Foresight and Policy Modeling

India’s agrifood system: Structural features and policy priorities

Harvesting change: The impact of climate change on Africa’s agriFood systems

Africa is one of the most exposed continents to climate change. While global temperature has risen by 0.2°C per decade since 1991, in Africa the rate is faster, reaching 0.3°C (WMO 2022). Yet Africa contributes only modestly to climate change. Indeed, the continent emits 7 times less greenhouse gas compared to Europe and 15 times compared to North America (IPCC, 2023). In addition to rising temperatures, climate change affects Africa through several channels, including an increase in ocean levels, variations in precipitations (droughts and heavy rains), plant pests and animal diseases. Climate change is also expected to contribute to a significant reduction in arable land in the continent (IPCC, 2023). The new CAADP strategy and action plan for 2026-2035 recognizes that Africa is the hardest hit by climate change and that the phenomenon is one of the major threats to Africa’s agricultural systems and food security in the coming years. All of these changes will affect agricultural production, a major challenge for Africa, as African economies and livelihoods remain heavily dependent on agriculture. Agriculture still represents 16% of Africa GDP with contributions ranging from 3% in Southern Africa to 25% in the eastern part of the continent. Due to the low level of labor productivity in agriculture, the sector’s contributions to total employment are higher than those of other sectors. By inducing structural changes in agricultural production, climate change will also affect trade flows by shifting comparative advantages between and within continents. Prices will also be affected. This Policy Brief i shows how Africa’s agricultural production and trade patterns are altered by climate change. It highlights the large impacts of climate change on agricultural production, reinforcing results from other work. It shows that the impacts on prices compound the production impacts on African economies and people given many countries in the region are net importers. However, the work also shows that there are substantial differences across the region in the size of the impacts.

Regional implications of public investments and external shocks in Papua New Guinea: An economywide analysis

Improvements in telecommunications have enabled a tremendous increase in the flow of information across Papua New Guinea. Although transport costs remain high between various parts of the main island of Papua New Guinea, as well as between the main island and other parts of the country (e.g. the islands of New Britain and Bougainville to the East), phone and internet conditions enable government, traders and entrepreneurs to share market information that reduces transactions costs and improves market function. Nonetheless, there remain major differences in agricultural production, income sources and demand patterns across regions that are important to take into account in analyzing the impacts of external shocks and formulating development strategies. Earlier work on PNG by Schmidt et al., (2021) explored the effects of Covid-related income and world rice price shocks with a partial equilibrium model of PNG’s rice economy. Diao et al., (2021) used a regional multi-market model to analyze broader effects of Covid-19 and other shocks to agriculture and household incomes in four regions of PNG. Various other studies, including Dorosh and Pradesha (2022) and Diao et al. (2024), used national computable general equilibrium (CGE) models of PNG to analyze exchange rate, terms of trade, and productivity shocks on various household groups. In this paper, we extend these earlier analyses through use of a new regional CGE model that utilizes recent household survey data, including the 2023 IFPRI PNG rural household survey. The plan of this paper is as follows. The next section provides an overview of agriculture and economic growth in PNG over the last decade, highlighting the almost constant share of agriculture in GDP and very low per capita agricultural GDP growth rate. Section 3 describes the regional disaggregation of the PNG economy and the structure of household incomes and expenditure as reflected in the economywide database, the Social Accounting Matrix (SAM), used in this analysis. Section 4 then presents a summary of the regional economywide model. (Details of the model are found in the annexes and in the references included in the paper.) Design of the model simulations and simulation results covering investments in agriculture and transport sectors, as well as world price shocks are discussed in Section 5. Chapter 6 concludes with a summary of the main findings and policy implications, as well as suggested areas for further work.

Food Security Simulator – Malawi

The Food Security Simulator Malawi (FSS-MWI) is an innovative and easy-to-use, MS-Excel-based tool for assessing the potential short-term impacts of food price or household income shocks, along with changes in preferences, on food security and people’s diets. The Simulator is an ideal tool for first-cut forward-looking evaluations of direct, household-level outcomes of economic crises and policy responses in a timely manner. The tool allows users to enter positive and negative price or income changes in percentage terms and provides simulated changes for a diverse set of food-consumption- and diet-quality-related indicators. In addition to detailed tabular presentations of all simulation results by household income quintile and residential area, key indicator results are summarized in concise overview tables and visualized in graphs for easy export and use in reports. The underlying data include estimates from representative household survey data and rigorous, sophisticated food demand models to capture consumer behavior.

2024 Social Accounting Matrix for Egypt

The 2024 Egypt Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

2023 Social Accounting Matrix for Sierra Leone

The 2023 Sierra Leone Social Accounting Matrix (SAM) follows IFPRI’s Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI’s website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.