Financial Inclusion and Micro and Small Enterprises Growth

International Journal of Engineering and Management Research e-ISSN: 2250-0758 | p-ISSN: 2394-6962
Volume- 9, Issue- 3 (June 2019)
www.ijemr.net https://doi.org/10.31033/ijemr.9.3.6
43 This work is licensed under Creative Commons Attribution 4.0 International License.
Financial Inclusion and Micro and Small Enterprises Growth
Pankaj Kumar
Assistant Professor & Head, Department of Commerce, Kalindi College (University of Delhi), East Patel Nagar, New
Delhi, INDIA
Correspondence Author: pankajeco@gmail.com
ABSTRACT
The persons or firms linked with the either way of
financial transaction are known as participants of financial
inclusion financially included otherwise financially
excluded. The normal way of flow of money is routed
through banking system, post office, insurance and FBFC
channels. The MSE is financially included with operation of
saving account, current account or loan account with banks;
financial transaction with other government financial
agencies as well as some private sector NBFC. Recent
initiatives of Government of India and Indian Banking
system have accelerated the performance of financial
inclusion through various schemes such as MNREGS,
Jandhan, Atal Pension Yojna, MUDRA and so forth. The
MUDRA scheme, credit scheme for MSE, credit scheme for
KVIC & Coir firm, Kishan credit card, General Credit
Card are exclusive financial inclusion scheme for MSE
credit. Out of total size of MSEs, less than forty percent
units are getting benefits from schedule commercial banks;
as on 2017-18 only Rs. 1337 billion credit facilities given by
the lending institutions. The paper examines the current
status and potential prospect of financial inclusion at given
numbers of units and employment.
Keywords-- Financial Inclusion, MSME, 4th
Census of
MSME, Jan Dhan Yojna, MUDRA
I. INTRODUCTION
The latest definition of micro, small and medium
enterprises has been given by MSMED Act 2006, whole
enterprises like Khadhi & Village, Coir, Tiny, Small and
Medium units into Micro, Small and Medium Enterprises
(MSME) with enhanced ceiling of investment in plant
and machinery and equipment. The new ceiling of
manufacturing micro is Rs. 25 lac, small Rs. 500 lac and
medium Rs. 1000 lac; and ceiling of services micro Rs.
10 lac, small Rs. 200 lac and medium Rs. 500 lac with
effect from 2nd
October 2006. The micro and small
enterprises (MSE) size is almost 99.96 per cent of
MSME. As per the annual report of MSME Govt. of India
(2011-12), the size of MSME is 31.15 million units with
investments Rs. 7734.87 million, output Rs. 10957.58
billion and employments 73.21 million. Out of total size
of MSEs, less than 30% units are getting benefits of
financial inclusion or only 93 lac units out of 311 lac
units have account with any of the schedule commercial
banks. As on 2017-18 only 1337.42 billion financial
credits has been given by commercial banks to 56.64
million MSE. The Micro Small and Medium Enterprises
(MSME) statistics reveals that the population size of
MSME is 63.38 million units with approximately Rs.
22295 billion investments, approximately Rs. 32801
billion outputs, 28.77% Gross Value Added (GVA) in
GDP, 110.98 million employments and approximately
Rs. 1337 billion credit facilities by the lending
institutions by March 2018. MANREGS and JANDHAN
are most successful initiatives of government of India
since 1947 to push the income and expenditure pattern of
rural and semi urban people. Now in these days mobile is
also playing vital role in financial inclusion. The socio-
economic welfare scheme of government of India is one
of the powerful instruments of financial inclusion,
because the welfare schemes involve transfer of
public/government money directly and indirectly into
saving and investment function or income and
expenditure function of economy. Opening of bank
account, post office saving bank account, account with
NBFC, purchase of insurance policy, JANDHAN
account with bank, etc., are primary level of financial
inclusion for the purpose of saving, investment, and direct
benefit transfer (DBT) from different schemes such as
MNREGS, Jandhan, Atal Pension Yojna, MUDRA
programme. All these are helpful in financial inclusion
through income-expenditure, saving-investment pattern
of economy, it is helpful in infusion of surplus money in
banking system and/or in capital market.
