This study is designed to assess the factors that affect smallholder rice farmer’s participation in market. In addition it also examines the effect of commercialization on the welfare of smallholder farmers. The method of Heckman two-stage model is used to obtain the desired objectives. Random sampling technique is used to collect data from 249 smallholder farmers.
The purpose of this research was to investigate factors influencing agricultural personnel and consultants’ attitude and behavioral intention to use precision agricultural technologies. The survey research and multistage random sampling were used to collect data from 183 agricultural consultants in Agricultural Engineering and Technical Consulting Services Companies in Iran
Access to and usage of smartphones for agricultural purposes amongst small-scale farmers in rural areas of developing countries is still limited. Smartphones may provide an opportunity to develop farmers’ capacities with specific applications offering fast access to continually updated and reliable information. This study develops a framework to investigate the cognitive and affective behavioural drivers of smallholder farmers´ intention to use a smartphone in a developing country context.
Globally, the role of extension agents in scaling up the utilization of Climate Smart Agricultural Initiatives (CSAI) by farmers remains very crucial. This study examined the determinants of the involvement of extension agents in the dissemination of CSAI to farmers. A two-staged random sampling technique was used to elicit information from 277 extension agents in South West Nigeria using a structured questionnaire. Data were analysed using frequency counts, percentage and linear regression analysis
This paper is a case study of a network that combined participatory approaches to propose best suited knowledge management (KM) interventions for its member countries. A five-step exercise used existing elements of the alliance’s strategy, a KM survey and a face-to-face participatory validation of the analysis, to identify gaps in current KM approaches and to collectively point to immediate opportunities for improvement. The KM survey, also referred to as a scan, provided a neutral space for reflection.
This document intends to provide an analysis of the outcomes of the application of the TAP Common Framework in the eight countries of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. The TAP Common Framework (TAP CF) was developed at the global level as an initial activity of the CDAIS project in order to guide capacity development (CD) and strengthening of Agricultural Innovation Systems (AIS). The project then tested this framework in eight pilot countries (Guatemala, Honduras, Burkina Faso, Angola, Rwanda, Ethiopia, Lao PDR, Bangladesh).
This flyer described the collaboration between FAO and Agrinatura and in particular two main areas of activities:
1) Joint implementation of the EU-funded Capacity Development for Agricultural Innovation Systems (CDAIS) project from 2015 to 2019, in eight countries: Angola, Bangladesh, Burkina Faso, Ethiopia, Guatemala, Honduras, Lao People’s Democratic Republic, Rwanda;
The paper, prepared for the "High Level Policy Dialogue on Investment in Agricultural Research for Sustainable Development in Asia and the Pacific" (Bangkok Thailand; 8-9 December 2015), presents the Common Framework on Capacity Development for Agricultural Innovation Systems (CDAIS).The framework is a core component of the Action Plan of the TAP, a G20 Initiative, aiming to increase coherence and effectiveness of capacity development for agricultural innovation that lead to sustainable change and impact at scale.
In this paper, the authors, who have worked on developing learning systems in a range of agricultural and environmental contexts since the 1980s, take a long-term look at what has changed over the years and what may need to change in future. They consider how theories and practices have changed and their influences on each other.
This study, conducted by the World Bank at the request of the Government, is motivated by the need to understand Malaysia’s progress in facilitating the shift to a knowledge-focused economy.