Access to Finance in Andhra Pradesh
Doug Johnson and Sushmita Meka
IITM Research Park, A1, 10th Floor, Kanagam Village, Taramani, Chennai 600 113,
Tamil Nadu, India. Tel: +91 44 66687000 Fax: +91 44 666 87010 Website: www.ifmr.co.in
Contents
ACKNOWLEDGEMENTS
GLOSSARY
EXECUTIVE SUMMARY
4
5
6
PART I
INSTITUTE FOR FINANCIAL MANAGEMENT AND RESEARCH
CENTRE FOR MICRO FINANCE
AND
CENTRE FOR MICROFINANCE RESEARCH
BANKERS’ INSTITUTE OF RURAL DEVELOPMENT
October 2010
INTRODUCTION
MICROFINANCE IN ANDHRA PRADESH
CATALOGUE OF FINANCIAL SERVICES PROVIDERS
PART II
OVERVIEW OF SAVINGS
OVERVIEW OF BORROWING
ACCESS TO FINANCE IN ANDHRA PRADESH
BORROWING BY HOUSEHOLD TYPE AND SOURCE
Doug Johnson and Sushmita Meka
HOW DO BORROWERS USE THEIR LOAN MONEY?
MULTIPLE BORROWING
The views expressed in this note are entirely those of the authors and should not be attributed
7
8
10
IN-DEPTH LOOK AT SHGS
to the institutions with which they are associated.
MFI BORROWING
OTHER FINANCIAL PRODUCTS
CONCLUSION
REFERENCES
APPENDIX A – SAMPLING METHODOLOGY
APPENDIX B – HOW TO ACCESS AND USE THE DATA
APPENDIX C – DETERMINATION OF OCCUPATIONAL CATEGORIES
12
19
22
24
25
30
33
35
37
38
39
40
40
APPENDIX D – FIVE MOST FREQUENTLY CITED REASONS
FOR NOT AVAILING A LOAN BY LENDER TYPE
APPENDIX E – PROGRESS OUT OF POVERTY INDEX
APPENDIX F – BORROWING BY HOUSEHOLD TYPE AND SOURCE
41
42
43
Glossary
Acknowledgements
The authors would like to thank the Bankers’ Institute of Rural Development at NABARD,
whose generous assistance made this survey and report possible, and Justin Oliver,
Shardul Oza, Santadarshan Sadhu and the rest of the Centre for Micro Finance community
for helpful comments and advice.
4
TERM
MEANING
AIDIS
All India Debt and Investment Survey, a decennial survey conducted by the National Sample Survey
Organization to gather quantitative data on debt, assets and expenditures of households throughout India.
Chit Fund
A revolving credit fund in which members contribute a predetermined amount at specified intervals
and auction the pool regularly.
DCCB
District Central Co-operative Bank, one level of the short term cooperative credit structure
DWCRA
Development of Women and Children in Rural Areas Program, a program launched in 1982 to promote
the wellbeing of women through income-generating activities. A key feature of DWCRA was the
formation of groups, through which members would receive a stipend and revolving fund to
undertake group economic activities.
JLG
Joint Liability Group, JLGs are generally promoted by private MFIs and consist of fewer members than
SHGs (usually 4-5). Members are responsible for repayments of their peers in case of default.
KYC
Know Your Customer norms, due diligence guidelines which must be followed by banks to
identify account holders.
MFI
Microfinance Institution, any private organization that provides microfinance loans.
MFIs can take many legal forms, including non-profit societies and for-profit NBFCs.
NABARD
National Bank for Agriculture and Rural Development, the apex development bank
responsible for regulating credit flow and promoting integrated development in rural areas. Since 1992,
NABARD has promoted India’s largest microfinance program, the SHG Bank Linkage Programme.
NBFC
Non-Banking Financial Company, a type of for-profit company which may offer financial products to
customers and which is regulated by the RBI. Most of India’s largest MFIs are registered as NBFCs.
No-frills account
A basic savings account that the RBI encouraged banks to provide to unbanked customers with or
minimal balance as part of its financial inclusion drive.
NREGA
National Rural Employment Guarantee Act, a centrally-sponsored government scheme enacted in 2005
that ensures a minimum of 100 days of unskilled, minimum-wage employment to all rural households.
PPI
Progress Out of Poverty Index, a simple proxy measure of the likelihood that a household is beneath a
given poverty line. See Appendix E for a detailed explanation.
RBI
Reserve Bank of India, the central bank of India that controls monetary policy.
RRB
Regional Rural Bank. RRBs were established in 1972 to provide credit to weaker sections of society of
rural areas, such as small and marginal farmers, artisans, and agricultural labourers.
RRBs are regulated by NABARD.
SBLP
SHG-Bank Linkage Programme, a program sponsored by NABARD to promote and provide credit to
SHGs nationally. Through SBLP, banks provide SHGs with credit after an initial period of saving
and internal lending.
SHG
Self Help Group, one of the two major microfinance models in India. SHGs generally
consist of 10-20 members that save regularly and extend internal loans through group savings.
Groups may also be sanctioned external loans from banks, federations, or NGOs.
SGSY
Swaranjayanti Gram Swarojgar Yojana, a centrally-sponsored program launched in 1999 to support poor
families through the provision of subsidies and bank credit distributed via SHGs.
5
Executive Summary
Introduction
In this report, we present results from the first
•
ever household survey on access to finance in
India
which
includes
information
on
microfinance, is representative of an entire
state’s (Andhra Pradesh) rural population, and
for which the data is publicly available. The
key findings from the survey are as follows:
BORROWING
•
Access to finance allows the poor to make investments to
these surveys out-of-date. Currently, we do not have accurate
increase their income, better smooth consumption, and protect
estimates of the number of people reached by several types of
this number is primarily driven by households that have
against shocks such as bad weather or illness.
multiple loans from informal sources.
of access to finance for reducing poverty and allowing the poor
(MFIs)).
Despite concerns of overborrowing from microfinance
(as well as those who have not been reached by any financial
have other formal loans outstanding. This figure was 58% for
policies since independence - from the creation of the
service provider) vary. Nor do we know the reasons for or the
households that have SHG loans and 74% for households that
cooperative banking sector to the nationalization of private
extent of multiple borrowing. This lack of knowledge about the
have bank loans.
sector banks in 1969 and 1980– were initiated with the aim of
current state of financial inclusion hampers efforts to craft
increasing access to appropriate financial products. Recently, the
appropriate policies to further increase financial inclusion, makes
SAVINGS
government and central bank have set upon the task of
it more difficult for financial institutions to choose appropriate
• A high percentage (79%) of households in rural Andhra Pradesh
increasing financial inclusion with renewed zeal. The central
expansion locations, and introduces the risk that we are ignoring
government has formed two high-level committees (the
significant distress-induced multiple borrowing.
Committee for Financial Inxclusion and the Committee for
• Only a small proportion of savings accounts (14%) were opened
Financial Sector Reforms) with mandates to investigate what can
In this report, we present preliminary findings from a detailed
for the purpose of savings. Many accounts were instead opened
be done to increase financial inclusion;2 and the Reserve Bank of
survey of access to finance conducted in rural areas of Andhra
for the purpose of receiving government benefits or to help in
India (RBI) has pushed banks to make basic “no frills” accounts
Pradesh, the state in which microfinance has achieved its
receiving a loan.
available to low income households,3 allowed banks to reach out
greatest success to date in India. The survey is, to the authors'
4
knowledge, the first survey which includes detailed information
and relaxed restrictions on the placement of new ATMs. In
on microfinance, which is representative of an entire state’s rural
addition, with the rise of microfinance, a large number of
population, and for which the data is publicly available.7
to customers through agents (or “business correspondents”),
• Perhaps because they were not opened for the purpose of
of households that had a loan outstanding from an SHG, 17%
savings, a large share of savings accounts (approximately 41%)
who had loans outstanding from a moneylender and 37% that
appear to be completely dormant or are used only to receive
non-bank organizations now seek to increase the poor’s access to
had bank loans.
government benefits.
financial services.
Yet even excluding accounts which
represented a small share of overall borrowing and having
appear to be dormant, the percentage of households with an
more than one MFI loan outstanding at a time is quite rare.
active savings account remains relatively high at 61%.
Roughly three quarters (72%) of rural households had a
member who belonged to an SHG.
We do not know how the demographic and economic
characteristics of the clients of different financial service providers
(11%) had a loan outstanding from an MFI, compared to 54%
For all household types, MFI loans
financial service providers (in particular, microfinance institutions
policymakers in India. Indeed, many of the country’s key banking
institutions (MFIs), only a small share of rural households
•
The importance
to lead more fulfilling lives has long been recognized by
A high percentage (93%) of rural households in Andhra
debt is from informal sources.
1
Of those households that have an MFI loan outstanding 82%
•
have access to a savings account.
Pradesh have a loan from some source, though most of this
•
Multiple borrowing is very common – an estimated 84% of
rural households had more than one loan outstanding – but
• Many (36%) unbanked households own a mobile phone and
most households who own a mobile use it regularly.
This report is organized as follows:
We first provide some context for the results by describing the
Yet despite (and in part because of ) this focus on financial
history of microfinance in Andhra Pradesh and the current
inclusion,5 many questions about the state of financial inclusion
landscape of financial services providers serving the poor. The
in the country remain unanswered. While several excellent
subsequent sections contain the main findings from the survey.
surveys have been conducted in the past,6 increases in financial
In the appendices, we provide an overview of the methodology
access and the proliferation of new types of financial service
used to conduct the survey and describe how researchers and
providers have rendered much of the information gathered by
other interested parties may access and use our data.
1. For a general discussion on the importance of access to finance see Armendáriz and Morduch (2005) and Beck and Demirgüç-Kunt (2008). For more detailed discussion of the specific financial needs
of the poor see Collins et al (2009).
2. The reports of these committees are now publicly available. See references section for links to the reports.
3. For more information on the RBI’s push to make “no frills” accounts available to low income households see Ramji (2009) and Thyagarajan and Venkatesan (2008).
4. For more information on the RBI’s business correspondent model see Kobishyn et al (2009).
5. We use the term “financial inclusion” to mean convenient and affordable access to those financial products needed by a household. As this report seeks only to describe the current situation with
regard to access to finance rather than to make statements as to what should be the situation with regard to access to finance, a more precise definition of the term is not necessary.
