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Socio-economic Factors Affecting Adoption of Modern Information and Communication Technology by Farmers in India: Analysis Using Multivariate Probit Model
Authors:Surabhi Mittal  Mamta Mehar
Institution:1. Socioeconomics Program, International Maize and Wheat Improvement Center (CIMMYT) India, CG Block, NASC Complex, Todapur Road, Pusa, New Delhi-110012, India;2. Social Science Division, International Rice Research Institute (IRRI), India, 9th Floor, Aggarwal Corporate Tower, 23, Rajendra Place, New Delhi-110008, India
Abstract:Purpose: The paper analyzes factors that affect the likelihood of adoption of different agriculture-related information sources by farmers.

Design/Methodology/Approach: The paper links the theoretical understanding of the existing multiple sources of information that farmer use, with the empirical model to analyze the factors that affect the farmer's adoption of different agriculture-related information sources. The analysis is done using a multivariate probit model and primary survey data of 1,200 farmer households of five Indo-Gangetic states of India, covering 120 villages.

Findings: The results of the study highlight that farmer's age, education level and farm size influence farmer's behaviour in selecting different sources of information. The results show that farmers use multiple information sources, that may be complementary or substitutes to each other and this also implies that any single source does not satisfy all information needs of the farmer.

Practical implication: If we understand the likelihood of farmer's choice of source of information then direction can be provided and policies can be developed to provide information through those sources in targeted regions with the most effective impact.

Originality/Value: Information plays a key role in a farmer's life by enhancing their knowledge and strengthening their decision-making ability. Farmers use multiple sources of information as no one source is sufficient in itself.

Keywords:Mobile phones  Agricultural information  Indian farmers  Multivariate Probit model
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