Do regional-specific differences influence smallholder farmers’ climate information use? Evidence from Ghana

Mounting evidence underscores the importance of improving smallholder farmers’ use of reliable climate information (CI) in sub-Saharan Africa (SSA). Previous studies have not examined the differences in region-specific climate information use, as well as predictors of the source, type and timing of climate information use. In this study, we provide empirical evidence on how location-specific differences influence the source, type and timing of CI use. Integrating cross-sectional data from 503 households in the Upper West Region (UWR) and Brong-Ahafo Region (BAR) of Ghana into a multivariate probit model, our results indicate that farm households in the two regions exhibit different preferences regarding the source, type and timing of CI use. We find that while households in the BAR are more interested in CI ahead of the season – given that rainfall is relatively secure in that region, CI use ahead of the season is of less interest to those in the UWR where rainfall is more erratic. Our results further show that while CI source, type and timing are considerably influenced by education, distance to the farm, access to credit and extension in the UWR, gender, farm size, education and tractor access tend to drive the source, type and timing of CI use in BAR. These findings underscore the need for a more downscaled and context-specific strategy in disseminating CI services in the various regions of SSA. Practical implications: Notwithstanding evidence that the adverse impacts of the changing climate on smallholder livelihoods continue to vary within and across communities, districts, regions and agro-ecological zones (Abbam et al., 2018) in sub-Saharan Africa, little is known about how location-specific distinctions in climate change impact, infrastructural endowments as well as socioeconomic and plot-level attributes of smallholder farmers influence farm households’ use of climate information (CI). Given that these location-specific distinctions can considerably influence the generation and dissemination of CI, and its subsequent uptake by farm households in various regions, the empirical findings from this study are relevant for policy formulation towards boosting the use of CI. Evidence from this study strongly suggests that the diverse locations of smallholder farmers tend to significantly influence the source, type and period of CI use; for example, farm households in the Brong-Ahafo Region, a relatively more infrastructurally developed region, have better prospects of accessing different types of CI from diverse sources. We further find that the period of the cropping season in which CI is used is considerably influenced by the location of the farmers; and we identify disparities in the plot-level, institutional and socioeconomic characteristics of rural households in these two study regions that significantly influence the types, sources and times of CI used by farm households. Consequently, there is a need to take into account the unique regional, agro-ecological, plot-level, institutional and socioeconomic attributes of farm households. Policy recommendations on CI use should be tailored to the needs of these specific locations rather than being wholesale. Investment in rural infrastructure may trigger economic opportunities in deprived regions such as the Upper West Region. This may motivate rural households in such regions to invest in different CI types and sources for enhanced uptake of climate information.