The project “Strengthening Community Resilience to Change: Combining Local Innovative Capacity with Scientific Research” (CLIC–SR), supported by the Rockefeller Foundation, was completed on 31 August 2016. During the four years since 2012, the Prolinnova Country Platforms in Ethiopia, Kenya, Tanzania and Uganda made large strides in:
This evaluation report discusses the findings, conclusions and recommendations on the project “Strengthening Community Resilience to Change: Combining Local Innovative Capacity with Scientific Research (CLIC-SR)” under the umbrella of the network Promoting Local Innovation in ecologically oriented agriculture and NRM (PROLINNOVA). This project was implemented in four Eastern African countries, namely Ethiopia, Kenya, Tanzania and Uganda.
The CLIC–SR project started on 1 September 2012, ended on 31 August 2016, and was implemented in four countries: Ethiopia, Kenya, Tanzania and Uganda. This report covers the work done in the final project period: January–August 2016. The report adds a chapter that reviews the achievements of the project over the full project cycle. The report from an independent external evaluation was a major source of information for this final chapter.
Technological innovations have driven economic development and improvement in living conditions throughout history. However, the majority of smallholder farmers in sub‐Saharan Africa have seldom adopted or used science‐based technological innovations. Consequently, several scholars have been persistently questioning the effectiveness of intervention models in smallholder agriculture.
Multi-stakeholder (MS) platforms, such as innovation platforms (IP), public-private partnerships (PPP) are becoming more common but what they can achieve in innovation and scaling is limited and depends on different factors. This poster and the broader research paper provide evidence what MS platforms can and cannot achieve in their early phases and give insights about effectiveness and efficiency of Agricultural Research for Development (AR4D) interventions such as CGIAR research programs (CRPs) in low and middle income countries.
The capacity of existing monitoring and decision making tools in generating evidence about the performance of R4D with multi-stakeholder processes, such as innovation platforms (IPs), public private partnerships (PPP), participatory value chain management (PVCM) is very limited. Results of these tools are either contextual and qualitative such as case studies that can not be used by other R4D interventions or quantitative i.e. impact assessments that do not inform what works in R4D.
Despite the well-known importance of innovation to productivity growth in the agri-food sector, very few studies have attempted to measure farm-level innovation. This article contributes to the literature by developing an agricultural innovation index that goes beyond measuring innovation through adopted technologies. Based on this index, drivers and barriers of innovation are assessed. The findings reveal that innovation efforts differ between farm systems.
This paper examines the level of heterogeneity of member countries of the Organisation for Economic Co-operation and Development (OECD), regarding their potential and performance as Agricultural Sectoral Innovation Systems (ASIS). The main objective is the classification of the ASIS in an OECD context; based on a series of indicators that correspond to their productivity, competitiveness, social, economic and institutional conditions, as well as their capacities and innovation results.
Innovation learning platforms have their roots in the agricultural innovation systems (AIS) approach. AIS emphasizes a systems view of agricultural innovations and conceptualizes an innovation system as all individuals and organizations that keep on interacting in producing and using knowledge and the institutional context of knowledge sharing and learning. Research creates knowledge and technology; but innovation process goes further to include putting that knowledge into use.
The challenges of providing food security for the developing world have perhaps never been so extreme, with the introduction of new technologies being matched by land degradation, water concerns and the often uncertain impacts of a changing climate. In short, we will need to produce more food on less land. Adding to the problem is the distrust and fear around some new technologies – particularly biotechnologies – that have created a divide between scientists and farmers, decision makers and the public. There have been many attempts to bridge these divides, but few success stories.