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CONSTRAINT TO TECHNOLOGY ADOPTION- ROLE OF CREDIT...
Transcript of CONSTRAINT TO TECHNOLOGY ADOPTION- ROLE OF CREDIT...
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CONSTRAINT TO TECHNOLOGY ADOPTION- ROLE OF
CREDIT AND FINANCIAL INCLUSION
Report Submitted to
INTERNATIONAL CROPS RESEARCH INSTITUTE FOR THE SEMI-ARID TROPICS,
PATANCHERU, INDIA.
By
AMIT KUMAR
International Crops Research Institute for the Semi-Arid Tropics
Patancheru, 502 324
Andhra Pradesh, India
July 2012
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Declaration
I do hereby declare that the dissertation entitled upon” constraint to technology
adoption- role of credit and financial inclusion” is an original and independent
record of project work undertaken by me under the supervision of Dr. MCS
Bantilan, Director, MIP (Market, Institutions and Policies) and Dr. D Kumara
Charyulu, Scientist. MIP (Market, Institutions and Policies) at International
crops research institute for the semi arid tropics (ICRISAT), Patancheru, India,
during the period of my study as a part of masters in Agri-Business Economics.
Hyderabad By
Date: - 12/07/12 Amit Kumar
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Abstract
This paper makes a successful attempt to check the impact of credit on technology adoption.
Presently, Indian Agriculture is facing an economic condition of constant returns to scale but
its dependency is at its peak, thanks to the ever-rising population of this country. Use of
modern technology can help in boosting the growth and production but technology has a cost
attach to it, which most of the Indian farmers are unable to bear. Timely and efficient supply
of credit to all the cultivators especially the poorest of them is the only feasible solution we
have but this could only be possible if the rate of financial inclusion is increased. Financial
inclusion refers to providing banking solutions to the poorest of poor’s. Beside these, the
present study assessed the state of financial inclusion in Maharashtra as well as in ICRISAT
VLS villages through secondary as well as primary information. Finally, this study has
brought out the various real time problems faced by the farmers of Kinkheda and kanzara
villages and have provided with some solutions for immediate relief.
Title : CONSTRAINT TO TECHNOLOGY ADOPTION- ROLE OF CREDIT
AND FINANCIAL INCLUSION
Name : AMIT KUMAR
Institute : GOKHALE INSTITUTE OF POLITICS AND ECONOMICS, PUNE, INDIA
Supervisors : Dr. MCS BANTILAN and Dr. D KUMARA CHARYULU
Submitted : 12th
July 2012
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ACKNOWLEDGEMENTS
I am highly grateful to Dr. MCS Bantilan, Director, Market Institutions and Policy (MIP),
ICRISAT for kindly giving me this opportunity to do my project as a part of my academic
schedule. Her constant supervision and timely advice will always be remembered with a deep
sense of gratitude.
I express my heartfelt gratitude and indebtedness to Dr. Kumara Charyulu, Scientist, Market
Institutions and policies (MIP), ICRISAT for his constant encouragement to all. He regulates
healthy research environment and interactivity. I am grateful to the learning system unit
(LSU) at ICRISAT, for providing me an opportunity to join an institute of international repute
and excellence in research.
I wish to express my thankfulness to officers of Bank of Maharashtra for providing me with
timely and acute data on financial inclusion. I pay my gratitude to Mr. Chopde (Senior
Scientific officer), who accompanied me all the way throughout my work and for his constant
help and support.
My special thanks to Mr. Ajay (Assistant field supervisor, Kanzara) and Mr. Sachin (Assistant
field supervisor, Kinkheda) for their help and support during my field visit. I would also like
to thank Mr. Anand, Mr. Likhitihkar and all the scientists at ICRISAT for their appreciable
help and support.
I would like to thank all my fellow interns for their coordination and for sharing knowledge
with me during my internship.
I also take this opportunity to thank my parents, god and everyone who had been a great help
and support throughout my dissertation.
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Table of Contents Introduction ................................................................................................................................. 6 Recent scenario in rural indebtedness and agricultural credit ................................ 7 RBI initiatives for financial inclusion ................................................................................. 9 Present Scenario ....................................................................................................................... 10 Macro level Picture- A pan India study............................................................................. 11 Literature Review .................................................................................................................... 14 Research objective ................................................................................................................... 15 Methodology .............................................................................................................................. 15 State level study- Maharashtra............................................................................................ 16 Results and Discussions ......................................................................................................... 17 Impact of Credit on technology adoption ........................................................................ 19 Regression Analysis ................................................................................................................ 22 Constraints ................................................................................................................................. 24 Special Recommendation ...................................................................................................... 29 Replace Insurance with future market ............................................................................ 29 Working of the co-operatives .............................................................................................. 30 Conclusion................................................................................................................................... 30
Bibliography ..................................................................................................................... 32
Annexure ........................................................................................................................... 33
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Introduction
Technology as defined is the application of scientific knowledge for practical purposes. The
first use of technology way backs to the period when man converted the natural resources into
simple tools. Since then, technology has seen a many fold change and development. Nearly
70 percent of India’s population (National Sample Survey Organization, 2005) is dependent
upon Agriculture sector. Agricultural technology has been a primary factor contributing to the
increase in farm productivity over the past half-century but we are still far behind our
potential. Stagnation and a negative return to scale are the key features of present Agriculture.
One important reason for the present pitiful condition is the non-acceptability of technology
and lack of credit for the farmers. Rural credit has a very important function of minimizing
the domain of in-equality. Credit is the soul of any business or enterprise. Timely availability
of credit can uplift the condition and take the growth to the next level. Meeting the credit
demand and increasing the acceptability of the new technologies can uplift the Indian
Agriculture as it has done in the past during the Green Revolution.
Agriculture in India has always been dependent on monsoons and thus it’s a risky activity.
The credit provision to agriculture sector started when the government started extending
credit in the times of drought. According to the studies done in 1936 and 1937, the
moneylenders disbursed the entire credit to agriculture and the cooperatives and other
institutional sources contributed very little. Nationalization of major commercial banks took
place in 1969, which acted as a step to increase the credit to agriculture from the commercial
banks. Later, Agriculture became a ‘priority sector’ and it became mandatory for banks to
extend credit to it. It was also felt that there is a need for separate banking in the agriculture
sector and thus Regional Rural Banks were set up in 1977 and National Bank for Agriculture
and Rural Development (NABARD) was set up in 1982. The scenario improved after this and
share of institutional credit increased from 7% in 1951 to 66% in 1991.
