STLGMar 16, 2025

What Can 240,000 New Credit Transactions Tell Us About the Impact of NGEU Funds?

arXiv:2504.01964v2h-index: 7
Originality Synthesis-oriented
AI Analysis

This research provides insights for policymakers on optimizing public spending to stimulate credit access, though it is incremental in refining measurement with big data.

The study analyzed 240,000 credit transactions to assess how public procurement awards, particularly those funded by NGEU, affect new lending, finding that NGEU-funded contracts lead to stronger credit expansion than traditional procurement.

Using a panel data local projections model and controlling for firm characteristics, procurement bid attributes, and macroeconomic conditions, the study estimates the dynamic effects of procurement awards on new lending, a more precise measure than the change in the stock of credit. The analysis further examines heterogeneity in credit responses based on firm size, industry, credit maturity, and value chain position of the firms. The empirical evidence confirms that public procurement awards significantly increase new lending, with NGEU-funded contracts generating stronger credit expansion than traditional procurement during the recent period. The results show that the impact of NGEU procurement programs aligns closely with historical procurement impacts, with differences driven mainly by lower utilization rates. Moreover, integrating high-frequency financial data with procurement records highlights the potential of Big Data in refining public policy design.

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