Factors Shaping Consumers Intention in Purchasing Life Insurance Policy in Bangladesh: A Binary Logistic Analysis

Golam Ramij
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Abstract

Abstract This paper investigates the demographic and socio-economic influential factors that work as a motivational tool for purchasing life insurance policies by the eligible consumers of Bangladesh. Using convenience sampling technique, responses of three hundred seventy-eight persons have been analyzed using this study's binary logistic regression model. This study found that demographic variables like age, education, and gender have no significant impact on life insurance policy buying decisions. On the contrary, the number of dependents in a family, nature of work, and monthly income positively impact the policy purchase decision. This study also reveals that insurance literacy has a positive influence, but acquired information about insurance policy negatively impacts consumers' purchasing decisions. In addition to that, the study's findings also show that people usually purchase a life insurance policy for tax benefit purposes instead of investment purposes. The outcomes of the study will be helpful to the insurers and policymakers to find out the major areas of improvement to bring more people under life insurance coverage, and for prospective consumers, it will guide them to understand the benefits of having a life insurance policy. JEL classification numbers: C83, C93, H55, I13. Keywords: Life insurance, Logistic model, Forecasting, Tax benefits, Agent.
影响孟加拉国消费者购买寿险意向的因素:二元Logistic分析
[摘要]本文调查了孟加拉国符合条件的消费者购买人寿保险的动机工具的人口和社会经济影响因素。采用方便抽样技术,对378人的调查结果进行了分析,并采用了本研究的二元逻辑回归模型。该研究发现,年龄、教育程度和性别等人口统计变量对人寿保险购买决策没有显著影响。相反,家庭中受抚养人的数量、工作性质和月收入对保单购买决策有积极影响。本研究还发现,保险素养对消费者的购买决策有正向影响,而保单信息获取对消费者的购买决策有负向影响。除此之外,研究结果还表明,人们购买人寿保险通常是出于税收优惠的目的,而不是出于投资的目的。研究结果将有助于保险公司和政策制定者找出主要的改进领域,使更多的人得到人寿保险的覆盖,对于潜在的消费者,它将引导他们了解拥有人寿保险的好处。JEL分类号:C83, C93, H55, I13。关键词:寿险,Logistic模型,预测,税收优惠,代理
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