6. The National Sample Survey Organisation conducts a nationwide survey of access to several types of financial services (the All India Debt and Investment Survey or AIDIS) on a decadal basis which is
available for a nominal fee. The AIDIS was last conducted in 2003 and does not contain information related to microfinance borrowings though. A private company, IIMS Dataworks, conducted a
nationwide survey of access to several financial services in 2007. The survey, while excellent, does not contain detailed questions related to microfinance.
6
7
Microfinance in Andhra Pradesh
Growth of SBLP in India versus AP
For good reason, Andhra Pradesh has often been labeled the
As the SHG movement was being scaled up in the late 1990s,
“Mecca of Microfinance” in India. According to the best
private microfinance institutions also began entering the state.
estimates available, penetration rates of microfinance in Andhra
In 1996, Vijay Mahajan created the MFI BASIX, with funding from
Pradesh are far higher than in any other state in India; 8 several
the Ford Foundation, the Swiss Agency for Development and
12
Cooperation and the Sri Ratan Tata Trust.
Share are based in Andhra Pradesh and began operations in
model and reliance on loans and equity rather than grants for
the state; and the state is home to India’s largest state-led
financing marked a first not just for Andhra Pradesh, but for
microfinance initiative – the Velugu program.
India as well. 13 Other major MFIs, including SHARE, Spandana,
and SKS soon followed suit, converting from non-profit
500000
400000
societies to for-profit Non-Banking Finance Companies (NBFCs).
300000
to government-led attempts to form “Self Help Groups (SHGs),” or
groups of 12 to 20 (mostly) women which collect regular savings
Since 2000, the outreach of private MFIs in Andhra Pradesh
from members and make loans internally to members.
200000
The
has grown at a frenetic pace, with the total number of
government first formed SHGs through the Development of
borrowers more than doubling each year. In 2005, several of
Women and Children in Rural Areas (DWCRA) program. Nationally,
the fastest growing MFIs in the world were based in Andhra
2,73,000 groups (2.73 lakhs) were formed under the program until
Pradesh. 14 At times, this explosive growth has led to tension
its absorption into the larger Swarnajayanti Gram Swarojgar Yojana
between MFIs, the clients they serve, and government
(SGSY) program in 1999.9 However, the formation of SHGs on a
officials. In 2006, Andhra Pradesh was the site of the first
large scale did not take off until the creation of the SHG-Bank
large-scale confrontation between microfinance borrowers
Linkage Program (SBLP) in 1992. Under the program, India's apex
and MFIs in the country. Borrowers in two districts of Eastern
agricultural development bank, the National Bank for Agriculture
Andhra Pradesh (Krishna and Guntur) protested against what
Source: NABARD
and Rural Development (NABARD) provided a set of incentives for
they claimed were exorbitant interest rates and unfair
Note: The India numbers exclude groups linked in Andhra Pradesh. In addition, these numbers only reflect new group linkages
banks to lend to SHGs that adhered to certain guidelines, such as
business practices.
Local bureaucrats quickly intervened,
provided by banks refinanced by NABARD - in reality, the number of SHGs in India and Andhra Pradesh will be much higher, including
collecting regular savings from group members.10
shuttering several MFI offices and publicly stating that
SHGs that have instead received funding from NGOs, banks that did not require refinancing, SHGs and SHG federations that extended
borrowers need not repay loans.
loans directly, and groups that have received repeat linkages.
While the crisis was
In 2000, SHG promotion in Andhra Pradesh was massively
eventually resolved and an agreement was reached between
expanded with the launch of the 5-year Andhra Pradesh District
the MFIs and local government officials, the MFIs in the area
Poverty Initiatives Project (APDPIP). The program, known locally
suffered a huge write-off as a result of the crisis. 15 Since this
as Velugu, was modeled after an earlier program led by United
first crisis, the microfinance sector in Andhra Pradesh has
Nations Development Program.11 The initiation of this program
continued to grow at a rapid pace. At the time of publication
marked a watershed for microfinance in the state. The formation
of this report, Andhra Pradesh was in the midst of its second
of SHGs increased immensely and, as a result, close to half of all
crisis, fueled by stories that over-indebtedness and coercive
bank-linked SHGs were originally located in Andhra Pradesh.
collection practices have led to borrower suicides.
7.
8.
8
600000
BASIX's for-profit
of India’s largest MFIs including SKS, Spandana, BASIX, and
The origins of microfinance in Andhra Pradesh can be traced back
700000
Due to difficulties in surveying in one area of Andhra Pradesh, the survey results are representative of the entire rural population excluding Krishna district in which surveying proved impossible.
See appendix A for more details on the sampling methodology and the reasons for this exclusion.
Making comparisons of microfinance penetration between areas is difficult due to the lack of comprehensive information on the outreach of private MFIs. Yet based on outreach figures from the
largest MFIs and official statistics on SHGs, microfinance penetration in Andhra Pradesh is far higher than in other parts of the country. (See the Centre for Micro Finance’s Map of Microfinance,
located at http://ifmr.ac.in/map, for more information.)
9.
Department of Rural Employment and Poverty Alleviation. “Annual Report: 1998-1999.” Ministry of Rural Development, New Delhi: 1999.
10.
Fernandez, Aloysius P. “History and Spread of the Self-Help Affinity Movement in India: the Role Played by IFAD.” Occasional Paper Series, IFAD, July 2007.
< http://www.ifad.org/operations/projects/regions/pi/paper/3.pdf>
11.
Deininger, Klaus and Yanyan Liu. “Economic and Social Impacts of Self-Help Groups in India.” Policy Research Working Paper 4884, World Bank, March 2009.
12.
Sriram, MS. “Commercialisation of Microfinance in India: A Discussion on the Emperor’s Apparel.” Working Paper No 2010-03-04, Indian Institute of Management, Ahmedabad, March 2010.
100000
INDIA
AP
0
2002
2003
2004
2005
2006
2007
2008
13.
Interview with Vijay Mahajan, Access Development Services, Contribution to the Sector Award, 2009. <http://www.microfinanceindia.org/download_reports/awards_brochure_2009_mahajan.pdf>
14.
www.themix.org
15.
The Andhra Pradesh crisis is often portrayed as either the natural outcome of the immoral behavior of overly profit-seeking MFIs or, alternatively, as the product of bureaucrat’s jealousy over MFIs’
success compared to the state-led SHG program. The reality is much more subtle and complex. For an excellent account of the crisis, see Prabhu Ghate’s analysis in the Microfinance India State of
the Sector Report, 2006. < http://www.microfinanceindia.org/download_reports/state_of_the_sector_06.pdf>
9
Catalogue of Financial Services Providers
ENTITY
DESCRIPTION
EXAMPLES OF
PRODUCTS OFFERED
The poor in India access financial services from a variety of
regulated at all.
Post office 17
different providers. We briefly describe the most important of
between these categories is blurred. (For example, a few
these providers and how they are regulated (if at all), the
microfinance institutions such as SEWA and BASIX own
types of products they offer, and their overall size and market
registered banks. Some chit funds and even a few
penetration below.
We have loosely categorized financial
moneylenders are registered as formal institutions. And the
service providers into the groups “formal,” “semi-formal,” and
cooperative banking sector and regional rural banks are
In addition to delivering mail,
India Post offers a variety of
financial services such as
money transfers and recurring
deposit accounts. India Post is
regulated and supervised by
the Ministry of Finance rather
than the RBI.
“informal” below based on whether the entities are (typically)
supervised by NABARD rather than by the RBI directly.)
-Small Savings schemes– basic,
recurring, time deposit,
monthly income, national
savings certificate, etc.
- National Rural Employment
Guarantee Act (NREGA)
wage disbursal
- Old-age pension disbursal
-Money Transfer
Insurance
companies
Public and private insurance
companies offer a variety of
insurance products.
Insurance companies are
regulated and supervised by
the Insurance Regulatory and
Development Authority (IRDA).
- Various insurance products
- health, life, accident, home,
motor, travel - Pension plans
-Life Insurance
Corporation of India
-ICICI Prudential
Central and
state
governments
In some instances,
central and state
government directly
provide financial services
to citizens.
- Health insurance
-Rajiv Gandhi Aarogyasri
Community Health
Insurance for BPL
card holders
-As of January 2010,
27,00,000 (27 lakh)
screenings have been
conducted and 5,00,000
(5 lakh) treatments
have been provided
under the Rajiv Gandhi
Arogyasri health
insurance program
Deposit taking
Non-Bank
Finance
Companies
In addition to formal banks
and the post office,
non-banking finance
companies which satisfy
certain regulatory requirements
such as maintaining a 200 lakh
net owned fund may accept
deposits from the public.
- Fixed deposits minimum
12 months at a max
interest rate of 12.5%
- Recurring deposits
- Sahara
- Peerless
- 314 such institutions
as of January 201018
- Of these, 8 are registered
in Andhra Pradesh
EXAMPLES
PENETRATION
In many cases though, the distinction
regulated by the RBI, regulated by some other agency, or not
Table 1: Formal Financial Service Providers in India
ENTITY
DESCRIPTION
EXAMPLES OF
PRODUCTS OFFERED
EXAMPLES
PENETRATION 16
Public sector
commercial
banks
Commercial banks
in which the government
owns a majority stake.
Various
State Bank of India
- State Bank of Hyderabad
- State Bank of India
- 27 banks
- 55,921 total branches
Private sector
commercial
banks
Commercial banks
in which the government
does not have a majority stake.
Various
- ICICI
- Axis Bank
- HDFC
- 22 banks
- 8,965 total branches
Regional
Rural Banks
(RRBs)
Special type of commercial
bank with an explicit
mandate to focus on rural
operations. All RRBs are
owned in part by the central
government, in part by the
government of the state in
which they operate, and in
part by a single commercial
bank. RRBs may only conduct
operations in a single state
and are supervised by NABARD.
Various, with focus
on loans for agricultural
purposes
- Andhra Pradesh
Grameena Vikas Bank
- 86 banks
- 15,144 total branches
Second tier in the rural
cooperative banking structure.
In addition to serving as a
source of financing for PACs
(see below) by borrowing from
State Cooperative Banks and
on-lending to PACs, DCCBs also
directly offer one product,
Kisan Credit Cards, to farmers.
DCCBs are supervised
by NABARD.
DCCBs’ only product
directly offered to customers
is the Kisan Credit Card,
a line of credit which allows
farmers to purchase
agricultural inputs,
such as seeds and fertilizers,
in a timely manner.
-371 banks (March 2008)
Bottommost tier of the rural
cooperative banking system.
PACs focus primarily on
providing credit for agricultural
purposes and are regulated
by NABARD.
