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Drought-related climate risk and access to credit are among the major risks to agricultural productivity for smallholder farmers in Kenya. Farmers are usually credit-constrained due to either involuntary quantity rationing or voluntary risk rationing. By exploiting randomized distribution of weather risk-contingent credit (RCC) and traditional credit, the authors estimate the causal effect of bundling weather index insurance to credit on uptake of agricultural credits among rural smallholders in Eastern Kenya. Further, the authors assess farmers' credit rationing, its determinants and effects on credit uptake.

The study design was a randomized controlled trial (RCT) conducted in Machakos County, Kenya. 1,170 sample households were randomly assigned to one of three research groups, namely control, RCC and traditional credit. This paper is based on baseline household survey data and the first phase of loan implementation data.

The authors find that 48% of the households were price-rationed, 41% were risk-rationed and 11% were quantity-rationed. The average credit uptake rate was 33% with the uptake of bundled credit being significantly higher than that of traditional credit. Risk rationing seems to influence the credit uptake negatively, whereas premium subsidies do not have any significant association with credit uptake. Among the socio-economic variables, training attendance, crop production being the main household head occupation, expenditure on food, maize labour requirement, hired labour, livestock revenue and access to credit are found to influence the credit uptake positively, whereas the expenditure on non-food items is negatively related with credit uptake.

The study findings provide important insights on the factors of credit demand. Empirical results suggest that risk rationing is pervasive and discourages farmers to take up credit. The study results also imply that credit demand is inelastic although relatively small sample size for RCC premium subsidy groups may be a limiting factor to the authors’ estimation.

By implementing a multi-arm RCT, the authors estimate the factors affecting the uptake of insurance bundled agricultural credits along with eliciting credit rationing among rural smallholders in Eastern Kenya. This paper provides key empirical findings on the uptake of RCC and the effect of credit rationing on uptake of agricultural credits, a field which has been majorly theoretical.

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 study is to explore the demand side factors affecting financial inclusion in general and credit uptake in particular.

The present study is descriptive and exploratory in nature and is purely based on primary data. The data collection instrument has been scientifically after thorough review of literature and seeking expert opinion. Primary data have been collected from the respondents of lower socioeconomic class in selected rural areas in the State of Maharashtra, India. Exploratory technique like factor analysis and structural equation modelling have been used to identify the inter-relations between financial inclusion and underlying barriers.

The study concludes that there are major latent issues that determine the uptake and usage of financial services, major being “operational and implementation challenges”, “financial literacy” and “affordability”. The “usage” aspect further impacts financial inclusion along with “access” variable. These are some of the most important factor for creating demand-driven approach towards financial products and services specially credit. The author concludes that the identified latent barriers with respect to the “usage” dimension of financial inclusion require greater policy attention so that it can complement the supply-side measures.

The study establishes that merely having “access” through bank account ownership will not fulfil the objective of financial inclusion, and it is the “usage”, which is also important to realize the full potential of financial inclusion at the bottom of the pyramid. So, policy actions should be directed toward enhancing the “usage” aspect of financial services. The “usage” dimension could be enhanced through targeted interventions to mitigate the effect of identified latent barriers.

Though researchers have made a mention of demand-side barriers to financial inclusion, detailed study on the topic is missing. The study is one of its kinds in exploring the severity of various demand-side barriers that determine financial inclusion. In the context of emerging economies like India, financial inclusion is often measured in terms of banking outreach and “access”. There are limited studies capturing the “usage” dimension of financial inclusion.

The purpose of this paper is to investigate the effects of land titles and farmers’ characteristics on their participation in the formal credit market in a land reform area of Thailand.

Data collected on 218 farm households in one land reform area of Western Thailand are analyzed with a generalized double-hurdle model to calculate the probability of farm households to take a loan and the size of the loans from a formal credit institute, the Bank for Agriculture and Agricultural Co-operatives.

The results suggest that the absence of a title, whether fully or partially transferable, decreases significantly the participation to the formal credit market and the size of the loans. However, this effect was small. The findings also indicate that the farm assets, household head’s gender and age, and the labor force per hectare were significantly influencing the probability of participation to borrow money as well as the amount borrowed.

The possibility given to farmers having title with partial transferability to provide alternative types of guarantees reduced the gap in loan-taking between the different types of land title. However, the presence of a land title, transferable or not, had a significant influence on farmers demand and success in obtaining credit.

The paper investigates the possible effects of a unique partial land rights in Thailand that guarantees only security of use of the land but prohibits sale.

The purpose of this paper is to investigate the impact that several of these factors have on a consumer’s decision to hold a credit card, as well as those involved in determining the level of credit card limit.

Potential explanatory variables were identified in the literature, then used to build a binary logit model to test the impact of the card and consumer characteristics on credit card ownership. Data were collected via a structured interview of 409 consumers living in Hebei Province, China.

The results indicate that convenience in use, level of credit card interest rates, the application process, number of people in the household, a rewards programme, marital status, credit limit and age influence the likelihood of the respondent holding a credit card. Further, an anaylsis shows that the number of credit cards held, duration of holding a credit card, monthly credit card purchasing volume and having a degree at the tertiary level, are significantly and positively related to different levels of credit limit.

