THE WORLD BANK ECONOMIC REVIEW Volume 4 September 1990 Number 3 17595 A SYMPOSIUM ISSUE ON IMPERFECT INFORMATION AND RURAL CREDIT MARKETS Introduction: Imperfect Information and Rural Credit Markets- Puzzles and Policy Perspectives Karla Hoff and Joseph E. Stiglitz Credit Markets in Northern Nigeria: Credit as Insurance in a Rural Economy Christopher Udry The Thai Rural Credit System: Public Subsidies, Private Information, and Segmented Markets Ammar Siamwalla and others Interactions between Institutional and Informal Credit Agencies in Rural India Clive Bell Imperfect Information, Screening, and the Costs of Informal Lending: A Study of a Rural Credit Market in Pakistan Irfan Aleem Peer Monitoring and Credit Markets Joseph E. Stiglitz THE WORLD BANK ECONOMIC REVIEW EDITOR Ravi Kanbur ASSISTANT EDITOR Clara L. Else EDITORIAL BOARD Carlos Rodriguez, John Holsen Centro de Estudios Macroeconomicos, Buenos Aires Ravi Kanbur T. N. 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This journal is indexed regularly in Current Contents / Social & Behavioral Sciences, the Social Sciences Citation Index", the Journal of Economic Literature, and the Public Affairs Information Service. THE WORLD BANK ECONOMIC REVIEW Volume 4 September 1990 Number 3 A SYMPOSIUM ISSUE ON IMPERFECT INFORMATION AND RURAL CREDIT MARKETS THIS SYMPOSIUM ISSUE draws on papers presented at a World Bank conference on agricultural development policies and the economics of rural organization which was held in Annapolis, Maryland, frorth June 13 to 16, 1989. (The conference was organized by Avishay Braverman, Karla Hoff, and Joseph E. Stiglitz.) The articles in this issue were refereed in the usual way. The Editorial Board invited Karla Hoff to edit the selected papers and asked her and Joseph E. Stiglitz to write the introduction to the symposium. Introduction: Imperfect Information and Rural Credit 235 Markets-Puzzles and Policy Perspectives Karla Hoff and Joseph E. Stiglitz Credit Markets in Northern Nigeria: Credit as Insurance 251 in a Rural Economy Christopher Udry The Thai Rural Credit System: Public Subsidies, Private 271 Information, and Segmented Markets Ammar Siamwalla, Chirmsak Pinthong, Nipon Poapongsakorn, Ploenpit Satsanguan, Prayong Nettayarak, Wanrak Mingmaneenakin, and Yuavares Tubpun Interactions between Institutional and Informal Credit 297 Agencies in Rural India Clive Bell Imperfect Information, Screening, and the Costs 329 of Informal Lending: A Study of a Rural Credit Market in Pakistan Irfan Aleem Peer Monitoring and Credit Markets 351 Joseph E. Stiglitz Index to Volume 4 367 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3: 235-250 Introduction: Imperfect Information and Rural Credit Markets-Puzzles and Policy Perspectives Karla Hoff and Joseph E. Stiglitz Rural credit markets have been at the center of policy intervention in devel- oping countries over the past forty years. Many governments, supported by multilateral and bilateral aid agencies, have devoted considerable resources to supplying cheap credit to farmers in a myriad of institutional settings. The results of many of these interventions have been disappointing, and one expla- nation for this must be that they were based on an inadequate understanding of the workings of rural credit markets. The articles in this symposium issue are devoted to empirical and theoretical investigations of rural credit markets, in the framework of the imperfect infor- mation paradigm. The authors show how this framework is useful not only in explaining puzzling features of these markets, but also in providing a policy perspective to assess the successes and failures of specific interventions. I. TRADITIONAL VIEWS AND PUZZLES Rural credit markets do not seem to work like classical competitive markets are supposed to work. Interest rates charged by moneylenders may exceed 75 percent per year, and in some periods credit is unavailable at any price. The high observed interest rates were attributed by many to the monopoly power of the village moneylender. The policy response arising from this explanation of high interest rates was clear-it was to provide cheap institutional credit as an alternative to the moneylender. But the past forty years of experience of government intervention in rural credit markets suggests that the creation of institutional alternatives has failed to drive the traditional moneylender out of the market and, whatever competi- tion it has provided, interest rates charged by traditional moneylenders remain high (see table 1). In addition, high default rates have prevented the institutions Karla Hoff is an assistant professor of economics at the University of Maryland, College Park. Joseph E. Stiglitz is a professor of economics at Stanford University, Stanford, California. The authors ac- knowledge their debt to Avishay Braverman for initiating and organizing the conference from which the articles in this symposium issue were selected. ( 1990 The ][nternational Bank for Reconstruction and Development / THE WORLD BANK. 235 236 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 from being self-financing: recurrent and often large injections of government funds have been required. And despite these subsidies, many of these credit programs have had little success in reaching farmers without collateral or with below-average income. This apparent failure of policy intervention did not come as a surprise to those who did not believe in the monopoly power explanation of high interest rates, but believed instead that credit markets worked as classical competitive markets should. In this view, observed high interest rates were a reflection of perfect credit markets that took into account the risks of default (see Stigler 1967). The policy conclusion of this line of argument is not to intervene in rural credit markets, at least not on efficiency grounds. But neither the traditional monopoly nor the perfect markets view can ex- plain other features of rural credit markets which are at least as important and equally puzzling as high interest rates: * The formal and informal sectors coexist, despite the fact that formal inter- est rates are substantially below those charged in the informal sector. * Interest rates may not equilibrate credit supply and demand: there may be credit rationing, and in periods of bad harvests, lending may be unavailable at any price. Table 1. Characteristics of Rural Credit Markets Surveyed in this Symposium Issue Share of formal Mean interest Average Survey regions and sector in total rate by sector' transaction (dollars) period credit (value) Formal Informal Fonnal Informal Zaria, Nigeria, 1987-88 8 -3.6 -7.5 266 51 Nakhon Rachasima Province, Thailand, 1984-85 44 12-14 90 2S4 440 India 1951 7 3.5-12.5 7-35 400b 200b 1961 17 1971 30 1981 61 10-12 22 n.a. 80-345' Chambar, Pakistan, 1980-81 25 12 79 n.a. 284 n.a. Not available. a. All interest rates are nominal and annual except Nigeria's which are real realized monthly rates, and Pakistan's which are real annual rates charged. See the articles in this issue for details on the calculation of these rates. b. Annual borrowings. c. Low figure for Bihar; high figure for Punjab. Sources: Nigeria: Udry (this issue). Thailand: Siamwalla and others (this issue). India: Bell (this issue), plus additional data provided by Bell, drawn from the Reserve Bank of India (1954, vol. 1, part 2, chap. 21, "Regional Data" tables); Bell and Srinivasan (1989, table 2), and Bell, Srinivasan, and Udry (1990). Pakistan: Aleem (this issue). Hoff and Stiglitz 237 * Credit markets are segmented. Interest rates of lenders in different areas vary by more than plausibly can be accounted for by differences in the likelihood of default; and local events-a failure of a harvest in one area- seem to have significant impacts on the availability of credit in local mar- kets. * There is a limited number of commercial lenders in the informal sector, despite the high rates charged. * In the informal sector interlinkages between credit transactions and trans- actions in other markets are common. * Formal lenders tend to specialize in areas where farmers have land titles. Neither the monopoly view nor the perfect markets view can account for these features taken as a whole. An alternative approach is required-one that is better able to help us understand the workings of rural credit markets, and thus help us design appropriate policy interventions. II. THE IMPERFECT INFORMATION PARADIGM In the past decade there have been major advances in our theoretical under- standing of the workings of credit markets. These advances have evolved from a paradigm that emphasizes the problems of imperfect information and imper- fect enforcement. Lenders exchange money today for a promise of money in the future, and take actions to make it more likely that those promises are fulfilled. Lending activity thus entails the exchange of consumption today for consumption in a later period, insurance against default risk, information ac- quisition regarding the characteristics of loan applicants and the actions of borrowers, and an enforcement element to increase the likelihood of repayment by individuals who are able to do so. It is this broadening of the perspective of what is entailed by lending activity that provides the background for the new theories of rural credit markets. This framework guides the four empirical studies in this symposium, and is the foundation for Stiglitz's theoretical analysis of peer monitoring that concludes this issue. The new views of rural credit markets are based on the following three observations: 1. Borrowers differ in the likelihood that they will default, and it is costly to determine the extent of that risk for each borrower. This is conventionally known as the screening problem. 2. It is costly to ensure that borrowers take those actions which make repayment most likely. This is the incentives problem. 3. It is difficult to compel repayment. This is the enforcement problem. The new view holds that it is the markets' responses to these three problems, singly or in combination, that explain many of the observed features of rural 238 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 credit markets, and that they must therefore inform the policy perspective for designing specific interventions. One can distinguish conceptually between two types of mechanisms for re- solving the three problems: direct and indirect. Indirect mechanisms rely on the design of contracts by lenders such that, when a borrower responds to these contracts in his own best interests, the lender obtains information about the riskiness of the borrower and induces him to take actions to reduce the likeli- hood of default and to repay the loan whenever he has the resources to do so. These contracts may be in the credit market itself (in loan terms such as the interest rate and loan size), or they may rely on contracts in related markets (in rental agreements, for example) that will influence behavior in credit markets. Because the interest rate serves the dual function of a price and an indirect screening and/or incentive mechanism, the equilibrium interest rate need not clear the market-there may be credit rationing. Notice, however, that these indirect mechanisms are equally applicable whether there is competition or monopoly in the market. Direct mechanisms rely on lenders expending resources to screen applicants and enforce loans. It follows from this that high interest rates may reflect the high costs of these activities. Perhaps more important, however, these direct mechanisms (through personal relationship, trade-credit linkages, usufruct loans, and so on) lead to a monopolistically competitive structure with interest rate spreads between different segments of the rural credit markets. Moreover, this suggests that the moneylenders' power is unlikely to be broken by the entry of institutional credit, unless the new institutions themselves find substitutes for the direct mechanisms used by moneylenders to overcome the problems of screening, incentives, and enforcement. III. THE THEORY OF INDIRECT MECHANISMS A key feature of credit markets is that for any loan there is a possibility that the project for which it is used will perform so badly that the borrower defaults. In these cases, the lender cannot recover his total outlay, and in fact there are legal provisions in many societies which severely limit the amount that he can recover. The probability of default on a loan thus depends on the probability that the gross return on the project for which the loan is used is less than principal and interest due on the loan. It follows that as projects become riskier, in the sense that the probability of both very high and very low gross returns increases relative to the probability of moderate gross returns, the likelihood of default increases. The lender is hurt by an increase in the riskiness of projects that will be undertaken with his loans. In contrast, the borrower's expected gain from the project will rise. By straightforward extension, the borrower will prefer some projects with lower mean return over those with higher mean return if the former group entails greater risk. Hoff and Stiglitz 239 One consequence of default provisions is that changes in the interest rate may change the mix of projects undertaken by borrowers. This can be seen in the case where borrowers care only for expected net return. At any given interest rate, presumably loan applications would only be submitted for pro- jects with a positive expected net return, taking into account default provisions. For a class of projects with the same mean gross return but differing risk, the interest rate will determine a marginal project with an expected net return to the borrower that is just barely positive. By the above argument, all projects in this class that give the borrower a higher expected net return entail a higher probability of default. An increase in the rate of interest will mean that the marginal project now gives a negative expected net return-the new marginal project is now riskier than before, so that the pool of projects coming from this class is on average riskier than at the lower interest rate. The same argument applies for projects with differing risks at any level of mean gross return. Thus as the interest rate increases, the mix of prospective projects tilts in favor of riskier projects. As Adam Smith put it: "If the legal rate . . . was fixed so high . . . the greater part of the money which was to be lent, would be lent to prodigals and profectors, who alone would be willing to give this higher interest" (Wealth of Nations, 1776). Thus the interest rate can act as a screen which regulates the risk composition of the loan portfolio. A lender cannot ever fully discern the extent of risk of a particular loan, and the pool of applicants for loans at any given interest rate will consist of borrow- ers with projects in different risk categories. The lender knows, however, that the mix of projects to finance changes with the rate of interest. The interest rate takes on the dual function of a price as well as an instrument for regulating the risk composition of the lender's portfolio (Stigler 1987; Stiglitz and Weiss 1981). This can lead to unexpected outcomes. For example, when there is an excess demand for loans at a given interest rate, classical economic analysis suggests that this price would rise to choke off the excess demand. Higher interest rates would raise the lender's returns if they did not greatly increase his risk by increasing the probability of defaults; but at some higher interest rate the greater risk and thus higher incidence of default will offset the increased interest income from the loan portfolio. In that case the lender will choose to keep the interest rate low enough to obtain a favorable risk composition of projects and to ration available loanable funds by other means. Thus, contrary to the operation of markets as they are supposed to work, credit may be rationed with no tendency for the interest rate to rise. In fact, the situation would be even more extreme if lenders did not recognize the effect of interest rates on the risk of their portfolios. Then we might get a process whereby at a given rate of interest the default rate is so high that returns to the lender do not cover opportunity costs of funds, putting upward pressure on the rate of interest. But this only worsens the risk mix. The process goes on until the interest rate is so high that only the riskiest projects, those with the highest probability of default, are being undertaken. It has been argued 240 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 by some writers that processes such as these account for the thinness of many markets (including some types of credit markets) in which the quality (default risk) of the commodity exchanged depends on the price (interest rate), and there is asymmetric information between buyers and sellers (Akerlof 1970). This would suggest that lenders, even in situations of limited competition, cannot raise interest rates so high as to extract all the surplus associated with a loan. The observation that interest rates do not seem to vary much and have not been very sensitive to competition from the formal sector is also consistent with this view of the screening and incentive problems. Reputation Effects and Market Interlinkages A lender may employ two other indirect mechanisms to enhance the likeli- hood that borrowers undertake the actions desired by lenders. First, the lender may use the threat of cutting off credit to induce desired borrower behavior (Stiglitz and Weiss 1983). More generally, borrowers want to avoid defaulting on loans because to do so tarnishes their reputation and curtails their access to future loans. For this incentive to be effective, of course, interest rates cannot be too high, and borrowers must enjoy some surplus from obtaining the loans. This provides another way in which markets with imperfect information are fundamentally different