The COVID‐19 impact on the global economy combined with partial lockdown measures in Ethiopia represents a large, unprecedented shock to the country's economy.

Prolonged droughts and depleting groundwater resources have been a serious challenge to the economy of province of Balochistan, Pakistan.

This study assesses the impact of coronavirus disease 2019 (COVID‐19) on poverty, food insecurity, and diets, accounting for the complex links between the crisis and the incomes and living costs of vulnerable households.

The herd dynamics model (HDM) component of the Linked Economic and Animal Systems (LEAS) model specifically documented here is developed in the context of the Feed the Future Innovation Lab for Livestock Systems financed by the United States Agenc

The variety of demands that people place on water resources, coupled with the dynamics of the natural system, make water resource management highly complex.

Extreme weather causes substantial damage to livelihoods of smallholder farmers globally and are projected to become more frequent in the coming decades as a result of climate change.

This report evaluates the outputs from the CGIAR Research Program on Policies, Institutions, and Markets (PIM) on national social accounting matrices (SAMs) and single-country computable general equilibrium (CGE) models.

The study of market integration offers a powerful tool for understanding the relationships between geographically distant markets, for analyzing the impact of liberalization policies and for diagnosing the transmission of price shocks.

Extreme weather events cause considerable damage to the livelihoods of smallholder farmers globally.

Groundnut is one of the significant sources of oil, food, and fodder in India. It is grown in marginal arid and semi-arid agro-ecosystems with wide yield fluctuations due to spatial variability of rainfall and soil.

Initial impacts & resilience of China's food systems during the pandemic and the government's responses & long-term efforts to promote resilience.

Social Accounting Matrix (SAM) multiplier analysis has been employed to assess the impacts of COVID-19 on various macroeconomic variables including Gross Domestic Product (GDP), employment, and poverty in Pakistan.

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.

Wheat (Triticum aestivum) is the most widely grown food crop in the world threatened by future climate change.

This new Social Accounting Matrix (SAM) for Jordan is a snapshot representation of the Jordanian economy in which productive activities, factors of production, and economic transactions between the main agents, including households, government, an

There has been an unprecedented decline in the flow of remittances to Yemen – a vital source of money for millions – as a result of the COVID-19 pandemic.

Overview

The papers and ideas on foresight and trade-off analysis presented in this issue are very timely.

Climate change effects on agricultural yields will be uneven over the world. A few countries, mostly in high latitudes, may experience gains, while most will see average yield decrease.