In context of Indian economy, the financial
inclusion is defined by Rangarajan's
Committee (2008) as
- "Financial inclusion may be defined as the process of
ensuring access to financial services and timely and
adequate credit where needed by vulnerable groups such
as weaker sections and low income groups at an
affordable cost." The financial inclusion includes the
financial services of entire range viz. savings, loans (all
types), insurance (all types), credit, payments, recent
form of credit such as general credit card (GCC), Kisan
Credit Card (KCC), small overdraft and credit through
RBI authorised micro finance institutions to MSE of rural
and urban areas. The reduction of financial exclusion may
also leads to increase of financial inclusion for rural
based entrepreneurs whose capital size is less than Rs.
25000. Due to failure of government machinery a larger
number of rural and urban entrepreneur are under
financial exclusion may be due to bottleneck in lending
procedure and lending norms for tiny level units.
Although, RBI has taken a numbers of measure to
improve the financial services among financially
excluded population/MSE. The financial inclusion (FI)

can help in the increase of savings, increase of capital
formation, mobilizations of fund, poverty eradication and
effective direction of government socio economic
programs such as MNREGA and PMEGS etc. Some of
the steps taken by RBI for financial inclusion of MSEs
are extension of credit to the priority sector, no frills
accounts (basic banking) with a low, zero or minimum
balance and minimum charges for people in low income
groups, easier credit facility through General Purpose
Credit Card facility of up to INR 25000. The fourth
census of micro small and medium enterprises is
revealing that the micro and small enterprises have shares
of above ninety four percent population of registered
units and hundred percent shares in unregistered units.
Out of the total size of units less than five percent of
unregistered units are getting benefit from institutional
advances as well as only eleven percent of total registered
units are availing benefit from institutional advances or
we can say that only 5.18% of total size of MSE is
finance by any of the schedule commercial banks and rest
are managed by own sources, friend-relatives and
unauthorized NBFC, chit-fund company, private money
lenders and so forth at higher interest rate. Above fifty
percent of total person working in unregistered units have
not any types of savings accounts. Financial inclusion is
most effective way to derive the growth pattern of MSE
as well as growth of Indian economy through increase of
saving and increase of capital formation from their
savings. The number of unit and direct employment is the
potential driver of financial inclusion as well as driver of
economic growth.
II. REVIEW OF STUDY
The report of 4th census of MSME (2007)
reveals that the cause of sickness was due to shortage of
financial capital with 21 per cent weight out of 100.
Rakesh Mohan (2006) outlined critical appraisal of SSI
policy regarding investment ceiling, fiscal incentives and
credit support to priority sector. He emphasized that
overall performance is not impressive in comparison of
other developing nations. In his work he suggested that
with increasing liberalisation and higher economic
growth, the role of banking sector is poised to increase in
the financing pattern of economic activities within the
country. To meet the growing credit demand, the banks
need to mobilise resources from a wider deposit base and
extend credit to activities hitherto not financed by banks.
Vinayak (2006) analyzed some issues related to the
production, credit policy and competition of SSI in
globalised era. He emphasized on credit facility &
competition. He suggested that the production of MSE
has been badly affected by deficient credit facility and
increasing competition. The current credit facility is still
limited to 14.9 percent of total SSI size; after
liberalization of economy only 20 out of 200 toys firms in
Delhi manage to stay out of the red, due to Chinese
competition. Dario Cziraky et. el, (2005) have worked on
loan assessment of SME loan programme in Croatia and
investigate possible reasons for low loan approval rate
that occurred in spite of interest rates subsidisation and
sufficient supply of the loan funds. Among all SME loan
requests, banks preferred smaller firms that requested
smaller loans. They suggested that individual banks differ
in their criteria and in their loan-size preferences and that
there is no positive correlation between the bank’s size
and its loan-size preference. Arito and Iichiro, (2009)
investigated on determinants of the use of collateral and
personal guarantees in Japan’s SME loan market. They
suggested that firms’ riskiness does not have a significant
effect on the likelihood that collateral is used, however,
that main banks whose claims are collateralized monitor
borrowers more intensively and that borrowers who have
a long-term relationship with their main banks are more
likely to pledge collateral. They suggested that consistent
with the use of collateral is effective in raising the bank’s
seniority and enhances its screening and monitoring.
Lakshmi and Murugan, (2009) examined on credit
requirements of SMEs as well as difficulties faced by
SMEs in availing bank finance. Their works indicate that
most of the SMEs are availing cash credit facility from
banks and are aware of the bank credit facilities through
their agents. In availing bank credit facility, simple
documentation has been ranked first, followed by low
interest rate, quick financing, reputation, period of
repayment and service. The study also reveals that
technology of the bank has improved tremendously when
compared to other aspects like employee relations,
adequate credit facilities and helping the rural people. In
next section we have discussed on methodology and
analysis of this paper.
