Analysing Spatio-Temporal Dimension of Urban Poverty in India

Indian Research Journal of Social Sciences, Vol. 29 No. 1, December 2015

7 Pages Posted: 14 Apr 2016

See all articles by Darshan Jha

Darshan Jha

Banaras Hindu University (BHU)

V. Tripathi

Banaras Hindu University (BHU)

Date Written: March 31, 2016

Abstract

The urban transition of India is not simply a shift of demographics but it places cities and towns at the centre of India's development trajectory. With India becoming increasingly globalized and urban, there is also an increase in the number of poor people living here. The prime objective of this paper is to analyze the trend and spatial pattern of urban poverty in India. Discussion starts with urbanization process and its trend in India followed by definition and measurement of urban poverty, trend of urban poverty and its spatial pattern and presents a comprehensive view of spatiotemporal dimension of urban poverty in India. The spatial pattern reveals a relationship between development and urban poverty, i.e, developed states have less percentage of urban poor and vice-versa. The relationship between urbanisation i.e, percentage of urban population to total population and percentage of urban poverty also reveals an interesting result that more urbanized states have less share of urban poverty and vice-versa. The paper also identifies future research scope to identify micro level trend and spatial pattern.

Keywords: urban poverty, spatio-temporal dimension, urbanisation, india

Suggested Citation

Jha, Darshan and Tripathi, V., Analysing Spatio-Temporal Dimension of Urban Poverty in India (March 31, 2016). Indian Research Journal of Social Sciences, Vol. 29 No. 1, December 2015. Available at SSRN: https://ssrn.com/abstract=2763775

Darshan Jha (Contact Author)

Banaras Hindu University (BHU) ( email )

Varanasi
Uttar Pradesh
Varanasi, Uttar Pradesh 221005
India
9455210319 (Phone)

V. Tripathi

Banaras Hindu University (BHU) ( email )

Varanasi
Uttar Pradesh
Varanasi, Uttar Pradesh 221005
India

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