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The design of effective policies that increase access to agricultural credit should consider understanding credit constraint farmers’ groups and their response to changes in the credit conditions. To contribute to this understanding, this study surveyed farmers from Chile and classified them into five credit constraint categories discussed in credit literature. In addition, these farmers indicated how they would react to a series of hypothetical conditions related to changing interest rates, loan maturity and grace periods. Their responses were employed to measure credit demand scores (i.e. relative elasticities). Regression tests evaluated how different types of farmers reacted to changing credit conditions.

Farmers from Chile were surveyed using a mix of random and convenience sampling. Surveyed farmers were classified into five credit constraint categories proposed by previous research. Farmers rated their demand for credit on a five-point Likert-type scale for hypothetical changes in interest rates, loan maturities and grace periods. Their responses were employed to measure credit demand scores or relative credit elasticities. The study evaluated credit elasticity as a function of farmers’ credit constraint and some control variables using several regressions, including OLS, ordered probit and hierarchical regression.

The study identified 44% unconstrained nonborrowing farmers, 23% unconstrained borrowers, 14% quantity-constrained, 16% risk-constrained and 3% transaction cost-constrained farmers. Unconstrained borrowers and quantity-constrained farmers responded most to changing interest rates and loan maturity conditions. In addition, unconstrained nonborrowers and risk-constrained farmers were statistically less sensitive to changes in credit conditions than unconstrained borrowers. This finding is significant because, as discussed, unconstrained nonborrowers represent 44% of our sample. Furthermore, risk-constrained farmers were the least sensitive to changes in interest rates and loan maturity across all other credit categories.

This study gives insights that can guide agribusiness policies to enhance access to credit in developing countries such as Chile. Agricultural credit capital institutions can better target their clientele by identifying farmers’ possible reactions before implementing policy changes to increase access to credit. This study’s credit constraint categorization and the results discussed can guide that identification. For instance, policies directed toward unconstrained borrowing farmers may find positive responses. However, implementing policies targeting the other three groups (unconstrained nonborrowing, risk-constrained and transaction cost-constrained farmers) is more challenging because these farmers are less responsive to changing credit conditions.

This article correlates farmers’ propensity to borrow and credit constraints across five categories of farmers. Prior research using this categorization framework has not identified farmers into the five groups. Furthermore, in addition to interest rate and loan maturity credit demand relative elasticity, this study adds the grace period elasticity, which has not been included in previous studies on agricultural credit.

In the developing countries, formal credit has dominant role for the development of agriculture sector. It increases the farmer's purchasing power for better farm inputs and agricultural technology for high crop productivity. The main purpose of this study is to examine the influence of socioeconomic characteristics of smallholder farmers for credit demand in Sindh, Pakistan.

A cross-sectional data set randomly collected from 90 smallholder farmers in Thatta district, Sindh, Pakistan, is examined. Descriptive statistics, correlation and the OLS regression method were used to demonstrate the important factors affecting the demand for formal credit.

The results revealed that formal education, experience of farming, landholding size, road access and extension contacts positively and significantly influenced the demand for formal credit.

This study is the first, to the best of authors' knowledge, to demonstrate the influence of various socioeconomic characteristics of smallholder farmers on demand for formal credit in Sindh, Pakistan. It also illustrates the imperative contribution to the literature regarding credit access and demand to improve the agricultural productivity.

This study simultaneously explores the nexus among formal, semiformal and informal credit markets and farm households' credit demand determinants in Vietnam.

This study uses a multistage stratified random sampling process for a survey of 648 smallholder farmers in the Red River Delta (RRD), Vietnam. The trivariate probit model (TVPM) is used to address the interdependence of farm households' credit demands in different credit markets.

The results reveal complementary relationships among two pairs of credit markets (formal versus informal and semiformal versus informal). There are dissimilarities among the determinants (household characteristics, household head's characteristics, credit history and geographic factors) of farm households' credit demands in different markets, reflecting segmentation of Vietnam credit markets.

The study's empirical findings are important for policymakers and credit providers to enhance farm households' access to credit for agriculture and to improve the operations of the three credit markets.

This is the first empirical study in Vietnam and one of few in other developing countries simultaneously exploring the determinants of credit demand in and interrelationships among all three credit markets to provide more comprehensive and accurate results.

The purpose of this paper is to evaluate the rural credit demand by providing a theoretical and econometric framework which controls the problem of selection bias.

The study is conducted in Assam, India, and uses a quasi-experiment design to gather primary data. Heckman two-stage procedure and type 3 Tobit model are used to evaluate the rural credit demand.

It is observed that, in general, rural households’ credit demand is influenced by the ability and capacity to work, the value of physical assets of the borrowers as well as some other lenders’ and borrowers’ specific factors. But, the direction of causality of the factors influencing borrowers’ credit demand is remarkably different across credit sources.

