Perception of Uninsured Person Towards the Life Insurance Policy

Ghimire, Rabindra

doi:10.2139/ssrn.3042662

Cited by 2 publications

(7 citation statements)

References 6 publications

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“…Therefore, H3 is supported. This result supported the findings from previous studies and the conceptual link between these variables (Loon et al, 2019;Ghimire, 2017;Mitra, 2017;Fukuchi, 2016;Mahdzan & Victorian, 2013;Arun et al, 2012;Loke & Goh, 2012).…”

Section: Revista De Ciencias Sociales Y Humanidadessupporting

confidence: 92%

“…The results are consistent with the conceptual link that those with higher income will have a higher demand for life insurance (Stroe & Iliescu, 2013;Beck & Webb, 2003;Yaari, 1965). The results also supported previous research findings (Loon et al (2019), Ghimire (2017), Fukuchi (2016), Shahriari & Shahriari (2016), Sarkodie, and Yusif (2015), Mahdzan and Victorian (2013).…”

Section: Revista De Ciencias Sociales Y Humanidadessupporting

confidence: 91%

“…With current economics, the demand to buy life insurance is mainly influenced by one's salary or income. Previous studies by Loon et al (2019), Ghimire (2017), Fukuchi (2016), Shahriari & Shahriari (2016), Sarkodie and Yusif (2015), Redzuan (2014), Mahdzan and Victorian (2013) revealed that there was a significant and positive relationship between income level and demand for life insurance. The researchers agreed that the demand for life insurance would have been affected by their amount of income and source of income.…”

Section: Income Level and The Demand For Life Insurancementioning

confidence: 87%

“…The present value of beneficiary utilization as the demand for life insurance rises as the policyholder is aware of the uncertain life expectancy and greater legacy purpose. Previous researchers found that there was a significant and positive correlation between income protection and demand of life insurance (Loon et al, 2019;Ghimire, 2017;Mitra, 2017;Fukuchi, 2016;Mahdzan & Victorian, 2013;Arun et al, 2012;Loke & Goh, 2012). Therefore, the following hypothesis is established H 3 : Income protection is positively related to the demand for life insurance.…”

Section: Income Protection and The Demand For Life Insurancementioning

confidence: 94%

“…Figure 1 shows the conceptual framework for this study. It was adapted from the conceptual framework developed by Ghimire (2017), Sarkodie and Yusif (2015), Stroe and Iliescu (2013). The demand for life insurance is the dependent variable.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

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The demand for life insurance: a quantitative study among “generation y” in the Klang Valley, Malaysia

Chung

2020

rgn

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Despite the importance of life insurance as an investment for protection, especially the young generation, they still are unaware of the importance of purchasing their own life insurance. Therefore, the objective of this study was to investigate factors related to the demand for life insurance among “Generation Y” in the Klang Valley, Malaysia. Using a purposive sampling method, a total of 320 respondents from Klang Valley, Malaysia were involved in this study. All data gathered were tabulated and analyzed using SPSS, employing Descriptive Analysis, Independent Sample T-Test, One-way ANOVA, Pearson’s Correlation Analysis, and Multiple Linear Regression Analyses. The results showed that there is a moderately important level of demand for life insurance among the “Generation Y”. Significant differences were found in the demand for life insurance in accordance with gender, age group, monthly income, and education level. Besides, significant relationships were found between income level, knowledge of life insurance, income protection, risk attitude, and demand for life insurance. Furthermore, risk attitude, income level, knowledge of life insurance, and income protection were the predictor factors of demand for life insurance.

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Section: Revista De Ciencias Sociales Y Humanidadessupporting

confidence: 92%

Section: Revista De Ciencias Sociales Y Humanidadessupporting

confidence: 91%

Section: Income Level and The Demand For Life Insurancementioning

confidence: 87%

Section: Income Protection and The Demand For Life Insurancementioning

confidence: 94%

Section: Conceptual Frameworkmentioning

confidence: 99%

See 3 more Smart Citations

The demand for life insurance: a quantitative study among “generation y” in the Klang Valley, Malaysia

Chung

2020

rgn

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Determinants of Demand for Life Insurance Policy in Kapilvastu District

Jnawali

Jaiswal

2022

Lumbini J. Bus. & Econ.

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This study aims to achieve the key objectives of the factors affecting the demand for life insurance in Kapilvastu district. It is a novel study in the field of the insurance industry in the context of Kapilvastu district, as this study incorporates socio-demographic variables, saving motives, and financial literacy as a determinant of demand for life insurance. Primary data has been collected through convenience sampling from a sample of 384 individuals; the study has analyzed the influence of socio-demographic variables, saving motives, and financial literacy on life insurance demand. To determine the relationship between the demographic factors and life insurance demand way ANOVA tests have been conducted. Similarly, to test the association between categorical variables chi-square test has been used. The relationship between financial literacy and saving motives (precautionary, bequest, life cycle, and wealth accumulation motives) with life insurance demand is then analyzed using multiple regression. Results have confirmed that among all the socio-demographic variables, the number of dependents, level of education, and level of income have a significant effect on the demand for life insurance. Similarly, bequest motives and financial literacy were positive contributors to life insurance policy demand. However, it is worth noting that although marital status has an insignificant effect on life insurance policy demand but unmarried individuals still tend to have more life insurance in comparison to married and widowed respondents. Other determinants of saving motives like precautionary motives, life cycle motives, and wealth accumulation motives have an insignificant effect on life insurance demand.

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Perception of Uninsured Person Towards the Life Insurance Policy

Cited by 2 publications

References 6 publications

The demand for life insurance: a quantitative study among “generation y” in the Klang Valley, Malaysia

The demand for life insurance: a quantitative study among “generation y” in the Klang Valley, Malaysia

Determinants of Demand for Life Insurance Policy in Kapilvastu District

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