Abstract

PurposeDrought-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.Design/methodology/approachThe 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.FindingsThe 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.Research limitations/implicationsThe 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.Originality/valueBy 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.

Highlights

  • Rural households from low income countries have listed unfavourable weather conditions as one of the most important risks affecting productivity and household resilience (Cole., 2012)

  • Weather risks and climate shocks are critically important constraints to wealth accumulation, for those in rural areas who are either engaged in agricultural activities or have their livelihoods tied to the well-being of the farming sector (Barrett et al, 2007)

  • 4.6 Conclusions Weather related risks, drought, is among the major hurdles facing smallholder farmers in Kenya. This is further compounded by capital constrictions, credit inaccessibility and existing credit rationing and risk rationing conditions

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Summary

Introduction

Rural households from low income countries have listed unfavourable weather conditions as one of the most important risks affecting productivity and household resilience (Cole., 2012). Analysis of household risks from Malawi by Giné & Yang (2009), from Ethiopia by Dercon and Christiaensen (2011) and from India by Cole et al (2013) confirm that rainfall variability and shocks are the largest source of risk to agricultural productivity and consumption. Weather risks and climate shocks are critically important constraints to wealth accumulation, for those in rural areas who are either engaged in agricultural activities or have their livelihoods tied to the well-being of the farming sector (Barrett et al, 2007). Many farmers from developing countries have low capacity to adapt to weather related risks. Governments and development agencies are not spared as they face sudden demands for relief, reconstruction, and recovery (Carter et al, 2014; Chantarat et al, 2007; Chantarat et al, 2008; Cummins & Mahul, 2009)

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