In summary, in order to attract more consumers to credit card use, the banks and credit card companies should consider making it more convenient for consumers to use their credit cards. Moreover, banks can increase their networking and degree of cooperation with merchants to increase the acceptance of payment by credit card. The most heavily used businesses such as supermarkets and smaller retailers, where consumers purchase goods frequently, would be good targets for banks’ attention. In addition, banks might also improve credit card reward programmes to make these more efficient and perhaps increase the size of the rewards customers can earn through card use.

The study assesses the relationship between institutional credit access and farmer satisfaction using contextual mediating and moderating variables. This study identifies various socioeconomic, service features and service quality determinants impacting institutional credit access.

The authors used the stratified random sampling method and selected 512 farmers from 40 villages in Maharashtra, India. Initially, the study employed probit regression analysis to identify the credit adoption determinants. Subsequently, the relationship between institutional credit and farmer satisfaction is identified through moderated-mediation analysis using the Statistical Package for the Social Sciences and Analysis of a Moment Structures (SPSS - AMOS model).

Probit model's results suggest that socioeconomic variables like education and bank distance; service quality variables like prompt service and employee behavior; and service characteristics variables like the interest rate, loan sanction time, repayment period, and documents for loan application significantly affect institutional credit adoption across the smallholders. Subsequently, the results of the moderating-mediation analysis show that working capital, perceived value and risk perception partially mediate the association between credit adoption and farmer satisfaction. The mediated effects are further moderated by farm advisory services and financial knowledge and skills.

The study is restricted in opportunity due to primary data, and it considers only farmers' perspectives to measure service quality and service features as constraints for institutional credit access.

The government, nongovernment organizations, civil societies and private institutions should provide sufficient financial knowledge and training to the farmers via extension services to utilize the borrowed capital effectively to bring economic welfare and mental satisfaction.

The existing literature rarely considered banking service quality and service features (demand side) variables as determinants of credit access. Further, the study brings novelty in examining how the capital management cognitive factors of the formal credit adopters influence the relationship between credit access and satisfaction.

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.

The purpose of this paper is to weigh up the effect of index-based livestock insurance (IBLI) on loan take up behavior of the pastoral households in the Borena zone of Southern Ethiopia. Although the insurance was introduced over the last decade and it appears to have promising welfare benefit, there is a lack of pragmatic evidence on its effect in leveraging the household’s future wealth for the hope of better productivity in the present.

The authors analyze household-level unique panel data collected in three rounds using descriptive statistics and the fixed effect model estimated by least squares dummy variable analysis.

The authors found that the IBLI appears to have a positive and significant effect on the loan uptake behavior of the herding households.

This increased likelihood of loan uptake suggests that the insurance can reduce the cognitive cost of loan default that would occur due to weather shocks and build-up of the household’s confidence to uptake loan. Consequently, this likelihood can promote the creditworthiness of the insured and reduce his/her fear and worry regarding the possibility of loan delinquency.

The paper is, except where otherwise stated, entirely new work.

Credit is essential in the farm business because it facilitates the adoption of productive technologies such as irrigation. However, access to credit remains a significant hurdle for sub-Saharan Africa, including Ghanaian farmers. Therefore, the authors assessed credit utilization and the intensity of borrowing by irrigated rice farmers in the Upper East region. In addition, how extension moderates the amount borrowed was analysed.

The multistage sampling approach was used in the study. The Tono and Vea irrigation schemes were purposively selected. Proportionally, 318 rice farmers were sampled from the Tono irrigation scheme and 159 from the Vea irrigation scheme. Cragg's double hurdle and moderation analysis were used.

It was uncovered that gender, age, years of farming, total farm size, rice farm size, contract farming and off-farm employment explain farmers' decision to borrow. On the other hand, the intensity of borrowing was influenced by gender, age, years of farming, rice farm size, contract farming and the number of extension contact. The moderation analysis revealed that extension contact improves the amount borrowed by farmers.

While there are irrigated rice farmers in other regions of Ghana, this study was limited to rice farmers under the Tono and Vea Irrigation schemes in the Upper East region.

This study investigated the moderating role of extension contact on amount borrowed in Ghana. This makes a modest addition to the limited literature on the moderating role of extension and credit access.

This paper investigates constraints to yield enhancing technology adoptions, highlighting credit using data pooled from the first three waves of the Ethiopian socio-economic surveys.

Direct elicitation methodology is used to identify household's non-price credit rationing status. The panel selection model specified to examine causal effects of credit constraint on adoption variables allows us to tackle self-selection into adoptions and potential endogeneity of credit constraint while controlling for unobserved heterogeneity in both the selection and main equations.

Results show that about 54% of sample households face credit rationing, predominantly demand-side risk rationing. There is a negative association between measures of credit constraint status and adoption variables. The effect is stronger when the demand-side credit rationing is accounted for and when within household variation in credit constraint status overtime is considered as opposed to across constrained and unconstrained households.

Expanding physical access to institutional credit alone may not necessarily spur increased uptake of credit and instant investment by farm households. For a majority of them to take advantage of available credit and improved technology, interventions should also aim at minimizing downside risks.

This paper incorporates the role of downside risk in influencing farmer's decisions to uptake credits and subsequently his/her adoption behaviors. The researcher approached the topic by state-of-the-art method which allows obtaining more reliable results and hence more specific contributions to research and practice.