The main objective of this research is to study the role of credit and financial inclusion in
enhancing the acceptability of technology in Agriculture. Secondarily the study would like to
know the Constraints in the availability of finance and rural credit in my selected sample.
With time the availability of finance is improving, Public and Private player are working
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together for this purpose but still there are many in the societies, who are deprived of this.
Women’s especially faces a constraint while making use of the formal loans. In rural India,
Women’s are responsible for enhancing the standard of living of the family. They are an
important part of the society and optimal growth of SAT Agriculture is greatly dependent on
their growth. With all these, I would like to give an overview and work toward providing a
credit plus solution for improving the availability of credit for the farmers and enhancing the
agriculture in Semi Arid Tropics.
Recent scenario in rural indebtedness and agricultural credit
Despite the increase in the number of rural branches of commercial banks, rural cooperative
banks and regional rural banks, the problem of rural indebtedness is still very severe and it
can be confirmed by the alarming increase in the number of farmer suicides in India.
According to the Report of ‘Expert group on agricultural indebtedness, 2007’, the share of
non-institutional sources in debt of cultivator households has increased from 30.6% in 1991 to
36.8% in 2002(Expert group on agriculture indebtness, 2007). One key reason for this fate is
the large dependency of farmers on monsoon for agriculture production. Beside this, most of
the farmers depend on non-institutional sources of credit where the cost of borrowing is very
high. The farmers don’t prefer to borrow from the formal sources because the banking
services are poor and there’s always a delay in disbursement of loan i.e. around 33 weeks is
required for loan approval in commercial banks. The commercial banks are also reluctant to
lend to small and marginal farmers because of their low credit worthiness and high risk of
default.
A recent policy initiative of doubling of agricultural credit policy (DACP) was introduced in
2004-05 in which it targeted to double the agricultural credit in 3 years. According to the
report of the ‘Task force on credit related issues of farmers’ published by NABARD in 2010,
the target had been achieved in 2 years but the credit allocations were not balanced in terms of
regions and size of farmers (Task force on credit related issues of farmers, 2010). Small and
marginal farmers were neglected and southern states got most of the share. The report also
suggested that most of the credit disbursement was in the month of March. Ideally, it should
have been before beginning of ‘rabi’ and ‘kharif’ seasons. Thus we can doubt if the
agricultural credit is being used for the correct purposes.
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Another policy initiative was the introduction of Kisan Credit Card (KCC) in 1998-99. This
was supposed to increase the flexibility of credit for the farmers. According to the report,
which has reviewed the working of KCC and was published by NABARD in 2010, the KCC
hasn’t been working in the desired direction because 19% of the sample of farmers taken
weren’t aware of the benefits and utilities of the card (Working of KCC, 2010). 68% of the
farmers thought it to be a ‘one-shot operation’ and didn’t know that it can be used for a
number of withdrawals within the credit limit, and 48% of the farmers said that the credit
received under KCC was inadequate. Thus, it can be concluded from the review that KCC
hasn’t been operating in accordance with the purpose for which it was created.
In 1992, NABARD introduced the SHG-bank linkage project under the microfinance
institutions. But the distribution of SHGs has been skewed across the states and more than
50% of them have been concentrated in the southern states. According to a report published
by NABARD in 2010 on the evaluation of SHGs, there has been a problem of insufficient
backward linkages in the micro-enterprises (MEs), which are very important for the running
of the MEs (Evaluation of self help gropus, 2010). The Agricultural Debt Waiver and Debt
Relief Scheme (ADWDRS) was launched in 2008 in which the government promised that
agricultural loans, which were given to small farmers after 1st of April 1997 and were
outstanding on March 31 2007, should be written-off. According to the report of the task
force by NABARD, a number of farmers haven’t benefited from the scheme because their
agricultural loans were counted as ‘other’ loans and thus weren’t written-off. The farmers
who had taken loans prior to 1 April 1997 didn’t benefit and felt cheated and are also not
eligible to take fresh loans. Another reason for low benefits of the scheme is the fact that a
majority of small defaulters depend on non-institutional sources of credit and such loans
weren’t included in the scheme.
Thus the conclusion that can be drawn from reviewing the policy initiatives taken by the
government is that a lot needs to be done for achieving equitable credit disbursement to the
agricultural sector in India. Also, strong emphasis should be laid on mitigating the risk
involved in agriculture and reducing the dependence of small farmers on non-institutional
sources of credit.
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RBI initiatives for financial inclusion
Providing banking facility to the poorest of poor is the latest goal of RBI. The Central bank of
India in collaboration with NABARD has brought in few initiatives to improve the inclusion.
The following are few of them:
No-Frill accounts: In November 2005, RBI asked banks to offer no-frills savings
account, which enables excluded people to open a savings account. Normally, the
savings account requires people to maintain a minimum balance but No-frills account
requires no balance. The number of no-frills account has increased mainly in public
sector banks from about 0.4 million to 6 million between March 2006 and March
2007. The number of No-frill accounts in private sector banks also increased from 0.2
million to 1 million in the same period.(Agarwal, 2008)
Usage of Regional language: The Banks were required to provide all the material
related to opening accounts, disclosures etc. in the regional languages.
Simple KYC Norms: In order to ensure that persons belonging to low income group
both in urban and rural areas do not face difficulty in opening the bank accounts due to
the procedural hassles, the Know Your Customer procedure for opening accounts has
been simplified for those persons who intend to keep balances not exceeding rupees
fifty thousand in a year.
Easier Credit facilities: Banks have been asked to consider introducing General
purpose Credit Card (GCC) facility up to Rs. 25,000/- at their rural and semi urban
branches.
Other rural intermediaries: Banks were permitted in January 2006, to use other rural
organizations like Non- governmental organizations, self-help groups, micro-finance
institutions etc. for furthering the cause of financial inclusion.
Using Information Technology: A few Pilot projects have been initiated to test how
technology can be used to increase financial inclusion. UshaThorat in her speech (June
19, 2007) pointed to a few measures:-
1. Smart cards for opening bank accounts with biometric identification.
2. Link to mobile or hand held connectivity devices ensure that the transactions
are recorded in the bank's books on real time basis.
3. The use of IT also enables banks to handle the enormous increase in the
volume of transactions for millions of households.
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Financial Education: RBI has taken number of measures to increase financial literacy
in the country. It has set up a multilingual website in 13 languages explaining about
banking, money etc. It has started putting up comic strips to explain various difficult
subjects like importance of saving, RBI's functions etc.