- Crop loans
- 94,942 total
(end March 2008)
- Average of 7 villages
covered by each PAC
- 131 million members
(79 million borrowers)
District Central
Cooperative
Banks (DCCBs)
Primary
Agricultural
Cooperative
Societies
(PACSs)
- Andhra Pragathi
Grameena Bank
16. All statistics taken from the Reserve Bank of India’s “Report on Trend and Progress of Banking in India 2008-2009” unless otherwise specified.
17. India Post Annual Report, 2008-2009
18. Reserve Bank of India, “List of Deposit Taking Companies Cat ‘A’”
19. Statistics taken from “Microfinance India State of the Sector Report 2009” unless otherwise cited
10
EXAMPLES
PENETRATION
- 154,000 branches
- 174 million
savings accounts
- Rs. 5.64 trillion
outstanding
- 21 million
NREGA accounts
(Dec 2008)
Table 2: Semi-Formal Financial Service Providers in India19
ENTITY
DESCRIPTION
EXAMPLES OF
PRODUCTS OFFERED
Microfinance
Institutions
(MFIs)
Private providers of
microfinance loans.
May take a variety of
institutional forms, but the
largest MFIs are typically
registered as NBFCs and as
such are regulated by the RBI.
Self Help
Groups (SHGs)
Groups of 10-15 which borrow - Various types of loans
from (typically) a bank or
(less commonly) other lender
and lend internally to members.
The SHG model of microfinance
differs from the MFI model in
that SHGs typically borrow from
banks and lending decisions
are made internally by the
group itself. NABARD provides
financial incentives to banks to
support SHG lending.
-Joint liability group loans –
Group loans in which all members
of a group (typically 5 members
in size) are jointly responsible for
all group members’ repayments.
Tenure of loan is typically one
year and repayments are most
often weekly
- SKS
- Spandana
- Share
- Approximately 250 MFIs
- 20 million clients in India
(25 %, or nearly 5 million
in Andhra Pradesh)
- Rs. 117 million
outstanding (2009)
- Rs. 5200 average per
capita outstanding
-2.8 million SHGs
-Rs. 241.9 million
outstanding (as of March
2009)
-54.3 million clients in
India (29 %, or 15.8 million
in Andhra Pradesh)
11
Table 3: Informal Financial Service Providers in India
Table 4: Share of Rural Andhra Pradesh Households with a Savings Account by Bank Type
Public Sector Bank
41 %
36 %
Regional Rural Bank
14 %
13 %
Cooperative Bank
14 %
12 %
Post Office
42 %
11 %
Any of the above
79 %
61 %
*Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
%
%
85
%
21
58
%
91
%
%
78
32
%
96
%
%
73
91
%
96
%
%
53
88
71
%
Figure 2: Financial Inclusion by Occupational Category
%
As of November 2009, 100
chit funds are registered
under the Madras Chit
Funds Act and another 70
under the 1982 Chit
Funds Act.21
1%
%
- Shriram Chits
1%
98
- Chit loan
Private Sector Bank
%
A type of revolving credit fund
in which members contribute
a pre-determined amount at
specified intervals and auction
the entire amount each
meeting to one member.20
Large chit funds are typically
formally registered while
smaller chit funds often
operate without any formal
registration.
SHARE OF HOUSEHOLDS WITH
SAVINGS ACCOUNT (EXCLUDING 0
AND RS 50 BALANCE ACCTS)*
47
- Traditional cash loans
- Agricultural input loans (direct
provision of seeds, fertilizers, etc.)
SHARE OF HOUSEHOLDS
WITH SAVINGS ACCOUNT
BANK TYPE
81
Any informal lender. There are
a variety of types of
moneylenders active in India –
shopkeepers who lend in kind,
crop traders who lend against
purchase of harvest,
landowners who lend to
tenants, and jewellery
merchants who lend against
jewellery as collateral are just
a few of the better known
types of moneylenders
PENETRATION
%
EXAMPLES
%
Money-lenders
Chit funds
EXAMPLES OF
PRODUCTS OFFERED
90
DESCRIPTION
11
ENTITY
100%
80%
Overview of Saving
60%
A large proportion of households have a formal
savings account.
through a formal savings account (typically a post office
40%
account). 24 While the primary motivation for using formal
savings accounts to deliver NREGA wages was to reduce
Over the past several years, the RBI has launched several
corruption, the policy also had a substantial impact on access
initiatives to increase access to savings accounts throughout
to savings accounts because many NREGA participants lacked
the country. First, in 2005 the RBI instructed banks to make
a formal savings account prior to adoption of the policy.
20%
0%
LANDLESS
LABOURER
basic “no frills” accounts with low or minimal balance
requirements and usage fees available to the poor. Second,
Results from the survey show that the cumulative effect of
the RBI relaxed the Know-Your-Customers (KYC) requirements
these policies has been a large increase in the share of rural
for these no frill accounts to make it easier for poor
households with a formal savings account. Table 4 shows the
customers, who often lack identity documents, to open
penetration rate of formal savings accounts by bank type.
accounts (The other goal of the initiative was to reduce the
Overall, a staggering 78% of rural households now have
burden of paperwork for banks.) Third, in 2006 the RBI
access to a formal savings account. While earlier estimates of
launched a “100% financial inclusion drive” in which at least
the share of rural households in Andhra Pradesh that have
one district in each state was targeted for 100% financial
access to a formal savings account are not available, a similar
assigned
study by the World Bank and NCAER in 2003 found that only
responsibility for opening at least one basic savings account
41% of rural households in both Andhra Pradesh and Uttar
for each financially-excluded household in a given area in
Pradesh had access to a savings account (Basu and Srivastava,
each district selected for the drive.
Civil society and the
2005). Further, this same study found that access to savings
media were engaged to create awareness of the program and
accounts was concentrated in the hands of the relatively
to highlight the benefits of having a bank account to the
well-off: only 30% of marginal farmers and landless labourers
inclusion.
Under
the
drive,
banks
were
Recently, the state government has also played a
in rural Andhra Pradesh and Uttar Pradesh had a formal
major role in increasing access to formal savings accounts in
savings account. In contrast, our survey finds that at the time
Andhra Pradesh.
poor.
12
23
22
Over the past three years, the state
of the survey over 70% of landless labourers and marginal
government has made a concerted effort to deliver all wages
farmers in rural Andhra Pradesh had access to a savings
to participants in NREGA (a national workfare program)
account. 25
FARMER
(SMALL)
FARMER (MARGINAL)
SHARE WITH SAVING ACCOUNT
COMMERCIAL
FARMER (LARGE)
SHARE WITH LOAN FROM FORMAL SOURCE
OTHER
SHARE WITH LOAN FROM ANY SOURCE
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
20.
An example may serve to make the concept clearer: 20 members join a “chittie” and agree to pool Rs. 200 monthly. Each month, an auction is held in which members bid for the pool. The highest
bid will translate to a percentage deduction from the entire amount (example a bid of 20%). The winner will receive the pool minus the deduction amount (Rs. 8000), while the remaining members
will receive an equal percentage of the deduction amount (Rs. 2000). This would continue for 20 months, and the final member would receive the entire pool without penalty of deduction.
21.
Department of Chit Funds. (2009). “List of Chit Fund Companies Working Under the Chit Funds Act, 1982.”
22.
While initially only one district in each state, selected by the State Level Bankers’ Committees, was to be included in 100% financial inclusion drive later the drive was expanding to include many
more districts. See Thyagarajan, S and Jayaram Venkatesan (2009).
23.
The following districts in Andhra Pradesh have claimed to have achieved 100% financial inclusion under the drive: Srikakulam, Nizamabad, Rangareddy, Chittoor, Warangal, Kadapa, Nellore,
Prakasam, Kurnool and Ananthapur. Out of these districts, three (Nizamabad, Kadapa and Prakasam) were included in this survey.
24.
While all state are technically required to deliver NREGA wages via a formal account by the Ministry of Rural Development the extent to which states have adhered to this mandate has varied
greatly.
13
other than savings may still be used for saving at a later date.
account is high, only a small minority of these accounts (14%)
Indeed, instilling savings behaviour in beneficiaries is a much
were opened for the purpose of savings. The vast majority of
cited reason for delivering government benefits through
accounts (79%) were opened either to receive government
formal savings accounts. 26
80%
While the share of rural households with access to a savings
100%
Figure 4: Stated Reasons for Opening Savings Account by Bank Type
A large portion of savings accounts are not used for saving.
Yet a closer look at savings account balances reveals that a
of which were opened for the purpose of receiving
large percentage of savings accounts held by rural
government benefits, and savings accounts at co-operative
households remain dormant: 13% have a balance of 0 rupees
banks, most of which were opened for the purpose of
and 29% have a balance of 50 rupees. 27
obtaining a loan.
account dormancy is driven primarily by accounts opened for
40%
especially so in the case of post office savings accounts, most
60%
benefits or to increase the chances of receiving a loan. This is
20%
The high rate of
In light of the policy initiatives described earlier, these results
accounts opened to receive government benefits had a
are hardly surprising. Most post office savings accounts were
balance of Rs. 0 or Rs. 50. Column 3 of Table 4 displays the
likely opened for the express purpose of receiving NREGA
share of households that hold a savings account with a
wages while many bank accounts were likely opened as part
balance not equal to Rs.0 or Rs. 50 from each type of bank, the
of the 100% financial inclusion drive, not due to a customer
post office, and overall. While the overall rate of access to a
directly requesting an account. These findings do not necessarily
formal savings account, at 61%, is still very high when
imply that the account holders do not use their accounts for
dormant accounts are excluded, it is significantly lower than
savings. An account opened for a purpose
the unadjusted figure which includes dormant accounts.
0%
the purpose of receiving government benefits – 76% of
PRIVATE BANK
DON’T KNOW
PUBLIC BANK
TO RECEIVE LOAN
RRB
CO-OPERATIVES
RECEIVE INSURANCE
RECEIVE GOVERNMENT BENEFITS
POST OFFICE
SAVINGS
WON’T SAY
RECEIVE SALARY
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Cooperative banks perform relatively well in reaching out to marginal farmers while public banks
and the post office perform well in reaching out to landless labourers.
Figure 3: Stated Reasons for Opening Savings Account
Figures 5 and 6 display the proportion of clients from each
farmers among their clients compared to other types of banks.
The average
Likewise, public sector banks and the post office count a
score of clients of different bank types on the Progress out of
relatively large share of landless labourers among account
Poverty Index (PPI) is shown in Figures 7 and 8. 29
holders.
broad occupational category by bank type.
