Empirical measurement of credit rationing in agriculture: a methodological survey

Empirical analysis of rural credit market failure has been of key scientific and political interest in recent years. The aim of this article is to give an overview of the various methods for measuring credit rationing that are employed in the literature. Furthermore, the methods are subjected to a comparative evaluation of their specific strengths or shortcomings. Six approaches are distinguished: measurement of loan transaction costs, analysis of qualitative information collected in interviews, analysis of quantitative information collected in interviews using the credit limit concept, analysis of spill‐over effects with regard to secondary credit sources, econometric household modeling, and the econometric analysis of dynamic investment decisions. An explicit comparison with a first‐best solution is impossible in the first three approaches, since they essentially rely on a subjective assessment of borrowers' access to credit, based on qualitative or quantitative indicators. The fifth and sixth approaches allow a rigorous interpretation in the framework of neoclassical equilibrium theory. The fourth approach takes an intermediate position, since spill‐over on segmented loan markets reveals a willingness to pay with regard to the supposedly less expensive but rationed primary source. The approaches are fairly data demanding in general, usually requiring specific data on loan transactions. Even so, most approaches are applicable to cross‐sectional household data. With the exception of the first, all methods surveyed might plausibly be used to empirically detect credit rationing.     

Grain transport and rural credit in Mozambique: solving the space–time problem

This paper shows how credit market failures can lead to large welfare losses in grain markets by inducing increased transport for seasonal storage in locations with low credit costs. The burden of these welfare losses falls primarily on rural households. These conclusions are obtained from a spatial/temporal model solved using a mixed complementarity formulation that easily handles interest rate differentials across space. Efforts to address credit market failures and to improve the efficiency of rural storage should be given priority as opposed to the creation of large, formal sector grain collection centers.     

Land degradation, drought and food security in a less-favoured area in the Ethiopian highlands: a bio-economic model with market imperfections

This paper presents a bio‐economic model of Andit Tid, a severely degraded crop‐livestock farming system with high population density and good market access in the highlands of Ethiopia. Land degradation, population growth, stagnant technology, and drought threaten food security in the area. Drought or weather risk appears to have increased in recent years. The bio‐economic model is used to analyse the combined effects of land degradation, population growth, market imperfections and increased risk of drought on household production, welfare and food security. We find that the indirect effects of drought on household welfare through the impact on crop and livestock prices are larger than the direct production effects of drought. Provision and adoption of credit for fertiliser, although risky in itself, may lead to increased grain production and improved household welfare and food security. Provision of credit may have a negative effect on conservation incentives but this effect may be mitigated by linking a conservation requirement to the provision of credit for fertiliser.     

Capital market imperfections in economic transition: empirical evidence from Ukrainian agriculture

This article investigates the link between financing and investment in Ukrainian agriculture during economic transition. The main contribution of the study is to provide empirical evidence for the coexistence of financial constraints and soft budget constraints (SBCs). This is of particular importance because credit constraints and SBCs have completely different economic effects. The lack of differentiation between these forms of capital market imperfections yields overlapping effects of financing on investment and may therefore cause a misinterpretation of econometric results. Our empirical analyses are based on an econometric estimation of the Euler investment equations for 529 large farms from three Ukrainian regions between 2001 and 2005. The results confirm that financial variables significantly influence farms' investment, providing empirical evidence of an imperfect capital market in Ukrainian agriculture. It turns out that credit constraints in the Ukrainian agricultural sector are more important than SBCs. We show that the estimated level of financial constraints for profitable farms with access to loans is higher if both types of capital market imperfections are appropriately distinguished.     

The Farm Credit System as a Government-Sponsored Enterprise

This article examines the impact of government-sponsored enterprise status for the Farm Credit System on allocative efficiency in agricultural credit markets. The Farm Credit System was established originally to overcome market failures in these markets and to provide long-term funding at rates lower than private credit sources. Using a supply and demand model and an options model, the impact of subsidized interest rates is discussed. My results show that the default risk premium in interest rates is transferred from agricultural borrowers to taxpayers. There is evidence of deadweight losses and market distortions due to government-sponsored enterprise status for the Farm Credit System.     