Present Scenario
Despite all the efforts, the present scenario in the Indian economy is not good. Policies are
there but their efficient working is a big question mark. To provide the poorest of poor with
banking facility, first we need to reach them. Infrastructure bottlenecks are the biggest hurdle
in this path. The following are some key highlights of Indian economy-
51.4% of farmer households are financially excluded from both formal / informal
sources. (Agarwal, 2008)
Of the total farmer households, only 27% access formal sources of credit; one third of
this group also borrows from non-formal sources.(Agarwal, 2008)
Overall, 73% of farmer households have no access to formal sources of credit.
(Agarwal, 2008)
Exclusion is most acute in Central, Eastern and Northeastern regions - having a
concentration of 64% of all financially excluded farmer households in the country.
Marginal farmer households constitute 66% of total farm households. Only 45% of
these households are indebted to either formal or non-formal sources of
finance.(Agarwal, 2008)
About 20% of indebted marginal farmer households have access to formal sources of
credit.
Among non-cultivator households nearly 80% do not access credit from any source.
36% of ST Farmer households are indebted (SCs and Other Backward Classes - OBC
- 51%) mostly to informal sources.
Source:- (Agarwal, 2008)
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Macro level Picture- A pan India study
Limiting the domain of inequality is the magic of credit. When we talk of India, inequality in
distribution of wealth is the first picture we see. India has the maximum number of billionaire
in the world and on the other side; we have many people who die because of starvation. 66%
of total Indian farmers are small and marginal(National Sample Survey Organization, 2008),
who are generally poor and are dependent on credit for their agriculture practice. Given the
scenario, to talk about the financial inclusion or credit access, we need to talk about the
distribution of loan amount or credit facility in India. Below is the loan distribution pattern at
an all India level-
Figure 01: - An all India distribution of loan amount (2004-05)
Source: - (Distribution of loan amount, 2004-05)
Many government policies are there to boost the demand for medium and long-term loans as
these helps in enhancing the overall agriculture practice. Short-term loan only focuses on the
seasonal growth or productivity whereas medium term and long term loans focuses on overall
growth of the farming and farmers over the period of time. Here in our graph, we can clearly
see that most of the loans that are taken are short-term loans. Thus, there is a problem of
0
500000
1000000
1500000
2000000
2500000
3000000
Short term loan Medium term loan Long term loan
Amount(Rs)
Amount(Rs)
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distribution at the macro level. Again when we look at the loan utilization, the chart below
shows the discrimination.
Figure 02: - An all India credit use pattern
Source (Mohan, 2008)
Most of the loan or credit is used by metropolitan or large cities of India and rural people use
a small fraction. We should remember that around 70% of India’s population lives in rural
India. This discrimination shows that the loan utilization in rural India is very small. Credit is
supposed to bridge the gap of inequality but when credit is not utilized properly, this gap is
surely going to increase and in no time, it would be impossible to bridge the gap.
Indebtedness is another major characteristic of Indian farmers. In the chart produced by the
NSSO, we can clearly get a macro picture of indebtedness of farmers in India. State like
Andhra Pradesh, Gujarat, Maharashtra, Kerala, Tamil Nadu etc. are worst hit where more than
50% of its farmer’s population is indebted. At a pan India picture, 48% of the total farmers are
indebted. This is an alarming rate and we need to provide an immediate relief to people
belonging to these category.
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Source: (498, 2003)
Except the northeastern state, the stories of the other states are same. Indebtedness is a major
problem that is the result of failure of the monsoon. Loan waiver or debt Waiver scheme are
not the solutions for these problems. These schemes have a very short-term effect and they
generate negativity for those farmers who pay their debt regularly. Thus government needs to
focus on more realistic solutions which will help the farmers in the long run and help in
boosting the pay back capacity of farmers.
NSS Report no. 498: Indebtedness of Farmer Households, 2003
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3.1 Geographical distribution of total and indebted farmer households: Statement1
shows estimated number of rural households, farmer households, indebted farmer households
and percentage of farmer households indebted in each of the states. At all-India level, an
estimated 60.4% of rural households were farmer households and of them 48.6% were
reported to be indebted. The incidence of indebtedness was highest in Andhra Pradesh
(82.0%), followed by Tamil Nadu (74.5%), Punjab (65.4%), Kerala (64.4%), Karnataka
(61.6%) and Maharashtra (54.8%). Moreover, Haryana, Rajasthan, Gujarat, Madhya Pradesh
and West Bengal each had about 50 to 53% farmer households indebted. States with very low
proportion of indebted farmer households were Meghalaya, Arunachal Pradesh and
Uttaranchal. In each of these States less than 10% farmer households were indebted.
In absolute terms, out of an estimated 43.4 million indebted farmer households, 6.9
million belonged to Uttar Pradesh, 4.9 million to Andhra Pradesh, 3.6 million to Maharashtra,
3.5 million to West Bengal and 3.2 million to Madhya Pradesh. More than half of the
indebted farmer households belonged to th ese five States.
Statement 1: Estimated number of rural households, and total and indebted farmer
households in each State
State
estimated number
of rural
households (’00)
estimated number of
farmer households
(’00)
estimated number of
indebted farmer
households (’00)
percentage of
farmer households
indebted
(1) (2) (3) (4) (5)
Andhra Pradesh 142512 60339 49493 82.0
Arunachal Pradesh 15412 1227 72 5..9
Assam 41525 25040 4536 18.1
Bihar 116853 70804 23383 33.0
Chhattisgarh 36316 27598 11092 40.2
Gujarat 63015 37845 19644 51.9
Haryana 31474 19445 10330 53.1
Himachal Pradesh 11928 9061 3030 33.4
Jammu & Kashmir 10418 9432 3003 31.8
Jharkhand 36930 28238 5893 20.9
Karnataka 69908 40413 24897 61.6
Kerala 49942 21946 14126 64.4
Madhya Pradesh 93898 63206 32110 50.8
Maharashtra 118177 65817 36098 54.8
Manipur 2685 2146 533 24.8
Meghalaya 3401 2543 103 4.1
Mizoram 942 780 184 23.6
Nagaland 973 805 294 36.5
Orissa 66199 42341 20250 47.8
Punjab 29847 18442 12069 65.4
Rajasthan 70172 53080 27828 52.4
Sikkim 812 531 174 38.8
Tamil Nadu 110182 38880 28954 74.5
Tripura 5977 2333 1148 49.2
Uttar Pradesh 221499 171575 69199 40.3
Uttaranchal 11959 8962 644 7.2
West Bengal 121667 69226 34696 50.1
Group of UT’s 2325 732 372 50.8
All India 1478988 893504 434242 48.6
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Review of Literature
Credit is one of the most common topics of the present times. Whether it’s the newspaper,
textbooks or magazines, credit and its problems are the favorite topics of everyone. My basic
understanding of the topic can be credited to my formal course work at the masters
programmed in GIPE. Beside that, the following are some other sources, which helped me
getting a wider knowledge of the topic and finding my research objectives for the two months
at ICRISAT-
State of Indian Farmer- Surjit Singh &VidyaSagar (2004): -This book helped in
developing the basic insight upon the credit system of India. It talked about evolution
of credit institutions and delivery mechanism. Changes in government policies toward
agriculture credit and evolution of credit system in India. This book also talked on the
performance of Present Credit Delivery mechanism whereby they brought in the
recent performance of Commercial banks, RRB’s, etc. At the conclusion it shed some
light on topics like Crop Insurance, MSP reforms, and Agriculture Credit through
Micro-Finance.
