This research project aims to build ACP capacity to better understand the strengths and weaknesses of the local science, technology and innovation system in the agricultural sector.

Recent interest in inclusive innovation to serve base-of-the-pyramid markets has so far produced relatively little evidence about the role of policy. Drawing on cases from Kenya's mobile phone sector that have successfully scaled innovations to poor consumers, we suggest that policy-making is not only present, but can also have a significant role in shaping and supporting inclusive innovation systems. In these cases, inclusive innovation has been built upon a reinforcing circle of adaptive innovation, dynamic competition, and presence of innovation intermediaries within poor communities.

In line with the government of Mozambique’s strategies, this document proposes an innovative model with high promise to develop value-adding market led post-harvest processing enterprises and to transform the post harvest-processing sector in Mozambique, while creating sustainable jobs and increasing incomes. The challenge is to ensure coordination across value chains to guarantee that the right conditions are in place for making the Agribusiness Innovation Center (AIC) a success.

This paper has been prepared under the guidelines provided by the TAP Secretariat at the FAO, as a contribution to the G20 initiative TAP, which includes near 40 partners and is facilitated by FAO. Its purpose is to provide a Regional synthesis report on capacity needs assessment for agricultural innovation, with capacity gaps identified and analyzed, including recommendations to strengthen agricultural innovation systems (AIS) and draft policy recommendations to address the capacity gaps. 

This book documents a unique series of 19 case studies where agricultural biotechnologies were used to serve the needs of smallholders in developing countries. They cover different regions, production systems, species and underlying socio-economic conditions in the crop (seven case studies), livestock (seven) and aquaculture/fisheries (five) sectors. Most of the case studies involve a single crop, livestock or fish species and a single biotechnology.

The study report is based on case studies from Bangladesh (Sulaiman, 2010), Bolivia (Pafumi and Ulloa, 2010), DR Congo (Mbaye, 2010) and Ghana (Adjei-Nsiah and Dormon, 2010) which were carried out with the purpose of assessing needs and gaps with regard to the provision of innovation support services for climate change adaptation. It took the form of desk-studies complemented with key informant interviews.

The agricultural innovation systems approach emphasizes the collective nature of innovation and stresses that innovation is a co-evolutionary process, resulting from alignment of technical, social, institutional and organizational dimensions. These insights are increasingly informing interventions that focus on setting up multi-stakeholder initiatives, such as innovation platforms and networks, as mechanisms for enhancing agricultural innovation, particularly in sub-Saharan Africa.

The purpose of this paper is to map some elements that can contribute to an IFAD strategy to stimulate and support pro-poor innovations. It is an initial or exploratory document that hopefully will add to an ongoing and necessary debate, and is not intended as a final position paper. The document is organized as follows.

This presentation, prepared for the Workshop "Policies to Enhance Agricultural Innovation and Productivity: Focus on China" - held in Beijing (24 October 2013), illustrates the multiple benefits of agriculture innovation, the importance of the policy environment, the research and development main features and trends and the ways for fostering national AIS. 

There are divergent views on what capacity development might mean in relation to agricultural biotechnology. The core of this debate is whether this should involve the development of human capital and research infrastructure, or whether it should encompass a wider range of activities which also include developing the capacity to use knowledge productively. This paper uses the innovation systems concept to shed light on this discussion, arguing that it is innovation capacity rather than science and technology capacity that has to be developed.