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Multidimensional Poverty Measurement: Theory and Methodology de Xiaolin Wang

Multidimensional Poverty Measurement: Theory and Methodology: International Research on Poverty Reduction

Autor Xiaolin Wang
en Limba Engleză Paperback – 22 mai 2023
​This book addresses and compensates for the lack of poverty measurement research in China. With regard to the multi-dimensional measurement of poverty, it is clear that the situation of Chinese farmers is problematic in terms of five major aspects: sanitation facilities, health insurance, durable consumer goods, productive assets and modern fuels. 
Based on these criteria, the book provides a clear direction for policy intervention to comprehensively improve farmers’ standard of living and tackle the key problems of poverty alleviation and development in the region. In addition, its analysis of poverty among ethnic minorities, the elderly and children offers valuable reference material for poverty alleviation and the development of special groups.
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Specificații

ISBN-13: 9789811911910
ISBN-10: 9811911916
Ilustrații: XXIX, 257 p. 42 illus., 5 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2022
Editura: Springer Nature Singapore
Colecția Springer
Seria International Research on Poverty Reduction

Locul publicării:Singapore, Singapore

Cuprins

The evolution of thinking about poverty concept.- Poverty principle and the poverty in the world.- Dynamic change measurement of income poverty of China.- Poverty measurement: case of the Aba Tibetan Autonomous Prefecture.- Multidimensional poverty measurement of China.- On relationship between income poverty and multidimensional poverty in China.- Subjective well-being and relative poverty in China.- Subjective well-being and relative poverty of the elderly people in China.- Multidimensional poverty of migrant women.- Child multidimensional poverty descriptive statistics analysis in China.- Child multidimensional poverty AF analysis in China.- Pro-poor measurement of China’s economic growth.- Inclusiveness measurement of China’s economic growth.

Notă biografică

Dr WANG Xiaolin, Deputy Dean and Professor of the Institute for Six-Sector Economy, Fudan University, member of the Expert Advisory Committee of the Leading Group on Poverty Alleviation and Development of the State Council, P. R. China. His main research areas including: innovation and international development, poverty governance and measurement, public service, industry convergence and the digital economy. He has served as Deputy Director-General of the Information Center of the State Council Leading Group Office of Poverty Alleviation and Development, China. He has also served as a consultant to international organizations such as the World Bank, the Asian Development Bank, WFP, UNOSSC, UNESCAP and UNICEF, and the coordinator of the China-OECD/DAC Study Group, Steering Committee member of Multidimensional Poverty Peer Network (MPPN).

Textul de pe ultima copertă

This book addresses and compensates for the lack of poverty measurement research in China. With regard to the multi-dimensional measurement of poverty, it is clear that the situation of Chinese farmers is problematic in terms of five major aspects: sanitation facilities, health insurance, durable consumer goods, productive assets and modern fuels. 
Based on these criteria, the book provides a clear direction for policy intervention to comprehensively improve farmers’ standard of living and tackle the key problems of poverty alleviation and development in the region. In addition, its analysis of poverty among ethnic minorities, the elderly and children offers valuable reference material for poverty alleviation and the development of special groups.

Caracteristici

Provides extensive household data, and assesses the poverty situation in China using multi-dimensional measurement Provides a comprehensive comparison between the nature, distribution and causes of poverty in urban and rural areas Proposes an advanced method for multidimensional poverty analysis, incorporating a range of dimensions and metrics