Presidential Address by Shri. Y.S.P. Thorat- on ‘Rural Credit in India; Issues and
Concern: - This article by Mr. Thorat gave an insight on the real present situation in
India. All the major issues related to disbursement of credit were clearly mentioned in
this article. Some major problems mentioned by him were Inadequacy of credit,
Constraints on timely availability of credit, High interest rates, Neglect of small and
marginal farmers, Low credit-deposit ratios in several states, Continued presence of
informal markets.
Rural Credit in India (Microfinance and self help Groups) - An Overview of History
and Perspective May 2011 by Deva raja: - The objective of this study was to examine
the overview of rural credit in India and to finds a remarkable continuity in the
problems faced by the poor throughout this period. With controversial results, both
supporting and not the assumption that microfinance can promote income generating
activities, this paper attempts to demonstrate the role of microfinance in rural credit in
India. These include dependence on usurious moneylenders and the operation of a
deeply exploitative grid of interlocked, imperfect markets. This did increase bank
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profitability but at the cost of the poor and of backward regions. While the MFI model
of microfinance is unsustainable, the SHG-Bank Linkage approach can make a
positive impact on security and empowerment of the disadvantaged. Much more than
microfinance is needed to overcome the problems that have persisted over the last 100
years.
Research objectives
Based upon my readings of the literature, I felt that credit plays a very important role in
purchase and adoption of improved inputs. There was a clear picture that shows that when
credit is available a farmer has a better capacity to make use of new variety and technologies
and work toward enhancing his farm activities. One important thing, which I saw was that
there were many constraints in the path of optimal distribution of credit. Another key thing
which I found was that private players and self-help groups over the time has been working
toward enhancing the availability of credit and that women’s were discriminated by formal
sources for distribution of credit. But as I had a time constraint, I focused on two main
objectives-
Impact of credit on technology adoption.:- as my research has a primary focus on
technology, my first part of the research deals with Impact of credit on technology
adoption. Here technology is defined as new and high yielding variety of seeds.
Constraints in credit and financial inclusion: - when we talk about credit in
agriculture, no project can be complete without the inclusion of constraints. There are
many and I have tried to find some of them through my primary survey. These are the
real time constraints faced by the farmers.
Methodology
This research will be mainly based upon primary data collected from the selected villages of
Maharashtra. I plan to choose two ICRISAT villages to collect my primary data for the
research, as it’s the most feasible resource I could get given the time constraints. I will try to
divide the farmers into two categories whereby I would be looking at farmers who have
access to credit and at those, who have no access. Based upon the difference in characteristics,
I would like to prove my hypothesis using statistical tools and other available secondary data.
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State level study- Maharashtra
Maharashtra is located in the western and central part of India. It’s one of the most
progressive and developed states of India. Ironically it has the greatest inequality too.
Maharashtra has cities like Mumbai, Pune, and Nagpur that are famous for rapid urbanization
and are the destined source of livelihood for most of the Indians whereas it has Vidharbha too,
where the standard of living is so poor that people are committing suicides to get rid of their
problems. The huge disparity in the state makes it the most eligible state for my research
project.
Chart 01: - Rate of financial inclusion in the state of Maharashtra
DISTRICTS
TOTAL
CULTIVATORS*
LOAN APPLIED
TOTAL#
% Cultivator
included
Thane 388700 127545 32.81
Raigad 261000 54000 20.69
Ratnagiri 402600 195690 48.61
Nasik 823700 482405 58.57
Dhule 204300 119301 58.4
Jalagaon 377000 236501 62.73
Ahmednagar 824100 431736 52.39
Pune 793600 152840 19.26
Satara 630300 392017 62.2
Sangli 560400 276821 49.4
Solapur 595400 225610 37.89
Kolhapur 665900 306743 46.06
Parbhani 237600 44109 18.56
Beed 463000 120086 25.94
Nanded 386600 140081 36.23
Osmanabad 257000 51000 19.84
Buldhana 353700 169239 47.85
Akola 122700 81397 66.34
Amarawati 209400 87912 41.98
Yeotmal 308300 188122 61.02
Wardha 138900 44546 32.07
Nagpur 225300 117654 52.22
Bhandara 134800 54876 40.71
Chandrapur 239200 72889 30.47
Jalna 317800 156743 49.32
Latur 300000 184562 61.52
Gadchiroli 219300 41639 18.99
Sindhudurg 189000 29574 15.65
Gondia 183200 20165 11.01
Hingoli 206400 31754 15.38
Nandurbar 205600 32456 15.79
Washim 143000 57402 40.14
Overall 39.06
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Distribution of formal credit in India is a state subject. As already mentioned credit is the soul
of good agriculture practice therefore Indian government initiated a successful Lead bank
scheme to check efficient and sufficient distribution of formal credit in India. Under this
scheme, a single bank was selected as a lead bank in every district headquarters. This bank
was supposed to issue crop loans to the farmer and also check the functioning of other public
banks in the locality. Bank of Maharashtra is the lead bank in the state of Maharashtra and is
suppose to take care of distribution of credit in all the 35 districts. The data here is the
inclusion rate according to the state lead bank committee (SLBC) in the year 2011-12. Here
we have taken the number of farmers who have taken the loan in the past year and the number
of total cultivators in the area according to the census 2011. Based upon the data, we have
done few calculations to bring a macro level picture of distribution of credit in the state of
Maharashtra.
