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SSRN Electronic Journal
Article . 2021 . Peer-reviewed
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EconStor
Research . 2021
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Procuring Survival

Authors: Cappelletti, Matilde; Giuffrida, Leonardo M.;

Procuring Survival

Abstract

Public spending (i.e., 'G') enables governments to fulfill their fiscal policies. This paper takes a micro perspective and quantifies the impact of procurement spending - a specific component of G - on firm survival. We find that firms that receive public contracts survive longer, ceteris paribus, and that this effect accrues over time, reaching 20 percentage points after ten years. Our results are based on a novel dataset for Italy that combines balance sheet data on the universe of limited liability firms with administrative records on market entry and exit and quasi-universe of public contract data between 2008 and 2018. For construction auctions, we also rely on bid-level data to inform a regression discontinuity analysis. We find that the survival rate of winners relative to marginal losers is 70% higher after 36 months - or after two years and half of the median contract expiration. We explore several alternative channels that could rationalize our findings. We find that recipients do not become more productive, and their earnings become increasingly dependent on sales to public customers.

Country
Germany
Keywords

government demand, productivity, 330, ddc:330, firm survival, H57, demandshocks, firm dynamics, public procurement, auctions, regression discontinuity design, H32, D44

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
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