The study recommends that it is possible to provide an efficient credit demand estimate through a correct theoretical and econometric framework. The possible limitation of the study can be due to the exclusion of the role of “traditional community based organizations” in rural Assam while evaluating the credit demand, and therefore, this limitation is left to future research.

The study contributes to the literature by assessing the probable differences among formal, semiformal and informal credit sources with respect to rural credit demand.

The purpose of this paper is to determine the extent of risk rationing among potential rural borrowers in Mexico and China.

Using primary survey data from 730 farm households in the Shaanxi province of China and from 372 farmers in northeastern Mexico, the authors investigate factors associated with risk rationed, price rationed and quantity rationed farmers. The survey was instrumented to self-identify borrower typologies. In addition the authors created within the survey a discrete-choice credit demand build to determine borrower credit demand elasticities. The analysis applies a linear probability which the authors found to be consistent with multinomial and binary logit models.

The authors find in China the incidence of risk rationing in farmers to be 6.5, 14 percent for quantity rationed and 80 percent for price rationed. In Mexico, 35 percent of the sample is risk rationed, 10 percent quantity rationed and 55 percent price rationed. The results from China support the hypothesis that the financially poor are more likely to be quantity rationed; in Mexico, however, the level of education is found to be important in determining quantity rationed. In both countries, asset wealthy farmers are less likely to be risk rationed; however, income does not appear to have an impact. The paper provides evidence that the elasticity of demand for credit is different among the three credit rationed groups: risk rationed, price rationed and quantity rationed. Risk aversion and prudence are significantly correlated with risk rationing in China, while only risk aversion is significant in Mexico. The results suggest that efforts to enhance credit access must also deal with risk and risk perceptions.

Risk rationing is an important concept in the understanding of rural credit markets. The findings that only 6.5 and 35 percent of Chinese and Mexican farmers are in stark contrast to each other. For agricultural economies such as Mexico with a significant number of farmers being risk rationing, more effort should be put into financial education and financial practices, including perhaps the use of risk-contingent credit to remove collateral risk. As property rights in China evolve, and new laws are promulgated to permit borrowing against land use rights, the collateralization issue will become much more important in rural credit markets.

This paper is the first to investigate risk rationing in China and Mexico and one of the few research studies empirically investigating risk rationing. A comparative analysis of Mexico and China is enlightening because of the structural differences in the respective agricultural economies. The use of a credit demand build and the enumeration of individual credit demand elasticities is an original contribution to this literature.

Over the period, the role of finance has emerged significant in the socio-economic development of the women. There are two major types of finances, i.e. formal and informal ones. Thus, the purpose of this paper is to investigate first the determinants of the demand for credit and then the demand for these credit sources by women especially in urban slums.

In this study, a primary survey was conducted with the help of a structured questionnaire in slums of two major urban cities in India, i.e. Delhi and Mumbai. In total, 450 individuals were interviewed in each city.

This paper presents a range of significant socio-economic factors affecting the demand for credit and source of credit by women borrower in Delhi and Mumbai. Despite, the greater emphasis by the government to increase the formal credit utilization, the informal credit is still preferred.

The outcomes of the study are expectedly useful to various policymakers and banks in encouraging women to opt more for the formal credit. The government can follow the research outcomes to scale up the programmes and schemes targeted for women empowerment in urban slums.

The study is unique of its kind in doing a comparative analysis in slums of two differently located urban cities with large slum population.

The purpose of this paper is to investigate how entrepreneurs demand for external finance changed as the economy continued to be mired in its third and fourth years of the global financial crisis (GFC) and whether or not external finance has become more difficult to access as the recession progressed.

Using a large-scale survey data on over 30,000 UK small- and medium-sized enterprises between July 2011 and March 2013, the authors estimate a series of conditional probit models to empirically test the determinants of the supply of, and demand for external finance.

Older firms and those with a higher risk rating, and a record of financial delinquency, were more likely to have a demand for external finance. The opposite was true for women-led businesses and firms with positive profits. In general finance was more readily available to older firms post-GFC, but banks were very unwilling to advance money to firms with a high-risk rating or a record of any financial delinquency. It is estimated that a maximum of 42,000 smaller firms were denied credit, which was significantly lower than the peak of 119,000 during the financial crisis.

This paper provides timely evidence that adds to the general understanding of what really happens in the market for small business financing three to five years into an economic downturn and in the early post-GFC period, from both a demand and supply perspective. This will enable the authors to consider what the potential impacts of credit rationing on the small business sector are and also identify areas where government action might be appropriate.

