Understanding changes in poverty
著者
書誌事項
Understanding changes in poverty
(Directions in development, . Poverty)
World Bank, c2014
- : paper
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注記
Other authors: João Pedro Azevedo, B. Essama-Nssah, Sergio Olivieri, Trang Van Nguyen, Jaime Saavedra-Chanduvi, and Hernan Winkler
Includes bibliographical references
内容説明・目次
内容説明
The 2015 Millennium Development Goal to reduce by 50% the share of the world's population living in extreme poverty was met early. The number of individuals in developing countries who live in extreme poverty had decreased from 43 percent in 1990 to 21% by 2010. Yet, with 1.2 billion people still struggling today, we have a long way to go. What can we learn from the recent success of reducing extreme poverty? 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 labour income growth - that is, growth in income per worker rather than an increase in the number of employed workers - was 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 labour income grew mainly because of higher returns to human capital endowments, signaling increases in productivity, higher relative price of labour, 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.
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