0.1%
28
This finding does not change when zero balance
accounts are excluded from the analysis, indicating that the
14%
31%
The graphs reveal that cooperative banks, true to their
policy of opening post office accounts for NREGA workers is
mandate, have a disproportionately large share of marginal
not the primary driver of these results.
5%
1%
Financial Exclusion
DON’T KNOW
TO RECEIVE LOAN
RECEIVE INSURANCE
48%
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
14
SAVINGS
Given the importance of financial exclusion, our report
included. This is demonstrated visually in the box plots below.
investigates the nature of financial exclusion and major
In addition, the difference between the mean PPI of unbanked
reasons leading to the financial exclusion of the households.
households and the mean PPI of banked households is
Financial exclusion is often characterized as an outcome of
statistically significant, 30 regardless of whether zero-balance
poverty fueled by unavailability of appropriate service
accounts are included. Similarly, the difference between the
WON’T SAY
providers catering to the need of the poor. Unsurprisingly,
mean PPI of households that have an account at a private bank
RECEIVE GOVERNMENT BENEFITS
unbanked households tend to be poorer than the banked and
and the mean PPI of households without an account at a
clients of private banks tend to be richer than clients of other
private bank is also statistically significant, 31 regardless of
banks, regardless of whether zero balance accounts are
whether zero-balance accounts are included.
RECEIVE SALARY
25.
An explanation of how households were assigned occupational categories may be found in Appendix C. Please note that the methodology for assigning occupational categories used in this report
differs slightly from that used by Basu and Srivastava (2005).
26.
See, for example, comments made by PC Jaffer, former district program coordinator for NREGA in Gulbarga District of Karnataka, available at
http://www.solutionexchange-un.net.in/NREGA/documents/NREGA-Gulbarg.pdf
27.
“No frills” accounts commonly have either zero balance or a Rs. 50 minimum balance requirement.
28.
For an explanation of how occupational categories of households are determined please see Appendix C.
29.
The Progress out of Poverty Index (PPI) is a simple poverty scorecard developed by the Grameen Foundation. A household’s score on the PPI may be used to determine the likelihood that the
household falls below various poverty lines with lower scores corresponding to a higher likelihood that the household falls below a poverty line. PPI scores may be averaged across households to
arrive at a poverty rate for the entire group. For more information on the progress out of poverty index see www.progressoutofpoverty.org.
30. At the 1% level of significance based on a two way t-test.
31. At the 5% level of significance based on a two way t-test.
15
Figure 7: PPI of Account Holders by Bank Type*
0%
20
20%
40
40%
60
60%
80
80%
100
100%
Figure 5: Client Profile by Bank Type
PRIVATE BANK
PUBLIC BANK
RRB
CO-OPERATIVES POST OFFICE
COMMERCIAL
FARMER (MARGINAL)
OTHER
FARMER (LARGE)
0
UNBANKED
LANDLESS LABOURER
FARMER (SMALL)
UNBANKED
PRIVATE BANK
PUBLIC BANK
RRB
CO-OPERATIVES
POST OFFICE
*Middle lines within boxes correspond to median PPIs for respective bank type. Lower edges of boxes correspond to median PPIs for
respective bank type. Lower edges of boxes correspond to 25th percentile and upper edges of boxes correspond to 75th percentile PPI
value for respective bank type.
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Figure 6: Client Profile by Bank Type (excluding 0 balance accounts)*
80%
100
100%
Figure 8: PPI of Account Holders by Bank Type (excluding 0 balance accounts)*^
UNBANKED
PRIVATE BANK
PUBLIC BANK
RRB
CO-OPERATIVES POST OFFICE
LANDLESS LABOURER
COMMERCIAL
FARMER (MARGINAL)
FARMER (SMALL)
OTHER
FARMER (LARGE)
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
0
0%
20
20%
40
40%
60
60%
80
66%
UNBANKED
PRIVATE BANK
PUBLIC BANK
RRB
CO-OPERATIVES
POST OFFICE
* Accounts with Rs.50 balance also excluded.
^Middle lines within boxes correspond to median PPIs for respective bank type. Lower edges of boxes correspond to median PPIs for
respective bank type. Lower edges of boxes correspond to 25th percentile and upper edges of boxes correspond to 75th percentile PPI
value for respective bank type.
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
16
17
Households without a savings account cite insufficient savings, lack of awareness of savings
products, and lack of need as their primary reasons for not opening an account.
Overview of Borrowing
Investigating the reasons leading to financial exclusion, we
documentation required for opening an account, fees/expenses
The overall rate of indebtedness is extremely high.
found interesting results that show while 37% of the excluded
etc.). A large percentage (28%) cited lack of awareness of the
households cited the insufficiency of funds as a reason for not
banks and their products as their reason for not opening an
having a savings account, almost half of the excluded
account while 16% cited lack of required documentation.
households (49%) cited a reason related to banks or the
Surprisingly, very few unbanked households cited distance to a
procedure of opening an account (such as having little
bank branch, trustworthiness of the bank, or the attitude of
knowledge about banks/their products, not having proper
bank employees as reasons for not opening an account.
Our survey reveals that overall rates of indebtedness, from
It is unclear how much of the discrepancy between our
virtually all sources, are much higher than previously estimated.
estimates and that of the NSSO is due to differences in
According to the 2003 round of the All India Debt and
survey methodology and how much is due to actual
Investment Survey (AIDIS) conducted by the National Sample
changes in rates of indebtedness between the survey
Survey Organization, 33% of rural households in Andhra Pradesh
periods. 32 Nevertheless, our data indicate that actual rates
had a loan outstanding from any source, 11% had a loan from a
of
formal source, and 25% had a loan from an informal source at
estimated.
indebtedness
are
much
higher
than
previously
the time of the survey (2003). Data from our Access to Finance
Table 5: Stated Reasons for Not Availing Savings Account among Financially Excluded
survey shows that the current overall rate of indebtedness in
The average and median amounts of total outstanding
rural Andhra Pradesh (to any source), at 93%, is much higher than
loans from all sources (formal, semi-formal, and informal)
PERCENTAGE OF HOUSEHOLDS
CITING REASON
previously estimated. Additionally, we find that 37% of
were also relatively high. Table 8 displays these amounts,
households have a loan from a formal source, 82% have a loan
broken down by household occupational profile as well as
No or not enough savings for bank account
37
from an informal source, and over half have a loan from either a
by religious/caste affiliation (scheduled caste, scheduled
Don’t want/need
24
MFI or an SHG – a loan category that was so negligible at the
tribe, and Muslim households). Notably, large farmers
Save through other means
1
time of the AIDIS that it was not included in the survey.
borrowed an average of well over Rs. 1,00,000 (1 lakh).
Bank / Procedure related
49
• Have no idea about banks or bank products
28
• Don’t have proper documentation
16
• Fees/expenses
5
• Applied but rejected
3
• Procedures/application too difficult to understand
2
• Takes too much time
1
• Banks not trustworthy
1
Private
1%
• Branch officials not friendly/courteous
0.5
Public
20%
• Branch too far
0.2
Other reasons
2
REASON
Table 6: Percentage of Rural Andhra Pradesh Households Indebted by Source
MAJOR SOURCE
Over half (51%) of rural households have mobile phones. Almost all households who own a mobile use the phone regularly.
ESTIMATED SHARE OF
HOUSEHOLDS WITH LOAN
FROM SOURCE BASED ON
ACCESS TO FINANCE SURVEY
Banks
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Many unbanked households own mobile phones.
SUB-SOURCE
RRB
9%
Coop
10%
Government Program
0.1%
All Banks
38%
SHG
54%
MFI
11%
Informal
Interestingly, 36% of households with no savings account own at least one mobile phone. (If Rs. 0 and Rs. 50 balance accounts are
excluded, this figure does not change.) These figures suggest that mobile banking may hold significant potential as a method of
providing financial services to the unbanked.
Any loan source
Moneylender
17%
Friends (with interest)
57%
Friends (no interest)
9%
Employer
3%
Landlord
21%
Unknown sub-source
1%
All informal sources
82%
93%
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
32.
18
Despite significant effort by the authors to identify substantive differences in the methodologies of the two surveys (e.g. – a definition of what constitutes a loan), we were unable to uncover any
differences significant enough to account for these discrepancies.
19
Table 7: Percentage of Rural Andhra Pradesh Households Indebted, other sources
MAJOR SOURCE
SUB-SOURCE
SHARE OF HOUSEHOLDS WITH
LOAN FROM SOURCE
Over half of rural households borrow from
SHGs, but only around 11% have an MFI Loan. 33
Since the crisis in Krishna and Guntur in 2006 (see section
allow us to compare rates of indebtedness to microfinance
Credit card
1%
“Microfinance in Andhra Pradesh” above for more information),
lenders with indebtedness to other types of lenders.
Overdraft
0.1 %
many in the microfinance community have expressed concern
In kind agriculture input loan
12 %
Without commitment
6%
With commitment - portion of harvest
must be sold at fixed price to lender)
7%
Routinely purchases from shop on credit
37 %
Member of chit fund
8%
Figure 9: Total Loan Amount Outstanding by Source
1%
5%
that several areas in South India, the state of Andhra Pradesh in
Data from the survey show that indebtedness to SHGs is indeed
particular, have become oversaturated with microfinance and
quite high at 53%. Indebtedness to MFIs, at 11%, is significant
that borrowers are taking on more debt than they can handle
but relatively modest when compared to indebtedness to other
(See, for example, Rozas and Sinha (2009)). While data from this
major loan providers. (See section “Borrowing by Household
survey does not permit us to assess the truth of this statement as
Type and Source” below for more detail on indebtedness to MFIs
we are unable to determine absolute borrowing capacity, it does
by household type.)
Non-routine expenditures are common and are typically due to a need for medical treatment or
festivals. Non-routine expenditures are overwhelmingly financed through savings or informal sources.
A majority (64%) of rural households were forced to make a
informal sources to finance these non-routine expenditures. This
non-routine expenditure of some type during the six months
may be due to a reluctance on the part of formal lenders to lend
prior to the survey. By far, the most common reason for incurring
for non-productive purposes or alternatively, the increased
a non-routine expenditure was to pay for medical treatment.
34
speed or flexibility of informal lenders.
