Slow Magic: Agricultural R&D a Century after Mendel

Report produced by the CGIAR Agricultural Science and Technology Indicators (ASTI) initiative on trends in public and private investment in agricultural research and development and the dramatic gap between research intensities in developing and developed countries. The title refers to the dynamic of scientific progress as a slow cumulative process rather than one led by revolutionary breakthroughs. Presented at the stakeholders' meeting of the 2001 CGIAR Annual General Meeting

Agricultural Investments and Hunger in Africa Modelling Potential Contributions to SDG 2 - Zero Hunger

We use IFPRI’s IMPACT framework of linked biophysical and structural economic models to examine developments in global agricultural production systems, climate change, and food security. Building on related work on how increased investment in agricultural research, resource management, and infrastructure can address the challenges of meeting future food demand, we explore the costs and implications of these investments for reducing hunger in Africa by 2030. This analysis is coupled with a new investment estimation model, based on the perpetual inventory methodology (PIM), which allows for a better assessment of the costs of achieving projected agricultural improvements. We find that climate change will continue to slow projected reductions in hunger in the coming decades—increasing the number of people at risk of hunger in 2030 by 16 million in Africa compared to a scenario without climate change. Investments to increase agricultural productivity can offset the adverse impacts of climate change and help reduce the share of people at risk of hunger in 2030 to five percent or less in Northern, Western, and Southern Africa, but the share is projected to remain at ten percent or more in Eastern and Central Africa. Investments in Africa to achieve these results are estimated to cost about 15 billion USD per year between 2015 and 2030, as part of a larger package of investments costing around 52 billion USD in developing countries

ASTI Guinea database

This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D). Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure of agricultural R&D is fundamental to understanding the contribution of research to agricultural growth in low- and middle-income countries. Providing such data is the mission of IFPRI’s Agricultural Science and Technology Indicators (ASTI) program. Through its large network of national, regional, and international partners, ASTI collects and analyzes data from government, higher education, nonprofit, and (where possible) private-sector agencies involved in agricultural R&D. The program conducts ongoing analysis of these datasets; disseminates the results of this analysis to promote advocacy and support policymaking; and builds national and regional capacity for data collection and analysis.This data was collected in 2014 and made it to Dataverse in 2015. Data File: http://www.asti.cgiar.org/guinea</a

ASTI Lesotho database

This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D). Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure of agricultural R&D is fundamental to understanding the contribution of research to agricultural growth in low- and middle-income countries. Providing such data is the mission of IFPRI’s Agricultural Science and Technology Indicators (ASTI) program. Through its large network of national, regional, and international partners, ASTI collects and analyzes data from government, higher education, nonprofit, and (where possible) private-sector agencies involved in agricultural R&D. The program conducts ongoing analysis of these datasets; disseminates the results of this analysis to promote advocacy and support policymaking; and builds national and regional capacity for data collection and analysis.This data was collected in 2014 and made it to Dataverse in 2015. Data File: http://www.asti.cgiar.org/lesotho</a

ASTI Ghana database

This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D). Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure of agricultural R&D is fundamental to understanding the contribution of research to agricultural growth in low- and middle-income countries. Providing such data is the mission of IFPRI’s Agricultural Science and Technology Indicators (ASTI) program. Through its large network of national, regional, and international partners, ASTI collects and analyzes data from government, higher education, nonprofit, and (where possible) private-sector agencies involved in agricultural R&D. The program conducts ongoing analysis of these datasets; disseminates the results of this analysis to promote advocacy and support policymaking; and builds national and regional capacity for data collection and analysis.This data was collected in 2014 and made it to Dataverse in 2015. Data File: http://www.asti.cgiar.org/ghana</a

ASTI Morocco database

This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D). Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure of agricultural R&D is fundamental to understanding the contribution of research to agricultural growth in low- and middle-income countries. Providing such data is the mission of IFPRI’s Agricultural Science and Technology Indicators (ASTI) program. Through its large network of national, regional, and international partners, ASTI collects and analyzes data from government, higher education, nonprofit, and (where possible) private-sector agencies involved in agricultural R&D. The program conducts ongoing analysis of these datasets; disseminates the results of this analysis to promote advocacy and support policymaking; and builds national and regional capacity for data collection and analysis.This data was collected in 2014 and made it to Dataverse in 2015. Data File: http://www.asti.cgiar.org/morocco</a

ASTI Burkina Faso database

This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D). Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure of agricultural R&D is fundamental to understanding the contribution of research to agricultural growth in low- and middle-income countries. Providing such data is the mission of IFPRI’s Agricultural Science and Technology Indicators (ASTI) program. Through its large network of national, regional, and international partners, ASTI collects and analyzes data from government, higher education, nonprofit, and (where possible) private-sector agencies involved in agricultural R&D. The program conducts ongoing analysis of these datasets; disseminates the results of this analysis to promote advocacy and support policymaking; and builds national and regional capacity for data collection and analysis.This data was collected in 2014 and made it to Dataverse in 2015. Data File: http://www.asti.cgiar.org/burkina-faso</a

ASTI Argentina database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.orgIFPRI1; ASTI; CRP2EPTD; PI

ASTI Congo, Democratic Republic database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.orgIFPRI1; ASTI; CRP2EPTD; PI