from markets with perfect information: competition does not drive rents to zero. Those who are lucky enough to get loans get a consumer surplus, and that consumer surplus, being denied the unlucky, is in effect a rent. Second, lenders who are landlords or merchants may use the contractual terms in these other exchanges to affect the probability of default. They may interlink the terms of transactions in the credit market with those of transac- tions in the product or rental markets (Braverman and Stiglitz 1982, 1986). For example, a trader-lender may offer a farmer who borrows from him lower prices on fertilizers and pesticides because the probability of default is reduced when such inputs are used. The use of interlinkages as a direct mechanism for solving information and enforcement problems is considered below. IV. DIRECT SCREENING MECHANISMS In addition to using indirect screening mechanisms, most lenders will also use direct screening mechanisms and may monitor borrowers' behavior; they will withdraw credit if the terms of the loan appear to be violated. In develop- ing countries potential lenders vary greatly in their costs of direct screening and monitoring. For some lenders, such costs are low; information is a by-product of living near the borrower or being part of the same kinship group or a party to some other transaction with him. Thus, village lenders often do considerable monitoring, while banks may find it virtually impossible to do so, which partially accounts for the high default rates they face. These differences across Hoff and Stiglitz 241 lenders in the costs of screening and monitoring may lead to segmentation of markets. Geography and Kinship In the area of northern Nigeria surveyed in the article below by Udry, credit markets are almost completely segmented along geographic lines and kinship groups, and information asymmetries between borrower and lender within these markets appear to be negligible. In Udry's survey the rural credit market was very active, but loans between individuals in the same village or kinship group accounted for 97 percent of the value of those transactions (see Udry, table 3). Collateral was seldom used, and credit terms implicitly provided for direct risk pooling between creditor and debtor. That virtually no loans were observed to cross the boundaries of an extremely small social and geographic space, in an environment characterized by highly correlated risk and seasonal demands for finance, points to the high information costs of such transactions and the reliance on kinship and village sanctions as a mechanism for contract enforcement. (Similar evidence for the informal credit market in rural China was found by Feder and others, 1989.) Even in areas in which nonresident lenders and institutions provide a large share of total credit, market segmentation by village and kinship group remains pronounced with respect to consumption loans. Thus Siamwalla and others report in their article below on the temporary collapse of local Thai credit markets in the face of a severe regional shortfall of rain. In such periods, resident lenders' own equity is depleted, but nonresident lenders and institu- tions appear not to be able to form a sufficiently accurate judgment of house- holds' ability to repay to permit them to operate in the consumption loans market. Interlinkages with Other Markets For a given lender, loan applicants with the same wealth and productive capacity will differ in their ability to effectively assure potential lenders of their creditworthiness. Similarly, for a given applicant, lenders will differ in their cost of screening and enforcing loan performance. Besides geography and kin- ship group, a critical source of these differences is the scope of individuals' participation in other markets. Such participation makes possible the interlink- ing of loans with transactions in those markets. Interlinked credit contracts may provide means to alleviate screening, incentive, and enforcement prob- lems. The most widespread form of interlinkage is provided by traders. Lenders who are also nonresident traders and commission agents generally require that their clients sell all their crops to, or through them (see Siamwalla and others; Bell; and Aleem; all this issue). This trade-credit linkage "makes information on the size of the borrower's operations . . . available to the creditor and to no 242 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 one else. This . . . thus closes the borrower's access to other lenders" (Siamwalla and others, this issue). The trader-lender can easily enforce his claim by de- ducting it from the value of the crops sold to, or through, him. In towns with well-organized commodity markets, there may sometimes be cooperation among traders in enforcement. Bell reports (this issue): "In Chittoor . . . a commission agent who dealt in gur (a sugar product) told me that agents frequently know one another's clients. If a farmer attempted to sell through an agent other than the one with whom he normally dealt, the new agent would deduct principal and interest on the loan, basing his calculations on the usual rule of thumb relating the size of the loan to the quantity to be delivered, and hand over the said sum to the first agent." Under some circumstances, however, such trader-provided credit turns out to be limited. Cassava, unlike most other crops, has no fixed harvest period. This makes loan enforcement difficult. Generally, cassava growers in Thailand obtain funds only by selling outright the standing crop (Siamwalla and others, this issue). For this crop, a spot sale to a trader serves as a substitute for trader- financed credit. Bell (this issue) and Siamwalla and others (this issue) argue that trade-credit interlinkages go a long way to resolving the information asymmetry between borrower and lender and the enforcement problem, while they create asymme- tries of information across lenders. Lenders who do not serve as traders for a borrower will not know as much about his productivity and will be in a less favorable position to enforce a loan. Although the incentives problem is not entirely resolved by market interlinkages, the severity of the interest rate-risk tradeoff will be less for lenders who have greater access to inside information and to mechanisms to enforce their claims. Interlinkages may also enable the reputation mechanism to work more effectively; what affects behavior is the total benefits (rent) from a relationship. When an economic relationship entails transactions in several markets, there is scope for greater surplus. Devices that Limit the Consequences of Information Asymmetries and Enforcement Problems Three devices commonly used in rural credit markets in developing coun- tries-collateral requirements, usufruct loans, and rotating savings and credit associations-may be viewed as methods to limit the consequences of informa- tion asymmetries and enforcement problems. Like geography, kinship, and market participation, these devices are available to some borrowers and lenders and not others. Hence, they also have consequences for the sorting of borrow- ers across lenders and for segmentation in rural credit markets. Collateral. In developing countries, banks have found it difficult to screen and monitor borrowers directly; banks, but not informal lenders, therefore rely heavily on collateral, generally in the form of land. For this reason, in Thai- Hoff and Stiglitz 243 land, "the sphere of operation of commercial banks and cooperatives . . . has been almost exdusively in villages where land titles have been issued" (Siam- walla and others, this issue). Because land wealth is correlated with income in rural areas, this finding helps to explain why borrowers with above average income have been found to have greater access to formal sector sources than those who do not. Average per capita income of Thai households borrowing from the formal sector was more than 30 percent above the mean, whereas those borrowing only from the informal sector had average per capita income close to the survey area's mean. Usufruct loans. In one form of usufruct loan, a lender occupies and uses the borrower's land until the principal is repaid. Such loans are transacted in Thailand to finance migration for work abroad. They are viewed as low-risk loans (Siamwalla and others, this issue). As the saying goes, "Possession is nine- tenths of the law." A similar practice, very widespread in Nigeria, is to procure loans by trans- ferring to the lender the right to harvest the borrower's trees. The harvest provides the interest on the lender's loan. Such transactions, which are called tree pledging, occur with cocoa, oil palm, and rubber trees. (Adegboye 1983). Rotating savings and credit associations. Rotating savings and credit associ- ations (ROSCAS) have a long history in developing countries. They predate monetization (Bouman 1983), and they continue to be a major source of credit in African countries (where they are called tontines). In the usual case, a small group is formed from a village or family group where enforcement costs are low because of powerful social sanctions. Each member agrees to pay periodi- cally into a common pool a small sum so that each, in rotation, can receive one large sum. Where individuals need to purchase a high-priced item, ROSCAS provide funds with surprisingly small spreads between the return to savings and the cost of borrowing (Edwards 1989). ROSCAS are thus an example of a credit exchange which improves upon opportunities in the market by drawing on preestablished social ties. Highly successful tontines in Cameroon were recently described as follows: "Tontines, built on trust, are generally made up of ho- mogeneous groups-people from the same ethnic background, the same work- place or the same neighborhood. [One Cameroonian reported:] . . . 'If you don't make your payment to the tontine, you are rejected by the community. If you are banned from one group, you are banned from the others.' Indeed, several years ago, several Bamileke traders committed suicide because they realized that they could not make their tontine payments" (New York Times, November 30, 1987). But in Latin America, ROSCAs have been adapted to a situation where indi- viduals do not know each other. The initiative for forming the group comes from a retailer of durable goods, for example, cars. Let the group be of size N and the durable have price C. The group members are required to come 244 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 together for N monthly meetings to contribute their share of the cost, C/N, into a common pool. At each meeting, the individuals draw lots. The winner takes the pool, buys the car, and becomes ineligible for future drawings, though he must complete his N monthly payments. If he misses a payment, he loses the car. The same would, of course, hold true in a conventional car loan market. But by creating a group of individuals whom the borrower comes to know, and who would be hurt if he defaulted and (at the least) imposed transactions costs on them, the borrower performs more reliably than if the cost were borne only by the lender, with whom the relationship is brief and impersonal. Direct Screening and Enforcement Costs as the Basis for Monopolistic Competition The most important way of limiting information asymmetries is buying in- formation. In his remarkable survey of the operations of moneylenders, Aleem (this issue) found that they devote an average of one day to obtaining infor- mation per applicant and reject one applicant out of every two screened. In addition to screening costs, lenders face costs of chasing delinquent borrowers, maintaining an office and warehouse, paying hired help, and, finally, covering capital costs. Aleem found that screening and enforcement costs are about 14 percent of marginal costs of lending operations. The screening process creates relationship-specific capital between lender and creditor. At any one time, a borrower is likely to have built up such capital with only one lender. For example, more than 80 percent of borrowers sur- veyed by Siamwalla and others reported that they borrowed from only one informal source (Siamwalla and others, this issue; see also Bell, this issue). If a borrower tries to shift to another lender, Aleem found that he needs on average one year to build up creditworthiness with the new lender. In the ten-province household survey of Thailand conducted by Siamwalla and others, 72 percent of informal sector borrowers reported that they had not attempted to borrow from other informal lenders during the past three years; the average period of contact involving credit transactions reported by these 72 percent was close to seven years! (See also Bell.) Of course, more evidence is needed before we can infer that lenders exercise monopoly power over their borrowers. This evidence can be found in Aleem's study. His first finding is that the total average costs of lenders, as a fraction of the amount recovered, was comparable to the average interest rate charged in the survey area. His second finding is that mean marginal costs as a fraction of the amount recovered were much less than the average interest rate charged. These findings suggest strongly that the market is characterized by monopo- listic competition. Each lender faces a downward-sloping demand curve from borrowers tied to him, so that he can price at above marginal cost, but entry of new moneylenders keeps pure profits close to zero by driving the price down to the average cost. Thus, in the usual way of monopolistically competitive Hoff and Stiglitz 245 markets, each lender operates on too small a scale; he spreads his fixed costs over too small a clientele. This view of the market can lead to dramatically different policy conclusions on the effects of cheap institutional credit on rural interest rates, as we shall see in the next section. To conclude, we emphasize the difference between the screening process in the informal credit market described above and the use of the interest rate as an indirect screening mechanism, as discussed in section III above. The first is active and costs resources; the second is passive and works through a process of self-selection. These two types of screening have entirely different effects on interest rates and on the structure of the market. Passive screening is consistent with perfect competition and, as argued in section III, reduces interest rates below the level that would exist if information were perfect. The evidence of Siamwalla and others and Aleem suggests that active screening through invest- ment in information raises the interest rate above the level that would exist under perfect information by increasing the costs of the lender. More impor- tant, active screening makes the credit market imperfectly competitive. V. POLICY PERSPECTIVES Economic Development and the Evolution of Rural Credit Markets We have argued that observed features of rural credit markets in developing countries can be understood as responses to the problems of screening, incen- tives, and enforcement. Of course, these problems do not only arise in devel- oping countries. It can be argued, however, that underdevelopment increases the severity of these problems because of more extensive asymmetries of infor- mation and a more limited scope for legal enforcement, in particular, more limited collateral. Will development, therefore, by itself remove or reduce the imperfections of rural credit markets? Several studies have argued that as development proceeds and average in- come levels increase, the imperfections of rural credit markets should diminish. This argument is supported by evidence from India that rural areas with higher average incomes and farmers whose incomes increase seem to face lower inter- est rates from moneylenders: A high [interest rate] r is the effect of the high-risk premium that the village moneylenders usually charge for lending to the peasants . . . The lack of creditworthiness is really a reflection of the peasants' poor income and meager savings. Hence, the growth of real income and repayment of the farmers should reduce the probability of default and the risk premium, which in turn will reduce r. (Ghatak 1983, pp. 21-22) In a relatively more prosperous district like Burdwan in West Bengal . . . the average rural interest rate for different classes (such as casual laborers, tenants, and agricultural laborers) varied between 36 and 84 percent per annum, while in a relatively poorer district like Nadia . . . the average 246 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 rural interest rates varied between 72 and 120 percent per annum . . . In West Bengal during 1975-1976, moneylenders still remained a major source of agricultural credit. (Ghatak 1983, p. 32) Agricultural technical change does influence the supply of loans . . . Farmers residing in areas characterized by the use and/or provision of new technology appear to benefit in that they face lower moneylender interest rates. This result provides an additional point of leverage for policy-makers: Interest rates can be lowered indirectly through the provi- sion of technical change and investment opportunities and need not be lowered directly through costly subsidies to some borrowers in the formal credit market. (Iqbal 1988, p. 375) The argument above relies on the observation that as productivity and in- comes increase, the risk of default decreases. But the articles in this issue suggest that the link between development and credit markets is somewhat more complex. Screening, incentive, and enforcement problems in credit markets are often mitigated through interlinkages between the credit market and other markets, (for example, land and commodity markets). The creation of a dense network of market interactions, which we would expect as development proceeds, low- ers screening and enforcement costs. Legal developments such as land titling, in conjunction with the individualization of land rights as