Table 10 shows that households relied almost exclusively on
18%
Table 9: Top 5 Non-routine Expenditures
NON-ROUTINE EXPENDITURE
MFI
75%
SHARE OF HOUSEHOLDS WHICH INCURRED
MAJOR EXPENDITURE ON GIVEN ITEM
IN PAST 6 MONTHS
Health
36%
Festival or special event aside from marriage
11%
Marriage
11%
BANK
Buy agricultural machinery or inputs
10%
SHG
Home improvement/repair/construction
7%
INFORMAL
Any non-routine expenditure
64%
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Table 10: Top 5 Sources of Financing for Non-routine Expenditures
SOURCE
Table 8: Loan Outstanding per Household by Occupational Category
HOUSEHOLD PROFILE
% WITH OUTSTANDING LOAN
MEAN OUTSTANDING
MEDIAN OUTSTANDING
Landless Laborer
89%
INR 36,933
INR 21,600
Commercial
90%
INR 57,948
INR 33,680
Farmer - Marginal
97%
INR 54,446
INR 37,450
Farmer - Small
96%
INR 77,728
INR 53,000
Farmer - Large
95%
INR 110,534
INR 82,000
Other
85%
INR 48,412
INR 29,500
Scheduled Caste
94%
INR 49,861
INR 31,220
Scheduled Tribe
91%
INR 65,026
INR 30,100
Muslim
84%
INR 55,794
INR 40,200
SHARE OF NON-ROUTINE
EXPENDITURES FINANCED THROUGH
A GIVEN SOURCE IN THE PAST 6 MONTHS
Loan from friends/relatives
43%
Own income or savings
29%
Loan from moneylender
13%
Loan from landlord
11%
Loan from MFI/SHG
6%
33. In the Access to Finance survey and in this report, microfinance lending is divided into two primary categories: Self Help Groups (SHGs) and Microfinance Institutions (MFIs). Given the sometimes subtle
distinction between these two forms of microfinance, surveyors were given extensive training on how to distinguish between MFI groups and SHGs. If the categorization was not immediately clear from the
name and description of the group and organizing entity (which sometimes respondents did not know), surveyors probed further to understand the number of members of the group, management of any
group savings, and process for managing and distributing credit. It should also be noted that this distinction between MFIs and SHGs slightly oversimplifies the ground reality of microfinance in India in that
MFIs also occasionally lend to SHGs. In cases where a household was a member of an SHG that was created and lent to by an MFI we have classified the loan as an SHG loan. Also, any loan that is received
through an SHG is categorized as “SHG” and not as “Bank,” although SHG loans themselves frequently originate from banks through the SHG Bank-Linkage Programme.
34. This result is especially salient in light of the state government’s generous health insurance program which allows any BPL household to receive treatment for a variety of ailments for free at a wide range of
both public and private hospitals. See the section on the Arogyasri Health Insurance Scheme below for more details.
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
20
21
Borrowing by Household Type and Source
Average poverty levels of clients reached by
different types of lenders are relatively similar.
responses which suggest that there is high pent-up demand for
loans from banks.36 A large majority of households with no loans
from MFIs cited the inability to make regular payments or to save
MFIs reach relatively more landless labourers and fewer farmers than other lenders.
Microfinance institutions are widely perceived to reach out to
regularly as a key reason for not taking an MFI loan. Many
Microfinance lenders, especially MFIs, reach significantly fewer
shows that farming households of all types (marginal, small, and
households which are poorer than those reached by banks or
households that abstained from joining SHGs also cited an
farming households and significantly more landless labourer
large) are not as well represented among MFI or SHG borrowers
other formal lending sources (Morduch, 1999). Yet surprisingly,
inability to save regularly as a barrier, though they did so far less
households than banks.
group but these households make up a relatively larger
we find almost no difference in the mean PPIs of clients of
frequently than those who abstained from MFI loans. Several
percentage of households borrowing from banks.
different types of lending institutions. While the mean PPI of
households with no loan from an SHG also cited potential for
households with no loan from any source is statistically
group conflict and an inability to find a group willing to accept
significantly lower than the mean PPI of households with a loan,
them. Interestingly, these reasons are nearly absent from the list
there is no statistically significant difference between the PPIs of
of reasons for not taking a loan from an MFI.
Figure 10 displays the share of
households of each occupational type by lender type. The graph
100%
the set of households borrowing from different lender types.
80%
Due to the limitations of the data on which the index is based,
payments as a reason for not taking a microfinance loan is hardly
the PPI score is not as accurate an indicator of poverty as
surprising. Microfinance loans, especially MFI loans, often have
60%
measures based on detailed consumption surveys. Further, a
rigid and frequent repayment schedules. More surprising is the
simple test of means may hide interesting differences in the
fact that households without a loan from an informal source also
40%
distribution of the poverty scores of households which borrow
cited an inability to make regular repayments as a major reason
from different sources. Nevertheless, this result shows that the
for not taking such a loan nearly as frequently as households
20%
Figure 10: Profile of Client Occupations by Lender Type
difference in the poverty profiles of borrowers of different lender
without loans from MFIs, and more frequently than those
types may not be as large as many believe.
without loans from SHGs. This suggests that we should be
The fact that respondents cited an inability to make regular
0%
cautious in inferring that inflexibility of repayment schedules is a
NO LOAN
BANKS
LANDLESS LABOURER
MFI
COMMERCIAL
FARMER (SMALL)
OTHER
SHG
Households abstain from borrowing for a
variety of different reasons.
INFORMAL
FARMER (MARGINAL)
major hurdle to households joining SHGs.
A similar pattern emerges in the responses of those who did not
FARMER (LARGE)
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Appendix D lists the top five reasons households cited for not
participate in a chit fund. This group did not cite lack of trust in
taking a loan from a specific source. In the case of bank loans,
chit fund operators, who have been frequently labelled
households often cited external factors such as lack of land, lack
dishonest in the press, as a major reason for their
of a guarantor, a rejected application, and lack of documents,
non-participation.
For all household types, MFI loans make up a
very small share of total debt.
Shortly before the publication of this report, the government of
have at least one loan outstanding from that source).
Andhra Pradesh passed an ordinance requiring that, among
example, column 1 in Figure 19 displays the mean outstanding
other things all MFIs: register with the state government, submit
from banks for all landless labourer households who have at least
a list of all borrowers with outstanding loans, and obtain
one loan from a formal source. Figure 18 shows that the share of
approval in writing before lending to SHG members with loans
the poorest households – landless labourer households – with at
outstanding from the SHG (Andhra Pradesh State Government,
least one MFI loan is only slightly higher than the share of these
2010). The ordinance was prompted, in part, by news reports
same households with a loan from a bank. Further, Figures 19
suggesting that levels of indebtedness to MFIs are unsustainable.
and 20 show that the average (median) outstanding in MFI loans
Many of these reports also claimed that MFIs charge usurious
for these households is relatively modest compared to the total
interest rates and employ immoral collection techniques.
35
For
outstanding from other sources. Similarly, Figures 21, 22 and 23
reveal that MFI loans make up only a modest share of the total
22
While this survey is unable to shed light on the latter two claims,
borrowing for marginal farmer households. For both of these
the data clearly shows that MFI loans, for all household types,
household types, as well as for the other wealthier household
make up only a small portion of overall debt. The figures in
types, overall borrowing, both in terms of the share of
Appendix F display levels of indebtedness by source and
households with at least one loan from the source, as well as total
household type along with the average and median outstanding
amount outstanding, continues to be dominated by loans from
for households of each type by source (provided that households
informal sources.
35.
Lack of documents was the sixth most common reason for not taking a loan from a bank. An estimated 9.7% of rural households without a loan from a bank did not take a bank loan for this reason.
36.
For a detailed account, please refer to the “India Microfinance State of the Sector Report, 2009.”
23
How Do Borrowers use their Loan Money?
Multiple Borrowing
Loans from different sources are used for different purposes.
In January 2009, microfinance operations in Karnataka were disrupted
The lack of hard data on multiple borrowing has led to wildly
when the Muslim clergy in Kolar district called for a halt in microfinance
divergent claims on how common the phenomenon is and
Data on loan usage reveals that loans from different sources
The data also reveals that a large percentage of loans are used to
are used for different purposes. For example, bank loans are
repay old debt. While this finding may appear alarming (since it
used to finance the purchase of agricultural inputs to a
could suggest that households are entering a vicious debt cycle), it
much greater extent than loans from other sources. Loans
may also be the case that households are simply using new loans
from
informal
sources
are
used
for
health
and
with lower interest rates or better terms to pay off older loans.
marriage-related expenses much more than loans from
(Unfortunately, the survey did not include a question on why the
other sources. And SHG loans are disproportionately used
new loan was used to repay the old and thus we are unable to
to finance consumption.
distinguish between these two cases.)
37
The resulting Kolar crisis sent the microfinance
whether it should be a source of concern for the microfinance
community-in India and abroad-abuzz with talk of debt fatigue and
sector. In one camp, there are those who claim that multiple
over-borrowing. A Wall Street Journal article declared India to be facing
borrowing is widespread and may cause a whole-scale crisis in
an imminent “credit crisis,” implying that the sector was approaching
the sector. Some have even gone so far as to compare the state
bubble conditions (Ghokale 2009). The Kolar crisis was highly
of the microfinance sector in South India with that of the
reminiscent of the Andhra Pradesh crises, and these events raise serious
sub-prime mortgage market in the United States prior to the
questions about whether microfinance clients are taking on more debt
recent financial crisis (Rozas 2009). Those in the second camp
than they can handle and about the extent of multiple borrowing.
claim that reports of multiple borrowing are exaggerated and,
repayments.
to the extent that it exists, multiple borrowing is caused mainly
Table 11: Usage of Loan Money by Lender Type
BANK
MFI
SHG
INFORMAL
Unfortunately, prior to this survey, there was very little data available
by borrowers’ inability to fulfil their complete credit needs
on the prevalence of multiple borrowing. In the absence of reliable
from a single source. Below we attempt to bring hard data to
data on multiple borrowing, researchers have been forced to rely on
this debate.
Start New Business
2%
3%
2%
1%
indirect methods of estimating multiple borrowing (see, for example,
Buy agricultural inputs
58%
13%
19%
20%
Krishnaswamy 2007) or on surveys conducted in small areas with a
Purchase stock
3%
10%
4%
3%
known high incidence of multiple borrowing (see, for example,
Repay old debt
15%
25%
20%
7%
Kamath, Mukherji, and Ramanathan 2008, or APMAS 2006). While
Multiple borrowing is extremely common, with an estimated
Health
11%
11%
19%
25%
such studies may provide a general range for the extent of multiple
84% of households having two or more loans from any source.
borrowing overall, or precise estimates for specific areas, they do not
Surveyed households reported a median of four loans
answer the much larger question of how prevalent multiple
outstanding from all sources.
borrowing is overall.
distribution of total loans per household from all sources.
