2015
DOI: 10.18559/ebr.2015.3.3
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The Determinants of Non-life Insurance Penetration in Selected Countries from South Eastern Europe

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Cited by 7 publications
(7 citation statements)
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References 36 publications
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“…Born and Bujakowski (2022) point out the importance of monetary stability, consumer safeguards, licensing and trading practices, and government transfers, affecting propertycasualty and life-health insurance consumption. Our study departs from the purely macroeconomic factors that were previously examined in studies of non-life insurance demand (Poposki et al, 2015) and insurance expenditures (Trinh et al, 2016). Instead, we show the innate consumer preferences and the idiosyncratic microeconomic linkages that are unique to each insurance entity.…”
Section: Theoretical Frameworkcontrasting
confidence: 61%
“…Born and Bujakowski (2022) point out the importance of monetary stability, consumer safeguards, licensing and trading practices, and government transfers, affecting propertycasualty and life-health insurance consumption. Our study departs from the purely macroeconomic factors that were previously examined in studies of non-life insurance demand (Poposki et al, 2015) and insurance expenditures (Trinh et al, 2016). Instead, we show the innate consumer preferences and the idiosyncratic microeconomic linkages that are unique to each insurance entity.…”
Section: Theoretical Frameworkcontrasting
confidence: 61%
“…This result is consistent with the works of Treeratattanapun (2011), Petkovski.M, et al (2013), and S.L.Dragos (2014. However, the findings of Poposki.K, et al (2015), are not in line with this finding that shows significant but negative impact of education level on demand for non-life insurance. Therefore, based on the regression result, and on the most of empirical studies mentioned above, the researcher rejects the null hypothesis that the education level and the nonlife demand for insurance have no significant relationship, and accepts that education level has an impact on non-life insurance demand in Jordan.…”
Section: Education Levelmentioning
confidence: 94%
“…The OLS regression model has been employed as statistical tool for data analysis. The model to be used in the study is specified in line with the works of Petkovski.K , et al (2013), Poposki.K, et al (2015), andKjosevki.J, et al (2015), with some modifications. The functional relationship between non-life insurance demand and the above-mentioned variables is explored by considering the following equation.…”
Section: Methodsmentioning
confidence: 99%
“…In a study on the Philippine non-life insurance industry, Datu (2016) found no influence of GDP and Inflation on profitability, using both ROA and Operating Ratio model. The impact of inflation was found to be significantly negative on the insurance sector by Camino-Mogro and Bermúdez-Barrezueta (2019) and Deyganto and Alemu (2019), whereas the positive impact of GDP per capita and Inflation in non-life insurance penetration was revealed in a study on selected nations from South-Eastern Europe (Poposki, 2015). In an investigation of 15 countries, Balcilar (2020) found that uncertainty in the economic policies of a nation influences the Insurers.…”
Section: Literature Surveymentioning
confidence: 96%