This paper analyzed the determinants of India’s virtual water trade in crops and crop products for the period 2001 to 2020.

Agricultural support policies cost more than US$800 billion per year in transfers to the farm sector worldwide.

The purpose of this review is to assess the extent to which the research outputs of Flagship 3, cluster on The Policy Environment for Value Chains (cluster 3.1) of the CGIAR Research Program on Policies, Institutions, and Markets (PIM) have been u

Recent literature suggests that agricultural value chains are changing rapidly and places an increasing focus on the importance of actors and activities taking place in the “midstream” of these value chains, after production and prior to final sal

This paper analyses relative contribution of intensive and extensive margins to growth in India’s agricultural exports for the period 2001 to 2020.

This paper analyses the dynamics of comparative advantage in India’s agricultural exports over the period 2001 to 2019.

China’s rapid rise as a leading global exporter of manufacturing goods since its accession to the WTO in 2001 has been the focus of both admiration and, increasingly, concern, but China is also a large importer of goods, particularly agricultural

The International Food Policy Research Institute’s International Model for Policy Analysis of Agricultural Commodities and Trade (IMPACT) supports analysis of long-term challenges and opportunities for food, agriculture, and natural resources at g

In situations with imperfect information, the way that value chain actors perceive each other is an important determinant of the value chain's structure and performance.

The onset of the COVID-19 pandemic has presented a unique challenge to governments across the globe, reinforcing the need to improve understanding of domestic and international trade trends to provide more informed options for policy response.

Coffee is Ethiopia’s most important export commodity, cultivated by over 6 million smallholder farmers in the country, and accounting for about one-third of the country’s commodity exports.

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

As part of the work implemented by CGIAR on COVID-19, the COVID-19 Research Hub Working Group 4 “Address food systems’ fragility and build back better” was tasked with implementing a global assessment of the impacts of COVID-19 on food systems and

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.

Agri-food production remains vital to the economies in Latin America and the Caribbean (LAC).