8 - The Impact of Short Message Services (SMS) Weather Forecasts on Cost, Yield and Income in Maize Production: Evidence from a Pilot Randomised Controlled Trial in Bembèrèkè, North Benin

Abstract

In this study we analyse the impact of weather forecasts provided to smallholder maize farmers through mobile phone short message service on self-reported labour costs, crop yield and income. We conducted a pilot field experiment, involving 331 randomly selected eligible farmers in six villages. Randomisation was done at the village level. We used three regression specifications to estimate the impacts: Ordinary Least Squares (OLS), Generalised Estimating Equations (GEE) with a small sample correction and Randomisation Inference (RI). We found that the treatment and control groups were well balanced. Farmers in the treatment group recorded lower labour costs but higher crop yield and income levels. Both the direction and the magnitude of the impact estimates were consistent across the three regression specifications, but significant with the RI model only (for labour costs and yield) or the RI and GEE models (for income). Weather forecasts can have an impact on smallholder farmers’ labour, yield and income. These findings are strong evidence of the possibility of using weather-related information and mobile phones to build smallholder farmers’ resilience to climate variability. Yet more research is required to build a solid evidence base to inform agricultural policies. Rosaine N. Yegbemey, Laboratoire d’Analyse et de Recherches sur les Dynamiques Economiques et Sociales (LARDES), Faculté d’Agronomie, Université de Parakou, Bénin. Email: ynerice@gmail.com; rosaine.yegbemey@fa-up.bj Aline M. Aloukoutou, Bureau de Recherche et de Développement en Agriculture (Breda-ONG). Email: alma_aline@yahoo.com Ghislain B. D. Aïhounton, Laboratoire d’Analyseet de Recherches sur les Dynamiques Economiques et Sociales (LARDES), Faculté d’Agronomie, Université de Parakou, Bénin. Email: aihountong@gmail.com

Digital opportunities for the distribution of index‐based microinsurance: Evidence from a discrete choice experiment in Mali

“…This hints at a generally high acceptance of and interest in services delivered via mobile applications. Since personalised farming advice (Rajkhowa & Qaim, 2021) and weather information services (e.g., Mudombi & Nhamo, 2014; Roudier et al., 2016; Yegbemey et al., 2023) were found to positively influence a farmer's production decisions and welfare, our finding should be an additional motivation for insurance providers to consider such product bundles.…”

Multimodel comparison and assessment of short to medium range precipitation and temperature forecasts over India: Implications towards forecasting of meteorological indices in India

“…The RMSE/CSI scores are estimated for each forecast variable associated for individual phase (Table 4) and combination phases (Table 5) of the OA cycles. Thereafter, the nonparametric ranksum test (Morss et al, 2010; Safeeq & Fares, 2011; Yegbemey et al, 2023) is used to evaluate whether the differences between the OA phase (individual and combination) RMSE/CSI scores and the average scores are statistically significant.…”