ISSN: 2278-4853 Vol 10, Issue 9, September, 2021 Impact Factor: SJIF 2021 = 7.699
Asian Journal of Multidimensional Research (AJMR)
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while the private employee (
22.70
percent) . The result also show that about (
46.70
percent)
policyholders belong to the monthly income of more than Rs. 5001-10000 followed by the(
25.30
percent) policyholders income upto Rs.5000 while the followed (
17.70
percent)
policyholders are Rs.10001-15000 followed by (
10.70
percent ) above15000 policyholders .
Micro Insurance Support towards Poverty Alleviation.
The micro insurance products support towards poverty alleviation and quality of life was
analyzed and the results are presented in table-2
TABLE-2. MICRO INSURANCE MARKETS SUPPORT TOWARDS POVERTY
ALLEVIATION.H
0
= THERE IS NO SIGNIFICANT DIFFERENCE BETWEEN TWO
GROUPS WITH REGARDS TO FACTORS OF MICRO INSURANCE MARKET
.
Statement
Level of Agreement (%)
Mean
Chi-
square
P-
value
SA
A
N
DA
SDA
Protection
17.30
38.70
29.30
10.70
4.00
3.67
71.93
0.001
Savings
26.70
42.00
22.70
7.30
1.30
3.39
Investments
20.70
44.30
21.00
10.00
4.00
3.45
Income
19.30
31.30
37.30
7.30
4.70
3.69
Profit
13.30
40.70
32.00
8.70
5.30
3.71
INTERPRETATION
The results show that insurance market are provided protection, investments, savings and
income, profit earned. Moreover; most of the insurance market are agreed that investment
(44.30), savings (42.00), profit (40.70), protection (38.70). In overall, the analysis indicates that
the micro insurance market has higher support to poverty alleviate and quality of life. The F-
value of 71.933 is significant at one per cent level of significance.
TABLE- 3. 1 SOCIO-ECONOMIC CHARACTERISTICS AND MICRO INSURANCE
PRODUCTS SUPPORT TOWARDS POVERTY ALLEVIATION.
H
0 =
There is no association between Gender and Micro Insurance market support towards
Poverty Alleviation
Statement
Motivation
Total
Chi-
square
P-value
Strongly
Disagree
Neutral
Strongly
Agree
Gender
Male
5
58
20
83
4.187
0.123
Female
7
36
24
67
Total
12
94
44
150
TABLE: 3.2 – SOCIO ECONOMIC CHARACTERISTICS AND MICRO INSURANCE
MARKET SUPPORT TOWARDS POVERTY ALLEVIATION.
H
0
= There is no association between education and insurance market management
support towards poverty alleviate
Statement
Motivation
Total
Chi-
P-
ISSN: 2278-4853 Vol 10, Issue 9, September, 2021 Impact Factor: SJIF 2021 = 7.699
Asian Journal of Multidimensional Research (AJMR)
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AJMR
Strongly
Disagree
Neutral
Strongly
Agree
Square Value
Education
HSC
1
12
2
15
11.617
a
0.169
Illiterate
2
20
2
24
Graduates
5
33
24
62
Diploma
2
18
12
32
Professionals 2
11
4
17
Total
12
94
44
150
Note: 5 % level of significant.
Since the P value is greater than 0.05 the null hypothesis is accepted at 5 per cent level of
significant. Hence, there is no association between Gender and Motivation, Education and
insurance market management support to towards poverty alleviate. The results show that
policyholders have a illiterate education level are neutral in insurance market management
support to poverty alleviate than the policyholders HSC education level education. Besides, the
female policyholders have neutral in management support to poverty alleviation.
TABLE-4.POLICYHOLDERRS’ SATISFACTION TOWARDS MICRO INSURANCE
MARKET MANAGEMENTLEVEL OF AGREEMENT (%)
Statements
HS
S
N
DS
HDS
Mean
Chi-
Square
P-value
Direct channels
18.10
37.90
20.70
20.20
3.10
3.67
81.856
a
0.001
Affordable
products
16.40
50.00
20.20
9.630
3.80
3.39
Potential market
support
20.10
44.90
19.00
13.00
4.00
3.45
Product services
17.30
31.70
38.90
7.10
4.90
3.69
Profit earned
11.00
44.70
29.30
11.20
3.80
3.71
Interpretation
The results show that policyholders’ satisfaction that the insurance market management are
having direct channels, affordable products, potential support, products services, and profit
earned. Moreover; most of the policyholders are satisfied that direct channels (
50.00),
affordable
products (
44.90
), market support (
44.70
), products services (
37.90
). In overall, the analysis
indicates that the policyholders have satisfied towards insurance market management by them.
The F-value of (81.856) is significant at one per cent level of significance indicating that there is
a significant difference in towards poverty alleviate among the policyholders.
1.7 Findings
ISSN: 2278-4853 Vol 10, Issue 9, September, 2021 Impact Factor: SJIF 2021 = 7.699
Asian Journal of Multidimensional Research (AJMR)
https://www.tarj.in
370
AJMR
Demographic Profile:
1.
Insurance policyholders profile through percentage analysis ascertains that a maximum of 55
per cent of the policyholders are male.
2.
It is found that maximum of 43 per cent of the policyholders are in the age of 21 – 30.
3.
A maximum of 41 per cent of the policyholders are illiterate level.
4.
Among the total policyholders, 46 per cent of policyholders are belonging to income group
of below Rs.5000
5.
Besides a maximum of 70 per cent policyholders are married tourists.
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