The overall objective of the Comprehensive Assessment of the Agricultural Sector (CAAS) is to provide an evidence base to enable appropriate strategic policy responses by the Government of Liberia (GoL) and its development partners in order to maximize the contribution of the agriculture sector to the Government's overarching policy objectives. Given the strong relationship between growth in agricultural productivity and poverty reduction, future efforts in Liberia need to focus on productivity enhancing measures with a pro-poor focus that increase incomes.

The overall objective of the Comprehensive Assessment of the Agricultural Sector (CAAS) is to provide an evidence base to enable appropriate strategic policy responses by the Government of Liberia (GoL) and its development partners in order to maximize the contribution of the agriculture sector to the Government's overarching policy objectives. Given the strong relationship between growth in agricultural productivity and poverty reduction, future efforts in Liberia need to focus on productivity enhancing measures with a pro-poor focus that increase incomes.

The overall objective of the Comprehensive Assessment of the Agricultural Sector (CAAS) is to provide an evidence base to enable appropriate strategic policy responses by the Government of Liberia (GoL) and its development partners in order to maximize the contribution of the agriculture sector to the Government's overarching policy objectives. Given the strong relationship between growth in agricultural productivity and poverty reduction, future efforts in Liberia need to focus on productivity enhancing measures with a pro-poor focus that increase incomes.

The overall objective of the Comprehensive Assessment of the Agricultural Sector (CAAS) is to provide an evidence base to enable appropriate strategic policy responses by the Government of Liberia (GoL) and its development partners in order to maximize the contribution of the agriculture sector to the Government's overarching policy objectives. Given the strong relationship between growth in agricultural productivity and poverty reduction, future efforts in Liberia need to focus on productivity enhancing measures with a pro-poor focus that increase incomes.

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.

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.