EconStor >
United Nations University (UNU) >
World Institute for Development Economics Research (UNU-WIDER), United Nations University >
WIDER Research Papers, United Nations University (UNU) >

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10419/63315
  
Title:Decomposing spatial differences in poverty in India PDF Logo
Authors:Dhongde, Shatakshee
Issue Date:2004
Series/Report no.:Research Paper, UNU-WIDER, United Nations University (UNU) 2004/53
Abstract:Over the last decade, India has been one of the fastest growing economies, and has experienced considerable decline in overall income poverty. However, in a vast country like India, poverty levels vary significantly across the different states. In this paper, we analyze the differences between poverty at the state and national level, separately for the rural and urban sector, in the year 1999-2000. Instead of following the usual practice of decomposing the changes in poverty over time, we decompose the changes in poverty across regions. Such decomposition reveals that differences in state and national poverty levels were largely explained by differences in the state and national mean income levels. Differences in the state and national distributions of income were less important in explaining spatial differences in poverty. An important policy implication of our results is that states with extremely high levels of poverty would have reduced poverty significantly by raising their mean income levels to the national mean income, instead of changing their distribution of income to match the national income distribution. – growth ; income distribution ; poverty ; decomposition ; India
JEL:O40
R12
I32
O53
ISBN:9291906425
Document Type:Working Paper
Appears in Collections:WIDER Research Papers, United Nations University (UNU)

Files in This Item:
File Description SizeFormat
477325734.pdf109.53 kBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:http://hdl.handle.net/10419/63315

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.