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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.

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 rich financial knowledge of small and micro business owners helps to enhance the formal credit demand of small and micro enterprises and change the credit channel preference of small and micro enterprises. The purpose of this paper is to explore the relationship between financial knowledge and the credit practices of 290 small and micro enterprises in China’s Jiangsu and Shandong provinces based on their formal credit needs and preferred channels of credit.

To measure the degree of the credit constraints of small and micro enterprises, this study applied questionnaire surveys to obtain information on the credit demand and supply of 363 small and micro enterprises in the Jiangsu and Shandong provinces. Firstly, a probit model is used to study the influence of financial knowledge on the formal credit demand and credit acquisition possibility of small and micro enterprises, and tool variables and a biprobit model are used to deal with the possible errors of endogenesis and sample selection. Secondly, a tobit model is used to study the influence of financial knowledge on the credit access of small and micro enterprises in different channels, and tool variables and a Heckman two-stage model are used to deal with endogenesis and possible errors in sample selection. Finally, this study carried out a series of robustness tests to make the conclusions more reliable.

This study is based on the perspective of the knowledge-based view to explore the impact of financial knowledge on the credit behaviour of small and micro enterprises. This study found that financial knowledge can increase a small and micro enterprise’s formal credit needs and drive the small and micro enterprise to actively apply for loans. Furthermore, financial knowledge has a significant and positive influence on the acquisition of formal credit and approved lines of formal credit and a significant and negative influence on the acquisition of informal credit and approved lines of informal credit.

The results indicated that increased financial knowledge can increase the likelihood of a small and micro enterprise to prefer formal credit and reduce the likelihood of it to prefer informal credit channels.

Financial knowledge is the ability to master basic economic knowledge and financial concepts as well as the ability to use knowledge to manage and allocate financial resources. The rich financial knowledge of small and micro business owners helps to enhance the formal credit demand of small and micro enterprises and change their credit channel preference. This paper offers a new perspective on the problems of credit constraint, low participation in formal credit markets and high participation in private credit markets among China’s small and micro enterprises and valuably supplements the research literature.

The problem of inaccessibility of finance for farm investment is a common phenomenon among farmers, especially the rural dwellers. Thus, there is a need to know how the accessibility of informal finance can be increased to increase farm investment. Therefore, this study evaluates farmers’ access to informal finance and its contribution to farm investment among rural farmers in Northcentral Nigeria.

A three-stage random sampling technique was employed to select 160 farmers. Primary data collected were analysed with descriptive statistics and the Heckman selection model.

The study revealed that cooperative society is the major informal means of loan acquisition used by the farmers followed by Rotational Savings and Credit Associations (RoSCAs). Informal loans contributed to agricultural investment through the various operational activities involved in production. Factors influencing farmers’ access to informal loans were the age, farm size and income of the farmers. Interest charged, farmers' age, farming experience, household size, education and loan duration were the drivers of the amount borrowed from the informal financing sector.

The findings of the study call for policies that will sustain informal financial institutions in developing economies, like Nigeria. Thus, the government through its regulatory agencies should assist informal finance providers with the necessary resources to achieve more goals. This is because the informal credit lenders help in bridging financial gaps created by formal financial institutions, such as commercial banks.

Unlike the previous research studies, this study investigated the driving factors of the amount borrowed from informal finance and its use in farm investment.

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.

The purpose of this paper is to examine the extent to which individual risk attitude determines a Cambodian smallholder's choice between a commercial informal loan and a credit from a licensed microfinance institution.

The paper analyzes a sample of smallholder farmers in the Ratanakiri province in northeastern Cambodia, a country with a long history of microfinance and a saturated microcredit market. Employing a binary and a multinomial logit model, this paper assesses the effect of individual risk attitude on the choice of a financial instrument.

The results reveal a statistically significant relationship between the choice of a credit source and an individual's risk attitude: On average (c.p.) the less risk averse the smallholder is, the more they tend to prefer an unlicensed commercial lender.

The findings suggest that less risk-averse individuals tend to take up riskier and generally more expensive informal loans. Measures to increase the safe access to financial services for less risk-averse borrowers as well as improvements in financial literacy should be undertaken to protect smallholders from taking risky choices.

Although existing studies have examined the importance of risk attitudes between credit provider and borrower, they focus mainly on the lender's perspective. This paper provides new insights on how risk attitude influences the borrower's choice in Cambodia. Thus, this study is relevant for policymakers in countries with oversaturated microcredit markets and a high prevalence of informal lenders.

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.

The purpose of this paper is to analyze the determinants of awareness and use of credit sources. The paper attempts to answer the critical question: is awareness of credit sources prerequisite for their use?

This study is conducted in Assam, India, and uses a two-stage econometric model to reduce possible selection bias.

This study argues that awareness of credit sources may be a necessary but not sufficient prerequisite for use. It is found that, in general, formal, semiformal and informal sources attract different classes of the population with respect to economic and social indicators.

The study recommends expanding the scope of semiformal and informal credit sources in rural areas of Assam only for income generating activities with proper market linkages. The possible limitation of the study can be due to exclusion of the role of traditional community-based organizations in rural Assam while analyzing the awareness and use of credit sources.

The study contributes to the literature by assessing the probable differences among formal, semiformal and informal credit sources with respect to their determinants of awareness and use.

It is widely believed that ICT has a significant influence on the daily life of the poor and has positive spillover effects in their livelihoods. Mobile phones are one of the few ICT innovations that have found their way into the hands of the poor residing in remote and rural areas. In Ethiopia, mobile phones are recently introduced but got an acceptance from everyone including the rural poor; in five years’ time, mobile phones subscription has increased from less than 4% to more than 40%. Empirical evidence generally documents the positive role mobile phones play in facilitating the development efforts of poor households. However, using panel data from Ethiopia, the current paper explores a less investigated issue of the possible effects of mobile phone adoption on the credit uptakes of the rural poor who are mostly neglected from the formal credit markets but finance their credit demand from informal sources including relatives/friends.

To investigate the relationship between mobile phones and credit uptake and/or loan size, one can use different empirical strategies. For partly unleashing the endogeneity problem, an instrumental variable estimation approach is adopted in this paper. To deal with the endogeneity problem, one may consider using the linear IV approach or the control function. But the outcome variable and the endogenous variable are binary in nature, and the usual trend is to use the linear IV models or control functions, which do not consider these binary natures of the variables. To this end, a special regressors estimator is adopted, mostly used when both the dependent and the endogenous variables are binary in nature.

The econometric results suggest mobile phones are positively associated with the credit uptake of rural households, especially credit uptake from informal sources. Households with mobile phones are found to have 4%–14% higher probabilities of credit uptake and about 6%–17% in the case of credit from informal sources. Besides, households with mobile phones are found to have about ETB 65 (USD 3.42) higher loan size and about ETB 78 (USD 4.11) higher amount of loan in the case of a loan from the informal sources. Thus, policy-makers and financial providers working on providing credit in rural areas need to exploit the use of mobile phones in reaching out to the rural poor.

The author attests the fact that the work described has not been published previously and that it is not under consideration for publication elsewhere. Besides, it is the original work of the author.