From the chart 01, we can see the coverage of formal financial institutes in the state of
Maharashtra. The state average is 39.06%, which means out of the total, 39.06% of the
farmers are covered under formal source of credit or made available with formal loan. Akola
is the best district where nearly 66% of its farmer population is covered under formal source
of credit and Gondia is the most excluded district where only 11% of its population is
included or covered under formal source of credit(State lead bank committee, 2012). The
inequality about which I have mentioned in the beginning can easily be seen here through this
data. For my research I was supposed to take Akola and Gondia as my sample but due to the
time constraint, I choose Akola as my sample district as the inclusion here is the greatest and
the impact on technology adoption could be easily deduced.
Results and Discussions
Kanzara and Kinkheda are the two villages in Akola that I have taken as my sample village.
Based upon my real time experience, I could conclude that Kanzara is a slightly better village
than kinkheda in term of availability of resources, standard of living and connectivity to the
nearest town. The following is the basic profile of farmers in the area-
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Category Kanzara Kinkheda
Landless farmers 416 256
Marginal farmers 230 159
Small farmers 370 160
Medium farmers 218 173
Large farmers 193 128
Source: (ICRISAT, 2010)
An Important information is that at kanzara around 25% of the total population is excluded
from financial sources and at Kinkheda around 30% of its population is excluded. Both the
villages have no banking facility and they are dependent on Akola district co-operative and
Central Bank of India located at Murtizapur for banking facility. Kanzara is around 9 km from
Murtizapur and Kinkheda is around 12km from Murtizapur. This distance might be one of
the many reasons for the increasing exclusion when we compare both the villages. Now the
following are my sample’s basic information that I have collected during my field visit.
KANZARA KINKHEDA
• RESPONDENTS- 29
• MURTIZAPUR- 9KM
• MAJOR OCCUPATION- Farming and
laborers
• MAJOR CROPS GROWN- soybeans,
cotton, tur.
• AVERAGE AGE OF FARMERS- 44
years
• AVERAGE INCOME OF FARMERS-
Rs 96,666 with highest being Rs
3,00,000 and lowest being Rs 30,000.
• AVERAGE EXPENDITURE ON
FARMING- Rs 47,470 with highest
being Rs 1,00,000 and lowest being Rs
15,000.
• AVERAGE LAND HOLDING- 5 acre
• IRRIGATED- 3 acre
• NON-IRRIGATED- 2 acre
• AVERAGE LOAN TAKEN- Rs 33,307
• AVERAGE OUTSTANDING LOAN-
Rs 6592
• RESPONDENTS- 30
• MURTIZAPUR- 12KM
• MAJOR OCCUPATION- Farming and
laborers
• MAJOR CROPS GROWN- soybeans,
cotton, tur.
• AVERAGE AGE OF FARMERS- 47 years
• AVERAGE INCOME OF FARMERS- Rs
102,787 with highest being Rs 4,00,000 and
lowest being Rs 7000.
• AVERAGE EXPENDITURE ON
FARMING- Rs 48954 with highest being Rs
2,00,000 and lowest being Rs 5,000.
• AVERAGE LAND HOLDING- 8 acre
• IRRIGATED- 5 acre
• NON-IRRIGATED- 3 acre
• AVERAGE LOAN TAKEN- Rs 33,950
• AVERAGE OUTSTANDING LOAN - Rs
14030
19
As I have already mentioned that kanzara is slightly a better village, it can be seen from the
fact that the average outstanding loan for kinkheda is Rs 14,030 that is much greater than that
of kanzara, which is Rs 6592. Outstanding loans results in default and farmers artificially get
excluded from the formal source of credit ultimately resulting in financial exclusion. Again,
irrigated land is preferred over non-irrigated in terms of loan disbursement as there’s a higher
chance of recovery in irrigated area. Given my sample of 29 people who were using formal
source to borrow credit, 65% of the total were farmers having majority of their land holdings
in irrigated area. Beside this, most of the crop loan was used for crops like soybean and
Cotton.
Impact of Credit on technology adoption
The literature review that I followed and my discussions with my mentor and other scientists
at ICRISAT brought to me a single picture that credit has a positive impact on technology
adoption, which means given a timely and sufficient amount of credit supply, a farmer is able
to make use of better technology available for a particular crop. In my study, I have regarded
technology as new and high yielding variety of seed. The following were few key findings-
Importance of credit can easily be felt from the fact that on asking my 59 respondents that
what would they do, if no credit is available to them. It was surprising to see that only 27% of
the total farmers told me that they would continue farming. Rest would quit farming and lease
out their land, work as a laborer or migrate to some other place.
In both the villages, credit was easily available and farmers were making use of credit. On
asking the question that whether credit has helped you in buying new technology? It can be
seen in the figure 03 that nearly 77% of the farmers told me that it has a positive effect and
that credit has helped them in buying new technology.
20
Figure 03: - Results of farmers use of new variety of seeds
23% of the farmers who told me that they were not using new technology were mainly small
landless farmers and defaulters with no source of credit.
I have already mentioned that kanzara is a better village than kinkheda in terms of use of
credit and access to credit. The default rate too is less at kanzara. Now knowing this we see
that-
Figure 04:- Use of new variety, village wise
45
14
0
5
10
15
20
25
30
35
40
45
50
Yes No
0
5
10
15
20
25
Series1
0
5
10
15
20
25
30
Kanzara yes no
Series1
21
It’s clear from figure 04 that in kanzara, 83% of the farmers were using new technolgy and
only 17% said that they weren’t aware or using the new technology. Similarly at Kinkheda, it
was seen that 73.3% of the farmers used new variety and the rest said that they were not using
the new technology. Here we can see that at kanzara a propotionate more farmers were using
new variety of seeds compare to that in kinkheda. My sample size was very low due to the
time constraints but still we can get a micro level picture where it shows that credit has a
positive impact on adoption of technology. We can clearly see that at kinkheda more farmers
said no as compare to kanzara. Beside these, I tried to get an overall picture on what farmer
feel about this hypothesis. So I asked them has credit technologicaly empowered them or do
you think it has any effect on adoption?
Figure 05:- This figure shows the percentage of farmers who believe that credit has
technologicaly empowered them.
Thus we can clearly see the positive response in figure 05. 91.5% of the farmers said that
credit has a positive effect on technology adoption and only 8.4% of the farmers did not agree
to my hypothesis. Thus, it was clear that credit has a positive effect on technology adoption.
