Replication Data for: Transforming climate science into usable services: The effectiveness of co-production in promoting uptake of climate information by smallholder farmers in Senegal

Does the provision of weather and climate information services (WCIS) enhance farmer’s use of forecasts in informing farm decisions? This paper assesses the effectiveness of the Multi-disciplinary Working Group (MWG) – a WCIS co-production initiative in Senegal in influencing farmers uptake of weather and climate information (WCI). WCIS are increasingly gaining importance and widely touted as critical in helping farmers adapt to climate variability. While there have been various WCIS initiatives producing and translating climate data into tailored information and knowledge in different parts of the world, there is hardly any rigorous evidence assessing their effectiveness in improving uptake. In this assessment, we use innovative survey methods and apply rigorous analytical approaches that control for self-selection bias to establish causal linkages between the MWG and use of WCIS. Our findings indicate that MWGs are positively associated with farmers’ awareness, access and uptake of WCI resulting in farm management responses depending on the type of information used. The presence of MWGs generally increases farmer’s awareness of WCI by 18%, access by 12% and uptake by 10%. Furthermore, use of seasonal forecasts is generally associated with a higher proportion of farmers using improved seed, fertilizers and manure, but negatively with crop diversification within MWG locations. This suggests that participatory approaches in the provision of tailored climate information and advisory services can lead to higher uptake and use among farmers in informing farm management responses for better adaptation to climate change. We highlight lessons for improved evaluations of WCIS in future.

Dataset’s Files

CIS_indicators_anonymized.tab
MD5: 8c2ba34c6fc73d9cc58407dad6b9d022

CIS baseline indicators data file


Terms of use
This dataset is made available under the Creative Commons Attribution 4.0 International license (CC-BY-4.0). The license allows you, the user, to copy and redistribute the material in any medium or format and/or transform, and build upon the material for any purpose, even commercially.
Creative Commons License.
Authors

Chiputwa, Brian; Wainaina, Priscilla; Nakelse, Tebila; Makui, Parmutia; Zougmoré, Robert; Ndiaye, Ousmane; Minang, Peter

Keywords

weather, climate, information services, co-production, impact evaluation, smallholder agriculture, senegal, africa

Publisher

Baseline Survey Dataverse

Publication date

02 Aug 2021

DOI

https://doi.org/10.34725/DVN/JTF31N