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This report presents the results of a collaboration between FAO and the Oxford Poverty and Human Development Initiative (OPHI), at the University of Oxford. The first part of the report proposes a framework for measuring multidimensional poverty in rural areas and describes the motivation for the Rural Multidimensional Poverty Index (R-MPI) proposal, which departs from the established global Multidimensional Poverty Index (global MPI), first designed in 2010 as an international measure of acute poverty covering over 100 developing countries by adding modifications in the dimensions and embedded indicators. The second part of this report presents an empirical test of the proposed R-MPI, using data from four household surveys conducted in Ethiopia, Malawi, the Niger, and Nigeria which are harmonized within the Rural Livelihoods Information System (RuLIS).
Poverty is a paradoxical state. Recognizable in the eld for any sensitive observer who travels in remote rural areas and urban slums and meets marginalized people in a given society, poverty still remains a challenge to conceptual formalization and to measurement that is consistent with such formalization. The analysis of poverty is multidisciplinary. It goes from ethics to economics, from political science to human biology, and any type of measurement rests on mathematics. Moreover, poverty is multifaceted according to the types of deprivation, and it is also gender and age speci c. A vector of variables is required, which raises a substantial problem for individual and group comparisons necessary to equity analysis. Multidimension- ity also complicates the aggregation necessary to perform the ef ciency analysis of policies. In the case of income poverty, these two problems, equity and ef ciency, have bene ted from very signi cant progress in the eld of economics. Similar achievements are still to come in the area of multidimensional poverty. Within this general background, this book has a very modest and narrow-scoped objective. It proposes an operational methodology for measuring multidimensional poverty, independent from the conceptual origin, the size and the qualitative as well as the quantitative nature of the primary indicators used to describe the poverty of an individual, a household or a sociodemographic entity.
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.
This impressive collection brings together the most important contributions by some of the leading scholars in the field of poverty measurement. It includes critical papers on what constitutes poverty and associated poverty measures, as well as conceptual and empirical approaches to set poverty lines for both national and international settings. The volume also discusses national and international income poverty measures, multidimensional poverty indices, and ways to capture poverty dynamics. With an original introduction by the editor, this collection will be an essential resource for scholars and students of development economics and social policy.
Reducing rural poverty is a key objective of FAO. To achieve this goal, the Organization must reach the poor and the extremely poor in rural areas, analysing their needs and aspirations and providing effective guidance for the design of policies and investments that foster inclusive and sustainable development. This guide was developed to strengthen the Organization’s work on rural poverty reduction and inclusivity over the coming years. It provides key information to measure poverty, characterize rural populations, and identify their constraints to target them more accurately. The guide includes five chapters. Chapter 1 explains the structure, content, and use of the guide, as well as its intended users and objectives. Chapter 2 discusses how poverty is measured, focusing on the different indicators that can be used, depending on the context, specific circumstances, data availability and policy objectives. Chapter 3 provides guidance on how to build a poverty profile and produce poverty maps to understand who the poor are and where they are located. Chapter 4 focuses on the targeting process, on various targeting techniques and on how to choose one over another to ensure that programmes and projects effectively combat poverty, particularly in rural areas. Finally, Chapter 5 sets the next steps for the development of further analytical guides. The various chapters provide an overview of both widely used and emerging techniques in poverty analysis, focusing on quantitative methods, and giving constant attention to FAO’s areas of work and the challenges posed by operating in rural areas.
This book is Open Access under a CC BY license. This volume offers an essential resource for economic policymakers as well as students of development economics focusing on the interrelationships of migration, urbanization and poverty in Asia. The continent’s recent demographic transitions and rural-urban structural transformations are extraordinary, and involve complexities that require in-depth study. The chapters within this volume examine those complexities using a range of traditional and non-traditional measures, such as multidimensional poverty, gaps and polarization, to arrive at the conclusion that poverty is now an urban issue. In short, the book will help students of development economics and policymakers understand the interrelationships between internal migration, urbanization and poverty, paving the way for the improved management of internal migration and disadvantaged and vulnerable populations.
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.
More than a decade has passed since the publication of the series entitled Social Analysis of Agriculture and Rural Investment Projects, which comprises three complementary manuals – the Manager’s, Practitioner’s and Field guides. During this time, conflict, climate change and economic downturns have been driving up poverty, hunger, and socioeconomic inequalities, reducing the resilience of agrifood systems. In response, the FAO Investment Centre has updated the Social Analysis guides to address the evolving and volatile rural transformation context, providing programme managers, practitioners and field workers with a set of enhanced tools for the design, implementation and evaluation of inclusive investments in agrifood systems. Today’s investments must prioritize more demand-driven, people-centred, culturally sensitive and locally owned sustainable approaches, with increased attention to reducing gender and other inequalities. Operationalizing these principles contributes to FAO’s and financing agencies’ objectives of ending poverty, improving food security and nutrition, and reducing inequalities. The goal of the updated guides is to support investments that contribute to inclusive, resilient and sustainable agrifood systems, aligned with the outcomes of the UN Food Systems Summit, the Sustainable Development Goals (SDGs), and the core principle of leaving no one behind. This publication is part of the Investment Toolkits series under the FAO Investment Centre's Knowledge for Investment (K4I) series. The contents of this publication have been turned into three e-leaning courses, which are accessible for free through the FAO E-learning Academy.
Multidimensional approaches have increasingly been used to understand poverty, but have yet to be fully operationalized. This methodical and important book uses factor analysis and structural equations modelling to develop a multidimensional framework that integrates capability and social inclusion as additional poverty indicators. The empirical relevance of this methodological contribution is demonstrated through in-depth case studies of the United States and Nepal.
"While the incidence of extreme poverty in China fell dramatically over 1980-2001, progress was uneven over time and across provinces. Rural areas accounted for the bulk of the gains to the poor, though migration to urban areas helped. The pattern of growth mattered. Rural economic growth was far more important to national poverty reduction than urban economic growth. Agriculture played a far more important role than the secondary or tertiary sources of GDP. Rising inequality within the rural sector greatly slowed poverty reduction. Provinces starting with relatively high inequality saw slower progress against poverty, due both to lower growth and a lower growth elasticity of poverty reduction. Taxation of farmers and inflation hurt the poor. External trade had little short-term impact. This paper a product of the Poverty Team, Development Research Group is part of a larger effort in the group to understand the causes of country success in poverty reduction"--World Bank web site.