2026-04-17T16:07:25Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/221202024-06-18T11:14:06Zcom_2072_452955com_2072_2054col_2072_452964

00925njm 22002777a 4500 dc Mumin, Yazeed Abdul author Abdulai, Awudu author Goetz, Renan-Ulrich author 2022-10-19 We use a detailed dataset to examine the impact of social networks, conditional on contextual and individual confounders, on farmers' adoption of competing improved soybean varieties in Ghana. Based on the contagion conceptual framework, we employ a spatial autoregressive multinomial probit model to examine how neighbours' varietal and cross-varietal adoption of improved varieties affect a farmer's adoption decision in the social network. Our results show that adoption decisions in a network tend to converge on one variety, such that beyond a threshold of adopting neighbours of that improved variety, the cross-varietal effects tend to lose significance in the network. If the shares of adopting neighbours of the improved varieties are equal, we find evidence that farmers are not more likely to adopt either improved variety compared to farmers with no neighbours who have adopted the improved varieties. The findings demonstrate the significance of neighbourhood effects in the adoption of competing technologies Deutscher Akademischer Austauschdienst and Government of Ghana Agencia Española de Investigación (AEI). Grant Number: PID2020-118268RB Ministerio de Ciencia e Innovación (MCIN). Grant Number: 10.13039/501100011033/ Open Access funding provided thanks to the CRUE-CSIC agreement with Wiley http://hdl.handle.net/10256/22120 Agricultura -- Aspectes econòmics -- Ghana Agriculture -- Economic aspects -- Ghana Pagesos -- Xarxes socials -- Ghana Farmers -- Social networks -- Ghana The role of social networks in the adoption of competing new technologies in Ghana