant effect of innovation support on formal employment, especially on firms seeking financing for process innovations (but not product innovations). Originality/value Unlike previous studies assessing the causal effect of Brazilian government support on innovation, we used as a control group companies that applied for support but were not selected. This novel strategy provides a better identification of the causal effect.

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Publication Details

Journal
EconomiA
Published
2025-06-24
DOI
https://doi.org/10.1108/econ-03-2025-0054
Primary Topic
Innovation Policy and R&D
Type
article
Field-Weighted Citation Impact
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article

Innovation support and its effect on employment: the case of Brazil

Maurício Canêdo-Pinheiro, Eduardo Pontual Ribeiro, Guilherme Reis de Carvalho Peres
EconomiA
Innovation Policy and R&D
article

Innovation support and its effect on employment: the case of Brazil

Maurício Canêdo-Pinheiro, Eduardo Pontual Ribeiro, Guilherme Reis de Carvalho Peres
article en

Abstract

Purpose Theoretically, the effect of innovation on employment is ambiguous. There is a negative impact due to labor-saving efficiency and a positive impact through increasing competitiveness, leading to business expansion and new hiring. In this regard, we investigated the effect of innovation support on employment for Brazilian firms that received public support for innovation from Finep. Design/methodology/approach We use a novel database by merging Finep and RAIS microdata, which allows for a better identification of the causal effect. Moreover, we use a staggered difference-in-differences (DiD) method recently developed by Callaway and Sant’Anna (2021), specifically designed for situations where treatments occur in different years. Findings We found a statistically significant effect of innovation support on formal employment, especially on firms seeking financing for process innovations (but not product innovations). Originality/value Unlike previous studies assessing the causal effect of Brazilian government support on innovation, we used as a control group companies that applied for support but were not selected. This novel strategy provides a better identification of the causal effect.

EconomiAVol. 26(2)
Universidade Federal do Rio de Janeiro (BR), Imec the Netherlands (NL), Instituto Federal do Rio de Janeiro (BR), Universidade do Estado do Rio de Janeiro (BR)
Industry, innovation and infrastructure
Openalex Percentile: Top 79%
Innovation Policy and R&D
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