commercialization proceeds, allow land to be used as collateral, which in turn expands the scope of credit markets. As technological change disrupts traditional ties in a developing economy, however, the strength of social sanctions in enforcing credit repayments may decrease. This role of social ties is documented by case studies in this issue and elsewhere. Thus, as social ties break down in the wake of development, but before a dense network of interactions across markets has been built up, the imperfections of rural credit markets may well get worse before they get better. Because development by itself is unlikely to take care of the imperfections of rural credit markets in the short run and medium run, policy intervention may be called for. In fact the argument has been that the imperfections in rural credit markets, particularly their characteristically high interest rates, may themselves be an impediment to development. We will now discuss and evaluate the policy responses to this problem. Government Intervention and Credit Subsidies Because enforcement (or lack of it) is one of the problems in rural credit markets, it might be argued that the government as a lender has advantages the private sector does not: it has the ability to extend or cut off credit subsidies (using general revenue), and it has at least a legal monopoly on the use of force. The experience of many developing countries (and some developed ones) sug- gests that the government is often politically unable to use the latter advantage. Hoff and Stiglitz 247 Thus Bell notes that there is a view, widespread in rural India, that institutional loans are really grants: "politicians regularly vie with one another in promising, if elected, to have such debts forgiven." Harriss (1983) reports that "during the election caimpaign of 1972 [in North Arcot] farmers were 'promised' that a vote cast in the right direction would write off a loan." In Thailand, farmers' associations, groups of 50-100 farmers formed hurriedly in 1975 by the De- partment of Agriculture, have the worst repayment record: "Because their formation was politically motivated, their members tend to be rich and influ- ential and, precisely for that reason, their repayment rate was poor" (Siamwalla and others). In Pakistan, the political cost of foreclosing on debtors with collateral is significant. Aleem reports that while default rates in the formal sector were 30 percent, for the informal lenders the mean delinquency rate was 15 percent and the mean cumulative rate of nonrepayment was only 2.7 percent. In view of this accumulated evidence, the argument for direct credit supply by the government as a means of relieving enforcement problems must be questioned. What is left, then, is the fact that the government can supply cheap credit. What is likely to be the effect of this on the rural informal credit market? The available evidence, as documented in the case studies in this issue and elsewhere, certainly does not suggest either that cheap credit will drive out informal sector moneylenders, and it may not even drive down interest rates charged by them. The theoretical framework of the imperfect information paradigm allows us to understand this policy failure. If some borrowers have direct access to cheap funds from government insti- tutions, and can satisfy all their borrowing needs from this source, there will of course be less demand for credit in the informal sector. If rural credit markets behaved like classical markets are supposed to behave, this would exert down- ward pressure on interest rates. But we know that rural credit markets do not behave in this fashion. If the interest rate plays a screening role in the presence of imperfect information and this leads to credit rationing at a fairly high interest rate, it is unlikely that the interest rate will fall. Conversely, if money- lenders engage in direct screening, those moneylenders with the highest screent ing costs will drop out of the market and interest rates may be expected to fall. If borrowers cannot fully satisfy their needs from government institutions,! then it matters whether formal sector loans are treated as senior or junior debt relative to informal sector loans. If the formal sector has seniority, the informal sector loans in effect become riskier, which may lead to an increase in the informal sector interest rate. To make matters worse, in monopolistically com- petitive settings, when there is active screening, the screening costs must be allocated among smaller loan sizes, which raises average costs and interest rates. By contrast, if the formal sector loans are treated as junior debt, the effect on informal sector credit is ambiguous. The greater borrowing that results from access to lower rates increases (at any given level of informal sector loans and interest rates) the default risk, but a disproportionate fraction of the 248 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 default risk is borne by the formal sector. Unequal access to formal sector funds may have further implications for the informal sector. If formal sector loans go toward larger borrowers with more collateral, and the evidence sug- gests that they do, then the mix of applicants among which the informal sector has to screen changes adversely, and this might increase the interest rates charged there. If formal sector loans do not go directly to borrowers, but instead to money- lenders who act as financial intermediaries, the effects depend on how the costs of informal lenders change and on how the level of competition in the informal sector changes. If privileged access to government funds increases entry, and therefore increases average costs in moneylending because the costs of screening borrowers are now being spread over the smaller clientele, then interest rates will tend to rise for this reason. This is another example of the implications of monopolistic competition in rural credit markets. More generally, the imperfect information framework alerts us to the diffi- culty of relying on financial intermediation to resolve the problems in rural credit markets. Although the case studies in this issue present evidence that moneylenders do borrow from each other in the same village and across vil- lages, screening, incentive, and enforcement problems limit the extent of these transactions. Formal sector institutions also face these information and enforce- ment problems in relation to moneylenders. Aleem, Bell, and Siamwalla and others show the limited extent of financial intermediation between the formal and informal sectors. Institutional Innovation and the Role of Public Policy We have seen that the paradigm of imperfect information and costly enforce- ment stands in contrast to the traditional debate on monopoly versus perfect markets. On the one hand, it argues that rural credit markets do not behave like classical competitive markets are supposed to, so that there is no presump- tion that they are efficient. On the other hand, both theory and evidence suggest that high interest rates are not necessarily, or even primarily, a reflec- tion of the monopoly power of the village moneylender. Rather, rural credit markets behave the way they do because of the problems of screening, incen- tives, and enforcement. These problems may suggest that government intervention is called for, and that it may be successful. But both theory and evidence caution us against any simplistic view of the government's role, because government credit institutions face these same problems in relation to borrowers. In fact, they may be in a worse position in terms of informational asymmetry, monitoring, and enforce- ment. Is there, then, any role for public policy? Greenwald and Stiglitz (1986) have recently shown that markets with imperfect information give rise to externality- like effects, for which government intervention may be most successful. In the context of credit markets, one externality is the reduction in information costs brought about by development in other markets. Examples are land titling and Hoff and Stiglitz 249 commercialization in goods markets. More generally, government expenditure on rural infrastructure that reduces farmers' risks will likely reduce the impor- tance of information asymmetries, improve the level of competition, and there- fore reduce the distortions in rural credit markets. Another type of externality may reside in institutions which facilitate the overcoming of informational problems in rural credit markets. One such insti- tution is that of small-scale peer monitoring, and the article by Stiglitz in this issue analyzes a model of this activity. Individuals form a small group which is jointly liable for the debts of each member. The group thus has incentives to undertake the burden of selection, monitoring, and enforcement that would otherwise fall on the lender. Of course, this entails an inefficiency because a small group has a lesser ability to bear risk than a lender with a large and diversified portfolio. But Stiglitz shows that under certain circumstances the benefits more than outweigh the costs. There is, however, an externality in this institutional innovation. An individual who bears the initial cost of organizing such an institution is providing a form of social capital from which all members of the group will benefit. As is well known, when this type of externality arises there will be an undersupply of the socially beneficial service, and there is therefore a role for the government to help organize and act as a catalyst in the formation of such institutions. As Huppi and Feder (1990) have noted in a recent review of group lending, there are notable successes when the govern- ment has acted in this way. VI. CONCLUSIONS Above all, the studies in this issue and the theoretical literature out of which they have grown show that we can look into the black box that was once referred to simply as "imperfect credit markets." We can assess the nature and sources of those imperfections, and we have a framework for assessing the consequences of alternative government policies. A rich research agenda lies ahead of us: to investigate the extent to which the findings of these studies can be generalized to other countries, to explore more deeply the effectiveness of the variety of institutions and mechanisms that can screen and monitor loan applicants which were touched upon in this article, and to evaluate the conse- quences of a variety of government interventions in credit markets, taking into account the information asymmetries and enforcement problems which are endemic in developing countries. REFERENCES Adegboye, R. 0. 1983. "Procuring Loans by Pledging Cocoa Trees." In J. D. Von Pischke, Dale W. Adams, and Gordon Donald, eds., Rural Financial Markets in Developing Countries. Baltimore, Md.: Johns Hopkins University Press. Akerlof, George. 1970. "The Market for Lemons: Qualitative Uncertainty and the Market Mechanism." Quarterly Journal of Economics 84: 488-500. 2S0 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 Bell, Clive, and T. N. Srinivasan. 1989. "Interlinked Transactions in Rural Markets: An Empirical Study of Andhra Pradesh, Bihar and Punjab." Oxford Bulletin of Economics and Statistics 51, no. 1: 73-83. Bell, Clive, T. N. Srinivasan, and Christopher Udry. 1990. "Agricultural Credit Mar- kets in Punjab: Segmentation, Rationing and Spillover." Economic Growth Center, Yale University. Processed. Bouman, F. J. A. 1983. "Indigenous Savings and Credit Societies in the Developing World." In J. D. Von Pischke, Dale W. Adams, and Gordon Donald, eds., Rural Financial Markets in Developing Countries. Baltimore, Md.: Johns Hopkins Univer- sity Press. Braverman, Avishay, and Joseph E. Stiglitz. 1982. "Sharecropping and the Interlinking of Agrarian Markets." American Economic Review 72, no. 4 (September): 495-615. . 1986. "Landlords, Tenants and Technological Innovations." Journal of Devel- opment Economics (December). Edwards, John H. Y. 1989. "Rotating Credit Associations and Lotteries as Financial Instruments for the Poor." Tulane University. Processed. Feder, Gershon, Lawrence J. Lau, Justin Y. Lin, and Xiaopeng Luo. 1989. "The Nascent Credit Market in Rural China." Agricultural Policies Division, Agriculture and Rural Development Department, World Bank. Processed. Ghatak, Subrata. 1983. "On Interregional Variations in Rural Interest Rates, Journal of Developing Areas 18 (October): 21-34. Greenwald, B., and Joseph Stiglitz. 1986. "Externalities in Economies with Imperfect Information and Incomplete Markets." Quarterly Journal of Economics (May): 229- 64. Harriss, Barbara. 1983. "Money and Commodities: Their Interaction in a Rural Indian Setting." In J. D. Von Pischke, Dale W. Adams, and Gordon Donald, eds., Rural Financial Markets in Developing Countries. Baltimore, Md.: Johns Hopkins Univer- sity Press. Huppi, Monika, and Gershon Feder. 1990. "The Role of Groups and Credit Coopera- tives in Rural Lending." World Bank Research Observer 5, no. 2 (July): 187-204. Iqbal, Farrukh. 1988. "The Determinants of Moneylender Interest Rates: Evidence from Rural India." Journal of Development Studies 24, no. 3 (April): 364-78. Reserve Bank of India. 1954. All-India Rural Credit Survey. Volume 1, The Survey Report (part 1, "Rural Families"; part 2, "Credit Agencies"). Bombay. Stigler, George J. 1967. "Imperfections in the Capital Market." Journal of Political Economy 75, no. 3: 287-92. . 1987. "The Causes and Consequences of the Dependence of Quality on Prices." Journal of Economic Literature 25 (March): 1-47. Stiglitz, Joseph, and Andrew Weiss. 1981. "Credit Rationing in Markets with Imperfect Information." American Economic Review 71, no. 3 (June): 393-410. . 1983. "Incentive Effects of Termination: Applications to the Credit and Labor Markets." American Economic Review 72: 912-27. . Forthcoming. "Banks as Social Accountants and Screening Devices and the General Theory of Credit Rationing." In Essays in Monetary Economics in Honor of Sir John Hicks. Oxford, England: Oxford University Press. THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3: 251 -269 Credit Markets in Northern Nigeria: Credit as Insurance in a Rural Economy Christopher Udry This article addresses the issues of incomplete markets and imperfect information in the context of credit markets in rural northern Nigeria. In much recent theoretical literature, the problems of moral hazard and adverse selection are assumed to be decisive for the organization of agrarian institutions. In contrast, it is found that in the four villages surveyed credit transactions take advantage of the free flow of information within rural communities. Information asymmetries between borrower and lender are unimportant, and their institutional consequences-the use of collateral and interlinked contracts-are absent. Credit transactions play a direct role in pooling risk between households through the use of contracts in which the repayment owed by the borrower depends on the realization of random production shocks by both the borrower and the lender. The analysis of rural markets and institutions in developing countries has been transformed through the application of the theory of economic behavior under conditions of incomplete markets and imperfect information. Nowhere is this more evident than in the literature on rural credit markets.' This literature emphasizes that because complete insurance markets are absent, credit trans- actions take on a special role in allowing individuals to smooth income shocks over time (see, for example, Eswaran and Kotwal 1989). It also emphasizes that because moral hazard and adverse selection are especially prevalent in credit transactions, credit markets are likely to incorporate organizational fea- tures that serve to mitigate or accommodate the problems caused by these information asymmetries. 1. See Bell (1988) and Bardhan (1989) for comprehensive bibliographies. The author is a professor of economics at Northwestern University. He is grateful to Kaushik Basu, Robert Evenson, Karla Hoff, Barbara O'Brien, Dayo Phillip, T. N. Srinivasan, John Strauss, Duncan Thomas, and three anonymous referees for their comments and advice. He received valuable advice from the members and chairman of the Department of Agricultural Economics and Rural Sociology, Ahmadu Bello University, where he was a visiting Research Fellow. This material is based upon work supported by the National Science Foundation (grant SES-8618906), the Social Science Research Council, the Fulbright-Hays Research Abroad program, and the Yale Center for International and Area Studies. © 1990 The International Bank for Reconstruction and Development / THE WORLD BANK. 251 252 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 Two organizational features have received particular attention in the litera- ture on credit markets. The first is the pledging of collateral.2 Collateral pledged in exchange for the receipt of a loan directly reduces the cost to the lender of a default on a loan; it can reduce the moral hazard associated with lending by providing an added incentive for the borrower to repay; and it can alleviate the problem of adverse selection by screening out those borrowers most likely to default. The second institution is contractual interlinkage between markets. An inter- linkage exists if two parties engage in transactions in more than one market and the terms of each transaction are set in a single contract.3 The literature concerning this contractual form has grown to the point at which "the ubiquity of interlocking transactions is now widely acknowledged" (Hart 1986, p. 177). An interlinked transaction may be a disguised form of collateral. For example, the forward sale of standing crops (a product-credit market interlinkage) is often most easily interpreted as the pledging of those crops as collateral. Alter- natively, the interlinkage may serve to reduce moral hazard or adverse selection by permitting the use of the contractual terms in one transaction to alter an agent's behavior in another.4 This article extends contemporary research on credit markets to rural credit in Africa by reporting findings from a detailed survey of 198 households in northern Nigeria. The survey yields two major findings. First, nearly all loans are transacted within a village or kinship group. I present evidence that infor- mation asymmetries within such groups are unimportant. The quantitative unimportance of collateral and contractual interlinkage is evaluated in section III of this article as part of a broader description of the information environ- ment surrounding credit transactions in the survey villages. Second, I establish (in section IV) that credit contracts play a direct role in pooling risk among households in the survey area: the repayment owed by a borrower depends upon the realization of production and consumption shocks by both borrower and lender. In preparation for the discussions of information asymmetries and risk man- agement in sections III and IV, section I describes the survey area and survey techniques. Section II outlines the procedure through which credit contracts are made and enforced in the study area and presents summary statistics on credit transactions among the sample households. 