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Stands as One of the Most Promising and Cost-Effective Tools for
Microfinance
Mr. Nagaraja K
1
, Dr. Vadivelu A
2
, Mr. Naveena R A
3
1
Ph.D Research Scholar, Department of Economics, Thiruvalluvar University, Serkadu- 632 115
2
Guest lecturer, Department of Economics, Kuvempu University, Jnana Sahyadri, Shankaragatta 577
451
3
Economics Lecturer, Tunga PU College, Anandagiri, Thirthahalli- 577432.
DOI: https://doi.org/10.51583/IJLTEMAS.2026.15020000017
Received: 14 February 2026; Accepted: 19 February 2026; Published: 03 March 2026
ABSTRACT
Microfinance in India has emerged as a critical tool for financial inclusion, poverty alleviation, and socio-
economic development, particularly for marginalized communities. Over the past few decades, microfinance
institutions (MFIs) have played a pivotal role in providing small loans, savings, insurance, and other financial
services to individuals who lack access to formal banking systems. These services, primarily targeted at women,
rural populations, and low-income households, have empowered individuals to start or expand small businesses,
improve living standards, and invest in education and health.
INTRODUCTION
The microfinance in India is multifaceted. Firstly, it serves as a bridge to financial inclusion, enabling the
unbanked to gain access to credit, which in turn enhances economic opportunities. Secondly, it promotes gender
equality by empowering women entrepreneurs who are often excluded from traditional banking systems.
Through group lending mechanisms, women gain both access to credit and a platform for mutual support and
capacity building. Thirdly, microfinance contributes to poverty alleviation by offering low-interest loans, thereby
reducing the burden of informal and exploitative lending. Despite its significant positive impact, the
microfinance sector in India faces several challenges, including over-indebtedness, high interest rates, and the
risk of over-reliance on credit for low-income borrowers. Moreover, the regulatory environment and the financial
sustainability of MFIs are ongoing concerns.
Microfinance in its three-decade long journey has been a conduit to improved lives on account of better incomes
for nearly a hundred million rural households. The sector has grown with regulatory prescriptions and policy
interventions guiding the sector’s growth journey. FY 2022-23 witnessed growth and stabilization in the
microfinance sector, the first full year after the COVID-19 pandemic, much as in the case of the other sectors of
the economy. As on 31 March 2023, 16.19 crore rural households were covered under the SHG-BLP. A total of
134.03 lakh SHGs were savings linked to the banking sector with savings of Rs. 58,892.67 crore, registering
growth of 13% and 25% over the previous year. Of these, 112.92 lakh were all women SHGs with savings of
Rs. 52,455.48 crore accounting for 84% and 89% of total SHGs and savings, respectively. Though 69.57 lakh
SHG had credit outstanding of Rs. 188078.80 crore with banks as on 31 March 2023, the credit gap increased to
48.09% during FY 2023-24 as compared to 43.33% during FY 2022-23.
The increase in credit gap was primarily owing to the fact that the growth in savings linkage of SHGs could not
be matched by the SHGs with loans outstanding (3.2%). This underlines the need to widen and deepen the spread
of microfinance, particularly to those regions and pockets that have a higher growth potential. As data reveals,
microfinance in the Southern States has reached saturation. Therefore, to enable further growth, credit deepening
will also have to be focussed upon. This necessitates building up capacities of SHGs/ JLGs. NABARD has
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continued to implement various interventions towards promotional, capacity building and enterprise
development of SHGs. Cumulatively, 5.85 lakh SHG members were trained through 20,174 MEDPs and 2.67
lakh SHG members through 2,149 LEDPs with total grant support of Rs.52.39 crore and Rs.106.10 crore as on
31 March 2023. Considering the field level requirements, the MEDP & LEDP programmes are revamped to
incorporate provision of Common Facility Centre, exposure visits, coverage of raw material cost, stipend for
trainees and support for more demonstration units.
