Explore the vast range of titles available.

Counting the world's poor: problems and possible solutions; by Angus Deaton. Comments on \"counting the world's poor\"; by Martin Ravallion, and T. N. Srinivasan. Ecology, history, and development : a perspective from rural Southeast Asia; by Yujiro Hayami. Productivity growth and sustainability in post-green revolution agriculture: the case of the Indian and Pakistan Punjab; by Rinku Murgai, Mubarik Ali, and Derek Byerlee. The politics of Russian enterprise reform: insiders, local governments, and the obstacles to restructuring; by Raj M. Desai and Itzhak Goldberg.

This study documents the effects of the 2008–09 global financial crisis on poverty in Latin America and the Caribbean (LAC). In doing so, it describes and decomposes the effects of the crisis on poverty using data from comparable household budget surveys for Argentina, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, Ecuador, El Salvador, Mexico, Paraguay, Peru, and Uruguay, and labor force surveys for Argentina, Brazil, Chile, Colombia, Ecuador, Mexico, Peru, and Uruguay. The study also provides macro-micro modeling of crisis and no-crisis scenarios for Mexico and Brazil, as well as the big picture and program-specific details of the social protection policy responses for these countries and more. Among the findings are the following. First, the effects of the global financial crisis on those living in poverty were not trivial: more than 3 million people fell into or remained mired in poverty in 2009 as a result of the crisis. Of these, 2.5 million were Mexican. Second, the changes in poverty were driven by changes in labor incomes caused by a variable combination of changes in employment rates and real wages. Third, the macro-micro modeling revealed different adjustment mechanisms but similar final incidence results for Brazil and Mexico. The results were regressive overall, with the middle of the income distribution hit even a bit more than the poor. According to the descriptive results from the larger set of countries, changes in inequality accounted for a tenth to a third of changes in poverty. Fourth, countries were quite active in their social protection policy responses, largely taking advantage of programs built in precrisis years. Social transfers partially offset the lower labor earnings of the poor, although income protection for the unemployed was weak. Finally, overall the policy messages are that good policy helps attenuate the links between a global crisis and poverty in the LAC countries, and many of the important things need to be done ex ante such as dealing with the macro fundamentals and building social protection programs.

Understanding Changes in Poverty brings together different methods to decompose the contributions to poverty reduction. A simple approach quantifies the contribution of changes in demographics, employment, earnings, public transfers, and remittances to poverty reduction. A more complex approach quantifies the contributions to poverty reduction from changes in individual and household characteristics, including changes in the sectoral, occupational, and educational structure of the workforce, as well as changes in the returns to individual and household characteristics. Understanding Changes in Poverty implements these approaches and finds that labor income growththat is, growth in income per worker rather than an increase in the number of employed workerswas the largest contributor to moderate poverty reduction in 21 countries experiencing substantial reductions in poverty over the past decade. Changes in demographics, public transfers, and remittances helped, but made relatively smaller contributions to poverty reduction. Further decompositions in three countries find that labor income grew mainly because of higher returns to human capital endowments, signaling increases in productivity, higher relative price of labor, or both. Understanding Changes in Poverty will be of particular relevance to development practitioners interested in better understanding distributional changes over time. The methods and tools presented in this book can also be applied to better understand changes in inequality or any other distributional change.

Economists have long sought to predict how macroeconomic shocks will affect individual welfare. Macroeconomic data and forecasts are easily available when crises strike. But policy action requires not only understanding the magnitude of a macro shock, but also identifying which households or individuals are being hurt by (or benefit from) the crisis. Moreover, in many cases, impacts on the ground might be already occurring as macro developments become known, while micro level evidence is still unavailable because of paucity of data. Because of these reasons, a comprehensive real-time understanding of how the aggregate changes will translate to impacts at the micro level remains elusive. This problem is particularly acute when dealing with developing countries where household data is sporadic or out of date. This volume outlines a more comprehensive approach to the problem, showcasing a micro simulation model, developed in response to demand from World Bank staff working in countries and country governments in the wake of the global financial crisis of 2008-09. During the growing catastrophe in a few industrialized countries, there was rising concern about how the crisis would affect the developing world and how to respond to it through public policies. World Bank staff s was scrambling to help countries design such policies; this in turn required information on which groups of the population, sectors and regions the crisis would likely affect and to what extent. The volume is organized as follows. Chapter 1 summarizes the methodology underlying the micro simulation model to predict distributional impacts of the crisis, along with several case studies that highlight how the model can be used in different country contexts. Chapters 2 to 4 are written by experts external to the Bank, two of whom participated as discussants at a workshop on the micro simulation work organized in May, 2010 at the World Bank headquarters. Chapter 2 comments on the broader implications and shortcomings of applying the technique described in Chapter 1 and the ability or willingness of governments to respond adequately to its results. Chapter 3 draws parallels between the United States and developing countries to discuss the lessons that can be learned for mitigating the impacts of future crises. Chapter 4 discusses how the micro simulation approach can be sharpened to make it a better tool for distributional analysis moving forward.

