10 pages., he impact of mobile money services in sub-Saharan Africa have been largely recognised. However, empirical studies are principally lacking on the factors influencing the decision to own a mobile phone (first hurdle), register with mobile money (second hurdle) and the intensity of use of mobile money services (third hurdle). This study examined the determinants of the mobile phone ownership, drivers of registration (participation) of mobile money services, and the intensity of use of mobile money services in rural Ghana by employing the triple hurdle approach. The first and second hurdle were analysed using the logit model while quasi-poisson regression was used to analyse the third hurdle. The analysis from the cross-sectional data showed that the decision to own a mobile phone was driven by household size, marital status, the farm size, access to electricity, income status and the type of occupation engaged, whereas the decision to register with mobile money was influenced by the age, educational status, marital status, household size, farm size and the type of occupation engaged in by the household head. The intensity of usage of mobile money services was influenced by the age of the household head, higher educational level, marital status of the household head, household and farm size as well as the distance of the household heads from the mobile money agent which directly influences the intensity of use of mobile money services by household heads. The study recommends that strategies that promote access to electricity and occupation in the formal sector or both farming and trading in the rural communities should be promoted. Furthermore, policy attention should focus on location, farmers and farm characteristics.
6 pages, Background: An effort was made by the Ethiopian government to increase the level of technical efficiency of farmers across the country. However, due to climate change, smallholder farmers were facing challenges to increase technical efficiency in crop production. Adaptation to climate change is crucial to uphold and increase food crop productivity. This study analysis the impact of climate change adaptation and policy issues on food crop production efficiency in Kellem Wollega, Ethiopia.
Methods: The data was gathered from 400 randomly selected food crop smallholder farmers. The Cobb-Douglas production function was used by including the climate change adaptation measures as explanatory variables in technical inefficiency. Simulation was made to adaption measures that can be influenced by the policy variables to see their impact on the level of technical efficiency.
Result: The finding show that the use of adaptive practices (multiple crop type, improved crop varieties, adjusting planting dates and irrigation) had a significant and positive effect on technical efficiency whereas land fragmentation reduces efficiency level. Regarding simulation of policy variables the result show that the mean technical efficiency would increase with rising level of improved crop varieties, adjusting planting dates and irrigation practices. The results of the simulation of land fragmentation climate change adaptation variables show that the mean technical efficiency declines as a result of land fragmentation. Empirical results reveal that with appropriate policy intervention (climate change adaptation measures) the technical efficiency level of food crop farmers can be enhanced.
