Abstract
The potential gain from the agricultural technologies can be realized only if it is adopted and disseminated in a short period of time. There are many factors which affect the rate of adoption and diffusion of technologies, both at macro and micro level. Social learning and social networks play a critical role in adoption of technologies as the adoption decisions of a farmer may be influenced by the others in his social network. Caste is a key factor which influences the decisions of people in Indian society. This study focuses on such caste based social networks and examines the role of caste based social networks and other farm level determinants on the varietal turnover of rice. Within caste social networks found to act as a barrier for faster replacement of varieties. Identifying and programming with caste based local leadership as nodes of varietal dissemination may be an effective extension strategy. Acknowledgement : We acknowledge funding support for this research provided by the Global Futures and Strategic Foresight (GFSF) project and CGIAR Research Program on Policies, Institutions, and Markets (PIM) led by IFPRI. The contents and opinions expressed herein are those of the authors and do not necessarily reflect the views of IRRI, PIM, IFPRI, and CGIAR. The usual disclaimer applies.
Published Version
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