Lack of access to credit is commonly held responsible for slow agricultural and rural development in low- and middle-income countries. This paper aims to investigate the contribution of demand- and supply-side factors, particularly the role of risk rationing, on credit application and uptake in the case example of Kyrgyzstan.

Toward this aim, the study explores the determinants of credit behavior of 1,738 Kyrgyz sample farm households from 2013 to 2016 waves of the nationally representative “Life in Kyrgyzstan” (LIK) dataset along a hierarchical regression model, differentiating between factors influencing individual demand for credit and factors influencing supply for credit.

The results of our analysis indicate the relative importance of demand-side factors for credit applications, reflecting farmers' perceived risk of credit default and loss of collateral. Meanwhile, supply-side factors, such as real credit constraints and collateral requests, have a stronger influence on credit uptake rates and overall loan sums. These findings highlight the role of risk rationing for agricultural investment, suggesting a stronger focus of development policy on improving risk-sharing mechanisms for farmers, e.g. by developing the agricultural insurance sector.

The paper contributes novel evidence on the role of risk rationing in shaping the demand for formal credits for increasing agricultural and rural investment in low-income transition economies. Previous research has mostly focused on the role of credit supply, thus underrating the potential contribution of individual risk attitude, risk experience and risk sharing.

Previous research suggests that inefficiencies in the small business market exist surrounding the availability of capital by Small and Microenterprises (SMMEs). Using data from the 1992 Characteristics of Business Owners Survey (CBO), the 2002 Survey of Business Owners (SBO), and the 2003 Survey of Small Business Finance (SSBF) this paper empirically estimates the "capital gap"- that is the unmet capital demand for business by SMMEs. We find that there is in fact a capital gap as the supply of capital available in the SMME market is not large enough to meet market demand. Given the importance of small businesses to economic vitality, growth, and recovery of the United States economy, the research provides critical and timely findings for policymakers and public finance managers seeking economic development and recovery

The purpose of this paper is to review the most recent scientific literature on the determinants explaining the demand for index-insurance, the impact of index-insurance and the existing links between insurance and credit. In this meta-analysis, the authors identify key discoveries on the potential of index-insurance in enhancing credit supply for smallholders and thus farm productivity.

Following a systematic literature search in Scopus and Web of Science, relevant empirical articles were identified by using the following criteria search algorithm: “insurance” and (“weather” or “micro” or “area?based” or “rain*” or “livestock” or “index”), and ((“empiric*” or “experiment” or “trial” or “RCT” or “impact”) or (“credit” or “loan*” or “debt” or “finance”)). The authors identified 1,133 related papers, 110 of which were selected as closely matching the study criteria. After removing duplicates and analysing each document, 45 papers were included in the current analysis. The framework for addressing insurance and credit issues, in the paper, entails three subsequent themes, namely, adoption of insurance, impact of insurance and links between insurance and credit.

It is not confirmed yet that demand for insurance is indeed hump-shaped in risk aversion and the functional form of this relationship should be tested in more detail. This also holds for the magnitude of the effect of trust and education on actual demand. Furthermore, it is unclear to what extent other risk mitigation strategies form complements or substitutes to index-insurance. Lastly, the interaction between basis risk and price is important to the design of index-insurance products. If basis risk and price elasticity are indeed highly correlated, products that diminish basis risk are crucial in increasing demand. On the impact of bundled products, e.g. combination of insurance and credit, limited empirical research has been conducted. For example, it is unknown to what extent credit suppliers would react to the insured status of farmers or what the preferences of farmers are when it comes to a mix of financial products. In addition, several researchers have suggested that microfinance institutions or banks could insure themselves against covariate risk, yet no empirical evidence about this insurance mechanism has been conducted so far.

The authors based the research on scientific literature uploaded in Scopus and Web of Science. Other potentially insightful grey literature was not included due to lack of accessibility. Given the research findings, there is plenty of opportunity for further research particularly with regard to the effects of bundled products, e.g. insurance plus credit, on demand for index-insurance, supply of credit, loan conditions and impact on farm productivity and farmers’ well-being.

Microfinance institutions, insurance companies, NGOs, research institutions and universities, particularly in developing countries, will be interested to learn about the systematic review of scientific research done in the area of insurance and credit for agriculture and the possibilities for application in their own practice of supplying these financial products.

A rigorous understanding of the potential of index-insurance and credit is essential for identifying the right mix of financial products that help smallholder farmers to increase farm productivity and their own well-being.

The paper is valuable due to its rigorous evaluation of existing theoretical and empirical research around issues explaining the degree of adoption and impact of index-insurance and that of bundled financial products (i.e. index-insurance plus credit). The paper has the potential to become essential reading for academics, practitioners and policy-makers interested in researching and putting in practice the best options leading to greater farm productivity and well-being in developing countries.