Brazil has transformed from being a net food importer, to one of the largest agricultural exporters in the world. The country is now one of the top global funders of agricultural innovation, with a special emphasis on funding R&D for sustainable agriculture. While food insecurity and environmental challenges exist in many parts of Brazil, social programs and funding in innovation have helped those in need.
The paper discusses the work force development (Wfd) tool that places explicit focus on three functional dimensions of Wfd policies and institutions: (a) strategy; (b) system oversight; and (c) service delivery. Strategy refers to the alignment between workforce development and a country’s national goals for economic and social development. System oversight refers to the governance arrangements that shape the behaviors key stakeholders involved, including individuals, employers, and training providers.
This book will benefit people and teams involved in planning and decision making. On the basis of their pragmatic value in guiding decisions, needs assessments are used in various professions and settings from emergency rooms to corporate boardrooms to guide decision making. Nonetheless, although needs assessments have many different applications, in this book on needs assessments as they are applied in organizations to accomplish results, as opposed to their use in personal decisions or medical triage.
The Commission on Sustainable Agriculture Intensification (CoSAI) and the Foreign, Commonwealth and Development Office (FCDO) jointly commissioned a gap study to determine how far away innovation investment is from helping agri-food systems achieve zero hunger goals and the Paris Agreement while reducing impacts on water resources in the Global South. The results show that the world can come much closer with some well-placed investments.
Considering the new opportunities that ICT innovations bring to improve performance of financial and extension services, this study looks at the potential contribution of financial and extension services to the Sustainable Development Goals (SDGs). The approach used extends the standard Data Envelopment Analysis (DEA) model to include longer-term management goals and find a solution that balances the efficient use of innovation investments and the achievement of policy goals, making this approach well suited for the analysis of the SDGs.
The evidence base on agri-food systems is growing exponentially. The CoSAI-commissioned study, Mining the Gaps, applied artificial intelligence to mine more than 1.2 million publications for data, creating a clearer picture of what research has been conducted on small-scale farming and post-production systems from 2000 to the present, and where evidence gaps exist.
A range of approaches and financial instruments have been used to stimulate and support innovation in agriculture and resolve interlocking constraints for uptake at scale. These include innovation platforms, results-based payments, value chain approaches, grants and prizes, incubators, participatory work with farmer networks, and many more.
Innovation for sustainable agricultural intensification (SAI) is challenging. Changing agricultural systems at scale normally means working with partners at different levels to make changes in policies and social institutions, along with technical practices. This study extracts lessons for practitioners and investors in innovation in SAI, based on concrete examples, to guide future investment.