Why will a village moneylender lend to a poor farmer when a bank will not, and why does he charge so much? This lesson explains why credit markets fail where lenders cannot see who is a risky borrower or what the borrower does with the loan, builds the break-even interest rate of a lender, shows how joint liability can replace collateral, and describes India’s rural credit institutions: cooperatives, NABARD, regional rural banks, the Kisan Credit Card and self-help groups.
Credit is a promise to repay in the future. Whether the promise is kept depends on things the lender cannot easily see, and two problems follow.
Joseph Stiglitz and Andrew Weiss (1981) showed that with both problems the lender’s expected return can fall when the rate is raised beyond a point, so that it is better to ration credit, refusing loans to some applicants who are willing to pay the going rate, than to raise the rate until demand equals supply. The poor suffer most because they have no collateral to pledge, which is the usual device for reducing both problems, and because a small loan costs nearly as much to assess as a large one.
In colonial India, the system of agricultural credit was dominated by indigenous moneylenders (CUET 2026), and informal lenders, who include moneylenders, traders and landlords, still lend to many poor households. They lend to the poor more than banks do because, relative to commercial banks, they can more easily circumvent the information problems (JNU 2020): they live in the village, know each borrower’s character and land, and can link the loan to the borrower’s other dealings with them (Lesson 12). They are not necessarily less risk averse, and they do not charge lower rates.
Their rates are high, and the break-even calculation shows why this need not reflect monopoly power. A lender who lends one rupee, pays a cost of funds ρ, spends c on screening and collecting, and loses a share d of loans entirely must charge at least
since only the share 1 − d of loans repays the principal and interest. With default of 10 per cent, a cost of 5 per cent and a cost of funds of 7 per cent, the break-even rate is 24.4 per cent, and nearly half of that is the cost of loans that are not repaid and of screening and collecting. Aleem (1990), who studied lenders in a village market in Pakistan, found that the high rates largely reflected the cost of screening and monitoring borrowers and of default, so that the lenders’ profit was small relative to the rate. High rates can thus be an outcome of costly information, and not only of market power.
Illustrative models, not data. Joint liability assumes the two projects succeed independently and that a successful borrower can cover both repayments; in practice repayment also rests on peer pressure and on the group deciding who is trusted in the first place.
Muhammad Yunus began lending small sums to poor women in the village of Jobra in Bangladesh in 1976; the Grameen Bank, founded on that experience, was given its own legal form in 1983. Yunus and the Grameen Bank received the Nobel Peace Prize in 2006 (UGC NET 2024 pairs the name of Yunus with microfinance). The model lends without collateral to small groups of borrowers, who are jointly liable for each other’s loans: if a member does not repay, the others must cover her, or the group loses access to future loans. According to the World Bank view quoted in UOH 2017, a major cause of poverty is the lack of access to credit markets for want of collateral, and the microfinance model is said to overcome the limitation by implementing joint liability on the group.
Why it can work: group members know one another, so they pick partners they trust (screening, which reduces adverse selection); they see how the loan is used and can pressure each other (monitoring, which reduces moral hazard); and they can enforce repayment through the social ties (social collateral). The theory is in Stiglitz (1990), Besley and Coate (1995) and Ghatak and Guinnane (1999); Besley and Coate also show a catch, that a group may let a member who could repay default, because the others are willing to pay, so joint liability can in some cases lower repayment.
The second chart of the calculator shows the arithmetic of one simple case. Two borrowers each succeed with probability p, independently, and a successful borrower can cover both repayments. The lender is repaid unless both fail:
With p = 0.8, the pair repays with probability 0.96, against 0.8 for each borrower alone. The model leaves out what makes real groups work or fail: the willingness of the successful member to pay, and the cost to her of doing so.
The questions in this area ask for names and years. The main points:
Microfinance was widely expected to lift households out of poverty. Randomised evaluations gave a more modest result. Banerjee, Duflo, Glennerster and Kinnan (2015) offered microcredit through a lender in Hyderabad to randomly chosen neighbourhoods and followed households: they found no significant effect on average household spending, health, education or women’s decision-making, though more households started businesses and bought durable goods. Access to credit seems to help some borrowers and not to transform the average. The case for microfinance is therefore as a way to smooth consumption and to help small businesses, and not as a quick fix for poverty; a lender that charges interest near the break-even rate is also not earning a monopoly return.
Questions on credit market failures, informal lending, microfinance and Indian rural credit institutions. Banking and monetary policy more generally are covered in the Indian economy pages; tenant credit is in Lesson 12.
Definitions, components of indices, who said what, and one-step calculations. Most Hyderabad and CUET questions sit here.
Calculations from definitions, statement and matching questions, up to JNU, IIT JAM, GATE and UGC NET level.
These are questions from the TestStop bank. A free account answers 10 a day, each with its worked solution; All-Access opens every set with no daily limit.
Adverse selection arises when a lender cannot observe the inherent riskiness of borrowers before lending. A higher interest rate then drives away the careful, safe borrowers and leaves the riskier ones, so the lender's returns can fall as the rate rises. Stiglitz and Weiss (1981) showed that lenders may therefore ration credit instead of raising the rate until demand equals supply.
Moral hazard arises when a borrower, after receiving a loan, takes actions that raise the chance of default and that the lender cannot observe, such as choosing a riskier project or putting in less effort. Since the borrower does not bear all of the loss, the actions are not the best ones for the lender. Collateral, monitoring and the threat of cutting off future loans are the usual remedies.
In group lending, each member's loan is guaranteed by the others in the group, so that if one cannot repay, the group has to pay or all lose access to future loans. Group members know each other and can monitor and pressure one another at less cost than a bank, and they choose partners they trust, which screens out the risky. This substitutes social collateral for physical collateral, which the poor lack.
A self-help group is a group of about 10 to 20 members, usually women from poor households, who pool small regular savings and lend them to one another, and who can borrow from a bank as a group. In India, the NABARD SHG–Bank Linkage Programme began as a pilot in 1992 and became the main route for microfinance in the country, alongside microfinance institutions.
The Kisan Credit Card scheme, started in 1998, gives farmers a card with a credit limit for crop loans and other agricultural needs, so that they can draw funds as needed during the season without applying for a loan each time. It is a way of delivering short-term credit and does not replace the Rural Infrastructure Development Fund, which is a separate fund at NABARD.
The National Bank for Agriculture and Rural Development, set up in July 1982 on the recommendation of the Shivaraman Committee, is the apex institution for agricultural and rural credit in India. It refinances cooperative banks, regional rural banks and commercial banks that lend to agriculture and rural industry, supervises the cooperative and rural banks, and runs development programmes, including the SHG–Bank Linkage Programme.