The productivity of agricultural credit in India

This study examines the nature of the relationship between formal agricultural credit and agricultural Gross Domestic Product (GDP) in India, specifically the role of the former in supporting agricultural growth, using state level panel data covering the period 1995–1996 to 2011–2012. The study uses a mediation analysis framework to map the pathways through which institutional credit relates to agricultural GDP relying on a control function approach to tackle the problem of endogeneity. The findings from the analysis suggest that over this period, all the inputs are highly responsive to an increase in institutional credit to agriculture. A 10% increase in credit flow in nominal terms leads to an increase by 1.7% in fertilizers (N, P, K) consumption in physical quantities, 5.1% increase in the tonnes of pesticides, 10.8% increase in tractor purchases. Overall, it seems quite clear that input use is sensitive to credit flow, whereas GDP of agriculture is not. Credit seems therefore to be an enabling input, but one whose effectiveness is undermined by low technical efficiency and productivity.     

Collateral‐free lending with risk‐contingent credit for agricultural development: indemnifying loans against pulse crop price risk in India

This article addresses the problem of collateral‐free lending in the context of agricultural development. We investigate a viable alternative to traditional credit products through the development of risk‐contingent credit for operating loans and farm mortgages and apply the concept to agricultural loans for pulse crops in India. Risk‐contingent credit mitigates business and financial risk by reducing debt obligations depending on the embedded commodity options whose payoffs are linked with commodity price fluctuations. We analyze daily commodity spot prices for pulse crops in India and show how risk‐contingent structured financial instruments can be priced in practice.     

Heterogeneous Demand and Supply for an Insurance‐linked Credit Product in Kenya: A Stated Choice Experiment Approach

We employ a discrete choice experiment to elicit demand and supply side preferences for insurance‐linked credit, a promising market‐based tool for managing agricultural weather risks and providing access to credit for farmers. We estimate preference heterogeneity using primary data from smallholder farmers and managers of lenders/insurers combined with household socio‐economic survey data in Kenya. We analyse the choice data using maximum simulated likelihood and Hierarchical Bayes estimation of a mixed logit model. Although there are some similarities, we find that there is conflicting demand and supply side preferences for credit terms, collateral requirements, and loan use flexibility. We also analyse willingness to buy and willingness to offer for farmers and suppliers, respectively, for the risk premium for different attributes and their levels. Identifying the preferred attributes and levels for both farmers and financial institutions can guide optimal packaging of insurance and credit providing market participation and adoption motivation for insurance‐bundled credit product.     

关于辽宁省林权抵押贷款的调查报告

介绍了辽宁省林权抵押贷款业务的开展情况,规定了林权抵押贷款的定义,介绍了抵押物的范围、评估办法以及贷款的用途、比率、期限和利率。认为林权抵押贷款目前尚存在缺乏政策指导,农村金融机构网点较少,贷款利率过高,融资成本高,贷款范围过窄等问题。提出了应规范操作,制定适宜林业生产特点的信贷政策,建立多机构参与和多渠道融资模式,建立风险防范机制等建议。     

Competition between farmed and wild salmon: the Japanese salmon market

This article examines the Japanese market for salmon. This market is of interest, since it is the largest and most diversified salmon market in the world with wild and farmed species, from Europe and South and North America, competing in the same market. In contrast to the European Union (EU)‐ and U.S.‐markets, there have been neither trade conflicts nor trade restrictions. The Japanese market can hence provide information about the impact of bringing substantial quantities of a new product into a market, and the effect of large‐scale aquaculture on traditional fisheries. In this article, market integration between wild and farmed salmon on the Japanese market is examined, using both bivariate and multivariate cointegration analysis. Tests for the Law of One Price are also conducted. The results indicate that the species are close substitutes on the market, and that the expansion of farmed salmon has resulted in price decreases for all salmon species.     

