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A variable climate, political instability, and other constraints have limited agricultural development in African countries south of the Sahara. Genetically modified (GM) crops are one tool for enhancing agricultural productivity and food security despite such constraints. Genetically Modified Crops in Africa: Economic and Policy Lessons from Countries South of the Sahara investigates how this tool might be effectively used by evaluating the benefits, costs, and risks for African countries of adopting GM crops. The authors gather together studies on GM crops economic effects and impact on trade, how consumers view such crops, and other issues. They find that GM crops have had, on average, ...
The substantial differences in agricultural productivity between Asia and Africa can be largely explained by differences in use of modern inputs. The evidence suggests that better access to infrastructure (such as roads and irrigation) and agricultural services has given Asian farmers significantly better access to modern inputs, while Sub-Saharan African farmers without such an access are not able to fully exploit the benefits of modern agricultural inputs. This brief discusses the relationship between agricultural service provision and modern input use by farmers in Nigeria, with a focus on the differences among states and local government areas (LGA).
From 2006 to mid-2008 the international prices of agricultural commodities increased considerably, by a factor larger than two. This upward trend in agricultural prices captured the world's attention as a new food crisis was emerging. Several explanations for these movements in prices, ranging from demand-driven forces to supply shocks, have been provided by analysts, researchers, and development institutions. This paper is an attempt to empirically validate these explanations using time series econometrics and data at monthly frequency. We focus on the international price of corn, wheat, rice, and soybeans. First, we identify variables associated with the factors mentioned as causing the increase in these agricultural commodities prices. Second, we use time series analysis to try to quantitatively validate those explanations. The empirical work presented here includes first difference models and rolling Granger causality tests. Overall, our empirical analysis mainly provides evidence that financial activity in futures markets and proxies for speculation can help explain the observed change in food prices; any other explanation is not well supported by our time series analysis.
Choice experiments have been widely used in developed countries to assist in the development of public sector policies and private sector strategies. This text demonstrates the applicability of the technique in the developing world.
With one more year before the 2015 deadline for achieving the Millennium Development Goals, the 2014 Global Hunger Index report offers a multifaceted overview of global hunger that brings new insights to the global debate on where to focus efforts in the fight against hunger and malnutrition. The state of hunger in developing countries as a group has improved since 1990, falling by 39 percent, according to the 2014 GHI. Despite progress made, the level of hunger in the world is still serious, with 805 million people continuing to go hungry, according to estimates by the Food and Agriculture Organization of the United Nations. The global average obscures dramatic differences across regions and countries. Regionally, the highest GHI scoresand therefore the highest hunger levelsare in Africa south of the Sahara and South Asia, which have also experienced the greatest absolute improvements since 2005. South Asia saw the steepest absolute decline in GHI scores since 1990. Progress in addressing child underweight was the main factor behind the improved GHI score for the region since 1990.