MFIs in India
MFIs in India have been playing a major role in purveyance of small credit especially to weaker sections without
any collaterals. They are contributing immensely to the cause of financial inclusion in the country. Microfinance
sector is very diverse comprising of various players of different types and legal forms. It covers NBFC-MFIs,
Banks, SFBs, NBFCs and Non-profit MFIs. Microfinance operations are spread across 641 districts of 36 States
and Union Territories. Banks are leading with presence in 636 districts, followed by SFBs and NBFC-MFIs with
616 districts and 613 districts respectively. The NBFCs have operations in 538 districts and Non-profit MFIs
have operations in 384 districts. The microfinance penetration level is below 10% mostly in areas of J&K, coastal
Maharashtra, Western UP, Uttarakhand etc., while it is higher in Southern States such as Tamil Nadu, Karnataka,
Kerala and Eastern States such as West Bengal, Odisha, Bihar, etc. Out of the 124 aspirational districts,
microlenders are operating in 113 districts with microfinance penetration between 25%-50%.
Statement of the Problem:
The financial support provided by the microfinance sector has led to significant advancements for rural women
nationwide. Andhra Pradesh Chittoor district has 70 per cent of its area in the rural sector. Although the state of
Andhra Pradesh counts this district as one of its major microfinance markets, no particular research has been
done on the contribution of microfinance to rural development. To close the gap, this study, using Sivadi village
as a case study, emphasizes the importance that microfinance plays in rural development.
REVIEW OF LITERATURE
Dr. Shubhra Rahul, Dr. Alok Chandra (2021) In their study of microfinance approaches, concerns regarding
MFIs' self-sufficiency, and factors influencing financial sustainability, discovered that, despite commercial
banks' support for agribusiness and marketing, the credit flow to the rural sector was never sufficient to meet
demand. Asif Khan, Alam Ahmed, and Shireen (2021) discovered that the MFI industry has significantly
improved in terms of performance with the aim of examining the efficiency variances across Indian.
Umesh Balu Gadekar (2020) examined the financial situation of the impoverished in rural areas. The study
included percentage, frequency, and the chi-square test. The primary data comes from 340 women who use
private microfinance companies as their clients. It has been discovered that women from underprivileged social
and economic backgrounds favor private microfinance institutions over government funding sources. The
conclusion is that the revelation that rural women from restricted groups were resorting to commercial
microfinance organizations for financial support occurred as a result of the establishment of microfinance as a
means of alleviating poverty in rural India.
According to Dr. Vishal Goel (2020), women participants did not repay the requisite amount of microcredit, and
around 16% of participants did not have a consistent source of income. The income of Indians has been found
to have increased dramatically.
Sunil Sangwan, Narayan Chandra Nayak (2020) investigated the risk of repayment associated with funding
from Indian microfinance institutions (MFIs). 498 homes provided their information via a questionnaire and in-
person interview. It is discovered that households with low incomes, high debt and loan diversion rates, and high
borrowing costs have a higher chance of defaulting.
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Through the use of a regression model, Swati Chauhan (2020) [6] was able to determine the parameters
influencing MFI effectiveness. Through the Microfinance Information Exchange, the data was acquired.
Research indicates that NGO-MFIs have an average financial efficiency score of 82.88 percent and an average
social efficiency score of 71.82 percent. It's discovered that MFIs and NGOs have greater financial than social
success.
Ram Pratap Singa, Pallavi Pandey (2019) examined the effectiveness and output of MFIs in India. The researcher
used simplified regression and bootstrap data envelopment analysis techniques to estimate the performance of
MFIs. The data sources were the MFI annual reports and the MIX market. The capital-to-asset ratio of the
sampled institutions is found to positively correlate with inefficiency, suggesting that the institutions are making
inefficient use of their money. The average efficiency has grown and is now rising.
Dr. Deepika Goutam, Dr. Alok kumar (2019) An analysis of the impact of microfinance on women's
empowerment revealed that the tribal women of Himachal Pradesh have benefited greatly from it. Chi-square
testing, skewness, kurtosis, and mean were employed by the researchers. The conclusion is that tribal women
affiliated with SHGs benefit much from microfinance in terms of their own personal empowerment.
