Aspects Influencing Personal Life and Health Insurance Purchase
822 Return: Study of Economic And Business Management, Vol 2 (8), August 2023
However, Indonesia's number is falling behind other countries based on two insurance
indicators: insurance penetration and insurance density. According to OECD, 2022, Indonesia’s
insurance penetration in 2021 is at 1.6%, much lower than the global average of insurance
penetration of 6.8%. Even compared to neighboring countries in ASEAN and APAC like
Singapore, Japan, Malaysia, Philippines, and Vietnam which ratios are 9.3%, 8.3%, 5.3%, 2%,
and 2,3%, respectively (Atlas Magazine, 2022). Indonesia’s insurance penetration number is one
of the lowest among ASEAN countries.
Other indicators like insurance density compare the insurance premium to the total
population. The figures also did not differ much from the insurance penetration. Indonesia’s
number is still the lowest among other countries in Asia. Indonesia's insurance density is the
lowest in emerging insurance markets, with an insurance density of USD 70 in 2022. Other
neighboring countries within ASEAN, like the Philippines and Vietnam, have higher figures with
USD 72 and USD 95, respectively. Malaysia and Thailand have significantly higher insurance
densities at 395 and 601 USD. India also has a higher number, with 91 USD. Indonesia's insurance
density is also far behind developed countries such as Singapore and Korea, which are at 8304
and 3832 USD.
Several studies show that income can influence and impact the purchase decision and
insurance penetration (Bah & Abila, 2022; Bhatia et al., 2013; Sen & Madheswaran, 2013). So we can
compare the GDP per capita, one of the income indicators, to the insurance density to get a ratio.
The result is that Indonesia has the lowest GDP Per Capita to Insurance Density ratio. It means
that people were more reluctant to spend their money to buy Insurance in Indonesia.
The common-sense approach is to promote more insurance selling, however, the overall
insurance industry in Indonesia had a bad reputation, primarily because of the common practice
of mis-spelling in Wulandari et al., (2023)-one of the issues of Health and Life Insurance in
Indonesia regarding unit-linked products. Unit-linked life insurance is “the application of unit
trust principles to the ‘savings element’ of each premium paid and the application of insurance
principles to the remaining ‘insurance element’ only” (Melville, 1970). It is an insurance contract
associated with investments or Produk Asuransi yang Dikaitkan Dengan Investasi (PAYDI) in
Indonesian. On the application of selling unit-linked insurance, the focus often shifted to the
investments part of the contract, and in reality, the interest is not as great as expected; even if the
Insurance Acquisition costs are deducted, it can lead to losses, rather than profits and in the end,
harm the customer if the customer did not aware in Harjo, (2020).
However, this is not the only reason why insurance penetration and density in Indonesia is
low. Research suggests that also lack of financial literacy, insurance awareness, and also
demographic factors can influence the purchase decision of life insurance (Everlin & Dahlan,
2020; Kang’ethe, 2019; Kansra & Gill, 2016; Sen & Madheswaran, 2013; Weedige et al., 2019).
The novelty of this research is finding out the aspects and influencing people to buy personal
health and life insurance in Indonesia, where there are many frauds and scams happening. This
research also looks at how those factors influence the buying decision of insurance.
Understanding these factors can help insurance marketers adjust how they sell so that potential
customers can be more interested and ultimately increase insurance sales.
RESEARCH METHOD
This research will be conducted from the point of view of interpretivism. This point of view
emphasizes how people think and see the world according to its sociocultural background; the
researcher will also actively participate in the study since it is essential to develop a
comprehensive understanding of the participant, as well as their behaviors, thoughts, and meaning
(Phair & Warren, 2021). In addition to that, the inductive approach will fit the topics of this research
regarding insurance, as there is not much research conducted in the field of insurance buying
behaviors and the phenomenon behind the low number of insurance indicators. This research will
then create new theories on why those phenomena happened.