Poisson Count Model to Explain Gender Dynamics of Farmer Adoption of Climate Smart Agricultural Practices

Year 2020, Volume: 4 Issue: 2, 49 - 69, 26.10.2020

Rebecca Owusu

Abstract

Climate smart agricultural practices are important interventions for addressing effects of climate change in agricultural production. In this paper, a Poisson count regression model is employed to examine multiple factors that drive both men and women farmers’ adoption of climate smart agricultural practices. Using a sample of 105 maize farmers, the econometric modelling revealed that men farmers’ adoption of climate smart agricultural practices is affected by their educational level and climate related shock. Also, men and women farmers adoption of climate smart agricultural practices is influenced by farm size. Given that women farmers in developing countries are not permitted to own large farms, it is recommended that government considers land reforms that would enable women farmers have more access to large farms to improve their adoption of climate smart agricultural practices.

Keywords

climate change, gender, adoption

Project Number

The project was self funded

References

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