Efficiency of insurance companies in the Czech Republic and Poland

• Authors: Eva Grmanová , Ryszard Pukala

Abstracts

EN

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.

Keywords

EN

efficiency; efficiency score; insurance companies; Data Envelopment Analysis; Tobit analysis

• Publisher: Instytut Badań Gospodarczych
• Journal: Oeconomia Copernicana
• Year: 2018
• Volume: 9
• Issue: 1
• Pages: 71-85

Dates

published

2018

Contributors

author

Eva Grmanová

• Alexander Dubcek University of Trencin

author

Ryszard Pukala

• The Bronislaw Markiewicz State Higher School of Technology and Economics in Jaroslaw

Identifiers

DOI

10.24136/oc.2018.004

Biblioteka Nauki

18797289