Linkages between the farm and nonfarm sectors at the household level in rural Ghana: a consistent stochastic distance function approach

This article explores the effects within households of an expanding rural nonfarm (RNF) sector in Ghana. We ask whether the growing RNF sector allows for economies of diversification within farms, how it affects household input demands, and whether it has measurable effects in overall household production efficiency. We explore the intrahousehold linkages between agricultural and RNF activities, first assuming perfectly competitive input and output markets and then with market failures, in particular missing labor and credit markets. We then measure these linkages using a household level input distance function, finding high levels of inefficiency in Ghanaian farms. Also, there are cost-complementarities between the RNF sector and the agricultural sector, particularly with food crops in which the poorest tend to specialize. The expansion of the RNF sector increases demand for most inputs including agricultural land. Finally, we show that smaller farms tend to be more efficient, and that RNF output is helping the farm household to become more efficient, but the latter result is not robust.     

Risk, Wealth, and Sectoral Choice in Rural Credit Markets

We model the role of the informal credit sector in developing countries. The informational advantage of informal lenders is portrayed as the ability to monitor borrowers. Monitoring reduces the incentive problem and allows for contracts with lower collateral. This enables informal lenders to serve both individuals who cannot post the collateral required by the formal sector and those who are able but do not want to post collateral. The model is consistent with the conventional view of the informal sector as recipient of spillover demand from the formal sector. It also shows that the informal sector may provide partial insurance as the lower collateral requirement implies greater consumption smoothing for borrowers.     

The impact of farm credit in Pakistan

Both informal and formal loans matter in agriculture. However, formal lenders provide many more production loans than informal lenders, often at a cost (mostly loan default cost) higher than what they can recover. For example, the Agricultural Development Bank of Pakistan (ADBP), providing about 90% of formal loans in rural areas, incurs high loan default costs. Yet, like other governments, the Government of Pakistan supports the formal scheme on the grounds that lending to agriculture is a high risk activity because of covariate risk. Hence, such policies are often based on a market failure argument. As farm credit schemes are subsidised, policy makers must know if these schemes are worth supporting. Using a recent large household survey data from rural Pakistan (Rural Financial Market Studies or RFMS), we have attempted to estimate the effectiveness of the ADBP as a credit delivery institution. A two‐stage method that takes the endogeneity of borrowing into account is used to estimate credit impact. Results reveal that ADBP contributes to household welfare and that its impact is higher for smallholders than for large holders. Nevertheless, large holders receive the bulk of ADBP finance. The ADBP is, thus, not a cost‐effective institution in delivering rural finance. Its cost‐effectiveness can be improved by reducing its loan default cost and partially by targeting smallholders in agriculture where credit yields better results.     

Credit constraints and productivity in Peruvian agriculture

This article evaluates the performance of a rural credit market in Peru. We develop a model that shows that collateral requirements imposed by lenders in response to asymmetric information can lead not just to quantity rationing but also to transaction cost rationing and risk rationing. Just like quantity rationing, these two additional forms of nonprice rationing adversely affect farm resource allocation and productivity. We test the insights of the model using a panel data set from Northern Peru. We estimate the returns to productive endowments for constrained and unconstrained households using a switching regression model. We find that, consistent with the theory, productivity is independent of endowments for unconstrained households but is tightly linked to endowments for constrained households. We estimate that credit constraints lower the value of agricultural output in the study region by 26%.     

Coping with systemic risk in index‐based crop insurance

The implementation of index‐based crop insurance is often impeded by the existence of systemic risk of insured losses. We assess the effectiveness of two strategies for coping with systemic risk: regional diversification and securitization with catastrophe (CAT) bonds. The analysis is conducted in an equilibrium pricing framework which allows the optimal price of the insurance and the number of traded contracts to be determined. We also explore the role of basis risk and risk aversion of market agents. The model is applied to a hypothetical area yield insurance for rice producers in northeast China. If yields in two regions are positively correlated, we find that enlarging the insured area leads to higher insurance premiums. Unless capital market investors are very risk averse, a CAT bond written on an area yield index outperforms regional diversification in terms of certainty equivalents of both farmers and insurers.     