To know the credit facility of micro and small
sector units the Government of India has taken various
initiatives such formation of various study groups and
committees, censuses, conducted and policies were made
for better performance of this sector. The major
committees and studies are the study of Karve Committee
in 1955 on employment and growth of SSI. The P.N.
Dhar & Lydall study in 1955 on the output-capital ratio.
The Narshimham Committee report (1991), The Abid
Hussain Committee in 1997 on credit facility to SSI unit.
The RBI study on credit facility to SSI (headed by P. R.
Nayak) in 1991 and 1997, the SSI study on credit facility
to SSI sector (headed by S.L. Kapoor) in 1997-1998. The
Planning Commission study report (headed by S.P. Gupta
study Group) in 2000 to strengthen the SSI sector and
recommend for the third census of SSI. Rakesh Mohan
(2006), revel that with increasing liberalisation and higher
economic growth, the role of banking sector is poised to
increase in the financing pattern of economic activities
within the country. To meet the growing credit demand,
the banks need to mobilise resources from a wider deposit
base and extend credit to activities hitherto not financed
by banks. The trend of increasing commercialisation of
agriculture and rural activities should generate greener
pastures, and banks should examine the benefits of

increasing penetration therein. Financial inclusion will
strengthen financial deepening and provide resources to
the banks to expand credit delivery. Mandira Sarma
(2007), Financial inclusion is seen as a policy priority in
many countries in the recent times. Initiatives for
financial inclusion have come from the financial
regulators, the governments and the banking industry.
Mandira Sarma & Jesim Pais (2008) describes cross
country empirical analysis of the relationship between
financial inclusion and development, they revealed that
levels of human development and financial inclusion in a
country move closely with each other, although a few
exceptions exist, i.e. the person potential for must have
saving account with any of the authorised financial
institutions.
III. METHODOLOGY AND ANALYSIS
The objective of this paper is to examine the
current status and potential prospect of financial
inclusion at given numbers of units and employment. To
achieve the objective of this study, secondary data have
been used. The sources of secondary data are from
various Annual Report of SSI & MSME, census of SSI
(1st
, 2nd
and 3rd
census), census of MSME (4th
census),
various issues of Economic Survey, RBI Annual Report
and published research. Here, the number of units and
employment are exogenous variables for endogenous
variable financial inclusion has been assumed. The
CAGR (cumulative annual growth rate) and other basic
statistical tools such as mean value standard deviation and
average percentage changes have been used in
performance analysis of MSE and Financial Inclusion.
It is observed from table-1 that, total credit
during 1991-2018 by all commercial banks was Rs.
8257.77 billion out of which Rs 6246.38 billion disbursed
by PSB, Rs. 1712.40 billion by private sector banks and
Rs. 298.99 billion by foreign bank in MSME. Total
Investment by the promoter in MSEM was Rs. 183388.31
billion, while total fund infusion (capital infusion) in
MSME was Rs. 191646.08 billion with 12.90 % share of
bank credit in total capital for total output of Rs.
274225.14 billion in MSME sector. The average fund
infusion for the period 1991-2018 is Rs. 6844.50 billion
per annum including total average bank credit of Rs.
294.92 billion per annum; for the same period average
output is Rs. 9793.76 billion. During 1991-2004, the
private sector banks bank credit in MSME was almost
negligible and bank credit by foreign banks was zero.
Table – 1: MSE PERFORMANCE (2014-18)
Year
No. of MSE (in
Million)
Output (Rs.
Billion)
Fixed Investment (Rs.
Billion)
Total Bank Credit
(Rs. Billion)
Total Capital
Employed (Rs.
Billion)
2004-05 11.86 4297.96 1786.99 83.13 1870.12
2005-06 12.34 4978.42 1881.13 101.29 1982.42
2006-07 36.76 11988.17 8685.43 127.32 8812.75
2007-08 37.73 13229.60 9204.59 213.54 9418.13
2008-09 39.37 13756.98 9771.14 256.13 10027.27
2009-10 41.08 14883.90 10385.46 364.00 10749.46
2010-11 42.87 16555.80 11059.34 486.02 11545.36
2011-12 44.76 17908.04 11833.32 528.62 12361.94
2012-13 46.55 19340.68 12779.99 613.01 13393.00
2013-14 48.41 20501.12 14185.78 709.66 14895.44
2014-15 50.35 22551.24 15604.36 846.74 16451.10
2015-16 52.36 25031.87 17008.76 971.86 17980.61
2016-17 54.46 29287.29 19219.89 1121.02 20340.91
2017-18 56.64 32801.77 22295.08 1337.42 23632.50
Total
1991-2018 695.42 274225.14 183388.31 8257.77 191646.08
Mean
1991-2018 24.84 9793.76 6549.58 294.92 6844.50
Source: Compiled and estimated from Annual Report of MSME and RBI various issues (2004-18).
