The study investigated risk perception, adoption of risk management instruments and the intensity of adoption among irrigated-rice farmers in the Upper East Region of Ghana.
Access to credit remains a significant hurdle for sub-Saharan African farmers. This study assessed credit utilization and the intensity of borrowing by irrigated rice farmers in the Upper East region of Ghana.
This study from Ghana investigates the willingness to pay (WTP) for index-based drought insurance coupled with agricultural loans by product design and gender, using a contingent valuation method.
In Ghana, insured loans increased farmers' likelihood of receiving credit by between 15 and 21 percentage points. There was no impact on the likelihood that farmers apply for credit but there was an increase in the likelihood of loan approvals of between 17 and 25 percentage points.
This study from Ghana found that index insurance lowers overall demand for agricultural loans while farmers appear to prefer micro-level insurance over meso‐level insurance. The study also shows that farmers are willing to pay to avoid basis risk.
Increasing agricultural efficiency via technology adoption remains a high priority among development practitioners. One potential tool for furthering this objective is using drought index insurance to increase access to credit.
Observations of smallholder farmer inefficiency often reflect failure to control for nature. An example would be Ivorien rice farmers effected on their production frontier once inconsistent control for soils, rain, and pests are involved. So perhaps a non-uptake adoption is optimal as well? This presentation is based on the AMA Innovation Lab projects for the Mind the Gap Workshop.
A randomized trial in urban Ghana for microenterprises separated participants by providing advice from an international consulting firm, cash, both, or nothing. The treatments led to immediately expected results, however, no treatment let to higher profits on average so businesses reverted to previous practices.
In this paper, we employ a dynamic, stochastic, heterogeneous agent model where farm households have access to contingent credit and make savings, technology and loan repayment choices.
