Determinantes da adoção de smartphones e ferramentas de compartilhamento de mensagem por produtores rurais
Abstract
This study aimed to identify the determinants of farmers’ participation in agricultural
information-sharing digital groups and their impacts on farm performance. The work was organized
in the format of two scientific articles. The first article presents a systematic literature review on the
determinants of the adoption of digital innovations by farmers from different countries. Articles in
the period of 2010 to 2022 were reviewed in three databases: Scopus, Periódicos Capes and Science
Direct. From an initial base of 131 articles, 21 were selected for the purposes of this review. The
review showed a diffuse geographic distribution of the studies, with emphasis in Brazil and Germany.
The analysis of the results of the reviewed articles indicated a total of 21 determining factors. Factors
related to the business and human capital/personal characteristics of the farmers were the most
relevant to determine the adoption of technologies. The scale of production proved to be a determining
factor of adoption in approximately 85% of the analyzed articles, followed by two personal aspects:
education and age (a generally negative effect). The second article presents econometric analyzes of
the determinants of farmers’ participation in agricultural information-sharing digital groups, as well
as their impacts on farms performance. Primary data of the 2015/2016 crop year collected from 175
cattle farmers were analyzed using descriptive statistics and econometric models. Farmers who had
smartphones and participated in social groups/applications, especially those created to exchange
agricultural information, were considered adopters of the technology. A Poisson hurdle model
showed that farmers’ decision to participate in agricultural information-sharing digital groups is
determined by schooling, age (negative effect) and use of tools for planning production. The intensity
of participation is affected by risk propensity, interaction with specialist advisors, use of tools for
planning production and participation in cooperatives. The authors also found empirical evidence that
farmers’ participation in agricultural information-sharing digital groups positively affects farm
income per hectare. The results of this dissertation are important to accelerate the diffusion of digital
technologies in agriculture. The diffusion of these technologies is important to reduce heterogeneity
and increase the economic well-being of producers.
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