Objectives of the Study:
To Study the Micro Finance in the rural development in India
To examine the SHG Bank Linkage Programme in India
RESEARCH METHODOLOGY
The websites of microfinance status in India, institutions are the source of secondary data about the programs
that these institutions provide to women. A portion of the information is also gathered from research papers,
articles, and journals.
Progress
of
SHG
Bank
Linkage
Programme
Table 2.1: Progress under SHG-Bank Linkage Programme (2020-21 to 2022-23)
(Number in lakh/r in crore)
Particulars
2020-21
2021-22
2022-23
No. of
SHGs
Amount
Amount
No. of
SHGs
Amount
SHG
Total SHG Nos.
112.23
37477.61
47240.48
134.03
58892.68
Savings
(9.57%)
(43.31%)
(26.05%)
(12.7%)
(24.67%)
with Banks as
on 31st
All women SHGs
97.25
(10.11%)
32686.08
(40.16%)
42104.77
(28.81%)
112.92
(8.52%)
52455.48
(24.58%)
% of Women
86.65
87.21
89.13
84.25
89.07
March
Of which NRLM/ SGSY
64.78
19353.7
27576.94
82.01
37424.80
(11.9%)
(35.22%)
(42.49%)
(61.19%)
(63.55%)
% of NRLM/ SGSY groups
57.72
51.64
58.38
61.19
63.55
to Total
Of which NULM/SJSRY
5.29
1954.09
2600.19
7.39
3547.12
(12.79%)
(28.26%)
(33.06%)
(27.11%)
(36.42%)
% of NULM/ SJSRY
4.71
5.21
5.50
5.51
6.02
groups to Total
Loans
Total No. of SHGs
28.87
58070.68
99729.22
42.96
145200.23
Disbursed
extended loans
(-8.23%)
(-25.22%)
(71.74%)
(26.42%)
(45.59%)
to SHGs during the
year
All women SHGs
25.9
(-10.19%)
54423.13
(-25.75%)
93817.21
(72.38%)
41.42
(31.49%)
139315.69
(48.50%)
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progress under the programme from 2020-2021 to 2022-23 in terms of SHG savings linkage with the banking
sector is presented in Table 2.1.
Overall, there is an increase of 13% in the number of SHGs savings linked and 25% in the savings amount during
2022-23 as compared to 2021-22. Both the number and amount of SHG savings with banks show a positive trend
over the last three years. A similar increasing trend can be observed in the number and amount of SHGs with
loans outstanding with banks over the last two years. Loans disbursed to SHGs have consecutively increased
over the last two years in both physical and financial terms recovering from a dip in the FY 2021 due to the
pandemic.
Progress of Savings Linkage of SHGs with Banks (2020-21 To 2022-23)
During 2022-23, banks reported an addition of 15 lakh savings linked SHGs at all-India level, registering a
growth of 13% over the previous year. The region-wise comparative analysis reveals that in terms of savings
linked SHGs, growth was witnessed across all regions during 2022-23 with the exception of the Southern region
which saw a minor dip due to programme saturation. (Table 2.2). The region-wise- growth in savings linked
SHGs during 2022- 23 ranged from 35% in Central region to 14 % in Western region.
Table 2.2: Region-wise progress of Savings Linked SHGs with Banks
(2020-21 to 2022-23)
(r lakh)
Sr.
No.
