The study focuses on how levels of innovation, measured by complexity and investments requirements of the adopted technologies, relates to innovative behavior and complying with social responsibility practices, as two indicators of the farmer's behavior towards innovation. A typology of farmers with different technological
levels was constructed based on multivariate techniques, according to the adoption of seven technologies. The main objective of the study was to relate SR and innovative behavior to the technology clusters
This paper analyzes the status of Pakistan’s agriculture in the world and quantifies the potential of improving productivity and quality of value chain at its different nodes. A great potential of expansion in the value chain of large number of agricultural commodities produced in Pakistan are observed. Just bringing the average crop yield levels at par to the world average yield can generate over US$11 billion additional revenues to the producers. Despite lower yield, majority of commodities have lower prices compared to the world average prices at the farmgate.
Based on three rounds of panel data (2007, 2009, and 2012) on indigenous households, this study assessed the impacts of Integrated Aquaculture-agriculture value chain participation on the welfare of marginalized poor indigenous rural households in Bangladesh. We also examined the distributional impacts of IAA value chain
This study analyzed the determinants of ICT usage in agricultural value chains among rural youth in Busia County, Kenya. A total of 213 young farmers were randomly selected and interviewed using semi-structured questionnaires. Descriptive statistics and Poisson regression model were applied in data analysis. Findings showed youth participation using ICTs was concentrated at the marketing level of the agricultural chain activities.
This paper reviews the current policies and programmes of EIARD members in relation to capacity development and makes recommendations on future directions. The main issues and recommendations will be incorporated into a policy brief in which specific policy options or guidelines will be presented. The goal of EIARDs strategy is to reduce poverty (i.e. MDGs); to promote economic growth, food security, and sustainable management of natural resources in developing & emerging economy countries and to contribute to global development issues and knowledge generation.
This paper discusses issues related to support for capacity strengthening for agricultural research for development (ARD) by member countries of the European Initiative for Agricultural Research for Development. It summarises the findings of an analysis of the policies, programmes and projects in capacity strengthening for ARD of fourteen European countries. These policies, programmes and projects were previously examined in relation to a common set of criteria covering aspects of needs identification, design, implementation, assessment, documentation and sharing of information.
This trainers’ manual on capacity needs assessment was produced as part the Capacity Development for Agricultural Innovation Systems (CDAIS) project. This involves a global partnership (Agrinatura, the Food and Agriculture Organization of the United Nations [FAO] and national partners from eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods.
This guide on Monitoring, Evaluation and Learning was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.
This Coaching Process guide was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.
Este manual para instructores sobre evaluación de necesidades de capacidad fue producido como parte del proyecto de Desarrollo de Capacidades para Sistemas de Innovación Agrícola (CDAIS). Esto implica una asociación global (Agrinatura, la Organización de las Naciones Unidas para la Agricultura y la Alimentación - FAO y socios nacionales de ocho países piloto) que tiene como objetivo fortalecer la capacidad de los países y las partes involucradas para innovar en sistemas agrícolas complejos, logrando así una mejora de los medios de vida en la zona rural.