Download Free Bhutan Multidimensional Poverty Index 2012 Book in PDF and EPUB Free Download. You can read online Bhutan Multidimensional Poverty Index 2012 and write the review.

Multidimensional poverty measurement and analysis is evolving rapidly. Notably, it has informed the publication of the Multidimensional Poverty Index (MPI) estimates in the Human Development Reports of the United Nations Development Programme since 2010, and the release of national poverty measures in Mexico, Colombia, Bhutan, the Philippines and Chile. The academic response has been similarly swift, with related articles published in both theoretical and applied journals. The high and insistent demand for in-depth and precise accounts of multidimensional poverty measurement motivates this book, which is aimed at graduate students in quantitative social sciences, researchers of poverty measurement, and technical staff in governments and international agencies who create multidimensional poverty measures. The book is organized into four elements. The first introduces the framework for multidimensional measurement and provides a lucid overview of a range of multidimensional techniques and the problems each can address. The second part gives a synthetic introduction of 'counting' approaches to multidimensional poverty measurement and provides an in-depth account of the counting multidimensional poverty measurement methodology developed by Alkire and Foster, which is a straightforward extension of the well-known Foster-Greer-Thorbecke poverty measures that had a significant and lasting impact on income poverty measurement. The final two parts deal with the pre-estimation issues such as normative choices and distinctive empirical techniques used in measure design, and the post-estimation issues such as robustness tests, statistical inferences, comparisons over time, and assessments of inequality among the poor.
In 2013, the World Bank Group announced two goals that would guide its operations worldwide. First is the eradication of chronic extreme poverty bringing the number of extremely poor people, defined as those living on less than 1.25 purchasing power parity (PPP)†“adjusted dollars a day, to less than 3 percent of the world’s population by 2030.The second is the boosting of shared prosperity, defined as promoting the growth of per capita real income of the poorest 40 percent of the population in each country. In 2015, United Nations member nations agreed in New York to a set of post-2015 Sustainable Development Goals (SDGs), the first and foremost of which is the eradication of extreme poverty everywhere, in all its forms. Both the language and the spirit of the SDG objective reflect the growing acceptance of the idea that poverty is a multidimensional concept that reflects multiple deprivations in various aspects of well-being. That said, there is much less agreement on the best ways in which those deprivations should be measured, and on whether or how information on them should be aggregated. Monitoring Global Poverty: Report of the Commission on Global Poverty advises the World Bank on the measurement and monitoring of global poverty in two areas: What should be the interpretation of the definition of extreme poverty, set in 2015 in PPP-adjusted dollars a day per person? What choices should the Bank make regarding complementary monetary and nonmonetary poverty measures to be tracked and made available to policy makers? The World Bank plays an important role in shaping the global debate on combating poverty, and the indicators and data that the Bank collates and makes available shape opinion and actual policies in client countries, and, to a certain extent, in all countries. How we answer the above questions can therefore have a major influence on the global economy.
In the second decade of the 21st century, Colombia showed surprising results in the fight against poverty. Monetary poverty dropped, extreme monetary poverty was cut in half, and multidimensional poverty fell. More than five million Colombians overcame poverty. Inequality also decreased significantly. In the middle of an internal armed conflict and peace negotiations, Colombia became a poverty reduction success story. All of this happened under the leadership of President Juan Manuel Santos (2010-2018). How was this accomplished? In this important book, based on his experience and with data and statistics, former President Santos explains how this battle against poverty was waged and describes the tools, programs, and policies that produced these results. In particular, he emphasizes the importance of Colombia's globally pioneering adoption of the Multidimensional Poverty Index (MPI), calculated according to the Alkire-Foster method and developed at the Oxford Poverty and Human Development Initiative (OPHI). The MPI, inspired by the work of Professor Amartya Sen, has been used in Colombia not only as a poverty measure but also as an instrument to guide social policy. The Colombian approach to poverty offers lessons, clearly explained in this book, to other nations, academics, and decision-makers. The Colombian experience demonstrates that, with political leadership and reliable poverty measurement, it is possible to make progress toward social equality.
This paper analyses poverty reduction in Bhutan between two points in time -- 2003 and 2007 -- from a multidimensional perspective. The measures estimated include consumption expenditure as well as other indicators which are directly (when possible) or indirectly associated to valuable functionings, namely, health, education, access to electricity, safe water, improved sanitation, enough room per person in dwelling, access to roads and land ownership. Interestingly, most of these indicators have been identified as sources of happiness in the 2007 Gross National Happiness Survey. Twelve different measures are estimated with a variety of values for the different parameters involved for robustness analysis. Also, estimates are bootstrapped creating 95% confidence intervals. We find that over the study period there was an unambiguous reduction in multidimensional poverty regardless of the indicators' weights, deprivation cutoffs and identification criterion of the poor. This reduction was mainly led by a reduction in the proportion of the poor which was accompanied by a reduction in the intensity of poverty among those who were less intensively poor, although not among those who were more intensively poor. Rather than accomplishing this poverty reduction by improving achievements in one or two indicators, there were significant reductions in several deprivations, especially in access to roads, electricity, water, sanitation, and education. We also find that when income alone is used to target the poor, inclusion errors are marginal but exclusion errors are sizeable. Despite Bhutan's significant progress, challenges remain as poverty is still high in rural areas. A multidimensional measure in the lines proposed in this paper can prove useful for monitoring poverty reduction, prioritizing groups and evaluating upon investment.