Spatial Market Integration Of Food Markets During A Shock Evidence From Food Markets In Nigeria

This paper uses comprehensive and long time series monthly food price data and a panel dyadic regression framework to evaluate the impact of the COVID-19 pandemic and associated policy responses on spatial market integration across a diverse set of food items in Nigeria. The empirical results reveal several important insights. First, we show that a significant slowdown in the speed of adjustment and price transmission occurred during the pandemic. For some food items, the speed of adjustment and, by implication, spatial market integration weakened by two- to-threefold after the pandemic outbreak. The effect was specially pronounced for perishable food items. Second, lockdown measures and the spread of the pandemic triggered additional dispersion in market prices across markets. For example, lockdown measures were associated with a 5–10 percent reduction in the speed of readjustment toward long-term equilibrium. Third, additional underlying attributes of markets, including lack of access to digital infrastructure and distance between markets, exacerbated impacts associated with the pandemic. For instance, access to Internet service reduced the slowdown in the speed of adjustment caused by the pandemic, but longer distances between market pairs induced greater slowdown in the speed of price transmission. Our findings offer important insights for revitalizing the efficiency of food markets affected by the pandemic. The heterogenous impacts of the pandemic across value chains and markets reinforce the need to properly target post-pandemic recovery interventions and investments. Finally, we offer some insights to reduce the vulnerability of food and market systems to disruptions in future pandemics or similar phenomena that inhibit food marketing and trade.

This book explores the inputs with regard to individuals and companies who have developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, etc., that can be leveraged for strengthening the fight against coronavirus. It focuses on technology solutions to stop Covid-19 outbreak and mitigate the risk. The book contains innovative ideas from active researchers who are presently working to find solutions, and they give insights to other researchers to explore the innovative methods and predictive modeling techniques. The novel applications and techniques of established technologies like artificial intelligence (AI), Internet of things (IoT), big data, computer vision and machine learning are discussed to fight the spread of this disease, Covid-19. This pandemic has triggered an unprecedented demand for digital health technology solutions and unleashing information technology to win over this pandemic.

This paper evaluates spatial market and price transmission in cereal markets in Sudan, focusing on wheat and sorghum, two major cereal crops. We use comprehensive and long-ranging monthly cereal price data and a multivariate vector of error-correction cointegration models (VECM) to characterize both short-term and long-term price transmissions across local cereal markets. We find that among the 15 local wheat markets and 18 sorghum markets we can only detect significant spatial market integration among 7 wheat and 10 sorghum markets. Despite some strong spatial market integration among a few neighboring markets, there is no market integration between several regions. For example, cereal markets in Darfur are not integrated with cereal markets in the rest of the country. Among integrated markets, we observe significant variations in the strength of price transmission elasticities as well as speed of adjustment to longterm equilibrium, which implies that shocks (and price policies) in some markets can affect only some other markets. Most of the strong price transmission and spatial market dependence follow existing trade flows and road networks, insinuating that infrastructural barriers may be obstructing spatial market integration. We also find that markets in production surplus states are less responsive to price changes in neighboring markets than those located in cereal deficit states. Finally, we also observe relatively stronger spatial integration and short-term adjustment in sorghum markets than wheat markets. Shocks to sorghum prices in sorghum producing markets have permanent impact while shocks to wheat prices in wheat producing markets endure transitory effects. These findings have important policy implications for improving the efficiency of cereal markets in Sudan and other similar settings.

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.

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.

An authoritative assessment of the reform efforts in African economies during the 1980s and early 1990s, with the focus on economic liberalization in those socialist countries which began from a position of pervasive state intervention. A companion theoretical volume (0-333-66545-7) examines the changing role of the state during the period of transition. This volume examines the important debate on agricultural reforms in the period, and provides in-depth country studies of the transition economies, covering Congo, Madagascar, Tanzania and the impact of war on transition in Angola and Mozambique. These books are the first in an important new series in association with the Centre for the Study of African Economies, University of Oxford.

A timely publication as world leaders deliberate the causes of the latest bouts of food price volatility and search for solutions that address the recent velocity of financial, economic, political, demographic, and climatic change. As a collection compiled from a diverse group of economists, analysts, traders, institutions and policy formulators - comprising multiple methodologies and viewpoints - the book exposes the impact of volatility on global food security, with particular focus on the world's most vulnerable.