Naip Toolkit For Malabo Domestication Economic Modeling Of Agricultural Growth And Investment Strategy Case Study Of Kenya

The Malabo Agenda on Accelerated Agricultural Growth and Transformation has brought technical challengesto the development of agricultural strategiesby expanding the number of commitments and goalsunder the Comprehensive Africa Agriculture Development Programme.In this paper, we describe and apply an economic modeling framework that wasdeveloped to identify the agricultural investment priority areas for a country and to define milestones to track its progress towards the Malabo goals. The framework consists ofa three-layer simulation model that aimstocapturemultiple Malabo commitments and goals. First, the agricultural productivity analysis uses the stochastic meta-frontier technique to assess opportunities to increase agricultural productivity. Second, the economywide analysis uses an agricultural and investment focused computable general equilibrium model to capture the Malabo goalson agricultural growth, intra-Africantrade of agricultural commodities, and public and private agricultural investments.Third, the microeconomic analysis builds upon statistical economic modeling to allow direct measurement and simulation of the Malabo goals on poverty and hunger. The modeling framework is applied to Kenya using the most recent data.TheMalabo Agenda simulation results indicate that Kenya’s current nonagriculture-led growth isnot sufficient to achieving the Malabo overarching goals on poverty and hunger. Agriculture-led growthcomplemented by extendedsocial assistanceis more likely to close the income growth and inequality gaps and contribute to achieving the multiple Malabo commitments and goals by 2025.

The study developed a results framework to analyze Rwanda’s progress towards selected CAADP/Malabo, SDGs and Agenda 2063 goals. A Computable General Equilibrium model linked to an income distribution Micro-Simulation model were used to identify priority investment areas for accelerated agricultural growth, poverty and inequality reduction. The current investment trend simulated in the baseline scenario would leave Rwanda off-track to meet these objectives. The analysis of alternative agricultural investment scenarios shows that enhancing the role of the private sector in agriculture will be critical in curbing supply side constraints. The government plays a central role by creating an environment and making the sector more attractive to private investors. Developments outside of the agricultural sector and social protection will be critical to further reduce poverty. Productivity remains one of the major challenges but also one of the most effective solutions for accelerated agricultural growth in Rwanda. Agricultural investments should be designed considering the agricultural value-chain.

The main objective of this study is to assess the potential contribution of agricultural investment to the achievement of Niger's economic and social development objectives. By combining a computable general equilibrium model and a microeconomic model, it helps to determine to what extent the implementation of the National Agricultural Investment Programme (NAIP) would enable Niger to achieve the objectives and targets of the CAADP, the United Nations’ SDGs and the African Union Agenda 2063. The results indicate that the implementation of the NAIP would enable the country to maintain the share of public agricultural expenditure above the 10% target set by CAADP. All things being equal, this would improve the attractiveness of the agricultural sector and increase both domestic and foreign private investment in the sector. Increased public and private investment could lead to agricultural GDP growth at a rate above the CAADP target of 6%, and to the achievement of several sustainable development goals by 2030 as well as some of the targets of the African Union's Agenda 2063. In particular, Niger could halve poverty by 2030. Similarly, the country could achieve the objective of sustainable growth and the creation of decent employment. However, reducing inequality and eradicating extreme poverty will remain major challenges for the country.

The main purpose of this study is to assess the contribution of agricultural investment to the achievement of Côte d'Ivoire's development objectives. More specifically, it aims to analyze the extent to which the implementation of the National Agricultural Investment Programme can contribute to the achievement of the objectives and targets of the Comprehensive Africa Agriculture Development Program (CAADP), the United Nations’ Sustainable Development Goals (SDGs) and the African Union's Agenda 2063. The methodological used combines a computable general equilibrium (CGE) model and a microsimulation model to assess the impact of agricultural investment options on different outcomes related to the different agendas above. The simulation results indicate that the implementation of the NAIP would enable Côte d'Ivoire to make significant progress and achieve some of the CAADP, SDGs and the African union’s 2063 Agenda’s targets. Thus, the country could achieve investment targets by slightly exceeding the 10% share of public expenditure in total government expenditure and a significant increase in private investment in agriculture. This progress in terms of investment could result in an acceleration of agricultural growth so that Côte d'Ivoire's agricultural GDP would increase at a growth rate above the target of 6% per year. It would also make it possible to achieve several SDGs by 2030, as well as certain targets of the African Union's Agenda 2063. However, despite progress in terms of productivity in some segments of the agricultural value chain, the fight against poverty will remain a major challenge that the country will not be able to meet.

Offers more than one thousand entries covering all aspects of African history, civilization, and culture.

This book explores the issue of gender inequality through the lens of the Millennium Development Goals, particularly the first one of halving world poverty by 2015.

Accurate understanding of peoples’ livelihoods activities is needed to inform effective policy. Existing evidence relies heavily on studies that use designated respondents to provide information about their household members, imposing significant costs on these respondents along with possible distortions in the data. In rural Ghana, we randomize the order that household members are asked about and estimate that response fatigue leads to undercounting of labor activities by 8% on average. Women are twice as impacted as men while youth are four times as impacted as older adults, distorting both within-household and population wide comparisons. These biases result from women and youth being listed systematically later in rosters and stronger effects of fatigue for them, conditional on roster position. The implications of our results extend to other topics of enquiry as well, wherever similar repetitive survey structures are deployed, such as birth records, plot-level inputs, and household consumption and expenditures.