Global Practice on Water, The World Bank
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Fields of Specialization
Impact evaluation, Applied microeconomics
Global Practice on Water, The World Bank
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Last updated June 26, 2023
George Joseph is a Senior Economist with the Water Global Practice of the World Bank, Washington, DC. His research interests are centered on development economics and behavioral and applied microeconomics. He received his PhD in economics from Rutgers, the State University of New Jersey, and an MA in economics from Jawaharlal Nehru University, New Delhi, India
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Now showing 1 - 4 of 4
Publication(World Bank, Washington, DC, 2008-10) Joseph, George ; Wodon, QuentinConcerns have been raised about the impact of rising food prices worldwide on the poor. To assess the (short term) impact of rising food prices in any particular country it is necessary to look at both the impact on food producers (who benefit from an increase in prices) and food consumers (who loose out when the price increases), with a focus on poor producers and consumers. In Mali the impact of a change in the price of rice is not ambiguous because about half of the rice consumed in the country is imported, so that the negative impact for consumers is much larger than the positive impact for producers. By contrast, for millet and sorghum, as well as corn, the impact is more ambiguous since much of the consumption is locally produced. Using a recent and comprehensive household survey, this paper provides an assessment of the potential impact of higher food prices on the poor in Mali using both simple statistical analysis and non-parametric methods. The paper finds that rising food prices for rice, millet and sorghum, corn, as well as wheat and bread could together lead to a substantial increase in poverty, with the increase in the price of rice having by far the largest negative impact.
Potential Impact of Higher Food Prices on Poverty : Summary Estimates for a Dozen West and Central African Countries(World Bank, Washington, DC, 2008-10) Wodon, Quentin ; Tsimpo, Clarence ; Backiny-Yetna, Prospere ; Joseph, George ; Adoho, Franck ; Coulombe, HaroldConcerns have been raised about the impact of rising food prices worldwide on the poor. To assess the impact of rising food prices in any particular country it is necessary to look at both the impact on food producers who are poor or near-poor and could benefit from an increase in prices and food consumers who are poor or near-poor and would loose out when the price increases. In most West and Central African countries, the sign (positive or negative) of the impact is not ambiguous because a substantial share of food consumption is imported, so that the negative impact for consumers is larger than the positive impact for net sellers of locally produced foods. Yet even if the sign of the impact is clear, its magnitude is not. Using a set of recent and comprehensive household surveys, this paper summarizes findings from an assessment of the potential impact of higher food prices on the poor in a dozen countries. Rising food prices for rice, wheat, maize, and other cereals as well as for milk, sugar and vegetable oils could lead to a substantial increase in poverty in many of the countries. At the same time, the data suggest that the magnitude of the increase in poverty between different countries is likely to be different. Finally, the data suggest that a large share of the increase in poverty will consist of deeper levels of poverty among households who are already poor, even if there will also be a larger number of poor households in the various countries.
Understanding the Geographical Distribution of Stunting in Tanzania: A Geospatial Analysis of the 2015-16 Demographic and Health Survey(World Bank, Washington, DC, 2019-01) Joseph, George ; Gething, Peter W. ; Bhatt, Samir ; Ayling, Sophie C.E.Tanzania is home to the third highest population of stunted children in Sub-Saharan Africa, with about 2.7 million children under the age of five failing to reach their full potential of growth attainment compared with the reference population as per the World Health Organization standards. Several studies have shown that stunted growth during childhood entraps the future of children in a vicious circle of recurrent diseases, reduced human development, and lower earnings, thus increasing their likelihood of being poor when they grow up. To reduce stunting, the Government of Tanzania and development partners are introducing a convergence of multisectoral interventions adapted to local needs. However, the existing stunting data are representative only at higher administrative levels, thus making it difficult to implement these efforts. The paper uses the 2016 geo-referenced Demographic and Health Survey in conjunction with relevant spatially gridded covariate data, such as nighttime lights, water and sanitation access, vegetation index, travel time, and so on. Geospatial techniques, such as model-based statistics and Bayesian inference implemented using the INLA algorithm, along with appropriate model validation exercises are employed to develop high-resolution maps of stunting in Tanzania at 1×1-kilometer spatial resolution. The maps show that areas of consistently high stunting rates tend to be more common in rural parts of the country, especially throughout the western and southwestern border areas. There is high prevalence of low stunting in the urban areas around Dar es Salaam, Arusha, and Dodoma, as well as in the south of Lake Victoria.
Publication(World Bank, Washington, DC, 2018-03) Andres, Luis ; Chellaraj, Gnanaraj ; Das Gupta, Basab ; Grabinsky, Jonathan ; Joseph, GeorgeThis paper utilizes information from the 2015 Nigeria National Water and Sanitation Survey to identify the extent and timing of the failure of water schemes in the country and the factors affecting it. Around 46 percent of all the water schemes in Nigeria are nonfunctional, and approximately 30 percent are likely to fail in the first year. The results indicate that during the first year of operation, factors that can be controlled in the design, implementation, and operational stages contribute to the failure of 61 percent of the water schemes. As water schemes age, their likelihood of failure is best predicted by factors that cannot be modified. The influence of operational factors, such as repairs and maintenance, decreases slightly over time.