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Determinants of Insurance and Insurer Preferences Among Financial Consumers in ASEAN: Evidence from Myanmar, Vietnam, and Indonesia Cover

Determinants of Insurance and Insurer Preferences Among Financial Consumers in ASEAN: Evidence from Myanmar, Vietnam, and Indonesia

By: Soyoung Lim and  Hongjoo Jung  
Open Access
|Dec 2025

Figures & Tables

Definition and Classification of Variables

VariablesDefinition
lnINC (Income)Log annual income [ISD]
REL (Religiosity)Sum of likert scales
FLI (Financial literacy)Sum of correct answers
FINT (Financial trust)Sum of likert scales
GOVT (Government trust)Sum of likert scales
SIT (Social insurance trust)Sum of likert scales
PIT (Private insurance trust)Sum of likert scales
EDU (Education)1= > high school
0= ≤ high school
AGE (Age)Age in years
GEN (Gender)1=male
0=female
SPP (Insurer preference)1=prefer social ins.
2=prefer private ins.
3= neutral
LNP (Insurance preference)1=prefer life ins.
2=prefer non-life ins.
3=neutral

Socio-demographic Characteristics

ClassificationNo.%
Myanmar (N=242)Vietnam (N=401)Indonesia (N=488)MyanmarVietnamIndonesia
Age20's7011718628.929.238.1
30's10316522242.641.145.5
40's46646519.016.013.3
50's2027128.36.72.5
over 6032831.27.00.6
GenderMale8617326635.543.154.5
Female15622822264.556.945.5
ResidenceRural area34684714.017.09.6
Small town994812040.912.024.6
City10928532145.071.165.8
JobFarmer164576.611.21.4
Public official97374240.19.28.6
Company worker5517622522.743.946.1
Self-employed457014718.617.530.1
Others29736712.018.213.8
EducationPrimary school101721.24.20.4
Middle School739152.99.73.1
High School14721675.818.034.2
Bachelors13223728354.559.158.0
Masters73342130.28.54.3
Doctoral13205.40.50
Marital StatusMarried10420831643.051.964.8
Single12914815453.336.931.6
Divorced228140.87.02.9
Widowed71742.94.20.8
ReligionBuddhist237156997.938.91.8
Hinduist3051.201.0
Catholic266860.816.517.6
Muslim0438601.079.1
None01752043.60.4

MNL Results: Insurance Preference

MyanmarVietnamIndonesia
Independent VariableLifeNon-lifeLifeNon-lifeLifeNon-life
Intercept0.129−5.198−3.526−3.090−2.414−1.436
lnINC (Income)0.0980.2760.2400.0680.133−0.170
EDU (Education)−1.351*0.2350.0940.093−0.070−0.421
FLI (Fin. Literacy)−0.0960.349**−0.0060.0170.256***0.302*
FINT (Fin. Trust)0.1130.157−0.0080.164−0.0130.027
Age−0.0110.0200.051***0.0200.0060.003
GEN (Gender/Male)0.1780.403−0.1130.1500.792***0.520
Pseudo R2 (Nagelkerke)0.185 0.087 0.103
−2 Log Likelihood431.513 739.780 853.183
N242 401 488

Structure of Survey Questionnaire

VariablesNo.Item Nos.Measures
Demographic71–7Multiple choice/short
Income18Short answer
Religiosity39Likert 7 scales
Financial literacy711–14OX, Multiple choice
Financial trust115Likert 7 scales
Government trust416Likert 7 scales
Social insurance trust617Likert 7 scales
Private insurance trust618Likert 7 scales
Insurance preference121Multiple choice
Insurer preference122Multiple choice

Characteristics of Insurers and Insurance Preference

ClassificationMyanmarVietnamIndonesia
Frequency (No.)(%)Frequency (No.)(%)Frequency (No.)(%)
Insurer preference (Society/Private)Social insurance preferred4317.819849.416133.0
Private insurance preferred8233.97117.78317.0
Neutral11748.313232.924450.0
Total242100.0401100.0488100.0
Insurance preference (Life/Non-life)Life insurance preferred6125.221453.423347.7
Non-life insurance preferred8535.15513.7418.4
Neutral9639.713232.921443.9
Total242100.0401100.0488100.0

Results of Exploratory Factor Analysis

Factor nameItemFactor No.
1234567
SIT (Social Insurance Trust)28_3.209.793.101.075.240.016.207
28_1.229.760.115.107.192.030.192
28_2.266.755.092.094.193.042.215
28_4.209.750.141.038.224.043.231
28_6.229.723.155.005.233−.017.232
28_5.227.718.221.039.193.037.187
PIT (Private Insurance Trust)29_3.379.290.054.106.720.024.115
29_1.378.277.036.115.712.031.096
29_2.415.272.065.104.710.051.100
29_4.399.245.050.119.702.016.123
29_6.421.241.068.111.670.042.114
29_5.434.255.143.112.631.042.093
REL (Religiosity)9_1.033.042.085.216.034.936−.052
9_3.025.032.080.210.046.923−.031
9_2.020.031.115.274.031.894−.070
GOVT (Government Trust)27_6.112.217.107−.028.083−.049.832
27_5.038.154.046−.143.123−.129.774
27_1.073.335.082.121.123−.031.712
27_4.118.335.093.163.050.064.675
Eigenvalue5.2664.4643.9053.8193.6452.7172.670
Common variance (%)14.62912.39910.84710.60910.1257.5487.418
Cumulative variance (%)14.62927.02737.87448.48458.60966.15773.575