Regions
2020-21
2021-22
2022-23
No. of SHGs
Savings-
Amount
No. of SHGs
Savings-
Amount
No. of SHGs
Savings -
Amount
A
Northern
Region
6,09,808
1,74,345
6,80,143
1,99,582
7,87,807
1,22,485
% of Women Groups
89.71
93.72
94.07
96.42
95.95
Of which NRLM/ SGSY
15.84
29643.04
63100.77
34.87
116479.07
(-22.69%)
(-43.19%)
(112.87%)
(52.20%)
(84.59%)
% of NRLM/ SGSY groups
54.87
51.05
63.27
81.18
80.22
to Total
Of which NULM/ SJSRY
1.13
2112.04
5816.1
1.98
8627.25
(-28.93%)
(-37.99%)
(175.38%)
(8.03%)
(48.33%)
% of NULM/ SJSRY
3.91
3.63
5.83
4.62
5.94
groups to Total
Loans
Total No. of SHGs linked
57.8
103289.71
151051.30
69.57
188078.80
Out-
(1.81%)
(-4.43%)
(46.24%)
(3.22%)
(24.51%)
standing against
SHGs as
No. of all Women SHGs
linked
53.11
(3.89%)
96596.6
(-4.00%)
142288.61
(47.30%)
65.15
(3.99%)
179468.42
(26.13%)
% of Women SHGs
91.89
93.52
94.20
93.65
95.42
on 31st
March
Of which NRLM/SGSY
33.78
57336.62
94231.52
55.45
150506.71
(-8.43%)
(-15.33%)
(64.35%)
(24.48%)
(59.72%)
% of NRLM/ SGSY groups
58.44
55.51
62.38
79.70
80.02
to Total
Of which NULM/SJSRY
2.23
4056.45
7608.57
3.42
11077.18
(-16.48%)
(-25.8%)
(87.57%)
(4.59%)
(45.59%)
% of NULM/ SJSRY
3.86
3.93
5.04
4.91
5.89
groups to Total
(Figures in parenthesis indicate the increase/decrease over previous year)
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B
North
Eastern
Region
6,33,714
83,126
6,80,845
1,06,441
7,93,320
1,27,153
C
Eastern
Region
31,22,424
7,74,912
32,43,980
13,58,595
39,30,551
17,42,499
D
Central
Region
13,45,575
2,11,870
13,55,564
3,25,696
18,32,040
4,58,675
E
Western
Region
15,50,176
3,74,023
16,88,451
3,27,691
19,27,560
5,41,611
F
Southern
Region
39,61,703
21,29,485
42,44,070
24,06,043
41,31,805
28,96,845
Total
1,12,23,400
37,47,761
1,18,93,053
47,24,048
1,34,03,083
58,89,268
In terms of percentage share of savings linked SHGs during 2022-23, the Southern region registered the highest
share at 31% followed by the Eastern region (29%) and Western region (14%) [Fig. 2.3]. The State- wise
bifurcation of the number of SHGs savings-linked with banks is detailed in Statement IIA. Among the States,
Maharashtra has the maximum SHGs at 15.15 lakh, followed by West Bengal (14.44 lakh), Bihar (11.10 lakh)
and Andhra Pradesh (10.81 lakh). During the year 2022-23, highest number of SHGs were added in West Bengal
State (3.61 lakh), followed by Chhattisgarh (2.26 lakh), Maharashtra (1.81 lakh). Negative growth was observed
in Telangana, Tamil Nadu and Punjab.
In line with the increasing trend observed in savings linkage during the year, cumulative savings of SHGs with
banks also registered an increase of 25% from Rs. 47,240.48 crore in 2021-22 to Rs. 58,892.68 crore in 2022-
23. SHG savings during 2022-23 witnessed growth across all regions except the Northern region (-39%). The
highest growth was in the Western region at 65%. Among the States, highest growth was observed in Arunachal
Pradesh, Chhattisgarh and Meghalaya, whereas Karnataka, Kerala, Manipur, Punjab, Uttarakhand, Tripura and
Tamil Nadu registered negative growth.
The average savings grew by 10.62% from Rs. 39,721 in 2021-22 to Rs. 43,940 in 2022-23 (Fig. 2.4). Region-
wise data reveals that the average savings have increased for all the regions except the Northern region.
Significant increase of 45% was observed in Western region (from Rs. 19,408 to Rs. 28,098). The Southern
region (Rs. 70,111) continued to have the highest average savings per SHG while the Northern region registered
the lowest (Rs. 15,548). Among States/UTs, Andhra Pradesh has the highest average savings amount of Rs.
