Cross-country evidence on the allocation of COVID-19 government subsidies and consequences for productivity
Tommaso Bighelli,
Tibor Lalinsky and
Juuso Vanhala
Journal of the Japanese and International Economies, 2023, vol. 68, issue C
Abstract:
We study the consequences of the Covid-19 pandemic and related policy support on productivity. We employ an extensive micro-distributed exercise to access otherwise unavailable individual data on firm performance and government subsidies. Our cross-country evidence for five EU countries shows that the pandemic led to a significant short-term decline in aggregate productivity and the direct support to firms had only a limited positive effect on productivity developments. A thorough comparative analysis of the distribution of employment and overall direct subsidies, considering separately also relative firm-level size of support and the probability of being supported, reveals ambiguous cross-country results related to the firm-level productivity and points to the decisive role of other firm characteristics.
Keywords: Covid-19; Productivity; Firm-level data; Government support; Employment subsidies; Cross-country analysis (search for similar items in EconPapers)
JEL-codes: D22 H25 J38 L29 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0889158323000011
Full text for ScienceDirect subscribers only
Related works:
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:eee:jjieco:v:68:y:2023:i:c:s0889158323000011
DOI: 10.1016/j.jjie.2023.101246
Access Statistics for this article
Journal of the Japanese and International Economies is currently edited by Takeo Hoshi
More articles in Journal of the Japanese and International Economies from Elsevier
Bibliographic data for series maintained by Catherine Liu ().