Purpose The purpose of this paper is to examine the impact of informal credit access on agricultural productivity in rural Ghana. Design/methodology/approach Data sets from the Ghana Feed the Future baseline survey involving a total sample of 2,437 rural farm households were used. In order to address the problem of endogeneity and sample selectivity bias, the endogenous switching regression (ESR) model was employed to examine whether rural farm households’ with access to informal credit and those without access differ in terms of their productivity levels and whether access to informal credit affects agricultural productivity. Findings Estimates from the ESR show that access to informal credit significantly promotes agricultural productivity. Specifically, farmers with access to informal credit were able to achieve a yield of 48.42 kg/ha more than their counterparts without informal credit access. In terms of the counterfactual, farmers without informal credit access would have increased their yield by 57.61 kg/ha if they were to have access to informal credit. Research limitations/implications The study was restricted to the savannah ecological zone of Ghana. This limits the extent of generalisation of results. Originality/value This study provides a rigorous econometric analysis of the impacts of access to informal credit on agricultural productivity in rural Ghana. The study contributes to the current debate on the link between access to informal credit and agricultural productivity and provides valuable input for policymakers.

Previous studies that analysed loan defaults have imposed the restrictive assumption that

The Ghanaian government began implementing the National Health Insurance Scheme (NHIS) in 2005, anchored on the universal health coverage principle. However, informal sector workers contribute to the low enrolment into the scheme. This paper examines the factors that influence enrolment status in Ghana's NHIS among individuals in the informal sector. The study employed the fixed-effects logit model, using the Ghana Socioeconomic Panel Survey datasets. The findings revealed that gender, age, education, marital status, household size, physical activity, income, savings and subjective social welfare determine enrolment decisions of persons in the informal sector. Drivers of NHIS enrolment for male and female household heads were secondary education and household size. Heterogeneously, age, Junior High School education, married, physical activity, subjective social welfare and savings influenced only male-headed households' enrolment status. The study shows differences in enrolment status among rural and urban residents, as age, education, marital status, household size, and physical activity influenced rural residents, while for urban inhabitants', savings determined their NHIS enrolment decisions. However, gender, obesity, income and subjective social welfare predicted enrolment decisions for rural and urban residents. Finally, two variables, gender (male) and physical activity predicted the NHIS enrolment decision among the poor, whereas subjective social welfare and savings influenced the wealthiest enrolment decisions.

No abstract

No abstract