1,72,124 followed by Rs. 85,000 per SHG in Telangana. Excluding Andhra Pradesh and Telangana states, the
average savings per SHG at all India level declined to Rs. 30,000 from Rs 43,940, i.e. a reduction of 32%. This
indicates the dominance of these two states on the overall savings position.
Credit Disbursement by Banks
Credit amounting to Rs. 1,45,200 crore was disbursed by banks to 43 lakh SHGs during 2022-23 as against Rs.
99,729 crore to 34 lakh SHGs during 2021-22, registering a growth of 46% and 26% in quantum of credit
disbursed and number of SHGs credit linked during the year, respectively. The comparative analysis of bank
loans disbursed to SHGs for the last three financial years (2020-21 to 2022-23) is given in Table 2.3.
Table 2.3: Region-wise Status of Bank Loan Disbursed to SHGs during 2020-21 to 2022-23
(r lakh)
Region
2020-21
2021-22
2022-23
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Growth in credit disbursement to SHGs in 2022-23 witnessed an increase across all regions over 2021- 22, with
the highest growth being in the Central region (114%). Disbursement in absolute terms was highest in the
Southern region with Rs. 95,226.72 crore to 19 lakh SHGs and lowest in the Northern region at Rs. 20,64.37
crore to 1 lakh SHGs. Among the States, Karnataka had the maximum number of SHGs credit linked during the
year at 7.44 lakh, followed by West Bengal (6.76 lakh), Bihar (6.40 lakh) and Andhra Pradesh (5.27 lakh).
A comparative analysis of region-wise percentage share in credit linkage of SHGs during the last three years
(2020-2021 to 2022-23) reveals that Northern, NER, Central and Western regions have increased their share as
compared to Southern and Eastern regions. In the case of the Northern & Eastern regions, their respective shares
have remained almost constant (Fig. 2.5). During the year, however, the Southern region had the highest
percentage of SHGs credit linked at 44% followed closely by the Eastern region at 38%. The proportion of credit
linked SHGs in the Northern, North Eastern, Central and Western regions remained below 7%.
Among the States, highest growth was observed in Arunachal Pradesh, Uttar Pradesh and Bihar, whereas
Haryana, Jharkhand, Punjab, Telangana, Sikkim and Odisha recorded negative growth.
Credit Outstanding
As on 31 March 2023, a total of 69.57 lakh credit linked SHGs had loans outstanding of Rs. 1,88,078.80 crore
(Table 2.4) with loan outstanding per SHG amounting to Rs. 2.70 lakh at the all-India level. Region-wise, the
Southern region had the highest loan outstanding as on 31 March 2023, both cumulatively and on per SHG
position.
Table 2.4 : Region wise SHGs having Loans Outstanding (As on 31 March 2023)
(r lakh)
Sr. No.
Regions
SHGs credit linked
(No.)
Loans outstanding with SHGs
Amount
Per SHG
1
Northern Region
1,70,971
2,09,750
1.23
2
North Eastern Region
2,68,593
3,90,420
1.45
3
Eastern Region
23,83,255
39,97,045
1.68
4
Central Region
4,95,999
5,12,131
1.03
5
Western Region
4,29,237
6,87,851
1.60
No. of
SHGs
Total
Loans
Disbursed
Average
Loan
Dis-
bursed
No. of
SHGs
Total
Loans
Dis-
bursed
Average
Loan
Dis-
bursed
No. of
SHGs
Total
Loans
Disbursed
Average
Loan
Dis-
bursed
Northern
67,658
94,045
1,39,001
79,532
1,17,102
1,47,239
1,02,931
2,06,437
2,00,559
North
Eastern
68,116
1,03,651
1,52,168
94,871
1,84,636
1,94,618
1,23,602
3,13,764
2,53,850
Eastern
11,24,578
14,87,551
1,32,276
13,01,505
25,68,978
1,97,385
16,34,604
33,38,333
2,04,229
Central
1,28,617
1,05,428
81,971
1,84,322
2,16,983
1,17,720
2,78,359
4,63,673
1,66,574
Western
1,61,159
2,30,331
1,42,921
2,39,086
3,81,363
1,59,509
2,73,253
6,75,144
2,47,077
Southern
13,37,266
37,86,063
2,83,120
14,98,951
65,03,860
4,33,894
18,82,772
95,22,672
5,05,779
Total
28,87,394
58,07,068
2,01,118
33,98,267
99,72,923
2,93,471
42,95,521
1,45,20,023
3,38,027
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6
Southern Region
32,08,996
1,30,10,683
4.05
Total
69,57,051
1,88,07,880
2.70
State-wise, credit linkage status of SHGs as on 31 March 2023 is depicted in Fig. 2.7. Overall, out of 134.03
lakh SHGs savings linked, 52% SHGs have loans outstanding with banks, leaving a credit gap of 48%. Six states
have credit linkage percentage higher than the all-India average with Telangana leading with 97% of its SHGs
having loans outstanding followed by Andhra Pradesh (89%) and Bihar (76%). Southern and Eastern states
dominate the list.
