In complex nutrition-sensitive interventions, separately identifying the effect of each programmatic component on the outcomes of interest can be challenging.

Low-cost and sustainable agricultural management practices are being promoted in many countries but continue to face low adoption among farmers.

Gender differences in the engagement of work activities across sectors are important elements of gender inequality in rural livelihoods and welfare in developing countries.

India has been hard hit by the COVID-19 pandemic. In the context of a larger quasi-experimental impact assessment, we assess the pandemic’s effects on coping behavior in 80 villages spread across four districts and three states (n=772).

This paper considers different approaches to modelling the economic impact of the Covid-19 pandemic/lockdown shocks.

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

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

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.

This study assesses the impact of 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.

Technology adoption has been advocated as an important way to improve agricultural productivity and welfare of farmers in the semi-arid regions across the globe.

The primary aim of this study is to prioritize investment required for scaling up climate-smart agriculture (CSA) technologies across different districts of Telangana state, which is in the semi-arid region of India.

Climate change has brought large instabilities in agricultural systems, in terms of both crop yield and net farm income. Climate smart agriculture is one of the innovative methods that tries to build resilience in agricultural systems.

To understand the impacts of support programs on global emissions, this paper considers the impacts of domestic subsidies, price distortions at the border, and investments in emission-reducing technologies on global greenhouse gas (GHG) emissions

International migration has grown rapidly over the past two decades, at an annual rate of 2.4%, prompting increased interest in identifying the root causes of outmigration and the population groups more likely to emigrate.

Over the past decade, Ghana’s tilapia farming has experienced tremendous growth in production; however, much of the growth has been driven by large-scale cage farmers around Lake Volta.

The aim of Nigeria’s extension reform and transformation agenda through its new national extension policy (NEP) is to put in place a legislated, pluralistic, farmer-responsive, and market-oriented extension system.

In developing countries macroeconomic volatility is common, and severe negative economic shocks can substantially increase poverty and food insecurity.

Ethiopian economy has grown at an average rate that surpasses that of almost any other economy in the region over the last two decades.

Since Amartya Sen’s famous work on Poverty and Famines, economists have understood that policy responses to food market shocks should be guided by changes in households’ incomes and access to food, rather than by overall food availability.