Participatory research can improve the efficiency, effectiveness, and scope of research processes, and foster social inclusion, empowerment, and sustainability. Yet despite four decades of agricultural research institutions exploring and developing methods for participatory research, it has never become mainstream in the agricultural technology development cycle. Citizen science promises an innovative approach to participation in research, using the unique facilities of new digital technologies, but its potential in agricultural research participation has not been systematically probed.
Private sector actors bring expertise, resources, and new perspectives to agricultural development, but the tendency to short-term approaches and market-based orientation has been unable to drive a systemic change in the development agenda. We explore how multi-stakeholder dialogues can capitalize on and trickle systemic change through private sector involvement. Analysis from the farmer-led irrigation development multi-stakeholder dialogue space (FLI-MDS) in Ghana shows the need for a physical and institutional space to cater for and merge different stakeholder interests.
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.
The profound changes in European policy for farms advisory services (FAS) require a period of experimentation and results observation before the new CAP 2021-2027. This paper focuses on Measure 2 of Rural Development Programme (RDP) 2014-2020. The paper is focused on the description of case studies in three Italian regions: Campania, Emilia-Romagna and Veneto. Different Measure 2 – sub-measure 2.1 models are analyzed through a qualitative approach, using a conceptual framework adapted by Birner et al. (2009).
The core idea of the article is the existence of complicated array of deterrent factors that influences innovation activity of agriculture organizations, and subjective, psychological factors among those factors as well. The main goal of this work is to assess the top management and proprietors’ of AIC enterprises readiness to implement the innovations. As a research’ working hypothesis used the decisive role of human factor in answering the question whether to innovate or not.