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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
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Communication networks influence agricultural technologies’ diffusion: Evidence from improved maize (Zea mays) seeds varieties diffusion in the North of Benin, West Africa


Volume 37, Issue 4, October 2022, Pages 910–921

 Communication networks influence agricultural technologies’ diffusion: Evidence from improved maize (Zea mays) seeds varieties diffusion in the North of Benin, West Africa

Assogba S. Claude-Gervais1, Touré Ouneizath2, and Moumouni Ismaïl3

1 Laboratoire de Recherche sur l’Innovation pour le Développement Agricole (LRIDA), Laboratory of Research on Innovation for Agricultural Development, Université de Parakou, Parakou, Benin
2 Laboratoire de Recherche sur l’Innovation pour le Développement Agricole (LRIDA), Laboratory of Research on Innovation for Agricultural Development, Université de Parakou, Parakou, Benin
3 Laboratoire de Recherche sur l’Innovation pour le Développement Agricole (LRIDA), Laboratory of Research on Innovation for Agricultural Development, Université de Parakou, Parakou, Benin

Original language: English

Copyright © 2022 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


The adoption of innovations to improve yields and reduce poverty has become an important issue for the agricultural sector. However, in spite of all efforts implemented, the adoption of these technologies remains below the expected levels. This article aims to analyze the effects of communication networks on the adoption and diffusion of improved maize varieties promoted in the North of Benin in order to increase its productivity. Data were collected among maize producers identified with the snowball method in Nikki town. Logistic regression was carried out to analyze the influence of socio-relational, socio-economic and demographic factors on the adoption and diffusion of improved maize varieties. Software R version 3.4 was used for statistical data analysis. The Akaike Information Criterion (AIC) was used to choose the best model for predicting adoption and diffusion. Results show that rich men with a high degree of authority and power tend to have a high eigenvector centrality while men with a high degree of centrality and betweenness centrality tend to have a high level of education, a high area and a high degree of authority and power. In addition, a combination of socio-relational socio-economic and demographic variables predict better the probability of adoption (AIC=52.929) while socio-relational variables predict better the probability of diffusion (AIC=15.819). The study suggests that the diffusion of improved maize varieties at a large scale must involve persons who are rich, with a large agricultural land a good education level, and powers in their locality.

Author Keywords: adoption, dissemination, social network, innovation, channels, West Africa.


How to Cite this Article


Assogba S. Claude-Gervais, Touré Ouneizath, and Moumouni Ismaïl, “Communication networks influence agricultural technologies’ diffusion: Evidence from improved maize (Zea mays) seeds varieties diffusion in the North of Benin, West Africa,” International Journal of Innovation and Applied Studies, vol. 37, no. 4, pp. 910–921, October 2022.