Policy Drivers Of Africas Agriculture Transformation A Caadp Biennial Review Account

This paper assesses the nature of agricultural transformation taking place in different parts of Africa and analyzes policy drivers of the transformation using data from the CAADP Biennial Review (BR) on 46 indicators from 2014 to 2018. First, a typology of agriculture transformation in different groups of countries is developed by analyzing the initial values and trends in three indicators—share of agriculture in total employment, share of agriculture in gross domestic product, and agriculture labor productivity. The typology, in addition to a conceptual framework that is developed for measuring the relative effect of a policy on an outcome, provides the basis for analyzing the policy drivers of agriculture transformation. The 46 BR indicators are classified into policies (13 indicators), intermediate results (23 indicators), and outcomes (10 indicators), and then econometric methods are used to measure the association between the policy indicators and the intermediate results and outcomes, which include agriculture intensification (e.g., access to finance and extension, fertilizer use, and irrigation development), agriculture growth, agriculture trade, food security, nutrition, and poverty. Different fixed-effects regression methods and model specifications of the explanatory variables are used to assess sensitivity of the results to different assumptions of the data and the relationship between the policies and intermediate and outcome indicators. The trends in the indicators are different. For example, access to finance and extension have risen over time; fertilizer use, irrigation development, agriculture growth, and adult undernourishment have fallen over time; and child nutrition and poverty have remained stagnant over time. Different policy indicators are significantly associated with different indicators of agriculture intensification, agriculture growth, and outcomes. Also, there are differences in the results across the agriculture transformation groups. Major policy drivers of agriculture transformation in the different groups are identified. Implications of the results and suggestions for future research are discussed.

This paper uses the Biennial Review (BR) data and simple correlations to analyze the potential relationship between progress in recommitting to CAADP or mutual accountability and progress in meeting commitments in the other five broad areas. Various weighting systems are used to demonstrate the sensitivity of the weights chosen for computing the scores to develop the Africa Agricultural Transformation Scorecard (AATS). The current BR applies equal weights to the seven thematic areas, followed by equal weights to performance categories and indicators within each thematic area and performance category, respectively. The other weighting systems considered for the sensitivity analysis include equal weights applied at performance category or indicator level, differential weights based on the ease or difficulty in achieving various commitments using the Items Response Theory (IRT), and differential weighting system that gives more weight to performance categories or indicators that are more directly linked to agricultural transformation.

This year marks 20 years of implementing the Comprehensive Africa Agriculture Development Programme (CAADP), which was broadened under the 2014 Malabo Declaration on Accelerated Agricultural Growth and Transformation for Shared Prosperity and Improved Livelihoods. The 2023 Annual Trends and Outlook Report generates evidence on the implementation of the CAADP/Malabo agenda and thus contributes to the design of the post-Malabo phase of CAADP implementation. The report assesses the current state of Africa's food systems, explores strategic issues related to food systems transformation, and reflects on necessary methodologies and approaches to provide a better understanding of key challenges and necessary actions to accelerate transformation.

Introduction: Since 2006, the International Food Policy Research Institute (IFPRI) has provided policy research and capacity-strengthening support to guide the planning and implementation of the Comprehensive Africa Agriculture Development Programme (CAADP). Endorsed in 2003 by African heads of state and government, CAADP is a continentwide framework for accelerating growth and progress toward poverty reduction and food and nutrition security through an agriculture-led growth strategy. As part of IFPRI’s support to CAADP, the Regional Strategic Analysis and Knowledge Support System (ReSAKSS) was established in 2006 to provide policy-relevant analysis, data, and tools necessary to support the formulation and implementation of evidence-based agricultural-sector policies and strategies, as well as to facilitate CAADP policy dialogue, peer review, benchmarking, and mutual learning processes. ReSAKSS is facilitated by IFPRI in partnership with Africa-based CGIAR centers, the African Union Commission (AUC), the NEPAD Planning and Coordinating Agency (NPCA), and leading regional economic communities (RECs)