From table, it can be observed that the PSB
share in total bank credit is 71.51 percent, private bank
share 25.69 percent and foreign bank share 2.80 percent
on 2018. The bank credit of PBS and foreign has been
declined from average bank credit for the period 1991 to
2018, while bank credit of private sector banks have been
increased from average bank credit for the period 1991 to
2018. The average growth rate of bank credit in MSME is

18.34 percent, PSB 16.65 percent, private bank 40.71
percent and foreign bank 14.36 percent. The growth rate
of PSB bank credit is 18 percent; private sector bank 24
percent, foreign bank 12 percent and total bank credit
19.30 percent.
Table – 2 is exhibiting about CAGR, overall
CAGR during pre-liberalization period was better than
post-liberalization period in both data series except
sickness rate of MSEs. In new data series the investment
& employment is showing slightly better performance
due to increase in investment ceiling and merger of KVI
& Coir industry with MSEs respectively. The average
percentage changes value of all indicators during pre-
globalisation period was better than post-globalisation
period.
Table 2: CAGR & Average of %age Changes of different Performance of MSE
Parameters Pre-Liberalisation (1973-74 to
1990-91
Post-Liberalisation (1991-92 to
2005-06)
Post-Liberalisation (2006-07 to
2017-18)
CAGR % Average of
%age Changes
CAGR % Average of %age
Changes
CAGR % Average of %age
Changes
SME Units 9.4517 9.49 3.1493 4.07 6.0719 4.50
Investment 12.9024 13.82 3.5526 4.61 15.5957 11.48
Production 19.8030 20.01 10.6436 13.99 15.5957 11.48
Thus it is clear that the number of units, fixed
investment amount, output, employment and export
shows better CAGR and average percentage growth in
pre-libralisation period than post liberalization period.
The rate of sickness has been declined in post
liberalization era especially after 2002-03, which is
favorable signal for MSE.
It is observed that the volume of credit facility to
total number of units, investment quantity and output is
very low. After Nayak committee, it has been increasing
due to multiple economic, international and political
pressures. The correlation coefficient between the
variables is also revealing poor and negative result. The
ordinary least square shows that the reason of lower
output is due to weak dependency on independent
variables. Finally the paper concludes that, post
liberalisation policies (1991-2018) related to MSE credit,
interest rate policies, credit rationing for MSE, priority
sector policies for credit to MSE, openness for private
and foreign bank in MSE finance is considerably good.
The marginal productivity of credit to output is very
strong; if we increase the credit quantity to MSE it will
accelerate our production which will help in increase of
the productivity of large sector firm, agriculture output,
export earning and employment.
IV. CONCLUSION
It is concluded from above discussion that the
PSB share in total bank credit is decreasing share of
private bank and foreign bank is increasing in MSME
credit. Bank credit of private sector banks have been
increased from average bank credit for the period 1991 to
2018 in comparison of2004-05. The average growth rate
of bank credit in MSME is 18.34 percent, PSB 16.65
percent, private bank 40.71 percent and foreign bank
14.36 percent. The CAGR and average percentage
changes figure of all performance parameters is slipping
after globalization except sickness rate. Through this
study it is suggest that, the government of India must
observe and revise the investment and financial inclusion
policy so that the degree of performance of MSE &
Financial Inclusion will increase interdependently. The
performance of Banks is poor which leads to slowdown
of the performance of MSE which may be due to various
policy reasons, the monetary and fiscal authority can
improve the quantum of financial inclusion leads of
increase in the MSE performance. When financial
inclusion from bank side increases the performance of
MSE will also increases and vice versa.
REFERENCES
[1] Mandira Sarma. (2008). Index of financial inclusion.
Available at:
http://icrier.org/pdf/Working_Paper_215.pdf.
[2] Mandira Sarma & Jesim Pais. (2008). Financial
inclusion and development: A cross country analysis.
Available at: http://icrier.org/pdf/Mandira%20Sarma-
Paper.pdf.
[3] Ministry of MSME, Annual Report, (2002-2018).
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report-ministry-micro-small-and-medium-enterprises.
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