2. See Chan and Thakor (1987). For a different approach, see Gangopadhyay and Sengupta (1987). 3. "Interlinked transactions qualitatively differ from the anonymous and systemic interdependence of economic action in competitive general equilibrium theory, and are more in the form of package deals, with the terms of one transaction contingent upon the terms in another" (Bardhan 1989, p. 237). See Bell and Srinivasan (1989) for a recent empirical study. 4. Bardhan (1989, p. 86) describes one mechanism by which this might occur: "An interlinked system of personalized transactions may serve the function of reducing some of the market costs of work monitoring, contract enforcement, and of search by making the possible discovery of dishonesty or shirking by an agent in one transaction too costly for him in terms of spillover effects threatening other transactions." Udry 253 I. THE GEOGRAPHICAL SETTING From February 1988 to February 1989, I undertook a survey designed to extend contemporary research on economic behavior in the absence of perfect information and complete markets to the analysis of rural credit in Africa. A two-stage random sampling procedure yielded fifty households in each of four randomly selected villages near the city of Zaria in a semi-arid area of Kaduna State in northern Nigeria.5 The size of the sample was kept small in an effort to ensure high-quality data on matters that are notoriously sensitive. The survey consisted of a series of monthly interviews with each of the household heads and (separately) his wives. The questionnaires were designed to yield a complete picture of each household's asset and debt position; an account of its credit, labor, product, asset, and asset-rental transactions over the previous month; and a range of demographic and background data. Consumption and income data were not collected. The demarcation of an appropriate unit of analysis is often difficult; this is particularly true in northern Nigeria.6 I adopted the traditional approach of empirical researchers in northern Nigeria and de- fined the household as "those people eating from one pot" (Norman and others 1976, p. 7). To be a member of the household, an individual had to eat the household food for the six-month period between two demographic question- naires included in the survey. The Zaria area is in the heart of one of the most dynamic and promising agricultural regions of Africa. It receives an average of 1,100 millimeters of rain per year during a wet season that lasts approximately 160 days. Rain-fed agriculture predominates, though there is also dry-season irrigated farming on lowlands bordering streams (fadama). Over the past decade there have been significant changes in cropping patterns (in particular, a marked shift to the use of hybrid varieties of maize) and inputs (an expansion of the use of chemical fertilizers) (Balcet and Candler 1982). The use of bullock and tractor plowing has become more prevalent, though they are still used by a minority of farmers.7 There is a moderate degree of involvement in the market both for the pur- chase of agricultural inputs and the sale of output. A total of 73 percent of the sample households produce vegetables and nonfood cash crops for the market, and 53 percent of all labor used on the sample household farms was wage 5. Two households had to be dropped during the course of the survey, leaving a final sample size of 198 households. 6. There is a large literature on Hausa family structure in which the fluidity and indefiniteness of household boundaries are documented. See especially Watts (1983), Guyer (1981), Raynaut (1977), Nicolas (1974), Goddard (1973), and Buntjer (1969). 7. Neither animal traction nor tractor plowing was in use during Norman's 1966-67 survey of three villages in the same area (Norman 1972). Currently, 15 percent of cultivated area (7 percent of plots) is plowed at least once by a tractor, and another 14 percent (9 percent) by bullock plow. Longhurst (1985) found heavier use of animal traction (45 percent of cultivated area) in a 1976 survey of one village near this area. 254 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 labor. A total of 95 percent of cultivated land was treated with modern chem- ical fertilizers. The area has a diverse population, with agricultural systems ranging from farmers who keep no cattle to semisettled herders. Every household in the research villages operates a farm, which is usually composed of multiple plots (an average of five plots per household) interspersed with those of other village residents. Two to five different crops are generally intercropped on each plot. A large variety of nonagricultural occupations also exists. These include trad- ing, the provision of transport services (via vans, motorcycles, bicycles, or donkeys), and small-scale industries such as carpentry, house building, and tailoring. The settlements are nucleated rather than dispersed, and the Table 1. Summary Data for the Households Studied (n = 198) Standard Characteristic of household Sample mean deviation Size 6.2 3.3 Males aged 10-60 2.5 1.6 Household head 1.0 All children over 10 .9 1.3 Other males over 10 .6 1.0 Females aged 10-60 1.8 1.2 Wives 1.5 .8 Children over 10 .3 .7 Young children 3.1 2.3 The elderly .3 .5 Age of head 41 12.6 Land Operational holdings (hectares) 3.8 4.3 Uplands 3.3 4.0 Fadama .5 1.0 Owned (hectares) 3.6 5.1 Uplands 3.2 4.7 Fadama .4 1.0 Value of livestock (naira) JuLly 4,185 22,501 Excluding 2 Fulani households 2,700 7,884 Value of grain holdings (naira) August 597 114 January 5,058 978 Daily male agricultural wage (naira) 19 47a Loan size (naira) (n = 821) 291 719 Household totals, over survey period (naira) Gross borrowing 352 1,015 Gross lending 596 2,679 Note: The exchange rate ranged from $1 = N4 in February 1988 to $1 = N7 in February 1989. a. The high variability results from seasonal changes in the wage rate. Source: Survey data, available at a nominal reproduction charge upon written request to the author. Udry 255 four villages included in the study range in size from 138 to 916 households. See table 1 for summary data concerning land holdings and household demographics. A large majority of the population of the area is Moslem, as are all but one of the 198 sample households. This fact has particular importance for a study of rural credit because Islamic law prohibits the use of fixed interest charges on loans. Investment income is prohibited. if the investor does not share in the risks of the enterprise. Hence an equity investment is legal, whereas lending with a fixed interest rate is not. Fixed repayment periods are also prohibited: "And if the debtor is in difficulty, then [there should be] postponement to a time of ease" (Koran 2:280). The vigor with which these prohibitions are enforced is not clear. As documented below, almost no loans between individ- uals are made with positive explicit fixed interest rates. When asked to explain this pattern, all the respondents referred to Shari'a law. Yet individuals display no reluctance to accept loans from banks at low (but positive) fixed nominal interest rates. II. CREDIT TRANSACTIONS The survey data support the conventional wisdom concerning the scarcity of formal sector credit in rural Africa. Only 7.5 percent of all loans (by value) come from banks, companies, or projects. The most numerous of these were in-kind loans from the Nigerian Tobacco Company, which was promoting the cultivation of tobacco in one of the four villages. There is widespread partici- pation, however, in both borrowing and lending in the informal credit market, as can be seen in table 2. On average, loans are held for just under three months (see figure 1). The peak borrowing period occurs near the start of the main growing season, and many loans are repaid after the first crops are harvested. The average amount of credit transacted per household over the survey year 1989-90 was approximately N1,000. This figure is of the same order of magnitude as the mean value of grain holdings when they reach their minimum just before harvest, N652. The loans, therefore, are of a scale and timing associated with short-term consumption and working capital needs. Both borrowing and lending tend to increase with wealth, as can be seen in figure 2. Table 2. Participation of Households in Borrowing and Lending (percent) Did not Did Household borrow borrow Did not lend 10 15 Did lend 25 SO Note: Proportion of households in each cell; n = 198. Source: Survey data, available at a nominal reproduction charge upon written request to the author. 256 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 Figure 1. Length of Loans 120 - . 100 _ 80 60 60 40 20 - o Length of loan in months Figure 2. Credit and Wealth 1,400 - Lending 1,000 I 7 800 E 600 40 on 200 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000 9,000 Nonland wealth (naira) Udry 257 The median (nominal) realized monthly rate of return on loans is zero, and the mean nominal monthly return (weighted by value) is -3.8 percent.8 After excluding those loans for which there is evidence that a default has occurred, the mean (nominal) rate of return rises to only -3.0 percent. Average monthly inflation in Nigeria over the relevant period was 3.7 percent,9 so the average real monthly return on these loans was -7.5 percent. These figures, however, obscure large variations in realized interest rates. Figure 3 reports the distribution weighted by loan value. It shows that on about one-fifth of the amount lent, realized nominal monthly interest rates exceeded 7.5 percent (or 3.8 percent in real terms). There is no statistically significant difference between the returns realized on loans between relatives and on other loans. There is also no clear relationship between the length of time over which the loan was held and the monthly interest rate (see figure 4). These loan transactions appear to be extreme in their informality. They generally occur in private, with no witnesses and no written record. They are almost always made and repaid in cash. Although the borrower and lender negotiate over the size of the loan, most (84 percent of transactions) are made without setting an explicit (nominal) interest rate or repayment date. When an explicit interest rate is set, it is almost always set at zero (15 percent of all loans). The realized rate of return on these putatively zero (nominal) interest loans, however, is no more likely to be zero than on other loans and is often quite high."0 The borrower and lender, therefore, only implicitly agree on the terms of the loan. The fact that these transactions are loans is explicitly acknowledged, and mechanisms exist which serve to enforce the implicit obligations of both par- ties. The simplest and most direct penalty for a default is the exclusion of the defaulter from future opportunities to borrow from the lender. This type of mechanism has been analyzed extensively in the literature on repeated games, and it is implemented in the case of defaults on these loan transactions (see Kreps 1990, chap. 14, for an introduction). There is more than one lender available to most borrowers, however, so this particular penalty may have little force. Alternative mechanisms for enforcing credit obligations are available through appeal to community authorities. The respondents reported that the response to a perceived default was negotiation with the borrower's family, a religious leader, or the village head. Recall that the terms of the loan are only 8. The monthly return is calculated only for those loans on which some repayment has been made and for which there is no explicit promise to repay more. Returns are calculated for 71 percent of the 821 recorded loans. 9. Data from the first quarter of 1988 to the first quarter of 1989, from IMF (1989). 10. Respondents who reported an interest rate explicitly set at zero seem to have heen victims of an insufficiently flexible questionnaire. Several such respondents explained to me that, as they had told the enumerator, the amount to be repaid would be exactly the amount borrowed. After further questioning, however, they acknowledged that under different future circumstances, repayments would either exceed or fall short of the initial loan value. 258 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 Figure 3. Distribution of Returns 160 - 140 120 - C a 100 -~80 -~60 40 20 Nominal monthly return (percent) Figure 4. Term Structure of Returns 0.10 -00 E D 0.10 -02 -0.25 1 2 3 4 s 6 >6 Length of loan in months Udry 259 implicit, so the response to a default must consist of at least two stages: first, the lender must convince the authority that the borrower has not met his obligations; and second, the authority must impose a penalty. Both steps de- pend heavily on the fact that for the vast majority of these loans, borrower and lender are members of the same small community. The authority's decision as to whether a breach of an implicit contract has occurred must rest on the statements of the two parties involved. He must take into account the possibil- ity of deliberate deception as well as of misunderstandings over the terms of the contract." As a member of the same community, the authority is able to consider the reputations of both parties for honesty in previous activities in all markets and, more generally, in all types of social activity. The penalties invoked by the authority also depend on his position as a respected figure in the community. In many cases, the possibility that he might disapprove of one's activities is sufficient to prompt a potential defaulter to meet his obligations. The possibility that he might make his finding public, either to other authority figures or to the community at large (through gossip), is a stronger incentive to meet obligations. Both of these penalties apparently impose a cost on the defaulting party. If his honesty is impugned, the defaulter may be excluded from future credit transactions, and his ability to transact in other markets may be damaged as well. Private negotiation with (and admon- ishment from) an authority figure was the only penalty imposed on any of the sample households during the survey period; no dispute over loan repayments was made public. III. THE INFORMATION ENVIRONMENT Since formal sector lenders are almost completely absent from the study area, the information flows of concern are between individuals who lend to each other. These parties are, with very few exceptions, well known to each other: 97 percent of informal sector loans by value are between residents of the same village or between relatives (see table 3).*2 A total of 65 percent of the remain- ing informal sector loans occur between individuals who share a long history of exchanging gifts or a long history of previous credit transactions.'3 The respondents claimed that they knew their transaction partners well. Respon- dents were asked to give an account of unexpected occurrences on their trans- action partners' farms and of nonregular expenditures (such as ceremonies or medical expenses) by their partners. For 82 percent of the 808 private loan transactions, the respondents were able to provide such an accounting. 11. Male pronouns are appropriate in this context because most borrowers and lenders and virtually all authorities to whom disputes are referred are men. 12. Only loans across households are counted as transactions; loans between members of the same household are excluded from the data. 13. A history of previous gift exchanges or credit transactions was defined as "long" when respon- dents reported more than three transactions extending over more than three years. 