Public policies for enhancing diffusion of technology: a network analysis for a dairy farmer community in Minas Gerais, Brazil

The objective of this study is to apply Social Network Analysis (SNA) approach to improve the understanding of how to shape effective information diffusion policies among small-scale dairy farmers in rural communities of Brazil, for whom milk production is an important source of income. We interviewed 24 dairy farmers representing all participants of a dairy farmer association in a small-scale production community in the Zona da Mata of Minas Gerais, Brazil. Two sociograms were built by means of an adjacency matrix representing the two internal networks, friendship (F) and advising (A). The beta-centrality and betweenness centrality measures were calculated to identify central farmers and correlate with efficiency indicators in each network (F and A) using a quadratic assignment procedure (QAP). The two internal networks structures and individual thresholds of adoption were represented in an agent-based model (ABM) to simulate the spread of the information among farmers. Our simulations indicate that the assortativity degree of social networks affects the information diffusion among farmers, highlighting the importance of opinion leaders versus convincing a critical mass to implement innovation strategies. Our analysis suggests that vertical policies focused on local opinion leaders will be more effective for enhancing the adoption of techniques that involve investments in private goods such as the adoption of artificial insemination, whereas horizontal policies, such as broadcasting information, wilThe objective of this study is to apply Social Network Analysis (SNA) approach to improve the understanding of how to shape effective information diffusion policies among small-scale dairy farmers in rural communities of Brazil, for whom milk production is an important source of income. We interviewed 24 dairy farmers representing all participants of a dairy farmer association in a small-scale production community in the Zona da Mata of Minas Gerais, Brazil. Two sociograms were built by means of an adjacency matrix representing the two internal networks, friendship (F) and advising (A). The beta-centrality and betweenness centrality measures were calculated to identify central farmers and correlate with efficiency indicators in each network (F and A) using a quadratic assignment procedure (QAP). The two internal networks structures and individual thresholds of adoption were represented in an agent-based model (ABM) to simulate the spread of the information among farmers. Our simulations indicate that the assortativity degree of social networks affects the information diffusion among farmers, highlighting the importance of opinion leaders versus convincing a critical mass to implement innovation strategies. Our analysis suggests that vertical policies focused on local opinion leaders will be more effective for enhancing the adoption of techniques that involve investments in private goods such as the adoption of artificial insemination, whereas horizontal policies, such as broadcasting information, will be more effective in encouraging investments in public and semi-public goods, such as the purchase of community cooling tanks and techniques for enhancing milk qualityl be more effective in encouraging investments in public and semi-public goods, such as the purchase of community cooling tanks and techniques for enhancing milk quality