Para revertir la situación de inseguridad alimentaria, el sector agropecuario cubano requiere de inversiones en infraestructuras y de cambios en la gestión e innovaciones que se adapten a las condiciones económicas, ecológicas, sociales y culturales de cada territorio. Ello implica una mejora de las condiciones en los ecosistemas a partir de la generación colectiva de alternativas con base en el intercambio, el apoyo en las alianzas y las experiencias entre los diferentes actores.
En este artículo se brinda el procedimiento para implementar el Modelo de Gestión Tecnológica en la relación universidadempresa estatal ganadera cubana y su validación en el estudio de caso Universidad de Pinar del Río y Empresa Pecuaria Genética Camilo Cienfuegos. El procedimiento constó de cuatro fases, con sus correspondientes pasos (ocho); además, se identificaron 18 indicadores, considerados relevantes para la gestión tecnológica en la relación universidad-empresa, organizados en cuatro dimensiones: retroalimentación institucional, económico-productiva, ambiental y pertinencia social.
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 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.
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.
A huge increase in investment in innovation for agricultural systems is critical to meet the Sustainable Development Goals and Paris Climate Agreement. Most of this increase needs to come from reorienting existing funding for innovation. However, understanding whether an investment will fully promote environmentally sustainable and equitable agri-food systems can be difficult.
Finance is a key lever for turning agriculture from a potential source of environmental harm and social inequity to a driver of conservation and social inclusiveness. Private and public sector funding for farmers to combat climate change and protect and restore nature (‘Paying for Nature’) is rapidly increasing. Yet this new funding may not reach its aims without drastically improving farm-level reward mechanisms.