260 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 Table 3. Relationship between Borrowers and Lenders (percent) Related by Not related Residency kinship by kinship Residents of the same village 37 55 Residents of different villages 5 3 Note: Proportion of loans, by value, in each cell; n = 808. Loans from banks and companies are excluded. Source: Survey data, available at a nominal reproduction charge upon written request to the author. This direct evidence that information flows freely between borrowers and lenders is complemented by the lack of indirect evidence of information asym- metries. The special contractual forms that are used in other situations to ameliorate the problems of moral hazard and adverse selection are not common in northern Nigeria. The first question I investigated was the possibility that collateral was used to secure these loans.'4 Almost all households own some land, and although land sales are prohibited by statutory law, each of the sample villages has active land sales markets. A total of 34 percent of all land owned by sample house- holds was acquired through market transactions. These transactions are not limited to within the village; one-fifth of the land purchased by sample house- holds was acquired from individuals who were neither residents of the same village nor relatives. Land, therefore, is available to serve as a collateral asset."5 However, collateral (usually land) is used in only 3 percent of the loans ob- served. The distinguishing feature of the few loans for which collateral is used is their size; the average size of a loan involving collateral is N634, as opposed to an average size of N276 for unsecured loans. Loans involving collateral are just as likely to be between members of the same family as are other loans, and respondents are even more likely to be able to provide an accounting of events on their transaction partners' farms when the loans involve collateral (96 per- cent of the cases) than when they are unsecured. Contractual interlinkages, discussed above, have also been hypothesized to be common adaptations to the moral hazard implicit in many loan transactions, and empirical studies by Siamwalla and others and Bell in this issue document their high incidence in Asia.'6 In these data, however, there is no evidence of interlinkage of the credit market with the land, labor, or product markets. A necessary condition for the presence of interlinkages between the credit market 14. Hill (1982) documents some use of collateral in other parts of northern Nigeria. 15. See Feder and Feeny (forthcoming) for a discussion of the suitability of land as collateral. See Hill (1982) and Shenton (1985) for details on the history and legal basis of land sales in northern Nigeria. 16. See Clough (1981, 1986) for evidence that market interlinkages are used for credit in some markets of northern Nigeria. Udry 261 and other markets is the coincidence of transaction partners across pairs of markets. 17 Product market transactions generally occur in markets in nearby, larger villages. Out of 1,150 product market transactions recorded, 96 percent were made with traders in the market with whom the household member had no other connection. Only 0.5 percent of the product market transactions occurred between parties who had engaged in a credit transaction previously. Land and labor transactions occur mainly within the village, so some overlap with credit transactions is to be expected. The overlap that I found is no more than what would be expected given random assignments of transaction partners within the village. Each household had, on average, 3.65 credit transactions within the village during the sample year, whereas the average size of the four villages is 366 households. Clearly, the proportion of the village with which an average household has ever engaged in a credit transaction is higher than 1 percent; unfortunately, no data are available concerning past loans that had been repaid before the start of the survey. Of 1,920 recorded labor transac- tions, only 1 percent occurred between individuals who had ever lent to or borrowed from each other. Of 323 land rentals, only 3 percent previously had shared a credit transaction. The information asymmetries that may drive market interlinkage and collat- eral use in other contexts do not seem to be present in this set of loans. This does not imply that the pattern of information availability is unimportant for the structure of the credit market. Information flows freely between borrowers and lenders within an extremely small geographic or social space. The fact that almost no loans are observed to cross the boundaries of this space is an indication of the advantages held by family members and village co-residents in the availability of either information or enforcement mechanisms. IV. RISK POOLING Wherever insurance markets are incomplete, credit markets are known to play an important role by allowing risks to be pooled over time; households borrow more when they suffer an adverse shock, and they lend more when favored with a positive shock. The free flow of information within the village and among relatives may permit credit contracts to play a more direct role in insuring against risk. A striking finding is that repayments owed on a loan appear to depend upon the random production and consumption shocks re- ceived by both the borrower and the lender."8 Such state-contingent contracting would allow households to pool risk more efficiently and would permit credit 17. An anonymous referee points out that the coincidence of transactions is not sufficient to establish the existence of interlinkages because transactions costs might make simultaneous contracting in more than one market optimal, even if the terms of the different contracts are set independently. 18. Actual repayments of loans will generally depend on the random shocks received by the bor- rower, as long as defaults are possible. Here, owed repayments are at issue. 262 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 transactions to conform to the Islamic prohibition of fixed interest charges. The easy availability of information implies that a lender need not engage in statistical inference in order to detect a default on a state-contingent contract, because the degree of compliance with the contract is known to both parties. I hypothesize that these credit contracts are contingent upon random produc- tion and consumption shocks that are observable to the borrower, the lender, and to the community authorities who will enforce the obligations of both contracting parties. Examples of such events are flooding, wind damage to crops, or insect infestations on the production side, and medical problems on the consumption side. If these events are common knowledge to the commu- nity, then the enforcement of contracts which are contingent upon their reali- zation poses no special difficulty. If the occurrence of these events is exogenous to the agents' actions, or if the actions which affect their probability of occur- rence are observable, then no moral hazard issue arises. The institutional framework within which these contracts are made and enforced is well suited to state-contingent contracting. As noted in section II, contractual terms are set implicitly and are enforced by community leaders. At least two distinct types of state-contingent contracting could be supported in this environment. The first would permit renegotiation of loans after the reali- zation of any random shocks. With rational agents this is equivalent to explicit ex ante state-contingent contracting, and can be enforced provided that the realization of the shocks is common knowledge. Second, there may be implicit but commonly known community standards which require adjustments to loan repayments depending upon the realization of the random shocks. This type of contract would limit the flexibility of the borrower and lender in making the loan contract, but would economize on transaction costs and integrate well with the community-based enforcement mechanisms. In this section I will focus on establishing a case for the presence of state-contingent contracting; I will not attempt to distinguish between these alternative mechanisms through which it may be achieved. Striking preliminary evidence in support of the hypothesis of state-contingent terms is revealed by data on the willingness of the lender to enter into another credit contract with the borrower. If the enforcement mechanism for these contracts includes the exclusion of defaulters from future borrowing, then data on the future availability of loans should provide information on the incidence of default. If contracts are not state-contingent, then a judgment that a bor- rower has defaulted depends upon the realized interest rate (and, of course, on the unobserved promised terms), but not on the state of nature conditioned on the realized interest rate. However, as shown in table 4, for a given realized interest rate, a borrower is less likely to be considered in default if he was subject to an adverse production or consumption shock. The simplest form of this loan contract, in which repayments depend upon the outcome of a particular project, is analogous to sharecropping in the land market. More generally, both parties may understand that if the debtor house- Udry 263 Table 4. Defaults by and Shocks to Borrowers Realized monthly nominal return, r Loan r<0 r=0 O0.05 Total loans (number)- 108 194 147 140 Of this total, those in default (number) 16 20 6 2 (percent) (15) (11) (4) (1) Loans (number) for which borrower subject to an adverse shockb 38 118 19 41 Of this total, those in default (number) 1 2 0 0 (percent) (2) (2) (0) (0) Loans (number) for which borrower not subject to an adverse shock 70 76 127 99 Of this total, those in default (number) 15 18 6 2 (percent) (22) (24) (5) (2) Note: The difference between the within-interval proportions is significant at the 0.01 level, using the following test: Let psi,, i = 1, . . . , 4 be the proportion of borrowers who received no shock who are judged to be in default as indicated by the statement that no further loans will be available. Let p,, be the similarly defined proportion of borrowers who received a shock who are judged to be in default. A chi-square test of the hypothesis that pi., = pi,, for i = 1, . . . , 4 against the open alternative yields a test statistic of 30.57. The hypothesis is rejected at the 0.01 level. a. All loans are weighted by value. b. A borrower is judged to have received an adverse shock if he reported an unexpected adverse event on any of the fields he farms during the term of the loan. Common events were flooding, wind damage, or infestation by insects. A borrower who is not a respondent (that is, the respondent was the lender) is judged to have received an adverse shock if the respondent reported that an unexpected, serious event occurred in the borrower household during the term of the loan. Common events include those just mentioned, as well as medical problems, rain damage to houses, and other "household emergencies." Source: Survey data, available at a nominal reproduction charge upon written request to the author. hold's economic fortunes are good, the loan will be repaid with a relatively high interest rate; but if the household suffers an unexpected negative shock, the interest rate will be lower. The survey data show that realized interest rates are lower and repayment periods are longer for debtor households who have experienced adverse shocks (table 5). This observation is consistent with con- ventional credit contracts because those who experience adverse shocks are more likely to default. The evidence that repayments respond not only to the entire circumstances of the debtor household, but also to those of the creditor household (table 5), however, is not consistent with conventional models. These transactions, therefore, are not analogous to equity investments by the lender in the borrower's activities. They are true risk pooling arrangements between the two households. It is interesting to note that tables 4 and 5 can be replicated for loans between relatives (see tables 6 and 7). The statistical significance of the results declines as a result of the reduction in sample size, but the pattern remains the same. Loans involving relatives, overall, are just as likely to be considered in default as are other loans, and the terms of loans between relatives seem to be just as responsive to realizations of random shocks. 264 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 Table 5. Realized Terms versus Borrower and Lender Shocks Received Sample means Monthly interest Simple interest Repayment Adverse shock to:a rate (percent) rate (percent) period (days) Borrower No shock 0.5 20.4 67 Shock -4.0 -0.6 72 Impact of shock on mean Lower Lower Longer t-statisticb (1.58) (2.20) (1.03) Lender No shock -7.5 -5.0 89 Shock 2.6 11.8 80 Impact of shock on mean Higher Higher Shorter t-statisticb (4.56) (3.06) (1.89) a. The definition of adverse shock is that of table 4, broadened to include lenders. b. The impact of the shocks is judged by a two-sided t-test of equal means (Anoshock - J. The absolute value of the t-statistic is in parentheses. Source: Survey data, available at a nominal reproduction charge upon written request to the author. The flexibility of these contractual forms allows for more efficient risk shar- ing between the debtor and the creditor than is possible with conventional fixed-interest contracts. Access to conventional loans permits a household to consume its permanent income; the consumption effects of an unexpected shock to income (and therefore to wealth) can be spread over a period of time. In contrast, state-contingent contracting offers a mechanism through which Table 6. Defaults by and Shocks to Borrowers, for Loans between Relatives Only Realized monthly nominal return Loan r<0 r=0 O0.05 Total loans (number)' 19 85 66 34 Of this total, those in default (number) 2 8 0 0 (percent) (12) (9) (0) (1) Loans (number) for which borrower subject to an adverse shock 6 42 7 23 Of this total, those in default (number) 0 0 0 0 (percent) (2) (1) (0) (0) Loans (number) for which borrower not subject to an adverse shock 14 43 59 12 Of this total, those in default (number) 2 8 0 0 (percent) (16) (18) (0) (1) Note: The difference between the within-interval proportions is significant at the 0.01 level, using the following test: Let P,,, i = 1, . . . , 4 be the proportion of borrowers who received no shock who are judged to be in default as indicated by the statement that no further loans will be available. Let p,, be the similarly defined proportion of borrowers who received a shock who are judged to be in default. A chi-square test of the hypothesis that p,,,_ = p,,, for i = 1, ... , 4 against the open alternative yields a test statistic of 7.39. The hypothesis can not be rejected at the 0.10 level. a. All loans are weighted by value. Source: Survey data, available at a nominal reproduction charge upon written request to the author. Udry 265 Table 7. Realized Terms versus Borrower and Lender Shocks Received, for Loans between Relatives Only Sample means Monthly interest Simple interest Repayment Adverse shock to:' rate (percent) rate (percent) period (days) Borrower No shock -0.7 8.4 69 Shock -5.6 -1.7 72 Impact of shoclk on mean Lower Lower Longer t-statisticb (0.89) (0.69) (0.32) Lender No shock -0.7 4.4 84 Shock 0.1 1.6 80 Impact of shoclk on mean Higher Lower Shorter t-statisticb (0.37) (0.54) (0.46) a. The impact of the shocks is judged by a two-sided t-test of equal means (/os-h.k -Ahock). The absolute value of the t-statistic is in parentheses. Source: Survey data, available at a nominal reproduction charge upon written request to the author. both borrowers and lenders can neutralize the unexpected shock itself so that it has no effect on wealth. Only certain shocks, however, can be insured against through this market. In general, the loans described in this article are concen- trated within single villages, and thus can serve to pool only the idiosyncratic shocks faced by households within the village. To the extent that these loan transactions do not cross village borders, they can contribute almost nothing to a household's efforts to respond to a shock that affects the village as a whole. 19 To what extent do the shocks affecting these households originate in idiosyn- cratic as opposed to villagewide events? An analysis of the variation in farm yields across sample households indicates that of that proportion that can be explained by some combination of random shocks and village-level effects, 42 percent result from idiosyncratic shocks, and 58 percent result from a combi- nation of shocks that affects the entire village and other village-level effects.20 In principle, therefore, a significant component of the total risk faced by these households can be insured against through state-contingent loan contracting with other households within the same village. Furthermore, this contractual form provides a mechanism for circumventing legal restrictions on credit trans- actions.21 The existence of these contracts in an information environment in which they are feasible is, therefore, not surprising. 19. Some evidence is presented below that in one of the four sample villages a significant amount of credit is transacted with individuals not resident in the village. 20. The results are derived from a cross-section regression of yields on village dummy variables and the self-reported shock variables used in tables 4 and 5. 21. Shari'a law, strictly interpreted, requires that risk be shared in proportion to the capital contrib- uted to an enterprise (see Schacht 1936). Thus not any state-contingent contract is legal. This amounts to a prohibition on the payment of risk premia (which are implicit in any conventional credit contract, and in many forms of state-contingent contracting). 