This paper combines pre-pandemic face-to-face survey data with follow up phone surveys collected in April-May 2020 to quantify the overall and differential impacts of COVID-19 on household food security, labor market participation and local food prices in Nigeria. We exploit spatial variation in exposure to COVID-19 related infections and lockdown measures along with temporal differences in our outcomes of interest using a difference-in-difference approach. We find that those households exposed to higher COVID-19 cases or mobility lockdowns experience a significant increase in measures of food insecurity. Examining possible transmission channels for this effect, we find that COVID-19 significantly reduces labor market participation and increases food prices. We find that impacts differ by economic activities and households. For instance, lockdown measures increased households' experience of food insecurity by 12 percentage points and reduced the probability of participation in non-farm business activities by 13 percentage points. These lockdown measures have smaller impacts on wage-related activities and farming activities. In terms of food security, households relying on non-farm businesses, poorer households, those with school-aged children, and those living in remote and conflicted-affected zones have experienced relatively larger deteriorations in food insecurity. These findings can help inform immediate and medium-term policy responses, including social protection policies aiming at ameliorating the impacts of the pandemic, as well as guide targeting strategies of governments and international donor agencies by identifying the most impacted sub-populations.

Despite technological advances in agriculture, nearly a billion people around the world still suffer from hunger and poor nutrition while a billion are overweight or obese. This imbalance highlights the need not only to focus on food production but also to implement successful food policies. In this new textbook intended to be used with the three volumes of Case Studies in Food Policy for Developing Countries (also from Cornell), the 2001 World Food Prize laureate Per Pinstrup-Andersen and his colleague Derrill D. Watson II analyze international food policies and discuss how such policies can and must address the many complex challenges that lie ahead in view of continued poverty, globalization, climate change, food price volatility, natural resource degradation, demographic and dietary transitions, and increasing interests in local and organic food production. Food Policy for Developing Countries offers a "social entrepreneurship" approach to food policy analysis. Calling on a wide variety of disciplines including economics, nutrition, sociology, anthropology, environmental science, medicine, and geography, the authors show how all elements in the food system function together.

In The Nigerian Rice Economy the authors assess three options for reducing this dependency - tariffs and other trade policies; increasing domestic rice production; and improving post-harvest rice processing and marketing - and identify improved production and post-harvest activities as the most promising. These options however, will require substantially increased public investments in a variety of areas, including research and development, basic infrastructure (for example, irrigation, feeder roads, and electricity), and rice milling technologies.

Food systems around the world face a triple challenge: providing food security and nutrition for a growing global population; supporting livelihoods for those working along the food supply chain; and contributing to environmental sustainability. Better policies hold tremendous promise for making progress in these domains.

This book provides fresh insights into concepts, methods and new research findings on the causes of excessive food price volatility. It also discusses the implications for food security and policy responses to mitigate excessive volatility. The approaches applied by the contributors range from on-the-ground surveys, to panel econometrics and innovative high-frequency time series analysis as well as computational economics methods. It offers policy analysts and decision-makers guidance on dealing with extreme volatility.