Broad-based growth is critical for accelerating poverty reduction. But income inequality also affects the pace at which growth translates into gains for the poor. Despite the attention researchers have given to the relative roles of growth and inqequality in reducing poverty, little is known about how the microunderpinnings of growth strategies affect poor households' ability to participate in and profit from growth. Delivering on the Promise of Pro-Poor Growth contributes to the debate on how to accelerate poverty reduction by providing insights from eight countries that have been relatively successful in delivering pro-poor growth: Bangladesh, Brazil, Ghana, India, Indonesia, Tunisia, Uganda, and Vietnam. It integrates growth analytics with the microanalysis of household data to determine how country policies and conditions interact to reduce poverty and to spread the benefits of growth across different income groups. This title is a useful resource for policy makers, donor agencies, academics, think tanks, and government officials seeking a practical framework to improve country level diagnostics of growth-poverty linkages.

A new data set on national poverty lines is combined with new price data and almost 700 household surveys to estimate absolute poverty measures for the developing world. We find that 25% of the population lived in poverty in 2005, as judged by what “poverty” typically means in the world's poorest countries. This is higher than past estimates. Substantial overall progress is still indicated—the corresponding poverty rate was 52% in 1981—but progress was very uneven across regions. The trends over time and regional profile are robust to various changes in methodology, though precise counts are more sensitive.

This book reviews the experience of the MENA region with poverty and human development since the mid-1980s. It finds that poverty rates did not decline by much during this period while health and education indicators improved substantially. The stagnation of poverty rates is ascribed to the stagnation of the region?s economies during this period while the improvement in human indicators is likely due to several factors including improvement in the delivery of public health and education services.

Average living standards are converging among developing countries and faster growing economies see more progress against poverty. Yet we do not find poverty convergence; countries starting with higher poverty rates do not see higher proportionate rates of poverty reduction. The paper tries to explain why. Analysis of a new dataset suggests that, at given mean consumption, high initial poverty has an adverse effect on consumption growth and also makes growth less poverty-reducing. Thus, for many poor countries, the growth advantage of starting out with a low mean is lost due to a high incidence of poverty. JEL: D63, I31, I32, O15

This report's objective is to develop the evidence base for policy making in relation to poverty reduction. It produces a diagnosis of the broad nature of the poverty problem and its trends in India, focusing on both consumption poverty and human development outcomes. It also includes attention in greater depth to three pathways important to inclusive growth and poverty reduction harnessing the potential of urban growth to stimulate rural-based poverty reduction, rural diversification away from agriculture, and tackling social exclusion. This report shows that urban growth, which has increasingly outpaced growth in rural areas, has helped to reduce poverty for urban residents directly. In addition, evidence appears of a much stronger link from urban economic growth to rural poverty reduction. Stronger links with rural poverty are due to a more integrated economy. Urban areas are a demand hub for rural producers, as well as a source of employment for the rural labor force. They are aiding the transformation of the rural economy out of agriculture. In urban areas, it is small and medium-size towns, rather than large cities, that appear to demonstrate the strongest urban-rural growth links. Urban growth also stimulates rural-urban migration. But although some increase in such migration has occurred over time, migration levels in India remain relatively low compared to other countries.

Nearly 9 million Americans live in extreme-poverty neighborhoods, places that also tend to be racially segregated and dangerous. Yet, the effects on the well-being of residents of moving out of such communities into less distressed areas remain uncertain. Using data from Moving to Opportunity, a unique randomized housing mobility experiment, we found that moving from a high-poverty to lower-poverty neighborhood leads to long-term (10- to 15-year) improvements in adult physical and mental health and subjective well-being, despite not affecting economic self-sufficiency. A 1—standard deviation decline in neighborhood poverty (13 percentage points) increases subjective well-being by an amount equal to the gap in subjective well-being between people whose annual incomes differ by $13,000—a large amount given that the average control group income is $20,000. Subjective well-being is more strongly affected by changes in neighborhood economic disadvantage than racial segregation, which is important because racial segregation has been declining since 1970, but income segregation has been increasing.