266 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 More puzzling is the almost complete absence of credit transactions which cross community boundaries. This is an environment characterized by seasonal demands for finance that are highly positively correlated over small areas, and the analysis above indicates that there is a large component of yield risk that cannot be insured against within the village. It would seem that there could be high returns available to financial intermediaries able to move finance over wide areas.22 The absence of direct lending from outside the community can be explained by the high information costs of such transactions and by the exis- tence of village-based traders who provide financial intermediation. The strict information requirements of state-contingent contracts place the outside lender at a severe disadvantage. Because he cannot observe the produc- tion shocks, the outside lender is faced with a classic monitoring problem, and the borrower has an incentive to claim a more adverse shock than he actually received. Leaving aside the monitoring problem, unless an outside lender can exclude a borrower from future access to other lenders, he cannot impose a strong penalty on a borrower whom he considers to be in default. These informational disadvantages raise the cost of credit provided by outside lenders. These costs could be reduced by a contravention of the requirements imposed by Islam or by the development of alternative institutions (such as interlinkages with other markets) within which fixed interest charges can be hidden. A fixed- term contract would reduce the monitoring difficulties faced by outside lenders, and the availability of assets that could serve as collateral could alleviate the problem of contract enforcement. Land is available to serve as collateral for borrowing from outside lenders because, as noted in section IV, both the rental and sales markets in land are active. An important element in the explanation for the puzzling absence of outside lenders might be found in the role that village merchants play in channeling outside credit to the village. In northern Nigeria, the Hausa tradition of long- distance trading has led to a class of merchants, dispersed through many villages, who have long-term relations with other merchants throughout Ni- geria and beyond. These merchants provide market intelligence, advance short- term trading credit, and act as agents for each other. This intensive contact enables them to enter into information-intensive state-contingent credit con- tracts of the sort described above. Therefore, these village-based traders with wide connections can act as pipelines for outside credit to enter the village, increasing the volume of locally available credit and keeping the cost of credit below the threshold which would induce the entrance of outside lenders. The fact that village-based traders do at times use their access to credit from other traders to lend to local borrowers is fairly certain. It was confirmed to me in interviews with six such traders in three of the four sample villages, and it corresponds to Clough's (1981, 1986) description of merchant activities in 22. See Binswanger and McIntire (1987, pp. 78-79, 88-89) for a theoretical account of the devel- opment of a geographically widespread credit market in such circumstances. Udry 267 Kaduna State. There is also some indication of its importance in the sample data. Of the 198 household heads in the sample, three are traders who have active relationships with traders in other locations.23 Each of the three made far more loans than average, accounting for 37, 25, and 17 percent of the total value of loans made by the fifty sample households in their villages.24 One of the three also had large loans from outside traders, accounting for 11 percent of all of the borrowing by sample households in that village. Although too much should not be made of the behavior of one individual, it seems that at least in one village a significant amount of credit flows through this trader across village boundaries. The degree to which this phenomenon is responsible for the absence of outside lenders in the local credit market is less obvious, because there are other potential explanations. It is possible that contravention or circumvention of the Shari'a prohibition of fixed interest rates is impossible. This would make the information barrier faced by outside lenders almost insurmountable. It is also possible that even peak demand for credit is small enough, relative to local supply, that "pipeline" credit from local traders is not needed to keep rents below the critical value that would induce outside lenders to enter the market. An investigation over several years would be needed to make a definitive statement regarding the importance of local traders' access to external capital as a mechanism for excluding direct lending by external agents. The critical test would be to observe credit transactions during a crisis year in order to see how borrowing by locally resident traders from outside traders and local lend- ing by resident traders respond to peak levels of local demand for credit. No such test is possible with these data; the study year was characterized by generally better than average yields (rainfall was just over the long-run average, and well-distributed). V. SUMMARY AND IMPLICATIONS The rural credit market in northern Nigeria appears to be significantly differ- ent from its counterparts in other areas of the world and from the idealized markets that appear in theoretical work on the subject. There is only minimal use of collateral and no evidence of contractual interlinkage with other mar- kets. Contractual mechanisms to alleviate the difficulties posed by information asymmetries are not necessary because credit flows through paths that take advantage of the extremely free flow of information within a rural community. 23. These traders do little buying or selling within their own villages. They purchase and sell wholesale lots of grain at larger markets, and they have business ties with traders as far away as Sokoto (400 kilometers to the northwest) and Lagos (more than 750 kilometers away). 24. Credit transactions involving these households were no more likely to overlap with transactions in other markets than were those of other sample households. Traders are not sources of interlinked credit. 268 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 In this information environment, credit transactions can be viewed as state- contingent contracts that allow direct risk pooling between creditor and debtor and that conform to the prohibition on fixed interest charges by Shari'a law. There is some evidence in one village that these information-intensive contracts are spread over a wide geographical area by a network of village-based long- distance traders. The flexibility of the state-contingent credit contracts presents an exceptional challenge to potential formal sector lenders. They have neither the access to information nor (generally speaking) the administrative flexibility necessary to make state-contingent loans. Therefore, they cannot compete directly with lenders from within the community. The existence of assets that could serve as collateral for fixed-interest loans may provide an opportunity for institutional change that could be exploited by formal sector lenders. In addition, the con- ditions which permit state-contingent loan contracting within rural communi- ties, namely the free flow of information within the village and the availability of mechanisms to enforce agreements between village residents, may also allow the design of peer monitoring systems to support lending by formal sector institutions to groups of rural households. REFERENCES Balcet, Jean-Claude, and Wilfred Candler. 1982. "Farm Technology Adoption in North- ern Nigeria." World Bank Western Africa Projects Department. Washington, D.C. Processed. Bardhan, P., ed. 1989. The Economic Theory of Agrarian Institutions. Oxford, Eng- land: Clarendon Press. Bell, Clive. 1988. "Credit Markets, Contracts, and Interlinked Transactions." In Hollis Chenery and T. N. Srinivasan, eds., Handbook of Development Economics. New York: North-Holland. Bell, Clive, and T. N. Srinivasan. 1989. "Interlinked Transactions in Rural Markets: An Empirical Study of Andhra Pradesh, Bihar, and Punjab." Oxford Bulletin of Economics and Statistics 51: 73-83. Binswanger, Hans, and J. McIntire. 1987. "Behavioral and Material Determinants of Production Relations in Land-Abundant Tropical Agriculture." Economic Develop- ment and Cultural Change 36: 73-99. Buntjer, B. 1969. "The Changing Structure of Gandu." Ahmadu Bello University. Zaria, Nigeria. Processed. Chan, Y. S., and A. Thakor. 1987. "Collateral and Competitive Equilibria with Moral Hazard and Private Information." Journal of Finance 62: 345-63. Clough, Paul. 1981. "Farmers and Traders in Hausaland." Development and Change 12: 273-92. _____. 1986. "The Social Relations of Grain Marketing in Northern Nigeria." Review of African Political Economy 34: 16-34. Eswaran, M., and A. Kotwal. 1989. "Credit as Insurance in Agrarian Economies." Journal of Development Economics 31: 37-53. Udry 269 Feder, G., and D. Feeny. Forthcoming. "Theory of Land Tenure and Property Rights." World Bank Economic Review. Gangopadhyay, S., and K. Sengupta. 1987. "Usury and Collateral Pricing: Towards an Alternative Explanation." Cambridge Journal of Economics 11: 47-54. Goddard, A. 1973. "Changing Family Structures among the Hausa." Africa 43: 207- 18. Guyer, J. 1982. "Household and Community in African Studies." African Studies Review 24: 87-137. Hart, G. 1986. "Interlocking Transactions: Obstacles, Precursors, or Instruments of Agrarian Capitalism?" Journal of Development Economics 23: 177-203. Hill, P. 1982. Dry Grain Farming Families. Cambridge, England: Cambridge University Press. IMF (International Monetary Fund). 1989. International Financial Statistics. Washing- ton, D.C. Kreps, D. 1990. A Course in Microeconomic Theory. Princeton, N.J.: Princeton Uni- versity Press. Longhurst, R. 1985. "Farm Level Decision Making in a Northern Nigerian Village." Ahmadu Bello University, Samaru Miscellaneous Paper 106. Zaria, Nigeria. Processed. Nicolas, G. 1974. "La Pratique traditionnelle du cr6dit au sein d'une societe subsahar- ienne (vallee de Maradi, Niger)." Cultures et Developpement 6, no. 4. Norman, D. 1972. "An Economic Survey of Three Villages in Zaria Province: 2. Input- Output Study, Vols. i. text and ii. Basic Data and Survey Forms." Ahmadu Bello University, Samaru Miscellaneous Paper 37. Zaria, Nigeria. Processed. Norman, D., J. Fine, A. Goddard, W. Kroeker, and D. Pryor. 1976. "A Socio-Eco- nomic Survey of Three Villages in the Sokoto Close-Settled Zone." Ahmadu Bello University, Samaru Miscellaneous Paper 64. Zaria, Nigeria. Processed. Raynaut, C. 1977. "Aspects Socio-6conomiques de la preparation et de la Circulation de la Nourriture dans un Village Hausa (Niger)." Cahiers d'Etudes Africaines 68: 569-97. Schacht, Joseph. 1936. "Riba." Encyclopedia of Islam. London: Luzac and Lo. Shenton, R. 1985. The Development of Capitalism in Northern Nigeria. Toronto: University of Toronto Press. Watts, M. 1983. Silent Violence: Food, Famine and Peasantry in Northern Nigeria. Berkeley: University of Califomia Press. THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3: 27 1 -295 The Thai Rural Credit System: Public Subsidies, Private Information, and Segmented Markets Ammar Siamwalla, Chirmsak Pinthong, Nipon Poapongsakorn, Ploenpit Satsanguan, Prayong Nettayarak, Wanrak Mingmaneenakin, and Yuavares Tubpun Thailand has sought to increase farmers' access to credit by government intervention. In 1966 it created a government agricultural bank to lend solely to farm households, and beginning in the late 1970s it required commercial banks to lend heavily in the rural sector, either directly or by making deposits in the agricultural bank. The result was an enormous expansion of credit in the rural sector. But because formal lenders were either unable or unwilling to solve the information problems involved in the broad range of rural credit transactions, the informal credit sector (which charged interest rates many times higher than the formal sector) continued to thrive. Using household surveys and surveys of moneylenders, this article provides a detailed analysis of the ways in which lenders in the informal sector have solved the information problems of providing credit. The authors argue that the informal sector is competitive, and that high interest rates reflect high information costs, not the scarcity of funds. This article reports on a set of investigations of the impact of Thai government policies to expand bank lending in the rural sector. Their purpose was to increase farmers' access to capital and reduce their dependence on informal lenders. Fifteen years after the principal government measures were introduced, we hope to be able to answer several questions: How has the expansion of formal sector lending affected the informal sector? Did the increase in the supply of formal credit reduce the business of informal lenders and lower interest rates in the informal market? What has been the performance of the formal credit system in terms of coverage, efficiency, and incidence? Lacking time-series data on the informal sector, we cannot give a direct answer to these questions. But we can with confidence say that the informal lenders are still very much alive. By examining the behavior of the rural credit market at the present time, we can throw an indirect light on what transpired over the last fifteen years. Our main findings are the following: * On the basis of our 1984-85 survey of households and moneylenders, Ammar Siamwalla is president, Thailand Development Research Institute. The other authors are members of the economics faculty at Thammasat University, Bangkok, Thailand. ( 1990 The International Bank for Reconstruction and Development / THE WORLD BANK. 271 272 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 credit from the banking system and cooperatives provided 40 percent of the total credit reported, compared with (very roughly) 10 percent in 1975. But it is impossible to determine whether the absolute volume of informal lending has increased or decreased in the past fifteen years. Almost 75 percent of those active in the credit market still used the informal sector; in many cases, those households also used the formal sector during the survey period. The persist- ence of the informal sector is the result of the rich variety of contractual relations that enable informal lenders to solve information problems that are currently beyond the ability of the banks and cooperatives. * The formal sector has evolved a very cost-effective method of channeling credit to the rural sector through its peer monitoring system. But loans provided under this system are only short-term and reach primarily farmers with above average incomes. The credit needs of poor farmers are still served by the informal market or not at all. * Neither the formal sector nor nonresident informal lenders appear able to provide consumption loans needed in periods of bad harvests or low output prices. Resident lenders also are not able to make these loans because their financial state covaries with their borrowers'. * Real interest rates in the informal sector have been fairly stable at least for the last two decades despite changes in government credit policies and varying monetary policies. From our analysis of the Thai rural credit market, we draw the implication that mere injection of funds into the rural areas does not lower informal sector interest rates or drive informal lenders out of business; funds are not the scarce factor. The injection of funds into the Thai rural credit market after 1976 did not achieve its objective of providing low-cost funds for most credit needs, although it was successful in the (very important) market for working capital. Despite repeated attempts, the Bank for Agriculture and Agricultural Cooper- atives (BAAC) has been unsuccessful in expanding its scope of activities. A successful formal credit program that can compete with informal lenders over a broad range of their activities requires innovations in institution-building to compete with the information-solving devices in place in the informal rural sector. This article is in six sections. After describing our data sources (section I), we analyze the structure of the rural credit system (section II) and the rich variety of ways in which different lenders solve their selection, monitoring, and enforcement problems (section III). We present results of a regression analysis of informal interest rates (section IV). In a brief critique of the theoretical literature, we argue that the extant theoretical tools, which focus on contrac- tual relations between anonymous lenders and borrowers, do not fit the highly personal informal market in Thailand (section V). In our concluding section, we comment on the efficiency and distributional consequences of the Thai government policies for rural credit. Siamwalla and others 273 I. DATA SOURCES Available secondary sources provide consistent information only on formal sector credit activities. For our study, we undertook three new surveys-two surveys mostly in Nakhon Ratchasima province (hereafter NR), and one survey in six provinces across Thailand. NR province, although officially a part of the impoverished Northeastern region, is close to the Central Plains and therefore somewhat more prosperous than its Northeastern neighbors. It is also Thai- land's largest province and has within its borders a wide variety of physical and socioeconomic environments. The scope of our three studies was as follows: * Household survey of fifty-two villages, NR province, 1985. The survey covered the economic activities of 1,600 rural households, including their bor- rowing activities but not their lending activities. The latter were excluded as we felt that to raise such sensitive issues in a questionnaire would endanger the quality of the data in other areas, as well. * Survey of moneylenders in six villages, NR province, 1984-85. We sent six researchers to live in six villages for about six to eight weeks, using informal methods to analyze in depth the social relations and borrowing and lending activities within the villages and with people outside. This approach enabled the research team to identify the key lenders inside the villages and to gain their confidence. Two principal researchers then interviewed these lenders in depth to gauge their method of procedure. At no time did we attempt to get a precise measure of the size and turnover of these lenders' activities-the price we gladly paid to get valuable information that would not have been available otherwise. * National survey of informal interest rates, fourteen villages in ten prov- inces of Thailand, 1987. To obtain information on regional variations in rural interest rates in the informal credit market, enumerators lived for two weeks in each village and administered a survey questionnaire to a total of 293 randomly selected borrowers and 37 lenders in the last five days of their stay. II. STRUCTURE OF THE THAI RURAL CREDIT MARKET The main factor separating formal from informal lenders is that the former are generally bureaucratic organizations within which there could be problems of monitoring and control. Informal lenders tend to be individuals or husband- and-wife teams. In our surveys we came across only one category of lender that was difficult to classify-sellers of durable goods on the installment plan. In many but not all instances they are large-scale, bureaucratically run companies. We chose to treat them as informal lenders. This particular choice was conven- ient in that it grouped together in the informal sector all lenders who receive no subsidies, and into the formal sector all subsidized lenders to rural house- holds. 