Results of Reliability Analysis

Factor nameItemWhen removing item, αCronbach's α
REL (Religiosity)9-1.909.952
9-2.946
9-3.935
GOVT (Government Trust)27-1.772.824
27-4.798
27-5.806
27-6.737
SIT (Social Insurance Trust)28-1.914.926
28-2.912
28-3.908
28-4.912
28-5.918
28-6.914
PIT (Private Insurance Trust)29-1.917.931
29-2.914
29-3.915
29-4.918
29-5.923
29-6.920

Insurance Premiums in Emerging Asian Markets

RankingCountryLife Insurance premium (%)Non-life Insurance premium (%)Total premium
2China3390,400 (54%)333,264 (46%)723,664
10India100,185 (74%)35,773 (26%)135,958
27Thailand14,566 (55%)12,030 (46%)26,380
32Malaysia14,349 (71%)7,778 (38%)20,237
34Indonesia10,576 (58%)5,671 (31%)18,353
43Vietnam6,551 (69%)2,896 (31%)9,447
45Philippines5,277 (68%)2,480 (32%)7,758
Others647 (75%)217 (25%)864

j_irfc-2025-0008_tab_006

VariableConstructItems (Measurement)
RELReligiosity
  • Measured on a 7-point Likert scale (1=Strongly Disagree, 7=Strongly Agree)

  • 1. I believe in the existence of God.

  • 2. My religious beliefs are very important in my life.

  • 3. I attend religious services or events regularly (e.g., every week).

  • Sources: Scheve & Stasavage (2005), Noussair et al. (2013), Fabian Huber (2012), World Value Survey (2020)

GOVTGovernment Trust
  • Measured on a 7-point Likert scale (1=Strongly Distrust, 7=Strongly Trust)

  • How much do you trust the following institutions?

  • 1. The Parliament (National Assembly)

  • 2. The Government (Administration)

  • 3. Political Parties

  • 4. Civil Service

  • Sources: World Value Survey (2020)

SITSocial Insurance Trust
  • Measured on a 7-point Likert scale (1=Strongly Distrust, 7=Strongly Trust)

  • How much do you trust the following social insurance schemes?

  • 1. Public Pension

  • 2. National Health Insurance

  • 3. Industrial Accident Compensation Insurance

  • 4. Unemployment Insurance

  • 5. Long-term Care Insurance

  • 6. Overall Social Security System

  • Sources: Jung & Oh (2005), Jin (2012)

PITPrivate Insurance Trust
  • Measured on a 7-point Likert scale (1=Strongly Distrust, 7=Strongly Trust)

  • How much do you trust the following regarding private insurance?

  • 1. Life Insurance Companies

  • 2. Non-life (General) Insurance Companies

  • 3. Foreign Insurance Companies

  • 4. Domestic Insurance Companies

  • 5. Insurance Agents/Solicitors

  • 6. The Insurance Industry in general

  • Sources: Jung & Oh (2005), Jin (2012)

FLIFinancial Literacy
  • Sum of correct answers (1 point for each correct answer)

  • 1. (Interest) Suppose you had $100 in a savings account and the interest rate was 2% per year. After 5 years, how much do you think you would have? (More than $102 / Exactly $102 / Less than $102)

  • 2. (Inflation) Imagine that the interest rate on your savings account was 1% per year and inflation was 2% per year. After 1 year, would you be able to buy: (More / The same / Less) than today?

  • 3. (Risk Diversification) Buying a single company's stock usually provides a safer return than a stock mutual fund. (True / False)

  • 4. (Bond Price) If interest rates rise, what will typically happen to bond prices? (Rise / Fall / Stay the same / No relationship)

  • Sources: Lusardi & Mitchell (2011), Lusardi (2019), Tennyson (2010)

MNL Results: Insurer Preference

MyanmarVietnamIndonesia
Independent VariableSocialPrivateSocialPrivateSocialPrivate
Intercept1.973−5.703−1.112−2.4462.475−2.951
lnINC (Income)−0.2070.3380.0310.119−0.337*0.240
REL (Religiosity)−0.0880.0500.003−0.024−0.007−0.047
GOVT (Govt. Trust)−0.0130.0130.0080.0370.054*0.027
SIT (Social Ins. Trust)0.005−0.069*−0.008−0.0400.017−0.080**
PIT (Private Ins. Trust)−0.0070.097**−0.0120.042−0.0460.096**
Age0.0200.0140.045***0.0060.003−0.012
Pseudo R2 (Nagelkerke)0.119 0.074 0.105
−2 Log Likelihood429.685 788.519 942.601
N242 401 488
DOI: https://doi.org/10.2478/irfc-2025-0008 | Journal eISSN: 2508-464X | Journal ISSN: 2508-3155
Language: English
Page range: 38 - 52
Submitted on: Nov 13, 2025
|
Accepted on: Dec 19, 2025
|
Published on: Dec 31, 2025
In partnership with: Paradigm Publishing Services

© 2025 Soyoung Lim, Hongjoo Jung, published by International Academy of Financial Consumers
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.