Efficiency of insurance companies in the Czech Republic and Poland

Research background: The insurance market is an important part of the financial system. The international concept of insurance operations brings certainty and helps to balance the economic results. Purpose of the article: The aim of the paper is to compare the efficiency of life insurance of commerc...

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Bibliographic Details
Published inOeconomia Copernicana Vol. 9; no. 1; pp. 71 - 85
Main Authors Grmanová, Eva, Pukala, Ryszard
Format Journal Article
LanguageEnglish
Published Torun Institute of Economic Research 01.03.2018
Instytut Badań Gospodarczych
Nicolaus Copernicus University Press
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Summary:Research background: The insurance market is an important part of the financial system. The international concept of insurance operations brings certainty and helps to balance the economic results. Purpose of the article: The aim of the paper is to compare the efficiency of life insurance of commercial insurance companies in the Czech Republic and Poland using the Data Envelopment Analysis model (DEA). Methods: The methods used in the paper are descriptive statistics, DEA model and Tobit regression model. DEA models are nonparametric quantitative models for efficiency assessment. They use linear programming to transform multiple inputs into multiple outputs. The efficiency of the subjects analyzed is assessed based on the efficiency scores. Findings Value added: The subject of our analysis was 17 commercial insurance companies in the Czech Republic and 26 commercial insurance companies in Poland. Ten insurance companies were efficient on the common Czech-Polish insurance market. The share of efficient insurance companies was approximately equal. The arithmetic mean of the efficiency scores was higher in Poland than in the Czech Republic. The variability of the efficiency scores of Czech insurance companies was greater than the variability of the efficiency scores of Polish insurance companies. The correlations with efficiency score as the dependent variable and with market share as the independent variable of Tobit regression were very low.
ISSN:2083-1277
2353-1827
DOI:10.24136/oc.2018.004