274 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 Historical Overview of the Formal Sector Beginning in 1916, the government of Thailand has experimented with dif- ferent institutional frameworks to provide cheap credit to the rural sector. The method usually employed was to encourage farmers to set up credit coopera- tives to which the government would provide loans, with the regular govern- ment agencies responsible for disbursing to and collecting from the coopera- tives. Typically the default rate would be high and the finance would dry up after a few years. In 1966, the government created the Bank for Agriculture and Agricultural Cooperatives (the BAAC), a specialized financial institution to provide loans directly to farm households as well as to the cooperatives.' Between 1966 and 1974, the BAAC grew at moderate speed and succeeded in establishing branches in 58 out of Thailand's 71 provinces (Mingmaneenakin 1988, p. 123). Radical changes took place in 1975. The 1973 departure of a military- dominated regime had ushered in a more democratic government. The country- side was the scene of intense struggles for the proverbial "hearts and minds" between the Bangkok government and the Communist Party of Thailand. The new democratic government was under pressure to transfer resources to the rural areas. In August 1975, in the middle of the planting season for most major agricultural crops, the Bank of Thailand sent a memorandum to all commercial banks, requesting each bank to lend to farm households an amount equal to at least 5 percent of its total stock of loans and advances outstanding at the end of 1974. Should any bank find it impossible to lend the full amount, it was to make a 12-month deposit of the remaining sum with the BAAC.2 At the same time, the BAAC, a public enterprise under the Ministry of Fi- nance, was ordered to expand its loan portfolio to 3.5 billion baht from the level of 2.65 billion baht lent out in 1974 (billion = 1,000 million; Mingma- neenakin 1988, p. 84).3 Thus both the commercial banks and the BAAC found themselves suddenly having to extend a vast amount of new loans to farmers. The commercial banks, particularly the smaller ones, were unable to meet the new lending requirements. The BAAC consequently received substantial deposits from them and had to expand its operations very quickly (see table 1, column 8). The rural credit system was entirely transformed by this policy. 1. The BAAC'S mandate is to lend to farm households and for agricultural activities. It is now trying to lend to nonagricultural activities of farm households. 2. In 1975, the Bank of Thailand had no legal authority to impose selective credit control. It could do so only after an amendment to the Commercial Bank Act in 1979. This change, however, did not cause the central bank to impose this requirement as a legally mandated regulation. Its preferred style of regulation in this matter remains what it calls "moral suasion." 3. In 1985, approximately 25 baht equaled one U.S. dollar. Between 1955 and 1981, the baht fluctuated between 20 and 21 baht to the dollar, with the country practicing a relatively open trading regime. The domestic inflation rate therefore corresponds fairly closely to the dollar inflation rate, reaching double digits in the aftermath of the two oil shocks, but staying at fairly low levels after that, including in 1981 and again in 1984 when there were devaluations of 15 percent. Siamwalla and others 275 Table 1. Targets and Performance of Commercial Banks in Agricultural Loans, 1975-85 (millions of baht) Commercial banks Deposits BAAC, Percentage Deposits Total in Excess (+) Total of Direct with agricultural central or agricultural Target deposits lending' BAAC loans bankb shortfall (-) loans Year (1) (2) (3) (4) (5) (6) =(S)+(6)-(1) (8) 1975 4,333.3 5 2,233.6 1,670.8 3,904.4 n.a. -428.9 4,556.1 1976 6,139.0 7 3,810.9 3,160.6 6,971.5 n.a. +832.5 6,554.6 1977 9,647.0 9 5,891.8 4,528.0 10,419.8 n.a. +772.8 8,280.2 1978 11,771.0 9 8,099.5 5,511.4 13,610.9 n.a. +1,839.9 10,207.8 1979 17,322.4 11 9,970.0 6,330.1 16,300.1 n.a. -1,022.3 11,698.6 1980 19,208.7 11 11,553.1 7,000.3 18,553.4 1,230.0 -65s.3 13,448.3 1981 23,649.3 11 14,562.3 7,803.9 22,366.2 1,230.0 -1,283.1 15,208.3 1982 28,293.7 11 20,140.4 8,405.2 28,545.6 1,096.1 +251.9 17,013.7 1983 35,330.0 11 28,613.2 8,806.0 37,419.2 765.0 +2,089.2 18,271.4 1984 44,340.9 11 35,915.4 9,534.5 45,449.9 656.6 +1,109.0 21,078.9 1985 53,819.5 11 37,726.7 10,685.2 48,411.9 n.a. -5,407.6 23,308.8 1986 60,347.6 11 39,681.7 11,112.8 50,794.5 n.a. -9,553.1 - n.a. Not applicable. -Not available. a. Excluding loans to agribusinesses. b. In 1980, commercial banks were unable to lend the required amount to farmers and the BAAC was willing to accept only part of the shortfall for deposit, so the banks were required to deposit at the Bank of Thailand. Source: Bank of Thailand, cited in Satsanguan (1989, p. 90). After 1976, the commercial banks' required lending to farm households was gradually increased until it stabilized in 1979 at 11 percent of total deposits. This requirement appears to make the commercial banks the key source of funds for the agricultural sector. The official figures in table 1 show, for example, that at the end of 1984, commercial banks' direct loans to farm households were 70 percent higher than the BiAC'S. Of the BAAC lending, 45 percent was financed by the commercial banks. The official figures, however, exaggerate commercial banks' direct lending to farm households. The central bank's monitoring of the quasi-regulation it imposed on the commercial banks is extremely lax. The central bank follows up on the implementation of its policies not by audits, but only through occasional general studies. The central bank's approach is in line with the position that it has maintained all along, namely, that this measure is enforced through "moral suasion," not regulation. Commercial banks have found it prudent to go along substantially with this pretense, as the central bank has considerable discretionary power in many other areas, for example, in the number of new branches each of them may open. The consequence is that the commercial banks have tended to include more loans under the agricultural category than would be warranted by a strict definition of the term. The size of the exaggeration may be gleaned from our 276 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 statistical survey of NR province, which shows that in April 1985 the outstand- ing debt of rural households to the BAAC was higher than that owed to the commercial banks in the ratio of 4 to 3. The absolute figures for the BAAC loans to farmers according to the BAAC and according to our sample survey are of the same order to magnitude. The figures submitted by the commercial banks to the Bank of Thailand, however, show the amount owed to them by agricultural households (a narrower category than rural households) of NR province to be more than twice that owed to the BAAC, and about twice what our survey indicates (Poapongsakorn 1988, p. 26). In one of its studies, the Bank of Thailand, tracing from the actual transactions classified as agricultural loans by the banks, estimates the degree of exaggeration to be roughly 25 percent (Satsanguan 1988, p. 115). Aside from the exaggeration of the relative importance of the commercial banks as a result of sheer misreporting, there is also an exaggeration of its impact in terms of the number of farm households affected. In our survey, the average size of the commercial banks' loans was three times as large as the BAAC'S (see table 2). The number of rural households with BAAC loans was higher than that with commercial bank loans in the ratio of 4 to 1 (see table 3). The BAAC also lends to cooperatives. Despite (perhaps because of) consider- able efforts put into these institutions by the government and lately by the BAAC, the performance of the credit cooperatives has always been poor. The default rate was high, and therefore the number of farmers reached dwindled rapidly after the initial flush of lending. From our statistical survey of NR province, during 1984-85 cooperatives disbursed 20 percent of the amount borrowed by NR farm households from formal institutions. Almost all the funds for these loans came from the BAAC (Poapongsakorn 1988, p. 33). Table 2. Size of Loan per Transaction, Nakhon Ratchasima Province, 1984-85 (baht) Average size of Sector transaction Formal 11,000 BAAC 8,480 Commercial banks 24,462 Cooperatives 8,348 Informal' 6,360 Cash loans 6,986 Suppliers' credits 1,246 Installment loans 21,965 a. Excludes loans of less than 100 baht ($4), which are mostly loans contracted when food and household goods are purchased from a general store on credit, with repayment due at harvest time. Source: 52-village survey of 1,600 rural households in Nakhon Ratchasima Province, tabulated in Poapongsakorn (1988, p. 35). Siamwalla and others 277 Table 3. Characteristics of Households Borrowing from Formal and Informal Sectors, Nakhon Ratchasima Province, 1984-85 Average Average Average net Number of assets gross income per households (baht) income' (baht) capita (baht) Sector or source of loan (1) (2) (3) (4) By sector Borrowers from formal sector only 43,743 188,697 45,558 4,141 Borrowers from informal sector only 88,145 126,754 30,626 3,171 Borrowers from both sectors 26,671 204,702 47,673 4,413 Nonborrowers Unable 4,670 116,927 25,016 2,583 Unwilling 111,976 145,022 32,400 4,094 By source of loan in formal sector BAAC 31,272 191,109 45,105 - Commercial banks 7,902 202,298 82,890 - Cooperatives 11,521 198,538 34,545 - Farmers' associations 430 268,945 27,058 - Others 1,580 109,164 50,367 - -Not available. Note: All figures extrapolated to province level. a. Gross income is income gross of farm production costs. This measure is useful when considering demand for credit. Source: 52-village survey of 1,600 rural households in Nakhon Ratchasima Province, tabulated in Poapongsakorn (1988, p. 204) and Tubpun (1988, pp. 8, 10). Informal Lenders Despite the enormous expansion of formal credit after 1975, informal lenders continue to do a thriving business. Their share of total loans given out has indeed declined from, very roughly, 90 percent to 50 percent, but it is impos- sible to determine whether the absolute volume of their lending has increased or decreased. The decline in their market share seems to have occurred in every region of the country (Siamwalla 1989, pp. 197-98; Poapongsakorn and Net- tayarak 1988, p. 15). Our own survey in NR province indicates that of the households who reported some borrowing or repayment activity during 1984- 85, 72.4 percent borrowed from the informal sector, accounting for 56.0 percent of the amount borrowed. Informal lenders are very thick on the ground. In our fifty-two-village survey, each village headman was asked to give the total number of resident or outside lenders who are known to lend to the villagers. The modal number of lenders resident in the village is three, and the modal number of outside lenders is two (Siamwalla 1989, p. 234).4 A question addressed to each resident lender as to 4. A more recent survey conducted in more regions indicated the same (Poapongsakorn and Nettay- arak 1988, p. 40). In our survey, the average number of households per village is 112. The average number of people per rural household in Thailand is about 5. 278 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 Table 4. Characteristics of Lenders in the Informal Credit Market, Nakhon Ratchasima Province, 1984-85 Total Number Interest-free volume Share of contracts as of loans of Size per contracts percentage (millions total transaction Lender's occupation (thousands) of total of baht) (percent) (babt) Resident farmers 66.4 36.4 394.6 32.6 5,945 Resident traders 25.9 22.5 135.7 11.2 5,240 Resident salaried individuals 20.5 23.1 204.1 16.9 9,970 Resident rentiers 3.8 26.6 39.9 3.3 10,425 Temple funds' 1.6 45.6 17.4 1.4 11,455 Nonresident farmers 6.3 11.8 55.9 4.6 8,882 Nonresident traders 31.1 1.6 209.5 17.3 6,740 Nonresident salaried individuals 1.7 0.0 19.4 1.6 11,455 Nonresident rentiers 0.9 0.0 1.4 0.1 1,524 Illegal trusts' 1.9 0.0 14.6 1.2 7,792 Unknown 13.2 36.3 117.4 9.7 8,870 Note: Figures extrapolated to province level. a. Temple funds are set up after a collection among villages, and loaned out at low interest rates. b. These are trader partnerships, some of which accept deposits without requisite registration with the Ministry of Finance. Source: 52-village survey of 1,600 rural households (borrowers) in Nakhon Ratchasima Province, tabulated in Poapongsakorn (1988, p. 128). the number of borrowers in his clientele yields numbers that range from one to forty-five borrowers, with the average loan portfolio being 36,000 baht (or $1,440) per lender (Poapongsakorn and Nettayarak 1988, pp. 41-44). The portfolio of nonresident lenders, particularly the traders, would of course be much larger as they lend to many villages, but we had no way of obtaining this number. The size per transaction in the informal sector is typically much smaller than in the formal sector, although this is not true of installment loans (see table 2). Table 4 classifies informal lenders by occupation and residence. About one- fourth of informal credit in the sample villages was supplied by nonresidents and, of that, most was supplied by traders. As shown in column 2, over one- fourth of loans were interest-free. Such loans are between relatives and close friends and probably contain an implicit exchange component. Sorting of Borrowers across Lending Sources The above account gives the structure of the credit system as it would appear to an outsider. From the borrower's point of view it would look quite different. Whereas the data thus far presented may suggest a high degree of competitive- ness among lenders, in fact most borrowers are unable to use multiple sources of informal loans or to switch easily from one lender to another. Of the Siamwalla and others 279 households surveyed in NR province who reported some borrowing from the informal sector, about five-sixths reported that they borrowed from only one informal source. Many of these also borrowed from formal sources, but as we shall argue below, formal and informal lenders are noncompeting. A more telling set of figures comes from our national survey. A total of 72 percent of the informal sector borrowers in that survey reported that they had not attempted to borrow from other informal lenders during the past three years. Creditworthiness vis-a-vis an individual lender takes considerable time to build up; the average period of contact involving credit transactions reported by these 72 percent was close to seven years! Switching of lenders does take place, but it has to be done slowly and may involve some costs and risks to the borrower. More important, borrowers do not have equal access to all credit sources, particularly to those in the formal sector. Table 3 shows how borrowers appear to be sorted by wealth and income.5 A total of 42 percent of households did not report any credit transactions at all during the survey period, and these are the poorest group in the villages. We did ask an admittedly vague question of these households: whether the reason they did not borrow was because they were unable to borrow, or because they did not wish to borrow. Only a small minority, whose mean income is lower than those that were able to borrow, reported that they wished to but were unable to borrow. It is not clear whether the households that reported that they had no wish to borrow (a) knew that a request for credit would be turned down by all lenders; or (b) knew that they would be turned down by the formal sector, whose terms they were willing to accept, but were unwilling to borrow from the informal sector, whose terms they considered too onerous; or (c) really did not need to borrow at all. The mean income figure of this particular group in table 3 indicates that reason (b) is probably the dominant explanation. Table 3 also shows the mean levels of assets of households who succeeded in obtaining loans from various sources. Well-to-do farmers are more apt to obtain credit from formal sources. Households that borrow from the commer- cial banks in particular clearly belong to the richest strata.6 That different strata sort themselves in this fashion is not a choice of the borrower but the 5. To obtain a sense of these figures, note that average income per capita in the northeast of Thailand is 2,983 baht. Average income for agriculturalists throughout Thailand is slightly greater, at 3,062 baht. These figures are not strictly comparable to those of table 3 because of somewhat different definitions of income. 6. Actually, the wealthiest farmers borrow from farmers' associations, but these are quantitatively unimportant, as can be seen in column 1 of table 3. Farmers' associations are groups of about 50-100 farmers formed hurriedly in 1975 by the Department of Agricultural Extension to obtain loans from the BAAC, in conjunction with the credit program of that year (see historical overview above). Because their formation was politically motivated, their members tend to be rich and influential and, precisely for that reason, their repayment rate was poor. The BAAC has been trying to remove them from its rolls ever since. Those that remained in 1984 to be reported in this paper were presumably those that behaved better than the vast majority of these associations. 