Publication: The Impact of Food Inflation on Urban Poverty and Its Monetary Cost : Some Back-of-the-Envelope Calculations
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Date
2008
ISSN
01695150
Published
2008
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This article uses a sample of 72 developing countries to estimate the change in the cost of alleviating urban poverty brought about by the recent increase in food prices. This cost is approximated by the change in the poverty deficit (PD), that is, the variation in financial resources required to eliminate poverty under perfect targeting. The results show that, for most countries, the cost represents less than 0.2% of gross domestic product. However, in the most severely affected, it may exceed 3%. In all countries, the change in the PD is mostly due to the negative real income effect of those households that were poor before the price shock, while the cost attributable to new households falling into poverty is negligible. Thus, in countries where transfer mechanisms with effective targeting already exist, the most cost-effective strategy would be to scale up such programs rather than designing tools to identify the new poor.
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Publication The Impact of Food Inflation on Urban Poverty and Its Monetary Cost : Some Back-of-the-Envelope Calculations(World Bank, Washington, DC, 2008-07)This paper uses a sample of 73 developing countries to estimate the change in the cost of alleviating urban poverty brought about by the recent increase in food prices. This cost is approximated by the change in the poverty deficit, that is, the variation in financial resources required to eliminate poverty under perfect targeting. The results show that, for most countries, the cost represents less than 0.1 percent of gross domestic product. However, in the most severely affected, it may exceed 3 percent. In all countries, the change in the poverty deficit is mostly due to the negative real income effect of those households that were poor before the price shock, while the cost attributable to new households falling into poverty is negligible. Thus, in countries where transfer mechanisms with effective targeting already exist, the most cost-effective strategy would be to scale up such programs rather than designing tools to identify the new poor.Publication Urban Proximity, Agricultural Potential and Rural Non-farm Employment: Evidence from Bangladesh(2009)This paper presents empirical evidence on the relative importance of farm and urban linkages for rural non-farm employment in Bangladesh. The results suggest that people are more likely to be employed in well-paid wage employment and self-employment in the non-farm sector if they are closer to urban centers. Those who are further away from such centers are even less likely to be in well-paying non-farm jobs if they are living in areas with greater agricultural potential. The empirical results highlight the need for improved connectivity of regions with higher agricultural potential to urban centers for non-farm development in Bangladesh.Publication Are There Lasting Impacts of Aid to Poor Areas?(2009)The paper re-visits the site of a large, World Bank-financed, rural development program in China, 10 years after it began and four years after disbursements ended. The program emphasized community participation in multi-sectoral interventions (including farming, animal husbandry, infrastructure and social services). Data were collected on 2000 households in project and non-project areas, spanning 10 years. A double-difference estimator of the program's impact (on top of pre-existing governmental programs) reveals sizeable short-term income gains that were mostly saved. Only small and statistically insignificant gains to mean consumption emerged in the longer-term--though in rough accord with the average gain to permanent income. The use of community-based beneficiary selection greatly reduced the overall impact, given that the educated poor were under-covered. The main results are robust to corrections for various sources of selection bias, including village targeting and interference due to spillover effects generated by the response of local governments to the external aid.Publication The Impact of Migration on Rural Poverty and Inequality : A Case Study in China(2010)Large numbers of agricultural labor moved from the countryside to cities after the economic reforms in China. Migration and remittances play an important role in transforming the structure of rural household income. This article examines the impact of rural-to-urban migration on rural poverty and inequality in a mountainous area of Hubei province using the data of a 2002 household survey. Since migration income is a potential substitute for farm income, we present counterfactual scenarios of what rural income, poverty, and inequality would have been in the absence of migration. Our results show that, by providing alternatives to households with lower marginal labor productivity in agriculture, migration leads to an increase in rural income. In contrast to many studies that suggest that the increasing share of nonfarm income in total income widens inequality, this article offers support for the hypothesis that migration tends to have egalitarian effects on rural income for three reasons: (1) migration is rational self-selection--farmers with higher expected return in agricultural activities and/or in local nonfarm activities choose to remain in the countryside while those with higher expected return in urban nonfarm sectors migrate; (2) households facing binding constraints of land supply are more likely to migrate; (3) poorer households benefit disproportionately from migration.Publication Poverty and Inequality Maps in Rural Vietnam: An Application of Small Area Estimation(2010)The objective of the present paper is to estimate poverty and inequality for rural Vietnam at different levels of aggregation by combining the Vietnam Household Living Standard Survey from 2006 and the Rural Agriculture and Fishery Census from the same year. Using the small area estimation method, estimates at the regional, provincial and district level are produced, and both expenditure and income based measures are considered. It is found that all provinces across the country have experienced a noticeable reduction in rural poverty during the period 1999-2006. Some of the largest reductions in poverty are observed for provinces with poverty rates close to the national average. The poorest provinces are experiencing reductions in poverty, albeit at a more modest pace. Provinces and districts with a larger poverty reduction in the period 1999-2006 tended to have a lower level of inequality in 2006. Results based on expenditure poverty estimates are found to be very similar to those based on income poverty estimates.
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