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Erschienen in: Small Business Economics 4/2023

03.05.2023

Competition and firm recovery post-COVID-19

verfasst von: Miriam Bruhn, Asli Demirguc-Kunt, Dorothe Singer

Erschienen in: Small Business Economics | Ausgabe 4/2023

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Abstract

This paper examines the impact of the COVID-19 crisis on the reallocation of economic activity across firms and whether this reallocation depends on the competition environment. The paper uses the World Bank’s Enterprise Surveys COVID-19 Follow-up Surveys for about 8000 firms, including both small and large firms, in 23 emerging and developing countries in Europe and Central Asia, matched with 2019 Enterprise Surveys data. It finds that during the COVID-19 crisis, smaller firms were hit harder, and economic activity was reallocated toward firms with higher pre-crisis labor productivity. Countries with a strong competition environment experienced more reallocation from less productive to more productive firms than countries with a weak competition environment. The evidence also suggests that reallocation from low- to high-productivity firms during the COVID-19 crisis was stronger compared with pre-crisis times. Finally, the analysis shows that government support measures implemented in response to the crisis may have adverse effects on competition and productivity growth since support went to less productive and larger firms, regardless of their pre-crisis innovation.

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Fußnoten
1
Using the OECD SME definition of having less than 250 employees (OECD, 2017b).
 
2
More information on the ES COVID-19 Follow-up Surveys is available at https://​www.​enterprisesurvey​s.​org/​en/​covid-19.
 
3
For most countries, the surveys were completed before March 2020. For Romania, 92% of the interviews were completed before March 2020. Our results are similar when we exclude the 8% of observations from Romania that were collected in or after March 2020.
 
5
In calculating labor productivity, the outliers are eliminated by first log-transforming total annual sales and the number of permanent full-time employees and then trimming at plus and minus three standard deviations from the mean, as described in World Bank (2021a).
 
6
Local sources were used where Worldwide Bureaucracy Indicators were not available or outdated (Armenia, Azerbaijan, Belarus, Montenegro, North Macedonia, and the Russian Federation).
 
7
Our results are similar if we use a probit model to estimate the regressions with binary outcome variables.
 
8
See, for example, Muzi and others (2022).
 
9
We chose to include country fixed effects since they control for differences in the economic and institutional environment across countries more broadly than including only certain country characteristics as controls. Our results are similar when we don’t use country fixed effects and instead control for the main effect of competition, as well as measures of the economic and institutional environment: Log (GDP per capita), Doing Business indicators measuring various aspects of the business environment, and the BTI governance index.
 
10
The 10th percentile of log labor productivity is 8.87, whereas the 90th percentile is 12.04 (Table 1). We multiply the difference between these two (3.18) by the coefficients on log labor productivity in Table 3 (4.138 and 2.776), to obtain a 13 percentage point difference in the change in sales and a 9 percentage point difference in the change in employment.
 
11
We multiply the difference between 4.09 and 1.61 (2.48) by the coefficients on log number of employees in Table 3 (3.117 and 1.907), to obtain an 8 percentage point difference in the change in sales and a 5 percentage point difference in the change in employment.
 
12
We assume that the sectors did not change between 2017 and 2019.
 
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Metadaten
Titel
Competition and firm recovery post-COVID-19
verfasst von
Miriam Bruhn
Asli Demirguc-Kunt
Dorothe Singer
Publikationsdatum
03.05.2023
Verlag
Springer US
Erschienen in
Small Business Economics / Ausgabe 4/2023
Print ISSN: 0921-898X
Elektronische ISSN: 1573-0913
DOI
https://doi.org/10.1007/s11187-023-00750-w

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