After numerically proving my hypothesis, I tried to run a small regression function to
statstically prove the hypothesis. The following are the result of regression-
91.5
8.4
Yes
No
22
Regression Analysis
Here, we have taken adoption as a function of many variables. Adoption is a dummy variable
and the function looks like-
A= F( x1,x2,x3,x4,x5,x6,x7)
Where,
A- Technology Adoption
X1- Farmer’s Age
X2- Land Holding
X3- Rainfed Holding
X4- Household Income
X5- Household Profit
X6- Amount Borrowed last year
X7- Outstanding Loan
Running the simple regression using Ordinary Least Square method, we get results as
follow-
R R SQUARE ADJUSTED R SQUARE
0.499 0.249 0.147
VARIABLE NAME COEFFICIENT T VALUE SIGNIFICANCE
AGE -0.267 -2.135 0.037
LANDHOLDING 0.142 0.526 0.601
DRY HOLDING -0.188 -1.147 0.257
AVERAGE
INCOME
0.161 0.212 0.833
NET PROFIT -0.118 -0.202 0.833
CREDIT 0.369 1.918 0.061
OUTSTANDING
LOAN
0.060 0.459 0.648
23
Running the OLS regression, it was seen that Age and Credit were two significant variable
influencing the adoption of technology. It was seen that credit has a positive effect on
technology adoption which means that as the farmer is made available with more of loan or
credit faciliy, he tends to use more of technology or purchase new variety of seeds. Beside
this, Age had a negative impact on technology adoption which shows that as the age of farmer
increases, his tendency to use new variety of seed decreases. Any variable is influenced by
many factors and one single can never be a driving factor but given the results, we can surely
say that credit is one important variable or factor which influence the rate of technology
adopion.
Pearson Correlation
Sig. (2-tailed)
ADOPTION CREDIT
ADOPTION 1 0.399(**)
CREDIT 0.399(**) 1
** Correlation is significant at the 0.01 level (2-tailed).
Finally, it was also seen that there was a positive correlation between technology adoption and
credit. Thus statistically too we can say that availability of credit to farmer can improve his
adoption of new technology. Proving this, now we look at the second part of my research
which focuses on constraints and limitations.
24
Constraints in Accessing Credit
When we talk about constraints, the list can be never ending. Literature,books, articles or let it
be any major findings on credit, there is always a special mention about constraints and
limitation. Credit being a state and sensitive subject, there are a lot of problems in its
distribution. The following are few important of them, which I think is worth mentioning.
Here I have divided the constraints into two . The first one are the problems which the farmers
say they have faced real time while taking the loans and the second part deals with problems
that I have deduced from my primary research findings.
Constraints faced by farmers-
Borrowing Credit from formal sources are lengthy and time taking process. It was
seen that on an average it took 15-30 days to take a loan. It’s almost impossible to get
the loan on time and this is then reflected by the fall in production and productivity.
Many farmers complained of delay in disbursement of loan. After a loan is being
sanctioned, it takes another week for disbursement.
Documentation process is large. To take a formal loan, n numbers of documents are
needed to be presented to the banker. No objection certificate and nodules are to be
collected by the farmer from all the other banks in the area, which is time consuming.
A farmers has to travel a lot for a formal loan to be sanctioned. His opportunity cost is
wasted. He could have used this time for cultivation but its wasted and not accounted.
Many farmers complained of bribe being asked by the officials for loan.
Many farmers complained of Amount of loan ibeing too low to make any long term
changes in farming practices. The amount alloted merely meet the basic input cost.
Credit is not at par with need. At least Rs 10,000 per acre must be provided which is
way higher than the present allotment of Rs 6000 per hectare.
Sources of credit are not enough and at the time of need, the demand is higher than
supply. Generally loan is required just before the kharif and rabi season. Thus at these
times, there is a sharp incraese in number of applications and the formal sources in the
area are not able to meet the rise in the demand.
25
Other limitation out of my research findings-
Awarness about the government programs and facilities. It was found that 42.3% of
the total farmers were not aware about the various government programs and schemes
and those who knew only a few had a experience of using their rights or making use of
the facility.
Another limitation arises in form of loan utilization pattern. Crop loan is issued for the
sole purpose of culivation of new crops. Most of the farmers being poor it was seen
that a part of the loan amount is used for household consumption too. This ultimately
results in fall in productivity and production as the alloted sum is not used to buy the
optimal amount of inputs. Another important thing that was seen in case of utilization
pattern was that when a farmer took a crop loan from formal sources, he used a part of
the sum for agriculture and other for household consumption but when a farmer took a
crop loan from non-formal sources, he used the whole sum for the agriculture itself.
Thus there was a disparity in the use of funds alloted from formal and informal
sources. One important fact for this situation is that the formal loan cost a farmer only
7% per annum whereas the same loan through informal sources cost a farmer anything
between 66% to 100% per annum.
Whenever we think of formal loan, nobody talks about the cost of loan or the cost that
is to be borne by the farmer in order to make use of this loan. Many will think that
there are no cost and if it exist, it would be negligible. To everyone’s surprise, it was
seen that 33% of the farmers had to pay from their pocket in order to make use of the
loan. Nearly every farmer in my sample has incurred some cost but these 33% of the
farmers had to pay more than 10% of the loan amount as cost to loan. Given the
condition of farmers, this 10% is a surprisingly great sum. For a loan of Rs 7000, in
monetary terms a farmer had to pay from Rs 750 to Rs 5000 as cost to loan. These
cost include many charges like travel,documents and bribe.
Womens are an important part of any society. Nearly 50% of the total population
consist of them. When we talk about formal loans to women, it was seen that no
women farmers were making use of the formal loan. Surprisingly, this was true
because by the nature of Indian law on land ownership, they were permenantly
disqualified. We already know that to make use of formal loan, the farmer has to keep
his land as a collateral. Here, when they have no land on their name, they have no
collateral and thus they are non-eligible for the formal loan.
26
Land is the true wealth of a farmer. Land values have appreciated in recent times and
are at the all time high. But inefficiency in government mechanism and illegal
registration of the land at lower price to avoid taxes have kept the prices of land lower
in government books and records. It was seen that many farmers were not happy with
the amount they are being offered against their collateral. They feel that the land value
is high and once the land papers are kept with the bank, the farmers couldn’t sell them
or use them to take other loans on it. Thus, they feel true value of the land must be
realised and loan or money should be given at par with the true market value.
Another important constraint which I found was artificial exclusion existing in the
village. I have used these term to define a situation, where banking facility is provided
but farmers aren’t able to make use of the facility. In my sample, 46% of the total
farmers were atificialy excluded from formal source of credit. Reasons for this
exclusion are default or outstanding loans, no colateral or landless farmers and land
not being registered on name of the farmers. Nearly 75% of the excluded farmers were
defaultes and thus were not eligible for new loans. It was followed by landless farmers
and land being not on the name of farmer. The worst hit of this scenario are the female
farmers, where hindu family law doesnot allow the land to be registered in the name of
females. Therefore they are by default excluded.
