Using the full contract-level census of Brazil's Economic Subsidy program–the country's main instrument for non-reimbursable R&D grants–we identify the determinants of resource allocation across firms and regions and of project execution. We analyse 2069 contracts (R$ 7.9 billion, 2007–2025) with OLS, Tobit, probit, negative binomial, Cox, quantile regression, TWFE panel, and event-study models, with IV/2SLS and Arellano–Bond GMM as robustness checks. Southeast-based firms receive grants approximately 31% larger than comparable firms elsewhere, a premium that rises to 65% at the 90th percentile; a phase-by-phase analysis shows this premium is a post-2020 phenomenon, absent in 2007–2019, and it is absorbed once state GDP per capita is controlled, indicating it reflects the Southeast's economic scale rather than a pure regional bias. Execution rates fall as grants grow larger (a 2.2-percentage-point drop per doubling of grant value), and larger counterpart (co-financing) commitments predict a higher probability of contract termination. Geographic concentration is high (Gini=0.751) but exhibits no significant trend over 2007–2025. Because the data cover awarded contracts only, allocation estimates are interpreted as conditional associations rather than causal additionality effects.
No takes yet. Share an insight, caveat, or question.
Kerbeg et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: