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With research staff from more than 60 countries, and offices across the globe, IFPRI provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries.

researcher spotlight

Emily Schmidt

Emily Schmidt is a Senior Research Fellow in the Development Strategies and Governance Unit. Her most recent research explores household livelihood strategies in Papua New Guinea, including linkages between agriculture, poverty, and nutrition outcomes among rural smallholder farmers.

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Foresight and Policy Modeling

Askar Mukashov

Research Fellow

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Bio

Askar Mukashov is a Research Fellow in IFPRI’s Foresight and Policy Modeling Unit. He is a development economist, and his research focuses on economic uncertainty and development strategies, employing computable general equilibrium (CGE) models and various statistical methods, including machine learning. His past work includes evaluating the economywide impacts of diverse policies and economic shocks in several developing countries, as well as making methodological contributions to modeling of uncertainty. Before joining IFPRI, Askar worked at the Kiel Institute for the World Economy, Germany. and the Central Bank of the Kyrgyz Republic. He received his doctoral degree in Quantitative Economics from the University of Kiel, Germany.

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Publications

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Brief

Papua New Guinea: Systematic analysis of domestic production and world market shocks

2025Mukashov, Askar; Dorosh, Paul A.; Schmidt, Emily; Thurlow, James
Details

Papua New Guinea: Systematic analysis of domestic production and world market shocks

Using an economy-wide, multi-sectoral model, this study explores potential vulnerability of Papua New Guinea (PNG) to economic shocks and identifies factors that contribute most to economic uncertainty. Economic scenarios were developed using historical data on volatile domestic sectors (e.g., primary agriculture and hydropower electricity generation) and world prices of goods and services in which PNG trades. The Computable General Equilibrium (CGE) model of PNG was used to simulate a range of potential economic outcomes under these scenarios. In addition, data mining and machine learning methods were applied to quantify the contribution of each shock to the uncertainty of economic outcomes. Key findings suggest that Papua New Guinea’s economy is predominantly exposed to external risks, with world prices and foreign capital volatility together accounting for approximately two-thirds of the potential variation in GDP and three-fourths of the potential variation in private consumption, poverty, and undernourishment (domestic production volatility contributes the remaining one-third and one-fourth, respectively). The current structure of the PNG economy underpins these results. While agriculture is the most uncertain sector, it is relatively less important compared to the overall economy; export earnings from energy and metals, as well as volatile foreign exchange capital inflows, play a much more significant role in the country’s current economic risks. Understanding how potential shocks might impact various segments of the PNG economy and population is a critical first step in facilitating discussions on relevant risk mitigation strategies, such as increasing sectoral productivity or diversifying production away from high-risk sectors.

Year published

2025

Authors

Mukashov, Askar; Dorosh, Paul A.; Schmidt, Emily; Thurlow, James

Citation

Mukashov, Askar; Dorosh, Paul A.; Schmidt, Emily; and Thurlow, James. 2025. Papua New Guinea: Systematic analysis of domestic production and world market shocks. Papua New Guinea Project Note 18. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/173653

Country/Region

Papua New Guinea

Keywords

Oceania; Computable General Equilibrium Models; Domestic Production; Machine Learning; Shock; Vulnerability; World Markets

Language

English

Access/Licence

Open AccessCC-BY-4.0

Source

Source record

Project

Climate Resilience

Record type

Brief

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Brief

Nepal: Systematic analysis of domestic production and world market shocks

2024Mukashov, Askar; Thurlow, James; Dorosh, Paul A.; Jones, Eleanor
Details

Nepal: Systematic analysis of domestic production and world market shocks

This study explores Nepal’s vulnerability to economic shocks and identifies those contributing most to economic uncertainty. Our analysis is based on an empirically based estimation of the probability distribution of these shocks and a machine learning summary of several thousand simulations of their impacts using a Computable General Equilibrium (CGE) model for Nepal. In this way, we are able to quantify the contribution of each shock to the uncer-tainty of economic outcomes (gross domestic product [GDP], private consumption, poverty, and undernourishment). Our findings indicate that, given the very high import intensity of the economy, world market price and foreign exchange (FX) flow volatility have the largest impact on household welfare (consumption, poverty and undernour-ishment). However, domestic yield volatility, especially cereal yield volatility, is the most important risk to Nepal’s GDP. However, Overall, these findings suggest that risk mitigation strategies, such as increasing average crop yields, adopting technologies and practices that narrow yield uncertainties, or diversifying production away from risky crops and sectors, can have major benefits for Nepal’s households and the overall economy.

Year published

2024

Authors

Mukashov, Askar; Thurlow, James; Dorosh, Paul A.; Jones, Eleanor

Citation

Mukashov, Askar; Thurlow, James; Dorosh, Paul A.; and Jones, Eleanor. 2024. Nepal: Systematic analysis of domestic production and world market shocks. Country Brief 5. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/168723

Country/Region

Nepal

Keywords

Asia; Southern Asia; Risk Assessment; Climate; Shock; Economic Shock; Market Prices; Computable General Equilibrium Models; Machine Learning; Agriculture; Crop Yield

Language

English

Access/Licence

Open AccessCC-BY-4.0

Source

Source record

Project

Foresight

Record type

Brief

Resource thumbnail

Brief

Bangladesh: Systematic analysis of domestic production and world market shocks

2024Mukashov, Askar; Jones, Eleanor; Thurlow, James
Details

Bangladesh: Systematic analysis of domestic production and world market shocks

This study explores Bangladesh’s vulnerability to economic shocks and identifies those contributing most to eco-nomic uncertainty. The Bangladesh Computable General Equilibrium (CGE) model was employed to simulate a range of potential economic outcomes under various shock scenarios sampled using historical data to capture domestic agricultural yield volatilities and world market price uncertainty for traded goods. Data mining and machine learning methods were applied to quantify the contribution of each shock to the uncertainty of economic outcomes (gross domestic product [GDP], private consumption, poverty, and undernourishment). Our findings suggest that potential variation in Bangladesh’s GDP ranges from +0.8 to -1.0 percent to baseline, with domestic shocks ac-counting for 53.7 percent of uncertainty, and remaining 41.7 percent are explained by the volatility of world market prices and Foreign Exchange (FX) flows. At the same time, private consumption is more uncertain (from +4.0 to -3.5 percent to base), and external factors are the most important risk contributors (70.1 percent is world prices and 2.9 percent is FX flows). Similarly, external factors contribute roughly two-thirds to the potential variation of national poverty and undernourishment rates that fluctuate from -2.4 to +1.8 and –2.2 to +1.9 relative to the baseline rates percentage points respectively. Understanding how potential shocks might impact various segments of the Bang-ladesh economy and population is a critical first step in facilitating a discussion on risk mitigation strategies that include increasing sectoral productivity or diversifying production to reduce reliance on high-risk sectors.

Year published

2024

Authors

Mukashov, Askar; Jones, Eleanor; Thurlow, James

Citation

Mukashov, Askar; Jones, Eleanor; and Thurlow, James. 2025. Bangladesh: Systematic analysis of domestic production and world market shocks. Country Brief 6. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/169665

Country/Region

Bangladesh

Keywords

Asia; Southern Asia; Shock; Economic Shock; Computable General Equilibrium Models; Agriculture; Market Prices; Machine Learning; Climate Change

Language

English

Access/Licence

Open AccessCC-BY-4.0

Source

Source record

Project

Foresight

Record type

Brief

Blogs

Revisiting development strategies under climate uncertainty: Insights from Malawi
IFPRI Blog
 | 
July 19, 2024

Revisiting development strategies under climate uncertainty: Insights from Malawi

By Askar Mukashov and Eleanor Jones

Does the threat of climate change significantly undermine strategies focusing on agriculture?

Events

32nd International Conference of Agricultural Economists
IFPRI at External Event

 | 

August 2 to 7, 2024

32nd International Conference of Agricultural Economists

The triennial International Conference of Agricultural Economists (ICAE-2024), centred on the theme “Transformation Towards Sustainable Agri-Food Systems” is scheduled from August 2-7, 2024, in New Delhi, India. The conference offers a distinctive platform, providing a golden opportunity for the agricultural academic institutions and researchers to convene in person, exchange knowledge, and actively contribute to the […]