This paper presents results of a data partnership framework for strengthening evidence-based planning and implementation that was initiated in 2019 in five selected African countries (Kenya, Malawi, Mozambique, Senegal, and Togo) during the second round of the CAADP biennial review (BR) process. It analyzes the effect of the activities conducted on the data reporting rate and the quality of data reported in the five pilot countries, compared with what was achieved in like-pilot countries. The like-pilot countries are non-pilot countries that have characteristics like the pilot countries at the baseline which affect selection into the pilot or the data reporting and quality outcomes. Different methods (standard deviations, propensity score matching, and two-stage weighted regression) are used to identify the like-pilot countries, and a difference-in-difference method is used to estimate the effect of the pilot activities on the outcomes. The capacity-strengthening activities focused on working with the country Biennial Review (BR) team to: assess the inaugural or 2018 BR process and identify the data gaps; constitute and train members of data clusters to compile and check the data for the 2020 BR; and then validate and submit the data. The findings show that the activities helped the pilot countries to improve their performance in the data reporting rate and the quality of data reported in the 2020 BR. The largest improvement is observed in Togo and Senegal, followed by Kenya and Malawi, and then Mozambique. The average increase in the data reporting rate between 2018 and 2020 BRs for the pilot countries is greater than the average progress made in the like-pilot countries by about 6 to 9 % pts. This derives mostly from improvements in the data reporting rate for the indicators under theme 3 on ending hunger. Regarding the quality of data reported (measured as the percent of the data reported that have issues) too, the pilot countries on average performed better than the like-pilot countries, especially with respect to the data reported under themes 2 on investment in agriculture and 3 on ending hunger. But most of the estimated differences have low or no statistical significance. Implications for sustaining the progress made in the pilot countries, as well as for extending the activities to other countries, for the next rounds of the BR are discussed.

This paper analyzes the determinants of the composition of government agriculture expenditure (GAE) in Africa and estimates the effect of the composition on agricultural productivity using cross-country annual data from 2014 to 2020 and structural equations modeling methods. It includes different specifications of the explanatory variables to assess the sensitivity of the results to different assumptions of the conceptual variables that are hypothesized to affect the composition and pathways of impact of government expenditure. The results show that there is a wide variation in GAE across African countries, and few have achieved the 10 percent CAADP agriculture expenditure target. Most African countries spend much smaller proportions of the national budget on agriculture than the sector’s share in the economy, and total agriculture expenditure seems to be allocated across subsectors according to their relative contribution to the sector’s output, with forestry and fisheries being slightly favored compared with crops and livestock, which dominate the sector. The allocation is also affected by several factors, such as past output and size of the subsector, official development assistance, education, irrigation, and state of agricultural transformation, although there are cross-subsector differences in their influence. There are also subsector differences in the estimated effect of GAE on land productivity: 0.06 to 0.08 for expenditure on the total sector, 0.02 for research, 0 to 0.09 for crops, 0 to 0.08 for livestock, and 0 to 0.07 for fisheries. The lower bound of zero means that the estimated effect is not statistically significant in some of the model specifications, such as whether cross-subsector expenditure effects are considered. We discuss implications of the results and suggestions for future research.

Research paper, agricultural development, role in economic development, structural change in the agricultural sector - theoretical aspects, decision making, agricultural production production factors, farm households, agricultural technology issues, agricultural policies for speeding up modernization, etc. Graph, references, tables.

Meat, Milk & More: Policy Innovations to Shepherd Inclusive and Sustainable Livestock Systems in Africa highlights options for sustainably promoting growth in the livestock sector, drawing from what four African countries—Ethiopia, Mali, South Africa, and Uganda—have done successfully in terms of institutional and policy innovation as well as programmatic interventions. By adapting these lessons to countries’ specific contexts and scaling them up across the continent, African governments can meet their national and international commitments to agricultural growth and transformation.