Marriage
Funeral
Other festival
4%
5%
2%
12%
0.1%
0.2%
0.5%
2%
1%
4%
4%
5%
Home improvement
10%
22%
13%
14%
Unemployment
0.0%
0.0%
0.1%
0.8%
Purchase land
1%
1%
1%
1%
Education
4%
4%
6%
5%
Purchase jewellery
1%
1%
2%
0.4%
Consumption
27%
32%
50%
25%
Buy livestock
3%
6%
6%
2%
Multiple borrowing is extremely common.
Figure 11 shows the
Figure 11: Distribution of Total Loans per Household
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.” Note: Totals may be greater than 100% as loans may
be used for more than one purpose
37.
24
These figures include both major models of Indian microfinance, SHGs and MFIs.
25
Multiple borrowing is driven mainly by multiple loans from informal sources.
When the source of loans is taken into consideration, the
When we look at the instances of multiple borrowing from the same
situation related to multiple borrowing does not appear nearly
source we find that the incidence of multiple borrowing from same
so dire. Much of the recent debate regarding multiple borrowing
source is most prominent among those who borrowed from the
has been over the extent to which microfinance clients,
informal sources. The data (Figure 12A) shows that 3% of all
particularly clients of MFIs, borrow from multiple microfinance
households have two or more loan outstanding from MFIs, while 70%
lenders at the same time.
of them have at least two loan outstanding from informal sources.
Figure 12B: Distribution of Total Number of Loan Outstanding for Households with at least One Loan Outstanding by Source
Figure 12A: Percentage of Households with Multiple Loans from a Given Source
80%
70
70%
60%
50%
40%
30%
20%
10
9
10%
3
0%
BANK
Median
Outstanding (RS.) 40000
MFI
SHG
11250
9175
INFORMAL
SOURCES
40000
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
When we look at the distribution of total loans outstanding for a given source (Figure 12B), we find that among those who borrow from
MFIs there is a slightly higher tendency to have multiple loans outstanding compared to those who borrow from SHGs: nearly 30% of
rural households who were active MFI borrowers had more than one loan outstanding at the time of the survey. In comparison, only
16% of active SHG borrowers had more than one loan outstanding at the time of survey.
Yet both of these figures pale in comparison to the tendency toward multiple borrowing exhibited by those who borrow from informal
sources: of households with at least one loan from an informal source outstanding, 85% had more than one informal loan outstanding.
26
27
Figure 13: Progress out of Poverty Score by Number of Loans Outstanding*
80
60
40
20
0
PROGRESS OUT OF POVERTY SCORE
100
Figure 12B: Distribution of Total Number of Loan Outstanding for Households with at least One Loan Outstanding by Source
0
1
2
3
4
5
6
7
8
9
10
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
*Middle lines within boxes correspond to median PPIs . Lower edges of boxes correspond to 25th percentile and upper edges of boxes
correspond to 75th percentile PPI value for respective bank type.
*Households with more than 10 loans outstanding excluded due to small sample size.
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Many cases of multiple borrowing appear to be driven by an inability to obtain sufficient credit from
a single source.
Whether multiple borrowing should be a cause for concern or
could not obtain sufficient credit from a single source. A large
not depends greatly on the reason why the borrower has
share of households with multiple loans outstanding
taken multiple loans. If a borrower takes more loans because
borrowed two or more loans in the same month for the same
she cannot make repayments on an existing loan, then multi-
purpose. Bundling loans together from different sources at
ple borrowing is indeed a cause for concern. If, on the other
the same time appears to indicate a credit constraint - no
hand, she borrows from multiple sources because she is
single source supplies what borrowers require, forcing them
unable to obtain sufficient credit from a single lender, then
to look elsewhere. This also suggests that a large portion of
the borrowing is much less distressing.
multiple borrowing is due to this constraint, rather than
people using a loan to pay off another.
While it is difficult to ascertain the true reasons for multiple
borrowing based on a relatively short survey, the timing and
The average total amount borrowed in these cases was Rs. 45,280.
purpose of loans suggests that many households borrowed
The main loan usages for such borrowings mirror the overall
from multiple sources for the latter reason – because they
usage of informal borrowings:
Table 12: Usage of Multiple Loans taken out in the Same Month
LOAN USAGE
Health
20%
Multiple borrowing appears to be more common
among the better off.
Buy agricultural inputs
18%
Home improvement/construction
18%
of households borrowing from both at least one MFI and at least
On average, households with more loans outstanding appear
Marriage
17%
one SHG was only 7%, indicating only a slight correlation in the
to be better off than those with fewer loans outstanding.
propensity to borrow from these two sources. Our analysis also
Figure 13 displays the PPI scores of households according to
Household consumption
17%
indicates that as compared to a household which does not have
the number of loans they have outstanding.
a loan outstanding from an SHG, a household with an SHG loan
exhibits a clear upward trend, indicating that a household’s
outstanding is approximately 6% more likely to have a loan
PPI score is strongly correlated with the number of loans it
outstanding with an MFI.
has outstanding.
In addition, the histograms above slightly oversimplify the state
of multiple borrowing in that they do not take into account
multiple borrowing across different loan sources. Yet the share
28
SHARE
The graph
Source: Centre for Micro Finance, IFMR Research. "Access to
Finance in Rural Andhra Pradesh 2010.”
29
In Depth Look at SHGs
Table 14: Year of Most Recent Loan among SHGs with No Loans Outstanding
LAST LOAN YEAR
Indebtedness to SHGs in rural Andhra Pradesh is quite
high but not as high as some previous estimates.
Principal loan amounts received by SHG members
increased significantly with membership years.
PERCENTAGE
2008
26%
2007
25%
2006
15%
Estimates of microfinance penetration 38 of the target population
The median principal loan amount received by members
(those households just below the poverty line) in Andhra
was Rs. 6,800, while the average came to Rs. 9,417. These
Pradesh have recently been as high as 224%, implying that each
amounts are comparable with industr y estimates of an
2005
8%
household below the poverty line belongs to at least two groups,
average loan size of Rs. 7,344 in Andhra Pradesh and an
2004 or earlier
9%
if not more (Rozas and Sinha, 2010). Andhra Pradesh has even
average of Rs. 5,544 for India. 40
been deemed the most saturated microfinance market in the world,
even surpassing Bangladesh.39 Our study found penetration to be
Loan amounts differed significantly with duration of group
significantly lower. Approximately 72% of rural households have
membership:
a member who belongs to a self help group.
Table 13: SHG Members’ Principal Outstanding by Duration of Membership
MEMBERSHIP YEARS
AVERAGE PRINCIPAL
MEDIAN PRINCIPAL
0-5 years
INR 7,965
INR 5,000
6-9 years
INR 10,855
INR 9,000
10+ years
INR 13,211
INR 10,000
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Regular savings, the defining aspect of self-help
groups, was overwhelmingly strong.
minutes and the average time spent traveling to and from
The primary component of SHGs is regular savings-from these
the bank to deposit or withdraw savings is 192 minutes. From
savings, groups generate a common pool through which they
these figures, we may infer that the member in charge of bank
can extend emergency loans and avail bank loans. Almost all
transactions (usually the president or treasurer) spends an
groups (99%) reported collecting regular savings: about 96%
average of 5 hours monthly, or nearly an entire working day,
collect Rs. 50 in savings per individual per month, while 4% of
on SHG business.
meetings is 20 minutes. The average time spent traveling to
groups save weekly at an average of Rs. 17 per week (Rs. 66
Reports of dropouts and defaults were limited.
monthly).
Nearly 74% of groups had no dropout members. The mean age
Regular group meetings were common, despite
the fact that many groups had not received a
follow-up loan.
of groups with no dropouts was 4.4 years, while the age of
An estimated 87% of groups meet monthly while 7% meet
members moving to new locations. A large number (88%) of
The average age of groups was 5.2 years, while average membership was 4.8 years. Slightly more than a third (37%) of groups had
weekly. Only 2% of members reported that their groups no
groups have had no member defaults. Only 2% of groups have
been formed in the last 2 years, while 32% of groups were older than 8 years.
longer meet. The average time spent per meeting is 80
seen a member default and drop out of the group.
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
The majority of SHG members had an outstanding loan at the time of survey.
those with one or more dropouts was 7.9 years. The top
reasons for dropping out were repayment problems and
Table 15: Stated Reasons for Leaving SHG among Drop-outs
REASON
PERCENTAGE QUOTED
Of all SHG members, 72% had an outstanding loan, and only 17%
Of groups that have received at least one bank loan, 89%
of members belonged to groups that had never received a bank
currently have a group loan outstanding. Within these groups,
Repayment Problem
34%
loan. Of these groups, 35% were formed in 2007 or earlier,
96% of members had individual loans outstanding. For those
Moved
32%
implying that some groups faced a slight delay in receiving their
groups that did not have loans outstanding, just over half of
first loan, if in fact, these groups had been formed primarily to
the previous loans were repaid during the prior two years.
Old Age
23%
access credit. Generally, groups save for 6 months to 1 year and
Only 10% of these groups had not been issued a new bank
Group Conflict
undergo rating by a bank before they are offered a bank loan.
loan in the past five years, as shown in Table 14.
9%
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
30
38.
Rozas and Sinha (2010) estimated microfinance penetration in Andhra Pradesh to be 17.2% as opposed to 16.4% in Bangladesh. These numbers include both SHG and MFI membership.
39.
Estimates based on state-wise SHG average savings and loan amounts, taken from the Microfinance India State of the Sector Report 2009.
31
Multiple SHG/MFI memberships by individual
SHG members seem to be driven by credit need.
six percent of all SHG members reported having no multiple
no idea of whether multiple borrowing was taking place.
As we saw in the multiple borrowing section, only 9% of
households had two or more SHG loans.
Looking specifically at multiple memberships by individual
Capture by elites was not evident, either in terms of leadership or household profile.
borrowers in their groups, while another 18% claimed to have
Although groups were overwhelmingly
government-formed, most members did not
receive SGSY subsidies.
The average principal amounts for loans taken by group
remained largely identical across occupational profile and
leaders was only slightly higher than the principal of
caste/religious affiliation (Scheduled Caste, Scheduled
member loans, at Rs. 9804 versus Rs. 9371.
Tribe
and
Muslim
households).
