Classical innovation adoption models implicitly assume homogenous information flow across farmers, which is often not realistic. As a result, selection bias in adoption parameters may occur. We focus on tissue culture (TC) banana technology that was introduced in Kenya more than 10 years ago. Up till now, adoption rates have remained relatively low.
This publication comprises 24 full papers/abstracts presented at the “High Level Policy Dialogue on Investment in Agricultural Research for Sustainable Development in Asia and the Pacific” (Bangkok, 8-9 December 2015).
La documentación de casos de éxito refiere una labor con satisfactores paralelos. Por una parte, la constatación inmediata de la correcta aplicación de la metodología y los recursos humanos y materiales destinados al Proyecto Estratégico de Seguridad Alimentaria (PESA) en México. Por otra parte, ser testigos de cómo los beneficios se reflejan en los productores, en las familias, en las comunidades y en las regiones.
This paper presents a case study of the Honey Bee Network’s decentralized model for collecting, verifying and disseminating grassroots innovations and provides a roadmap for its replication in Africa. The Honey Bee Network brings together governmental and non‐governmental institutions, members of academia, scholars and a large number of volunteers.
The objective of the study was to identify a viable trade-off between low data requirements and useful household-specific prioritizations of advisory messages. At three sites in Ethiopia, Kenya, and Tanzania independently, we collected experimental preference rankings from smallholder farmers for receiving information about different agricultural and livelihood practices. At each site, was identified socio-economic household variables that improved model-based predictions of individual farmers’ information preferences.
The aim of this paper is to identify opportunities to strengthen food system policy for nutrition, through an analysis of the policies relevant to the external food environment for fruit and vegetables in India. We conducted interviews based on policy theory with 55 stakeholders from national and state level, from within government, research, private sector and non-government agencies, and from health, agriculture and economic sectors.
We look at the trade-off between smallholder cocoa intensification and the ecosystem in Indonesia and investigate the determinants of environmental efficiency in cocoa production. In our analysis, we apply a distance output function that includes cocoa production and the abundance of native rainforest plants as outputs. Our data set, based on a household and environment survey conducted in 2015, allows us to analyze 208 cocoa producers with both measured and self-reported data. We find that the intensification of cocoa farms results in higher ecosystem degradation.
The TOWS Matrix is derived from the SWOT Analysis model. The SWOT analysis is based on two factors; internal factors (Strengths and Weakness) and external factors (Opportunities and Threats). For an organisation to function at the best of its potential, these tools should be utilised at the beginning of the year. This article shows how important these tools are important in an organisation.
This article gives insights about collaboration and how this process can help agricultural innovation in Africa.
Though extension services have long since proved their value to agricultural production and farmer prosperity, their record in sub-Saharan Africa has been mixed. To study the impact of such programs on farmers' learning about agricultural technologies, we implemented a quasi-randomized controlled trial and collected detailed panel data among Malawian farmers. Based on those findings, we develop a two-stage learning framework, in which farmers formulate yield expectations before deciding on how much effort to invest in learning about these processes.