Primary Innovation is a five year collaborative initiative demonstrating and evaluating co-innovation, a systemic approach to innovation addressing complex problems, in five ‘innovation projects’ (active case studies) in different agricultural industries. In defining the elements of co-innovation, Primary Innovation has emphasised nine principles which guide activity in the innovation projects.
This paper describes a process for stimulating this engagement to develop a shared understanding of systemic problems, challenge prevalent institutional logics, and identify individual and collective actions that change agents might undertake to stimulate system innovation. To achieve this the process included (i) multiple actors from the agricultural innovation systems, (ii) steps to prompt reflexivity to challenge underlying institutional logics, (iii) an iterative process of practical experimentation to challenge current practices, and (iv) actions to encourage generative collaboration.
This paper presents the common framework on CD for AIS developed by TAP and points to the relevance of meta-learning and the importance of “functional capacities”, if higher education institutions and their graduates are to become active players in the agricultural innovation system. The Framework was developed through an inclusive, participatory and multi-stakeholders approach with contributions by TAP Partners, including FARA and the Global Conference on Higher Education and Research in Agriculture.
This paper examines innovations for bridging gender gaps in agricultural value chains in Africa. It focuses on innovative platforms for addressing gender gaps, considering women contribute up to 40 percent of labor in agricultural production. Women remain at the bottom of value chains and face gender-specific constraints attributable to gender and social norms, discriminatory beliefs and practices, gender-blind designs and delivery of technologies and innovations which impede women s participation in value chains.
Changes in the structure of value chains have opened up lucrative opportunities for smallholder producers to increase income as a means to improve their livelihoods. Yet, recent literature argues that smallholder producers are better off in their current markets than when integrated in high value chains on disadvantageous terms. This article studies the terms of integration of smallholder producers in high value chains from a marketing systems perspective
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.
Este artículo hace un análisis del perfil de la avicultura a pequeña escala realizada en el Estado de Espirito Santo, en Brasil, de los roles que posee en la agricultura familiar y de los que podría tener en una agricultura más sostenible.
Economic development and the successful transformation ofagriculture have been at the core of impressive change in countriessuch as China, India, Indonesia, Brazil, Mexico, and Argentina. This transformation has relied on substantial and effective investment inagriculture, and, in particular, building capacity in all aspects of agricultural change – from technology development and transfer through infrastructural development and the processing of agricultural commodities into consumer products.
Agricultural innovation is an essential component in achieving the SDG and accelerating the transition to more sustainable and resilient farming systems across the world. Innovations generally emerge from collective intelligence and action, which requires effective agricultural innovation systems (AIS). An AIS perspective has been widely adopted, but the analysis of AIS, especially at country level, remains a challenge. The need for and potential of a diagnostic tool for AIS analysis is currently receiving attention in the global agricultural policy debate.
Agricultural organizations are faced with continuous processes of change: economic openness, national and international competition between companies, adaptation to new business management models-Corporate Social Responsibility-, changing markets and the need to comply with regulations and certifications. This has led to the generation of a great demand for knowledge, preparation and motivation of the people who work in the organizations and in the agribusiness environment.