Senegal reported its first case of COVID-19 on March 2, 2020.

Time use, or how women and men allocate their time, is an important aspect of empowerment.

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.

In anticipation of the development of a safe and effective COVID-19 vaccine—the distribution of which will be a complex and sensitive issue—governments will need to assess the number and location of the most vulnerable people within their populati

Amid extreme uncertainty during the COVID-19 pandemic, economic policymakers have struggled to respond to rapidly changing circumstances with appropriate speed and scale.

Since it formally began, extension institutions have been innovating in response to the changing environment. Past crises have induced organizational innovation in limited ways.

This edited volume brings together effective measurement, methodologies, and determinants of food loss & waste (FLW), and more.

This paper discusses the feasibility of applying a near-surface remote sensing approach in the index insurance component of the R4 Rural Resilience Initiative in Ethiopia.

This price bulletin was developed by researchers at IFPRI Malawi with the goal of providing clear and accurate information on the variation of weekly retail prices of selected agricultural commodities that are important for food security and nutri

This price bulletin was developed by researchers at IFPRI Malawi with the goal of providing clear and accurate information on the variation of weekly retail prices of selected agricultural commodities that are important for food security and nutri

This report analyses PIM’s 391 peer-reviewed 2018 and 20191 publications.

For this study, we created a new database of emissions in agricultural production.

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.

We study production practices of larger and more capital-intensive farmers (“horti-preneurs”) in horticultural commercial clusters in the central Rift Valley of Ethiopia.

Sub‐Saharan Africa has long been beset with food insecurity and energy poverty. Expanding irrigated agriculture can help boost food production in the region, but this requires energy for accessing water, especially in groundwater‐fed irrigation.

In many developing countries, poor delivery of public services remains an important problem. Public infrastructure, such as roads or boreholes for drinking water, is poor. The quality of service provided in hospitals or schools is low.

Prices of major food staples in Kokopo, Lae and Port Moresby have remained broadly stable over 2019 and 2020.