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Assessing the contribution of PIM to strengthening the capacity of developing country representatives to represent their interests in trade negotiations related to agriculture
The purpose of this review is to assess the extent to which the research outputs of Flagship 3, cluster on The Policy Environment for Value Chains (cluster 3.1) of the CGIAR Research Program on Policies, Institutions, and Markets (PIM) have been used to inform decisions and behaviors of representatives of government organizations, development agencies, researchers, donors, private firms, nongovernment organizations, and other users. The assessment both reviews the achievement of past milestones as well as looks forward to how re-searchers should support the trade agenda in developing countries going forward through their research and communication of research and what should be the focus in ...
Gender and trade in Africa: Case study of Niger
The evidence on the impact of trade liberalization on gender inequalities is not fully established yet, nor is the impact of gender inequalities on trade policy outcomes. Sociocultural norms, legal barriers, and socioeconomic disadvantages are the main gender-based discrimination that affect the distribution of trade benefits between men and women. This study applied to Niger assesses the distributional effects of trade reforms between men and women and sheds light on the impact of gender-based barriers on the outcome of trade reforms. The Common External Tariff (CET) of the Economic Community of West African States has guided Niger’s trade policy since its implementation in 2015. Thus, th...
MIRAGRODEP with endogenous tariffs 1.0: Documentation
MIRAGRODEP with endogenous tariffs is a recursive dynamic multi-region, multi-sector Computable General Equilibrium (CGE) model based on MIRAGRODEP which in turn is based on MIRAGE (Modelling International Relations Under Applied General Equilibrium). It constitutes an extension of the MIRAGRODEP model that allows the user to perform analysis involving endogenous tariffs such as designing optimal common external tariffs (CET) in customs unions. The model is particularly suitable for trade policy analysis that require designing optimal levels of tariffs for regional trade agreements.
Africa agriculture trade monitor 2023
The 2023 Africa Agriculture Trade Monitor, a flagship publication of AKADEMIYA2063 and the International Food Policy Research Institute, provides an overview of trade in agriculture in Africa, including analysis of short- and long-term trends and drivers behind Africa’s global trade, intra-African trade, and trade within Africa’s regional economic communities. The 2023 report highlights the growing treat of climate change to trade; looks closely at the impact of the Russia-Ukraine war on food security and poverty; draws on the report’s robust trade database to analyze African agrifood trade and nutrition; examines the types of trade agreements that successfully boost trade, and the implications for the African Continental Free Trade Area Agreement; and includes focused chapters on the competitiveness of cotton value chains in Africa and world trade and on trade integration in Economic Community of Central African States.
Africa Agriculture Trade Monitor 2024
The 2024 AATM investigates critical issues related to African agricultural trade. As in previous editions of the report, we have developed a database that corrects discrepancies in trade flow values, as reported by importing and exporting countries, as the basis for analyzing Africa’s international, domestic, and regional economic community (REC) trade. Given the pressing need to address climate change and curb greenhouse gas emissions, this year’s AATM takes an in-depth look at the relationship between climate change, water use, and emissions and African agricultural trade.
MIRAGRODEP-AEZ 1.0: Documentation
MIRAGRODEP-AEZ is a recursive dynamic multi-region, multi-sector Computable General Equilibrium (CGE) model based on MIRAGRODEP which in turn is based on MIRAGE (Modelling International Relations Under Applied General Equilibrium) with Agro-ecological zones (regions). It constitutes an extension of the MIRAGRODEP model that allows the user to perform analysis at the subnational level using spatial disaggregated data. The model is particularly suitable for agricultural policy analysis that require working at different levels of disaggregation to consider differences in agro-ecological conditions.
The European Union–West Africa Economic Partnership Agreement
Despite recent modifications, the Economic Partnership Agreement (EPA) between the European Union (EU) and West African (WA) countries is still being criticized for its potential detrimental effects on WA countries. This paper provides updated evidence on the impact of the EPA on these countries. A dynamic multicountry, multisector computable general equilibrium trade model with modeling of the dual-dual economy and with a consistent tariff aggregator is used to simulate a series of new scenarios that include updated information on the agreement. We also go beyond estimating macrolevel economic effects to analyze the impacts on poverty. The policy simulation results show that the implementation of the EPA between the EU and WA countries would have marginal but positive impacts on Burkina Faso and Côte d’Ivoire and negative impacts on Benin, Ghana, Nigeria, Senegal, and Togo. The impact on poverty indicators in Ghana and Nigeria would be marginal. From the perspective of WA countries, this study supports the view that recent EU concessions are not sufficient and that domestic fiscal reforms are needed in WA countries themselves.
Existing data to measure African trade
One finds a broad consensus in the literature regarding the lack of good information on trade in Africa, particularly intraregional trade. This paper attempts to identify gaps and remedies in measuring and tracking trade in Africa. We review the major international and regional databases that track trade in Africa, identifying the gaps therein. We also review the studies that have attempted to track informal trade between African countries, and we look at the major ongoing initiatives to track such informal trade. It appears that both international and regional databases suffer from a lack of reporting or from faulty reporting of African trade statistics. Informal trade flows pose an ongoing...
Forecasting commodity prices using long-short-term memory neural networks
This paper applies a recurrent neural network (RNN) method to forecast cotton and oil prices. We show how these new tools from machine learning, particularly Long-Short Term Memory (LSTM) models, complement traditional methods. Our results show that machine learning methods fit reasonably well with the data but do not outperform systematically classical methods such as Autoregressive Integrated Moving Average (ARIMA) or the naïve models in terms of out of sample forecasts. However, averaging the forecasts from the two type of models provide better results compared to either method. Compared to the ARIMA and the LSTM, the Root Mean Squared Error (RMSE) of the average forecast was 0.21 and 21.49 percent lower, respectively, for cotton. For oil, the forecast averaging does not provide improvements in terms of RMSE. We suggest using a forecast averaging method and extending our analysis to a wide range of commodity prices.