Again in case of defaulters it was seen that out of the total of 55% of the farmers belonged to
the category of farmers whose income were less than Rs 75000 per annum followed by high
income groups and in another category, 70% of the defaulters belonged to the category of
farmers whose landholdings were less than 8 acre. Thus we can see that small and poor
farmers are the most affected.
Lastly, it was found that the amount of loan or credit which is issued is not enough.
70% out of the total who were still making use of formal sources said that the loan
amount is not enough. Few important reasons for this unsatisfaction was the rising
prices of inputs over the time, black marketing of seeds in the open market and
inflated prices of fertilizers at the retail store.
Suggestions/ solutions: When there are problems,there are ought to be solutions to them.
I have found few solutions, of which some were listed by the farmers and some have been
deduced through my research. The following are the solutions-
27
Suggestions by the farmers
• There should not be disparity in allocation of fund between the irrigated and non-
irrigated land. It’s a common practice that irrigated land are preferred over non
irrigated during loan sanctioning practice. We should note that 55% of India’s
agriculture land is non-irrigated or rainfed. This discrimination would lead to
worsening of the agriculture situation in the coming times.
• The amount of loan in share per acre of land should be increased. At present it is Rs
6000 per acre. This sum as I have already mentioned is not sufficient for most of the
farmers. This sum need to increased to atleast Rs 10,000 per acre.
• Accessibility should be improved. There are many farmers who are artificialy
excluded. We should know that if this artificial exclusion rate is not checked, it could
lead to a crisis whereby most of the farmers could be in this cateogary and then the
government would have to waive of their loan at the cost of the tax payers money,
which is indeed unethical. There should be a special provisions for defaulters.
• Payments of loans in installment should be allowed and new loans should be issued
once certain part of the previous loan is paid. It was found that most of the farmers
have defaulted because at the stipulated time they lacked the total amount of money
that is to be paid to the bank. Banks should allow customized installments, whereby
farmer could choose his own slab depending upon his ability and there should be a
provision to give new loans once a certain pre-fixed part of the outstanding loan is
paid. Defaulting the farmer leads to his non access to formal credit and thus hampers
his agriculture gowth.
• Private banks should have more of participation. 18% priority sector lending is
mandatory for all the banks but its seen that most of the private and foreign banks
have failed to do so. Making a check on their efficient working could enhance the
supply of rural credit and would be definitely for the betterment of farmers in india.
• It was seen that most of the farmers faced a problem whereby they were not aware
about various government programs and their rights. Information center must be set up
at every district headquarter if not at every taluka where all the relevant information
must be provided to farmers free of cost. This would improve the farmers knowledge
and could also help in curbing the malpractices of bank officials.
28
• Lastly, Landless farmers should be provided with a source of Credit. A major portion
of Indian farmers belong to this category. Their condition will not improve until they
are provided with a formal source of credit.
Study recommendations:
• Small and medium size business must be promoted and loans for the same must be
issued. Farming alone cannot help the farmers as it’s a seasonal employment. In my
survey,I have seen that most of the farmers have a very low income and their standard
of living is poor. Providing them SME loans can improve the farmers livelihood.
• Farmers have a share in co-operatives. As a share holder, he should be given his
dividends on time and the working of the co-operative should be made transparent to
all the farmers or at least the member farmers.
• Credit plus approach must be used by the bank officials. This means the bank should
not only disburse the loan amount but also take care of the optimal and efficient
utilization of the loan. Once this method is applied, the amount of loan default and
defaulters will decrease and it will be a beneficial situation for both the bankers and
the farmers.
• Technology specific loans i.e. loans for tractors, seeds, micro irrigation etc must be
introduced. This will help a farmers in buying the much needed echnology which he’s
unable to use as the crop loan amount is barely enough to meet the tradition
requirements of farming.
• Most of the default is due to failure of monsoon. Banks can hedge this risk by linking
the production to future’s market. This will be beneficial for both the farmers and the
banks.
• Almost all the farmers have mobile phones. Therefore all the relevant information can
be send to them through a voice mail in the local language. This service would be free
of cost to the farmer and it won’t cost the government much. Nearly all the service
providers would be more than happy to provide this help under their CSR( Corporate
social resposibility) or on payment of small fee.
29
Special Recommendation
Based upon my primary survey and study, I have found few key things worth mentioning and
are listed here. Co-operatives and Crop insurance schemes are two critical things that are
supposed to uplift the condition of Indian farmers but sadly none of them are working to the
level they should. Co-operatives have a very high default rate whereas none of the farmers
have been benefited out of the mandatory crop loan scheme. There’s cost attached to all the
policies and this cost is borne by the taxpayers of this country. Inefficiency and failure at the
cost of billions of taxpayers is a serious problem and we need to do something to bring in an
optimal solution. I have tried listing some, which I feel can be beneficial to all stakeholders.
Replace Insurance with future market
Outstanding loans or defaults are the highest risk involved in rural credit. Many banks fail to
provide efficient supply of rural credit because they are worried about the recovery of loans.
Most of the default is due to failure of monsoon. Given a chance a farmer would always like
to pay back his outstanding loans because non payments leads to his non eligibility for new
loans and informal loans are very costly. Banks alone cant be blamed for rejecting the loan
applications because increasing number of defaults could lead to the bankruptsy of the bank.
At present when a farmer takes a loan, a certain part of his loan amount is taken back as a
premium to his crop insurance which is mandatory. But hardly, any farmer get compensated
due to the area approach followed by most of the insurance companies. So, what should be
done?
One solution to this problem can be hedging this risk by linking the production to future’s
market instead of the insurance. When the bank officials sanctions a loan to the farmer, they
should make an assumption of the profitable production. Now, the banker should buy the
subsequent production amount’s contract in the future market to be delivered in the future
date i.e. the date on which the farmer is suppose to reap his own production and for all this the
banker will have to pay a small premium. Now suppose the production fails due to the failure
of monsoon,then the banker can take the delivery of the production hedged and thus save the
farmer and bank both from the crisis and if the monsoon and production are normal then the
banker can breach the contract and he would loose the small premium which he has paid at
the beginning of the contract. This premium would be more or less equal to the insurance
30
premium amount. The only benefit is that here the farmer would be actually compensated for
the loss, he has incurred. This would definitely be a win-win situation for both the farmers
and the bankers.