Spatial integration at multiple scales: rice markets in Madagascar

The dramatic increase in the price of rice and other commodities over the past year has generated new interest in how these markets work and how they can be improved. This article uses an exceptionally rich data set to test the extent to which markets in Madagascar are integrated across space at different scales of analysis and to explain some of the factors that limit spatial arbitrage and price equalization within a single country. We use rice price data across four quarters of 2000–2001 along with data on transportation costs and infrastructure availability for nearly 1,400 communes in Madagascar to examine the extent of market integration at three different spatial scales—subregional, regional, and national—and to determine whether non-integration is due to high transfer costs or lack of competition. The results indicate that markets are fairly well integrated at the subregional level and that factors such as high crime rates, remoteness, and lack of information are among the factors limiting competition.     

Rural Banking and Landless Labour Households: Institutional Reform and Rural Credit Markets in India

Financial liberalization is a key component of programmes of orthodox structural adjustment. Financial reforms include, among other things, the removal of controls on interest rates and the abolition of programmes of directed credit. Here the effect of financial sector reform on rural banking and rural credit transactions in India is examined, with particular reference to landless labour households. First, the trends in selected indicators of rural banking at the national level over the last 30 years are reviewed. Secondly, longitudinal data for a village in Tamil Nadu are used to examine changes in patterns of indebtedness and credit transactions among landless labour households. It is argued that the exploitation of landless labour households in the credit market has intensified with the introduction of financial reforms. Lastly, the policy envisaged as an alternative to the formal credit sector in the countryside – the establishment of micro–credit projects – is examined critically.     

Livestock and land share contracts in a Hindu society

This article examines factors related to a livestock rental market in western Nepal and assesses whether this market is associated with caste differentiation and land rental market participation. Theoretical models for asset‐rich (i.e., high‐caste) households, rich in land and livestock, and asset‐poor (i.e., low‐caste families) households are presented to provide logical explanations for the existence of a livestock rental market and the synergy between livestock and land rental markets participation. A combination of double hurdle models and bivariate‐ordered probit models were used to test the implications of the models. Consistent with the theoretical models, land‐ and livestock‐rich high‐caste households were more likely to rent out land and/or livestock, whereas land‐ and livestock‐poor and credit constrained low‐caste households were more likely to rent livestock and land from others. Participation in the two markets was positively correlated, indicating a synergistic relationship that may be due to production and transaction costs reducing benefits. Policies that can enhance the allocative efficiency of livestock and land rental markets can improve equity as well as efficiency of land use in Nepal. Provision of livestock credit to land‐poor low‐caste households is also crucially dependent on their access to more long‐term contracts for land.     

信贷政策调整和房地产价格的动态关系--基于VEC模型的分析

文章从理论角度分析了银行信贷同房产价格间的关系和作用机制,并在此基础上利用2010年1月-2019年6月全国房产价格月度数据建立VEC模型进行实证研究。结果表明,银行信贷和房产价格具有双向因果关系:房价波动对信贷波动具有显著影响,而信贷波动对房价波动影响相对有限。文章认为房价波动通过短期信贷、抵押物价值和银行资本金三种渠道来影响信贷供给。因此,政府在调整信贷政策时需要考虑房价波动的影响。     

Access to credit, plot size and cost inefficiency among smallholder tobacco cultivators in Malawi

Using data from the Malawi Financial Markets and Household Food Security Survey, this paper examines the effect of access to credit from formal sources, and tobacco plot size, on cost inefficiency among Malawian smallholder tobacco cultivators. Farm‐specific cost inefficiency is estimated within the framework of stochastic frontier analysis. Access to credit is measured as the sum of household members' self‐reported credit limits at credit organisations, arguably a truer measure of an exogenous credit constraint than credit program participation or actual loan uptake. It is found that tobacco cultivation is significantly less cost inefficient per acre on larger plots. While access to credit by itself has no statistically discernible effect on cost inefficiency, it reduces the gain in cost efficiency from a larger plot size.