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Poverty and Development in China
Alternative Approaches to Poverty Assessment




ISBN 9780415618229
Published September 12, 2011 by Routledge
304 Pages

 
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Book Description

China has made huge economic strides in recent decades but poverty is still a major issue on the agenda for rural China. Poverty and Development in China analyses how poverty is recognized and measured and how people in poverty are identified, literally asking: who is poor in China? Lu Caizhen’s research compares four approaches to poverty assessment: China’s official poverty identification method, the participatory approach to poverty assessment, the monetary approach, and use of multidimensional poverty indicators. Each of these is applied to the same population of households to identify the poor in rural Wuding County, Yunnan Province.

The analysis shows that there is in fact very little overlap of households identified as poor by the various means, and that choice of approach does matter in the outcome of who is identified as poor. This has implications at the theoretical, methodological, and policy levels. Lu discusses these in detail, concluding that at present, there is a need to shift away from poverty reduction strategies that narrowly emphasize income generation activities, as these are often short-term efforts. Instead, the focus should move towards a broader combination of short-term and long-term strategies to break poverty’s inter-linked structural causes.

Table of Contents

1. Introduction  2. Poverty in China: Macro Perspective  3. Economy, Society and Deprivation in Yunnan  4. The Offical Poverty Identification Method: 'You Are the Poor'  5. Monetary Poverty Approach: 'They Are the Poor'  6. Participatory Poverty Assessment: 'We Are the Poor'  7. The Multidimensional Poverty Indicators: 'Who Are the Poor'  8. Conclusions and the Policy Implications of Choice of Approach from the Multiple Identifications

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Author(s)

Biography

Caizhen Lu is a Researcher at the World Agroforestry Center at the Chinese Academy of Sciences, China.