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Productivity Analysis of Latvian Companies Using Orbis Database

Olegs Krasnopjorovs and Konstantins Kovalovs ()
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Konstantins Kovalovs: LU - University of Latvia

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Abstract: This research study uses ORBIS microdata at the company level to analyse productivity of 167 thousand economically active Latvian companies over 2011-2018. The aim of the study is twofold-to find factors consistently associated with productivity at the company level; and to recommend possible criteria for companies to receive a state support (from the view of enhancing aggregate productivity in the long term). Our research results show that productivity of Latvian companies is positively related to their size, age, as well as location closer to Riga and other big cities. However, there is a substantial within-group variation in productivity between companies. Multivariate regression results show that location, size, age and economic sector explain only up to 19% of productivity differences between companies. In addition, distribution of companies by productivity has a positive skewness. This suggests that there is a small number of highly productive companies, while for most companies the productivity is lower than the average. Finally, we propose three criteria for companies to receive a state support: (1) high relative productivity given size, age, sector and location; (2) belonging to a group of companies with a higher probability of survival; (3) carrying out a significant part of economic activity in areas with a high unemployment rate.

Keywords: productivity; micro data; ORBIS; company size; company age; company location (search for similar items in EconPapers)
Date: 2021-05-14
New Economics Papers: this item is included in nep-eff and nep-sbm
Note: View the original document on HAL open archive server: https://hal.science/hal-03548342
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Published in New Challenges in Economic and Business Development - 2021, Inna Romanova, May 2021, Riga, Latvia. pp.227-236

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