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Dynamics of Poverty in Rural Bangladesh

  • Book
  • © 2013

Overview

  • Presents statistical analyses based on panel data collected from 1,212 rural households in 2004 and 2009 in Bangladesh
  • Mobility and dynamics of poverty status, occupation, income class, and landholding are analyzed, together with other socioeconomic indicators
  • A useful resource for understanding, explaining, and planning and implementing effective poverty alleviation policies in developing countries

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Table of contents (17 chapters)

  1. Poverty Dynamics and Development

  2. Demography, Mobility, and Income

  3. Food and Livelihood

  4. Human & Social Capital, Health, and Women Empowerment

  5. Vulnerability and Poverty

Keywords

About this book

The study of poverty dynamics is important for effective poverty alleviation policies because the changes in income poverty are also accompanied by changes in socioeconomic factors such as literacy, gender parity in school, health care, infant mortality, and asset holdings. In order to examine the dynamics of poverty, information from 1,212 households in 32 rural villages in Bangladesh was collected in December 2004 and December 2009. This book reports the analytical results from quantitative and qualitative surveys from the same households at two points of time, which yielded the panel data for understanding the changes in situations of poverty.

Efforts have been made to include the most recent research from diverse disciplines including economics, statistics, anthropology, education, health care, and vulnerability study. Specifically, findings from logistic regression analysis, polychoric principal component analysis, kernel density function, income mobility with the help of the Markov chain model, and child nutrition status from anthropometric measures have been presented.

Asset holdings and liabilities of the chronically poor as well as those of three other economic groups (the descending non-poor, the ascending poor, and the non-poor) are analyzed statistically. The degrees of vulnerability to poverty are examined by years of schooling, landholding size, gender of household head, social capital, and occupation. The multiple logistic regression model was used to identify important risk factors for a household’s vulnerability.

In 2009, some of the basic characteristics of the chronically poor were: higher percentage and number of female-headed households, higher dependency ratio, lower levels of education, fewer years of schooling, and limited employment. There was a low degree of mobility of households from one poverty status to another in the  period 2004-2009, implying that the process of economic development and high economicgrowth in the macroeconomy during this time failed to improve the poverty situation in rural Bangladesh.

Authors and Affiliations

  • , ISRT, University of Dhaka, Dhaka, Bangladesh

    Pk. Md. Motiur Rahman

  • , Faculty of Economics, Teikyo University, Hachioji, Japan

    Noriatsu Matsui

  • , Institute for Advanced Studies on Asia, The University of Tokyo, Bunkyo-ku, Japan

    Yukio Ikemoto

About the authors

Pk. Md. Motiur Rahman
Professor
Institute of Statistical Research and Training University of Dhaka

Noriatsu Matsui
Professor
Teikyo University

Yukio Ikemoto
Professor
Institute for Advanced Studies on Asia
The University of Tokyo

Bibliographic Information

  • Book Title: Dynamics of Poverty in Rural Bangladesh

  • Authors: Pk. Md. Motiur Rahman, Noriatsu Matsui, Yukio Ikemoto

  • DOI: https://doi.org/10.1007/978-4-431-54285-8

  • Publisher: Springer Tokyo

  • eBook Packages: Business and Economics, Economics and Finance (R0)

  • Copyright Information: Springer Japan 2013

  • Hardcover ISBN: 978-4-431-54284-1Published: 03 February 2013

  • Softcover ISBN: 978-4-431-54694-8Published: 08 February 2015

  • eBook ISBN: 978-4-431-54285-8Published: 03 February 2013

  • Edition Number: 1

  • Number of Pages: XII, 262

  • Number of Illustrations: 48 b/w illustrations, 15 illustrations in colour

  • Topics: Development Economics, Public Economics, Statistics for Social Sciences, Humanities, Law

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