This report highlights the great potential of the agribusiness sector in Africa by drawing on experience in Africa as well as other regions. The evidence demonstrates that good policies, a conducive business environment, and strategic support from governments can help agribusiness reach its potential. Africa is now at a crossroads, from which it can take concrete steps to realize its potential or continue to lose competitiveness, missing a major opportunity for increased growth, employment, and food security. The report pursues several lines of analysis.

There is an ongoing debate on what constitutes sustainable intensification of agriculture (SIA). In this paper, we propose that a paradigm for sustainable intensification can be defined and translated into an operational framework for agricultural development. We argue that this paradigm must now be defined—at all scales—in the context of rapidly rising global environmental changes in the Anthropocene, while focusing on eradicating poverty and hunger and contributing to human wellbeing.

The provision of basic market information is a service that aims to increase the efficiency of agricultural markets and contribute towards overcoming basic issues of market failure based on asymmetrical access to information. However, debate on the need for long-term support to a market information system (MIS) continues. A quantitative and qualitative survey was undertaken to provide a measure of accessibility, usefulness and utility of the current MIS, and to access how this type of service may be financed and improved in the future. 

This paper describes the learning selection approach to enabling innovation that capitalizes on the complexity of social systems at different scales of analysis. The first part of the paper describes the approach and how it can be used to guide the early stages of setting up a “grassroots” innovation process. The second part of the paper looks at how the learn selection model can be used “top-down” to guide research investments to trigger large-scale systemic change.

This paper (Part I) present a case study of work conducted by the International Centre for Tropical Agriculture (CIAT) to adapt network mapping techniques to a rural and developing country context. It reports on work in Colombia to develop a prototype network diagnosis tool for use by service providers who work to strengthen small rural groups. It is complemented by a further paper in this issue by Louise Clark (Part II) which presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia.

Innovations generally arise out of a network of actors and relationships and network structure determines how effective networks are at fostering innovation. This paper (Part II) presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia. The prototype method used is based on social network analysis methodology. This paper concludes with a final section to identify lessons learnt and makes recommendations for future research.

This project was undertaken to examine the suitability of 8 keys crops in Bhutan under current conditions and future climate scenarios (RCP 8.5) up to 2050. This was a collaborative initiative between MoAF, CIAT and UNEP, funded through the Asia-Pacific Climate Technology Network and Finance Center (AP-CTNFC). The project had two principal objectives: Objective 1: Build capacities of key technical staff to produce suitability maps for a wider range of crops under different emission scenarios.

Sustainable agricultural intensification requires the use of multiple agricultural technologies in an integrated manner to enhance productivity while conserving the natural resource base. This study analyses the adoption and impacts of sustainable intensification practices (SIPs) using a dataset from Ghana. A multivariate probit (MVP) model was estimated to assess the adoption of multiple SIPs. Moreover, we used a multivalued semi-parametric treatment effect (MVTE) model to estimate the effects of adopting multiple SIPs on maize productivity.

There have been repeated calls for a ‘new professionalism’ for carrying out agricultural research for development since the 1990s. At the centre of these calls is a recognition that for agricultural research to support the capacities required to face global patterns of change and their implications on rural livelihoods, requires a more systemic, learning focused and reflexive practice that bridges epistemologies and methodologies.

The study was commissioned by the Advisory Service on Agricultural Research for Development of the Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) and was carried out in cooperation with GIZ Western Kenya and the International Centre for Tropical Agriculture in Nairobi. Overall objective of the study was to design a strategy and make recommendations for locally adapted climate smart agriculture (CSA) tailored to smallholder needs in Western Kenya. This included the production of practical policy and technical guidance material.