Food insecurity and the weak position of smallholders in food value chains are key challenges in many low- and middle-income countries in sub-Saharan Africa. In order to increase food security and make agricultural value chains more inclusive, donors, governments and researchers increasingly stimulate partnerships between multiple actors, in which knowledge exchange, joint learning and knowledge co-creation play a central role in reducing the time lag between research findings and their translation into practical outcomes.
Extension and advisory services (EAS) play a key role in facilitating innovation processes, empowering marginalized groups through capacity development, and linking farmers with markets. Advisory services are increasingly provided by a range of actors and funded from diverse sources. With the broadened scope of EAS and the growing complexity of the system, the quantitative performance indicators used in the past (e.g. related to investment, staffing or productivity) are not adequate anymore to understand whether the system is well-functioning.
Encouraging the adoption and diffusion of low-carbon agricultural technology innovation is an important measure to cope with climate change, reduce environmental pollution, and achieve sustainable agricultural development. Based on evolutionary game theory, this paper establishes a game model among agricultural enterprises, government, and farmers and analyzes the dynamic evolutionary process and evolutionary stable strategies of the major stakeholders.
Little is known about effective ways to operationalize agricultural innovation processes. The authors of this article use the MasAgro program in Mexico (which aims to increase maize and wheat productivity, profitability and sustainability), and the experiences of middle level ‘hub managers’, to understand how innovation processes occur in heterogeneous and changing contexts. Their research shows how a program, that initially had a relatively narrow technology focus, evolved towards an innovation system approach.
he European Union's long-term strategy for agricultural research and innovation was published in January 2016 following a year-long process of development, which included targeted consultations. Based on five priority areas, the strategy guides the programming of its main research and innovation programme – Horizon 2020 – not only for 2018 to 2020 but also for the period beyond 2020, to be covered by Horizon Europe.
The poor performance of agriculture in sub-Saharan Africa is known to be largely due to the lack of effective and client- responsive agricultural research and development that could generate appropriate technologies and innovations to stimulate the agricultural development process. As a contribution to address this challenge, the Forum for Agricultural Research in Africa (FARA), with support from the United Kingdom’s Department for International Development (DFID), developed a project for Strengthening Capacity for Agricultural Research and Development in Africa (SCARDA).
Fair Trade is a labeling initiative aimed at improving the lives of the poor in developing countries by offering better terms to producers and helping them to organize. Although Fair Trade-certified products still comprise a small share of the market—for example, Fair Trade-certified coffee exports were 1.8 percent of global coffee exports in 2009—growth has been very rapid over the past decade. Whether Fair Trade can achieve its intended goals has been hotly debated in academic and policy circles.
Global adoption of transgenic crops reached 67.7 million hectares in 2003 from 2.8 million in 1996. Delivery has occurred almost entirely through the private sector and adoption has been rapid in areas where the crops addressed serious production constraints and where farmers had access to the new technologies. Three countries (USA, Argentina and Canada), three crops (soybean, cotton and maize) and two traits (insect resistance and herbicide tolerance) account for the vast majority of global transgenic area.
In this paper the authors used a network perspective to study the micro level of agricultural innovation systems and investigate the different roles and functions that collaborating actors have to perform to spread their innovation both horizontally and vertically. Based on a literature review, we distinguish between three separate network functions: (1) learning and knowledge co-creation, (2) upscaling and institutional entrepreneurship and (3) outscaling and innovation brokerage.
The impulse towards a larger introduction of Information and Communication Technology (ICT) in the agricultural field is currently experiencing its momentum, as digitisation has large potentialities to provide benefits for both producers and consumers; on the other hand, pushing technological solutions into a rural context encounters several challenges.