After 50 years of success, multilateral trade liberalization, conducted under the umbrella of the World Trade Organization (WTO), is in a deadlock, as illustrated by the impasse in which the Doha Round is for almost 20 years.

Dans un contexte de grave perturbation de la structure du commerce mondial due à la pandémie de coronavirus, l’édition 2020 du Moniteur du commerce agricole en Afrique (Africa Agriculture Trade Monitor, AATM) analyse les tendances les plus marquan

The global Food Security Portal (FSP), facilitated by the International Food Policy Research Institute (IFPRI), presents up-to-date data and information about dynamic developments in the world food system and increases policymakers’ ability to res

The 2020 Africa Agriculture Trade Monitor, the third in this series of flagship reports, presents an overview of trade in agriculture products in Africa and highlights the main impediments that affect intra- and extra-African trade.

In response to the COVID-19 crisis, some governments have implemented export restrictions and other trade policy measures to secure their food supply.

Lately, India’s trade policy seem to lack a vision. After actively pursuing it for over a decade, India decided against joining RCEP at the eleventh hour.

How can decisionmakers resolve the tension between optimal long-run policies and short-run initiatives to address food security concerns?

The multilateral trading system is on the verge of a crisis arising from, among others, the dysfunction of the WTO as a forum for trade liberalization and trade related rule-making.

Export taxes have been used in many countries. The 2007–2008 food price crisis shed light on export policies’ dangerous consequences for food security during periods of price spikes.

The evidence on the impact of trade liberalization on gender inequalities is not fully established yet, nor is the impact of gender inequalities on trade policy outcomes.

This brief examines possible policy responses to the adjustment costs related to international trade.

We show analytically and empirically that non-classical measurement errors in the two key variables in a hypothesized relationship can bias the estimated relationship between them in any direction.