Notably,
there
was
considerable variance for households in the Other
In addition, average and median loan amounts borrowed
category. 42
members, we found 13% of SHG members and 67% of MFI
members belonged to at least one SHG and one MFI
95% of SHG groups were government-formed-we can assume that
simultaneously. Twenty-three percent of these individuals had
they were formed under the DWCRA or Velugu programs. Of these
no outstanding SHG loans, and half of this group had never
groups, only 2% received SGSY subsidies. The average individual
received a loan from their SHGs at the time of survey. Dual
subsidy received amounted to Rs. 12,739. Interestingly, only 7% of
membership, therefore, may be driven by the need for more
rural members reported that politicians had approached their
immediate loan sanctions, which MFIs often provide. On the
groups to ask for political support.
other hand, continued membership in SHGs may be preferred
as a means of saving (which MFIs are not permitted to provide)
and as a vehicle through which to receive flexible, emergency
Group credit was overwhelmingly extended by
public sector banks.
loans from fellow group members. Only 3% of SHG members
belonged to more than one SHG.
Over 50% of group loans were issued by Public Sector Banks,
followed by Regional Rural Banks at 28%, as illustrated in Figure
Group members were asked to estimate the extent of multiple
14. These numbers align with industry calculations of 2009
memberships within their groups to establish whether public
national bank linkages which estimate that commercial banks
perception reflected the actual rate of dual membership. Sixty
issued 55% of group credit, while RRBs issued 27%.
Figure 14: Break up of Lending to SHGs
Table 16: Borrowing Rate and Principal Outstanding of SHG Members Broken Down by Various Categories
SHG LOANS
HOUSEHOLD PROFILE
PERCENTAGE
WITH OUTSTANDING LOAN
AVERAGE PRINCIPAL
MEDIAN PRINCIPAL
Landless Laborer
52%
INR 11,029
INR 9,500
Commercial
51%
INR 13,014
INR 10,000
Farmer - Marginal
56%
INR 12,078
INR 8,800
Farmer - Small
59%
INR 11,182
INR 8,800
Farmer - Large
54%
INR 10,920
INR 8,700
Other
47%
INR 12,677
INR 6,733
Scheduled Caste
58%
INR 11,462
INR 9,750
Scheduled Tribe
55%
INR 11,825
INR 9,000
Muslim
58%
INR 11,744
INR 8,575
41
4%
10%
MFI Borrowing
Borrowing from MFIs was much lower than anticipated for rural Andhra Pradesh.
Only 12% of rural households belonged to a joint liability group formed by a private microfinance institution, and 95% of joint liability group members
52%
had microfinance loans outstanding at the time of interview.
The average years of membership in a MFI was surprisingly low.
DON’T KNOW
The average duration of membership in joint liability groups was only 1.6 years and nearly 64% of members had been in their groups
for one year or less (as shown in Table 17 below). This could be due to the inability of households that borrow from MFIs to repay loans
GOVERNMENT PROGRAM
28%
OTHER SOURCE
RRB
consistently over a longer period of time, compared to SHGs, where members borrow only according to credit need.
Alternatively, this data could also reflect the continued rapid expansion of MFIs in the state.
PUBLIC SECTOR BANK
5%
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
32
40.
See Microfinance India State of the Sector Report, 2009.
41.
This could be explained by the fact that many households in the “Other” category were retired and, thus, probably had a lower credit requirement.
33
Figure 15: Incidence of MFI Borrowing by District
1
27%
2
11%
3
12%
4
4%
5
4%
6
3%
7
1%
8
1%
9
0.2%
10
1%
15%
37%
10%
0
5%
%
0%
YEARS OF MEMBERSHIP WITH MFIS
20%
Table 17: Distribution of Years of Membership in MFI
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Loan sizes, unsurprisingly, increased with membership more rapidly in MFIs than in SHGs.
NIZAMBAD
VISHAKPATNAM
MEDAK
CUDAPAH
PRAKASAM
VIZIANGARM
MAHBUNAGAR
NALGONDA
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
MFI clients received an average of just under Rs. 10,000 during their first year but their average loan size gradually increased to just
over Rs. 13,000 after five years of membership, half the time it would take to receive a comparable amount in an SHG.
Average loan sizes in rural Andhra Pradesh were significantly higher than the national average outstanding amount of Rs. 5,200.
Table 18: : Average and Median Principal Outstanding by Age of MFI Group
MEMBERSHIP YEARS
AVERAGE PRINCIPAL
MEDIAN PRINCIPAL
0-1 years
INR 9,541
INR 10,000
1-2 years
INR 10,361
INR 10,000
2-3 years
INR 10,511
INR 10,000
3-4 years
INR 11,711
INR 10,000
Other Financial Products
Chit Funds
Membership in chit funds remained limited to a
small portion of the population.
Our data shows that only 8% of households reported having
membership in a chit fund.
4-5 years
INR 12,787
INR 12,000
5 years
INR 13,083
INR 10,000
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Only 5% of groups were required to provide documentation in
order to join their chit group-we can assume that the remaining
groups are unregistered.
Initial payments varied widely according to
household profile.
The average initial payment was Rs. 2,363. This rose to Rs. 6,653
for registered groups. Initial payments varied from as little as
Rs. 50 to a maximum of Rs. 32,000.
The mean chit pool (the average total amount which was
auctioned at regular meetings) came to Rs. 53,553. Broken
down by household profile, the averages varied considerably:
Borrowings were greatest in districts close to Hyderabad.
Nalgonda and Mahbubnagar, two districts bordering Hyderabad, the capital of Andhra Pradesh, led in MFI memberships. Prakasam,
which borders the saturated Guntur district, followed closely behind. Unsurprisingly, Vishakapatnam and Vizianagarm districts, both
with large populations of Scheduled Tribe and Scheduled Caste populations, had the lowest outreach.
42.
34
Microfinance India State of the Sector Report 2009
35
Figure 16: Average Chit Pool Size by Occupation of Member
80,000
Other Insurance Products
Many households have life insurance but few have any other insurance product.
60,000
Nearly half (43.8%) of rural households have life insurance but, not including the Arogyasri health insurance scheme, few have any other
40,000
form of insurance.
Table 19: Take up of Various Insurance Products
20,0000
20,0000
INSURANCE PRODUCT
LANDLESS LABOURER
COMMERCIAL
FARMER (MARGINAL)
FARMER (SMALL)
OTHER
FARMER (LARGE)
SHARE OF HOUSEHOLDS WITH PRODUCT
LifeLife
44%
Health (not including Arogyasri)
2%
Crop or weather
0.5%
Accident
0.4%
Cattle
0.3%
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Conclusion
Remittances
The results contained in this report reveal that the actual levels of
relatively low and, for most households, MFI debt is a relatively
financial inclusion of rural Andhra Pradesh households are far
small share of total debt.
different from what we previously believed. A much greater share
A significant portion of non-BPL households
have Arogyasri cards.
of rural households have access to a formal savings account than
The results from this report illustrate that recent government
did only ten years ago, though many of these accounts are not
initiatives as well as the expansion of the microfinance sector have
Only 3.68% of rural households receive money from a
actively used for savings. Similarly, a much larger proportion of
had an enormous impact on financial inclusion of rural households
household member living outside the household. Households
Despite the fact that only BPL households are eligible for the
households are indebted, many of them from multiple sources,
in recent years.
which received remittances reported that bank transfers and
Arogyasri, a small but significant portion of rural households
than were ten years ago. Despite the concern about indebtedness
changing landscape of financial inclusion in other states across the
cash were used as methods of delivering funds more frequently
who do not have BPL ration cards (3.0%) have the Arogyasri
to MFIs, the share of households with a loan from an MFI remains
country.
than cheques or postal money orders.
card.
Arogyasri Health Insurance Scheme
Many households received treatment under
Arogyasri but a significant portion were forced
to pay out of pocket expenses.
Very few households receive remittances.
In 2007, the government of Andhra Pradesh launched a
More effort is required to understand the
comprehensive health insurance scheme for poor households –
the Rajiv Arogyasri Health Insurance Scheme. The scheme
36
A significant percentage (4.7%) of rural households has
provides BPL card holders with up to Rs. 1,50,000 (1.5 lakh) in
received medical treatment under the Arogyasri program since
coverage for major health procedures such as surgeries or
the launch of the program. Yet, despite the fact that the
cancer treatments. Beneficiaries may receive treatment free of
program is intended to be free for patients, a large portion
charge (at any hospital, public or private, participating in the
(36%) of patients who had received treatment under Arogyasri
scheme).
reported having to pay out-of-pocket fees.
37
References
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state of Andhra Pradesh and for matters connected therewith or incidental thereto.
APMAS. (2006) "Voice of the People on the Lending Practices of Microfinance Institutions IN Krishna District of Andhra Pradesh.” Mimeo.
Armendáriz, Beatriz and Jonathan Morduch. (2005) The Economics of Microfinance. The MIT Press
Basu, Priya and Pradeep Srivastava. (2005) “Scaling up Microfinance for India’s Rural Poor” World Bank Policy Research Working Paper 3646, June 2005.
Beck, Thorsten and Asli Demirgüç-Kunt. (2008) “Access to Finance: An Unfinished Agenda” World Bank Economic Review 2008 22(3):383-396;
doi:10.1093/wber/lhn02.
Stage
Total Number Selected
Chaudhuri, Siladitya and Niveditya Gupta. (2009). “Levels of Living and Poverty Patterns: A District-wise Analysis for India” EPW Vol XLIV, No 9.
District
8
Collins, Daryl, Jonathan Morduch, Stuart Rutherford, and Orlanda Ruthven. (2009) Portfolios of the Poor: How the World's Poor Live on $2 a Day. Princeton
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Committee on Financial Sector Reforms. (2008) A Hundred Small Steps: Report of the Committee on Financial Sector Reforms. Available at
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Deininger, Klaus and Yanyan Liu. (2009) “Economic and Social Impacts of Self-Help Groups in India.” Policy Research Working Paper 4884, World Bank.
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Ghate, Prabhu. (2006) Microfinance India: State of the Sector Report 2006. Sage Publications, New Delhi.
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Krishnaswamy, Karuna. (2007) “Competition and Multiple Borrowing in the Indian Microfinance Sector.” CMF Working Paper Series, Chennai: IFMR Centre for
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1920 households were randomly selected for surveying using a three stage sampling design in which first 8 districts, then 64 villages,
and then 1920 households were randomly selected. Details of the method of selection at each stage are provided below.
Table 20: Overview of Sampling Strategy
Selection Strategy
Districts were selected using stratified random sampling.