Agency Wise Distribution of SHG Bank Linkage Programme
Commercial Banks, RRBs and Cooperative Banks play a pivotal role in strengthening the SHG-BLP through
provision of savings and credit services. The agency-wise status of SHG-BLP is given in Table 2.5. As on 31
March 2023, Commercial Banks through their vast network of banking operations have done exceedingly well,
with over 77 lakh SHGs having savings accounts with them.
Table 2.5 Agency-wise status of SHG-BLP in 2022-23
(Amount in r lakh)
Category
of Agency
Total Savings of SHGs
with Banks as on
31 March 2023
Loans disbursed to
SHGs by Banks during
2022-23
Total Outstanding
Bank Loans against
SHGs as on
31.03.2023
NPAs as on
31.03.2023
No. of
SHGs
Savings
Amount
No. of
SHGs
Loans
disbursed
No. of
SHGs
Loan
Outstanding
Amount
of
Gross
NPA
NPA
(%)
Commercial
Banks
7753137
3468997.61
2471417
9308819.17
4202133
12924408.8
340220.81
2.63
% Share
57.85
58.90
57.53
64.11
60.40
68.72
64.81
Regional
Rural
Banks
4047836
1820277.34
1570469
4429041.17
2193119
4821593.92
119371.64
2.48
% Share
30.20
30.91
36.56
30.50
31.52
25.64
22.74
Cooperative
Banks
1602110
599992.61
253635
782162.99
561799
1061877.04
65341.36
6.15
% Share
11.95
10.19
5.90
5.39
8.08
5.65
12.45
Total
13403083
5889267.56
4295521
14520023.33
6957051
18807879.8
524933.81
2.79
Thus, in terms of number of SHGs saving linked with banks, Commercial Banks lead with 58% share, followed
by RRBs at 30% (40 lakh SHGs) and Cooperative Banks at 12% (16 lakh SHGs). Among the Banks, State Bank
of India has highest number of savings linked SHGs of 12.49 lakh i.e. 19.4% of total saving linked SHGs of
Public Sector Commercial Banks.
Bank-wise details of savings outstanding as on 31 March 2023 are given in Statement IA. Commercial Banks,
again dominate the share in disbursements and loans outstanding in respect of SHGs. Bank wise details of loans
disbursed to SHGs and loans outstanding are given in Statements I-B and I-C, respectively.
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Further, as given in Table 2.6, average savings of SHGs with banks have increased across all agencies. The
average savings have gone up from Rs. 39,721 in 2021-22 to Rs. 43,940 in 2022-23 and average loans disbursed
to SHGs have increased by 15% from the previous year with an increase observed in case of Commercial Banks
and RCBs whereas in the case of RRBs there was a decline of 4%. Union Bank of India has 21.2% share of the
total savings of Public Sector Commercial Banks and has highest average savings of Rs. 83,000 per SHG. Among
the Private Sector Commercial Banks, ICICI Bank has highest number of savings linked SHGs i.e. 5.29 lakh,
followed by HDFC Bank (3.10 lakh) and DCB Bank (2.45 lakh). Among the RRBs, Assam Gramin Vikas Bank
has highest number of savings linked SHG accounts at 3.15 lakh.
