Use of Network for Diffusion and Adoption of Climate Smart Agricultural Technologies

This study aims to unravel the intricate network measures underlying the diffusion and adoption of Climate-Smart Agriculture (CSA) technologies. By conducting personal interviews with both Common Interest Group (CIG) and non-CIG farmers, the researcher gathers rich data on the key actors involved in the diffusion process in the northern Bangladesh. The data analysis for the network visualization was done by Gephi software. Pearson’s correlation of coefficient was estimated to explore the centrality measures that can significantly affect the adoption of CSA technologies by SPSS software. The findings reveal compelling insights into the structure and functioning of diffusion networks for CSA technologies. The results also highlight the role of social networks in shaping farmer’s adoption decisions, as connections to influential peers and access to relevant information significantly influence the CSA adoption. Overall, the findings show the intricate interplay between social networks and CSA technological adoption, emphasizing the need for targeted interventions that leverage existing social structures to promote CSA uptake effectively.