The 22 districts of Andhra Pradesh containing at least one rural area
(one district in the state, Hyderabad, contains only urban areas)
were divided into four strata based on the following two variables:
• The estimated share of rural households falling under the
official poverty line obtained from Chaudhuri and Gupta (2009)
• The estimated share of adult women belonging to a microfinance
group based on data collected from MFIs by the Centre for Microfinance.
Within each stratum, two districts were selected with
simple random sampling without replacement.
Village
64
Within each district, villages were selected using stratified random sampling.
In all districts except for Ranga Reddy, villages were divided into four
strata based on the distance to the nearest bank branch according to
the village directory data of the 2001 census. In Ranga Reddy district,
where a bank branch is present in all villages, villages were divided
into four strata based on the distance to the nearest town.
Within each stratum, two villages were selected with
probability proportional to size (based on number of households)
without replacement.
Households
1920
Within each village, 30 households were selected using simple random
sampling without replacement. A village mapping exercise was
conducted to enumerate all households living in the village.
In cases where the survey team was unable to locate a sample house
hold a replacement household was randomly selected from the list.
(Replacement households may be identified by use of the
variable “replacement” in the dataset.)
In the course of surveying, the surveying team encountered
Rigorous quality checks were undertaken throughout the
significant difficult in conducting surveys in one of the districts
survey, both in the design of the field team structure and
selected, Krishna district. In the weeks before the surveyors arrived
through supervision by CMF staff. Prior to surveying, staff
NABARD. (2008) “Annual Report, 2007-2008.”
there had been a spate of robberies perpetrated by thieves
received intensive training, both in a classroom setting and
NABARD. (2009) “Annual Report, 2008-2009.”
fraudulently posing as surveyors. After several encounters with
in the field, to ensure accurate data collection. In addition
Ramji, Minakshi. 2009. “Financial Inclusion in Gulbarga: Finding Usage in Access.” CMF Working Paper Series No.26. Chennai: IFMR Centre for Micro Finance.
angry villagers, the survey team decided to abandon all attempts to
to thorough scrutiny of each survey by all levels of the
survey in Krishna district and instead randomly selected another
team (surveyor, supervisors, and monitors), supervisors
Reserve Bank of India, “List of Deposit Taking Companies Cat ‘A’” Available at rbidocs.rbi.org.in/rdocs/Publications/DOCs/59260.xls
district from the same district strata to conduct surveys in.
and
Rozas, Daniel. (2009) “Is there a Microfinance Bubble in South India?” Microfinance Focus, September 2009. Available at
http://www.microfinancefocus.com/2009/10/10/is-there-a-microfinance-bubble-in-south-india/
Rozas, Daniel and Sanjay Sinha. (2010) “Avoiding a Microfinance Bubble in India: Is Self-Regulation the Answer?” Microfinance Focus, January 2010. Available at
http://www.microfinancefocus.com/news/2010/01/10/avoiding-a-microfinance-bubble-in-india-is-self-regulation-the-answer/
Srinivasan, N. (2009) Microfinance India: State of the Sector Report 2009. Sage Publications, New Delhi.
Sriram, MS. (2005) “Expanding Finacncial Services Access for the Poor: The Transformation of SPANDANA.” Indian Institute of Management, Ahmedabad.
Available at http://www.iimahd.ernet.in/~mssriram/spandana-wp.pdf
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Appendix A – Sampling Methodology
Sriram, MS. (2010) “Commercialisation of Microfinance in India: A Discussion on the Emperor’s Apparel.” Working Paper No 2010-03-04, Indian Institute of
Management, Ahmedabad.
Thyagarajan, S., and Jayaram Venkatesan. 2009. “Cost–Benefit and Usage Behaviour Analysis of No Frills Accounts: A Study Report on Cuddalore District.” Pune
and Chennai: College of Agricultural Banking and IFMR Centre for Micro Finance.
monitors
accompanied
surveyors
or
conducted
backchecks on at least 50 % of surveys collected daily.
Due to the omission of surveying in Krishna district, the data
Further surprise backchecks and accompaniments were
collected as a result of the survey is not representative of the rural
undertaken by both the CMF Research Associate and
areas of the entire state but rather the rural areas of the entire state
Regional Field Coordinator throughout the length of the
excluding Krishna district. Often in this report, the authors use the
field work. In case of any doubts, either the Research
phrase “rural households in Andhra Pradesh” in place of the more
Associate or Project Assistant conducted re-visits before
accurate but less concise “rural households in Andhra Pradesh
completing data collection in a district. The rate of
excluding Krishna district.” Readers should note that all estimates
non-response was extremely low, and in such cases,
presented here in this report are strictly valid for rural households
replacement households were randomly selected.
in Andhra Pradesh excluding Krishna.
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Appendix B - How to Access
and Use the Data
The questionnaire and all data used in this report are available for
download at: http://ifmr.ac.in/cmf/resources.html
Rules for how occupational categories were assigned
• If agriculture on land owned by the household was one of the
household’s two main sources of income the household was
classified as a farming household.
• Farming households owning less than one acre of land were
classified as marginal farmers. Farming households owning
Appendix C – Determination
of Occupational Categories
Households were assigned to one of five occupational categories
and the residual category “other” based on the rules described
below.
Please note that the definitions used to determine
occupational categories, especially the distinction between
marginal, small, and large farmers, varies by context and that the
definitions used here may not match those used by other
researchers or government agencies. (In particular, the definitions
used here do not match the definitions used to determine
eligibility for the recent loan waiver.)
Appendix D – Five Most Frequently Cited Reasons for Not
Availing a Loan by Lender Type
between one and four acres of land were classified as small
Table 21: Top 5 Reasons for Not Availing a Loan from a Formal Source
REASON
SHARE
farmers. Farming households owning more than four acres of
land were classified as large farmers.
• Non-farming households which relied on salaried employment
Have no idea about these sources or their products
19%
Lack of land
13%
Already had or could get loan from another source
12%
Lack of guarantor
11%
Application rejected
11%
or an own business as one of the household’s two main sources
of income were classified as commercial.
• Non-farming, non-commercial households which relied on
wage labour (either via agriculture, as a coolie, or in NREGA) as
one of the household’s two main sources of income were
classified as landless labourers.
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
• All households not falling into any of the categories above were
classified as other. This includes households that were retired or
reported remittances or transfers as their main source of income.
Table 22: Top 5 Reasons for Not Availing a Loan from a MFI
REASON
Figure 17: Progress out of Poverty Scores by Occupational Category
SHARE
Irregular income flows or repayment capacity
60%
No MFIs are close enough to join
24%
Have no idea about MFIs or how they function
19%
Can’t save regularly
12%
Don’t know any MFIs or members
6%
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Table 23: Top 5 Reasons for Not Availing a Loan from a SHG
REASON
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
SHARE
Irregular income flows or repayment capacity
29%
Can’t save regularly
10%
Tried but was unable to join
9%
Don’t want group conflict
9%
Have no idea about SHGs or how they function
5%
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Table 24: Top 5 Reasons for Not Availing a Loan from an Informal Source
REASON
SHARE
Irregular Income Flows/ Repayment capacity
45%
No need
15%
Already had or could get a loan with other source
13%
Interest rates are too high
7%
After cultivation
7%
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
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Table 25: Top 5 Reasons for Not Availing a Loan from a Chit Fund
REASON
SHARE
Irregular income or repayment capacity
71%
Can’t save regularly
16%
No chit funds close enough to join
14%
No idea about what chit funds are or how they work
9%
Not trustworthy
3%
Appendix F - Borrowing by Household Type and Source
The graphs below display indebtedness and loan size (for those with at least one loan) by household type and source (where the “Formal
represents Banks and JLG represents MFI”). Error bars indicate confidence intervals at 95 % level.
Figure 18: Percent of Landless Labourer Households Indebted by Source
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Appendix E - Progress out of Poverty index
PPI scores were calculated using the India Poverty Scorecard designed by Mark Schreiner. The Poverty Scorecard is a proxy survey which
estimates the likelihood of a household’s being under a given poverty line (in our case, we use India’s National Poverty Line). The scorecard
was created using data from Round 62 data of the National Sample Survey Organization’s (NSSO) India Socio-Economic Survey. The table
below lists the likelihood of being under the poverty line for the specified PPI ranking.
Table 26: PPI Ranges and Corresponding Likelihood of Falling below Poverty Line
PPI
LIKELIHOOD OF
BEING BELOW NATIONAL POVERTY LINE
0-4
77%
5-9
59%
10-14
51%
15-19
36%
20-24
29%
25-29
21%
30-34
19%
35-39
15%
40-44
10%
45-49
5%
50-54
5%
55-59
6%
60-64
6%
65-69
4%
70-74
2%
75-79
2%
80-84
1%
85-59
1%
90-94
0%
95-100
0%
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Figure 19: Mean Outstanding by Source for Landless Labourer Households with at Least One Loan from Source
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Source: www.progressoutofpoverty.org
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43
Figure 20: Median Outstanding by Source for Landless Labourer Households with at Least One Loan from Source (un-weighted)
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Figure 22: Mean Outstanding by Source for Marginal Farmer Households with at Least One Loan from Source
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Figure 23: Median Outstanding by Source for Marginal Farmer Households with at Least One Loan from Source (un-weighted)
Figure 21: Percent of Marginal Farmer Households Indebted by Source
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
44
45
46
Figure 24: Share of Small Farmer Households Indebted by Source
Figure 26: Median Outstanding by Source for Small Farmer Households with at Least One Loan from Source (un-weighted)
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Figure 25: Mean Outstanding by Source for Small Farmer Households with at Least One Loan from Source
Figure 27: Share of Large Farmer Households Indebted by Source
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
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48
Figure 28: Mean Outstanding by Source for Large Farmer Households with at Least One Loan from Source
Figure 30: Share of Commercial Households Indebted by Source
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Figure 29: Median Outstanding by Source for Large Farmer Households with at Least One Loan from Source (un-weighted)
Figure 31: Mean Outstanding by Source for Commercial Households with at Least One Loan from Source
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
49
50
Figure 32: Median Outstanding by Source for Commercial Households with at Least One Loan from Source (un-weighted)
Figure 34: Mean Outstanding by Source for “Other” Households with at Least One Loan from Source
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Figure 33: Share of “Other” Households Indebted by Source
Figure 35: Median Outstanding by Source for “Other” Households with at Least One Loan from Source (un-weighted)
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
Source: Centre for Micro Finance, IFMR Research. "Access to Finance in Rural Andhra Pradesh 2010.”
51