Table 2.6: Agency-wise Average Savings, Loan Disbursement and Loan Outstanding per SHG
Category
of
Agency
Average Savings of
SHGs with Banks
Average Loans disbursed
to SHGs by Banks
Average Outstanding
Bank Loans against
SHGs
2022-23
2021-22
Change
(%)
2022-23
2021-22
Change
(%)
2022-23
2021-22
Change
(%)
Commercial
Banks
44,743
44,612
0.29
3,76,659
2,94,460
27.92
3,07,568
2,45,495
25.28
Regional
Rural Banks
44,969
38,488
16.84
2,82,020
2,94,896
-4.37
2,19,851
1,94,620
12.96
Cooperative
Banks
37,450
19,143
95.63
3,08,381
2,76,485
11.54
1,89,014
1,68,247
12.34
Total
43,940
39,721
10.62
3,38,027
2,93,471
15.18
2,70,343
2,24,113
20.63
Bank of India registered the highest average loan disbursed per SHG at Rs. 5.26 lakh, followed by Rs.
4.80 lakh by Indian Bank. The average loans outstanding per SHG have increased for all agencies, with
the highest percentage increase in respect of Commercial Banks. Bank wise loans outstanding in respect
of SHGs is given
Findings indicate that microfinance, especially through the SHG model, has been successful in improving the
livelihoods of lowincome individuals by providing access to credit, savings, and insurance. Larger loan
amounts were found to have a significant positive impact on income, underscoring the need for adequate
financing to make a real difference in the economic well-being of borrowers. However, the study also
identifies some key factors that influence the effectiveness of microfinance. Education emerged as a key
determinant of success, suggesting that financial literacy programs should be integrated into microfinance
initiatives to increase their impact. Additionally, the regional differences in the outcomes of microfinance
suggest that more attention must be given to local conditions, infrastructure, and the economic environment
when designing and implementing microfinance programs. For policymakers and microfinance institutions, the
study recommends a targeted approach that considers regional disparities, the educational background of
clients, and the appropriate loan sizes to ensure that microfinance programs effectively empower borrowers.
Furthermore, expanding financial literacy initiatives and focusing on client protection mechanisms will help
ensure that microfinance remains a sustainable and ethical tool for poverty alleviation and economic
development in India.
CONCLUSION
Microfinance has emerged as one of the most promising and cost-effective tools for promoting rural
development, financial inclusion, and poverty alleviation in India. The Self-Help Group (SHG)-Bank Linkage
Programme has played a pivotal role in expanding access to financial services, particularly among women and
marginalized communities. The steady increase in the number of SHGs, their savings, and credit linkage with
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue II, February 2026
Page 203
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banks demonstrates the growing acceptance and effectiveness of microfinance as a mechanism for economic
empowerment.
The findings reveal that microfinance has significantly contributed to improving the livelihoods of low-income
households by enabling access to credit, encouraging savings habits, and supporting income-generating
activities. Women, in particular, have benefited greatly, as microfinance has enhanced their economic
independence, decision-making power, and social status. The dominance of women-led SHGs reflects the
sector’s success in promoting gender equality and inclusive growth.
However, the study also highlights certain challenges, such as the widening credit gap, regional disparities in
microfinance penetration, and the risk of over-indebtedness among borrowers. While Southern and Eastern
regions have achieved substantial progress, other regions still require focused attention to ensure balanced
development. Strengthening financial literacy, improving institutional capacity, and expanding outreach to
underserved areas are essential to maximize the impact of microfinance.
In conclusion, microfinance, particularly through the SHG model, has proven to be an effective instrument for
rural development and poverty reduction in India. With appropriate policy support, improved financial literacy,
and targeted interventions, microfinance can continue to serve as a sustainable and powerful tool for socio-
economic empowerment and inclusive national development.
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