280 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 result of sorting by lenders, as we shall indicate in the next section when we discuss how lenders solve their information problems. III. How Do LENDERS SOLVE THEIR INFORMATION PROBLEMS? The size of rural loans in both the formal and informal sectors is typically small, on the order of 10,000 baht ($400; see table 2 above). Recourse to the state judicial system to enforce contracts would be absurdly uneconomical. The most important consideration facing a lender is therefore to ensure that the borrower will perform according to his contract. One can imagine him trading off among (a) a strict collateral requirement, (b) a stringent vetting of the borrower prior to making a loan, and (c) use of third party guarantees or peer monitoring. Measures (b) and (c) could be supplemented by (d) a strong effort in following up on a debt, sometimes with ex post penalties and rewards tailored to repayment performance. Lenders mix the various modes of enforce- ment in different proportions corresponding to their comparative advantage. Because the ease of implementing modes (a) to (d) also varies across potential borrowers, the result is a sorting of borrowers across lenders. Each of these modes takes on a variety of forms, and we describe the most important ones below. Collateral A total of 87 percent of commercial bank loans and 43 percent of coopera- tives' loans were backed by collateral (Mingmaneenakin 1988, p. 107). The sphere of operations of commercial banks and cooperatives therefore has been almost exclusively in villages where land titles have been issued (Tubpun 1988, pp. 55, 66-69). Long-term loans from nearly all sources, including informal lenders, involve the use of land as collateral. The main exception is installment purchases, where the goods purchased are themselves the collateral. In cases where land title exists, farmers generally find little problem obtaining long-term loans, particularly from the commercial banks.7 The use of collateral is also central to the modus operandi of the illegal trusts. A would-be borrower from one of these trusts obtains his loan by bringing in his land title and signing over the power of attorney to the trust's lawyer, which enables the lawyer to dispose of the land, should the occasion require.8 Loans are usually given for about one-quarter of the value of the land 7. Nevertheless many farmers still prefer to borrow long-term from the informal sector at a higher interest rate. The explanation given is that if the creditor forecloses on the loan, the borrowing farmer stands a better chance to lease his land back from the creditor than if he had borrowed from the formal sector. 8. This is not a mortgage. The arrangement allows the lawyer to take over the land any time he wishes. Siamwalla and others 281 for a period of six months. Late payment results first in a fine of 100 baht ($4) a day, followed if need be by forfeiture. The only information required for such transactions is the quality of the land. Most of these trusts require only that the land submitted as collateral be in the same or a neighboring district. Vetting of the Borrower Before Making a Loan Resident informal lenders, of course, have a natural comparative advantage in screening loan applicants and ensuring loan performance. Those who live in the same village as their borrowers are aware of the goings-on inside the village and can eva]luate the risks of each particular borrower better than could any outside bureaucratic organization. They reinforce these advantages through other means. Many operate a small general goods store, thereby creating a center for village gossip to which they can tune in without much effort.9 Peer Monitoring The BAAC has a peer monitoring system for working capital loans with maturity of less than one year (about 75 percent of its annual loan disburse- ments). These loans are given to groups of eight to fifteen farmers. The group is jointly liable for each member's loan. Before the first loan is given out and during the growing season of the crop, as well, the bank's officer goes to the borrowers' village to examine their activities. The most stringent requirement imposed by the BAAC is its refusal to roll over any working-capital loans. All borrowers are required to repay the prin- cipal when the loan falls due, even though in the vast majority of cases, both the bank and the borrowers expect the loan to be recontracted within a month after borrowing. There is consequently a secondary credit market, with funds provided by informal lenders at 10 percent a month interest rate to enable farmers with liquidity problems to tide over this particular gap. The BAAC is fully aware of the existence of this secondary market, yet it insists on the ritual repayment. According to its management, this is its way of ensuring perform- ance. The BAAC has a preference for better-off farmers. This fact, together with the requirement that the group has to be a minimum size, effectively limits who is able to borrow from the BAAC. This is because group members themselves do not wish to have as their colleague anyone who will be a bigger risk than they themselves will pose. The consequence is that a village whose mean income is one standard deviation above the mean of all villages has a 21 percent higher probability of having a BAAC group than a village whose average income is equal to the mean for all villages (Tubpun 1988, p. 53). 9. Because Thai village kinship structure is matrilineal and matrilocal, lines of influence tend to run through the women, and women tend to predominate among resident lenders. 282 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 Trade-Credit Interlinkages The most important enforcement mechanism used by a nonresident trader appears to be the requirement that borrowers sell their output to him. Failure to do so is considered tantamount to default, even if the borrower repays the money on time. The insistence on this trade-credit linkage makes the informa- tion on the size of the borrower's operations (and their changes) available to the creditor and to no one else. Trade-credit linkage thus closes the borrower's access to other lenders.10 Interestingly, most nonresident traders prefer their borrowers to settle accounts at the time of the harvest, and have very little debt carried over from one season to the next. Nonresident traders solve the problem of screening borrowers by relying on agents. An individual who wishes to borrow from a trader has to be introduced by someone whom the lender knows. If the trader wishes to expand his clien- tele, he engages an agent from among the villagers to recommend prospects to him. In return, the trader provides the agent an interest-free loan. Spot Transactions as a Substitute for Credit One type of farmer who finds it difficult to borrow from nonresident traders is the cassava growers, for the simple reason that cassava, unlike other crops, can be harvested any time between four and fourteen months after planting. Without a fixed harvesting period, the enforcement problem becomes very difficult. Generally, cassava growers faced with liquidity problems can obtain credit only by selling outright the standing crop, subject to some conditions on the harvesting date when the land reverts back to them. An active market in standing crops exists in cassava-growing areas-and only in such areas. Interlinkage between the Credit and Land Rental Markets A common reason for borrowing in northeastern Thailand is to finance migration for work in foreign countries, particularly in the Middle East. Be- cause fraudulent practices among labor contractors who arrange such migra- tions are widespread," these investments are quite risky. For those with land, 10. There are other hypotheses to explain the insistence of the nonresident trader-lender that the borrower market his output through him. One hypothesis is that the trader makes a profit by buying at below-market prices. We made thorough inquiries with both lenders and borrowers on this question and are satisfied that, with few exceptions, very little underpaying occurs. It does stand to reason that the trader should not encourage the borrower to default on the loan by underpaying at this stage. Whatever monopoly power the lender may have, he can already exercise through a higher interest rate. Another hypothesis is that traders operate under conditions of excess capacity on account of Cham- berlinian monopolistic competition. Any measure that boosts demand for their services would therefore increase their profits. 11. A study in one northeastern village with a large number of migrants to the Middle East indicates that as many as 50 percent of the households have been cheated by labor contractors during the last seven years (Sangthanapruk 1988, p. 49). Siamwalla and others 283 however, usufruct loans'2 sometimes provide a neat solution to their problems. These are loans in which a borrower allows the lender to occupy and make use of his land until the principal is repaid. The borrower may not reoccupy the land until at least a stipulated minimum of two or three years has elapsed; the reason given for the condition is that the yield risk for two or three years' production is less than for one year. This sort of loan is free of default risk. It is used particularly by those who intend to emigrate from the village. Deposit of Land Title with the Lender Standard practice when the size of a loan approaches 10,000 baht ($400) is for the borrower to deposit his land title with the lender. The deposit of title has no legal significance but prevents the debtor from borrowing a substantial sum from another source or from selling the land to a third party. The topics just discussed-collateral, vetting of the borrower before making a loan, peer monitoring, trade-credit interlinkages, spot transactions as a sub- stitute for credit, interlinkage between the credit and land rental markets, deposit of land title with the lender-are all devices that alleviate the selection, monitoring, and/or enforcement problems arising from a credit transaction. In Thailand we also found evidence of interlinked credit transactions that were intended to solve information problems arising in labor and output markets. In these cases, credit was an instrument for a forward transaction that would otherwise have been highly uncertain. Credit as an Instrument for Forward Transactions Credit can be used as an instrument for forward transactions in the labor or output markets. We provide three examples: (a) The Thai sugar industry, located mostly in the Central Plains, imports an estimated 84,000 workers from the northeast during the harvesting season (Busayawit 1978, pp. 20-21). To obtain this labor, employers advance 5,000- 10,000 baht ($200-$400) to a village recruiter, who will then contact another 10 to 50 fellow villagers, passing on part of the advance money two months before the harvest. If a group has already been working with the employer, its leader would get the advance as soon as the group completed the previous harvest (Poapongsakorn 1988, p. 77). The laborers would then come to work at the same rate as those who are recruited from the vicinity without any such advance. (b) Cassava harvesting requires a few days' work in succession but, unlike the case of sugarcane above, the time of the harvest is highly unpredictable because it depends on cassava prices. In recent years cassava prices have fluc- tuated a great deal over short periods. To ensure that labor is available when needed, large cassava farmers will retain a laborer by giving him access to 12. The NR province has a low incidence of tenancy. Usufruct loans are the only important case of interlinkage between the credit and land rental markets. 284 THE WORLD BANK ECONOMIC REVIEW, VOL. 4, NO. 3 credit involving extremely small sums (100-300 baht or $4-$12) needed for immediate subsistence purchases. The wages paid are again not affected by whether the laborers have borrowed. The loan is in this sense interest-free. (c) Early-season custard apple (a local fruit) is highly desired, while the mid- and late-season output is less desired. Middlemen have developed season-long relationships with custard apple farmers. Provided the farmers do not sell their early season output to itinerant spot traders, the middlemen agree to take up the entire mid- and late-season output from the farmers. The prices paid by the middlemen will vary with market prices, except that during the early part of the season, farmers would normally get a better price from the itinerant traders. To put the relationship on a firm footing, middlemen advance money interest- free to the farmers during the pruning season, about five months ahead of the harvest. IV. INTEREST RATES AND THEIR VARIATIONS As in many developing countries, in Thailand there is a vast gap between the interest rates charged in the formal and informal credit markets. Commercial banks and the BAAC charge 12-14 percent per year, whereas informal lenders charge much higher rates, 25 percent per year being the minimum mostly to be found in the Central Plains-elsewhere 60 percent or more is usual. Based on regressions that we have run, the variation in interest rates in the informal sector appears to reflect variations in information costs and risks arising, for instance, from differences in collateral used. Formal Sector Although the central bank has been regulating the amount of credit that the commercial banks have to provide to the agricultural sector, it did not specify the rate of interest that they should charge. The banks' practice has been to charge 12 percent per year on loans (about the same rate as the BAAC) and 15 percent per year on overdrafts. These rates put the agricultural sector in an even more favored position than the banks' prime borrowers. It appears that the central bank has ignored the role of interest rates in inducing the commer- cial banks to lend more to the agricultural sector. However, it is uncertain that the commercial banks would respond to such an inducement. Their practice before the 1975 regulations was to ignore the agricultural sector, largely be- cause they never had to face serious competition on the lending side of their operations. Entry into the commercial bank business is subject to approval by the Bank of Thailand, and it has not approved a new domestic bank since 1966. Commercial banks have therefore tended to look at the agricultural loans regulation as a burden to be avoided as much as possible. The BAAC'S policy toward interest-rate setting has been subject to political constraints-its chairman is Thailand's minister of finance. Within these con- Siamwalla and others 285 straints, its practice has been to set interest rates according to its average cost of funds. The BAAC obtains soft loans from foreign donors and can rediscount its bills at the central bank at rates between 3.5 to 5 percent per year.13 The BAAC charges interest varying between 12 and 14 percent per year and still makes a small profit. Obtaining subsidized funds from the central bank, the commercial banks and foreign sources, the BAAC has never felt it necessary to expand the fund-mobilization side of its business. It must be added that given its smaller branch network, it is doubtful whether it could be as effective as the commercial banks in marshaling deposits. Informal Sector In much of Thailand except the commercialized Central Plains, the informal interest rate usually hovers around S to 7 percent per month for a loan of 8,000 baht ($320) for a period of six months, with no collateral but with the land title deposited with the creditor (see figure 1). Some of the more remote provinces report a rate of 10 percent per month, while the rate in the Central Plains is only 2 or 3 percent per month. Despite the significant variations observed in individual contracts from our survey data, there is a sense of a standard rate over quite broad areas, provided one controls for (a) the size of the loan, (b) the length of the loan, and (c) the nature of the security offered by the borrower. Moreover, from our interviews, it appears that the standard rates and their regional differentials appear to have been quite stable for at least the last two decades, despite varying experiences with respect to govern- ment credit and monetary policies and inflation rates. That the key factors determining interest rates in the informal sector are the size, duration, and required collateral of the loan has been confirmed by a number of regressions that were run with interest rates as the dependent varia- ble. Table 5 shows the results of one such regression. It indicates that borrower characteristics do not seem to account for much of the variations. The regres- sion also indicates some anomalous results. Irrigated areas and tree-crop areas which are less risk-prone than upland areas show a much higher interest rate. Since this is a villagewide characteristic, it is likely that there is a sampling bias, as there are only fourteen villages in the survey, among which four are irrigated and two are tree-crop villages. Lender and contract characteristics account for some variations. For in- stance, by pledging land as collateral the borrower obtains lower interest than by pledging jewelry. This is probably because many lenders (commercial banks, illegal trusts, as well as other informal lenders) accept land as collateral; the market for such loans is more competitive than for loans obtained by pawning jewelry. 13. The rediscount facility provided 12 percent of the total liabilities of the BAAC in 1984 (Siamwalla 1989, p. 40). Figure 1. Map of Thailand ShowingMonthly InterestRates for the 8, 000 Babt Loan Contract, with the Borrower Surrenduring Land Documents f _,4 ' 3:~~ 18 percent 5-6 percent % 0 0 J 0 g $) ~~7 percent F2 2-3 percent ¢ <, A /