Working of the co-operatives
During my field visit, I was surprised to know that most of the financial inclusion was not by
the National Banks but was by the Co-operatives in the area. Co-operative is a formal institute
wherein a farmer has to be a menber to make use of the loan or financial services. Once a
farmer takes a loan from the co-operative, 10% of his loan amount is taken back by the co-
operative and he’s been offered with a share in the co-operative of the equal worth. Again,
when a farmer default or if he’s not able to pay back the loan, he is termed as a defaulter and
is not made avaialble with any new credit.
Now, being a member of the co-operative a farmer has a right to sell back his old share in the
co-operative and from the money thus received, he should be able to convert his default
account into a regular by paying back the old sum which he has borrowed and defaulted.
Atleast that’s what a common person do,when he takes a share in a private company. He buys
during his golden times and sell them at the time of credit crunch. But the same doesnot hold
true for a member of the co-operative. He has no right to do so or if there is one, no farmer is
aware of this. Beside this, being a member, the farmer should be made available with all the
workings of the committee and if not all the members, regular farmers or members should be
provided with timely dividends.
Co-operatives are government organizations for the betterment of farmers. There efficient
working should be checked and they should work toward uplifting the status of farmer and
not act as a bottleneck in the path of success. Their efficient working and timely help could
help in smooth flow of rural credit and can improve the financial inclusion too.
Conclusion
Agriculture in India is a state subject and its enhancement is greately dependent upon the
functioning of the government. Credit as we have seen is the soul of agriculture. Timely and
sufficient supply of credit could do wonders for the agriculture and can take the agriculture to
the highest equilibrium of growth and development.
31
Policy makers at the centre and state are always worried about the impact of increasing the
supply of credit. It’s seen that an increase in supply of credit tends to bring in inflation, which
is a topic of concern for the policy makers. Through this research, we have seen that credit has
a positive impact upon the technology adoption. If the supply of rural agricultural credit
increases, it would be certainly reflected back by an increase in technology adoption at the
field. We should know that using more of technology will ease the farmer’s work load and
will ultimately increase the production and productivity. Thus there’s a great scope of
increasing the supply of rural agricultural credit and it would be beneficial for both the policy
makers and the farmers.
But it was seen that there are many constraints and bottlenecks in the path of credit and
agricultural growth. Providing banking facility to the poorest of poor will only be possible
once we are able to reach them. Problems have been the same since ages and no effective
solutions have been provided till date. It should be noted that Indian agriculture is suffering
but its dependency is at its peak. Solutions with immediate effects are the need of hour and
they should be brought in and implemented soon.
32
Bibliography
498, N. S. (2003). Indebtness of Indian farmers. Government of India.
Agarwal, A. (2008 йил 3-March). Economic Research. From
http://www.oecd.org/dataoecd/16/55/40339652.pdf
Distribution of loan amount. (2004-05). New delhi: Academic foundation. Department of
Agriculture and co-operation.
(2010). Evaluation of self help gropus. NABARD.
(2007). Expert group on agriculture indebtness.
ICRISAT. (2010). Know your village profile. Patancheru.
Mohan, R. (2008 йил March). Distribution of credit in India. IDBI Gilts limited.
(2005). National Sample Survey Organization. GOI.
(2008). National Sample Survey Organization. Government of India.
(2012). State lead bank committee. Bank of Maharashtra.
(2010). Task force on credit related issues of farmers. NABARD.
(2010). Working of KCC. NABARD.
33
Annexure
Questionnaire for the field survey Constraint to technological Adaptation- Role of Rural Credit and Financial Inclusion
Name of respondent:/--------------------------------------------------------------------------------- Sex:/ ------------- Age: /------
---------
Village: /_____________________________District: /_________________________________
Land holding:/_______________ (acres) --------------------------- Irrigated -------------------------------- Rain fed
Major crops growing: ------------------------------------- -------------------------------- --------------------------------- Are you member of cooperative society: --------------------------------- (yes/no) Annual Income:/ ___________________ Gross expenditure:/ ---------------------------------------------------
Major sources of credit: (Pl. tick them)
Formal Informal Money lenders Others if any
National Banks DCCBs/PACs Others
Farmer Cooperatives /SHGs Friends/Relatives Micro-finance institutions
Village money lenders Other if any
Have you applied for credit in recent times (last year)? (yes/No) If yes, How many times you have applied for credit in the last one year? ----------------------- In that how many times approved ------------------------------------ In total, how much you have borrowed: ------------------------------------- (Rs) From where Inst ---------------------------------- Amt -------------------------------------- Int rate-----------------
Inst -----------------------------------Amt --------------------------------------Int rate-----------------
Inst -----------------------------------Amt --------------------------------------Int rate-----------------
Inst -----------------------------------Amt --------------------------------------Int rate-----------------
EA ENA NE
34
How you utilized the loan money:
Purpose Amt
Seed (Improved)
Fertilizer
Pesticides
Consumption
Health
Household expenditure
Others if any
Are you getting enough credit for cultivation of crops? (yes/no)
If no what are the reasons: ----------------------------------- -------------------------------------------- -------------------------------
--------------
What are problems in borrowing credit (institution-wise)
1.
2.
3.
4.
If Not accessible to credit, what are the reasons:
o Not member in cooperative o Not have collaterals / security o Defaulter /having outstanding loans o Self sufficient o Time taking process o Others________________________
Are you aware about the various government schemes that are prevailing related to credit and crop loans? (yes / No) If yes, Pl. explains: ----------------------------------------- ------------------------------------------------ ----------------------------- Are you aware about the new variety of seeds in the market?(yes/ No)
If yes, Pl. explain about ------------------------------------ ------------------------------------------ ---------------------------------
Where you prefer to borrow more in future and Why? (Formal and Informal)
Why: ------------------------------------------ ------------------------------------------------- --------------------------------------------- How much outstanding loans do you have --------------------------- (Rs.) when you borrowed ------------------------ Reasons for outstanding: -------------------------------------- -------------------------------------- --------------------------------- How much money did you incurred in obtaining the loans (Rs)--------------------------------------- If you are NE, what are the reasons: ------------------------------------ -------------------------------------- ------------------------
35
In your opinion, the overall proportions of money borrowing from different sources in the village: Formal ------------------------------(%) In-formal -------------------------------- (%) Others ----------------------------- (%) *EA- Eligible and accessible ENA- Eligible but don’t have access NE- Non- Eligible