Page 167 - 5th APA Conference Program Book Final

and teachers is much better than government schools.

1094 A Comparative Study among the Five States in India With Highest Child
Workers

Shalini Sen

International Institute for Population Sciences, Mumbai, India

Categories

5. Population Mobility (Internal and International Migration, including Refugees) and Urbanization

Abstract

The developing country of India has had a long history of children working to make the ends meet. Working from
an early age instead of going to school to get an education leaves them with no bankable skill for employment
except manual labour. This results in an entire generation of youth to be stuck in the vicious cycle of poverty and
exploitation. This paper studies the condition of Uttar Pradesh, Bihar, Rajasthan, Maharashtra and Madhya Pradesh
according to the Census of India in terms of working children and migrant child workers.

This paper is based on data from the census of India Migration series and PCA files. Uni-variate analysis was done
to to conclude about the status of each state. Bihar and Uttar Pradesh together constitute 20% of India's total child
workers and all the five states together for 55% of the total working children in India. There has been a drastic fall
in the absolute number of child workers in India but the fall is mainly recorded in the rural parts of the states rather
than the urban parts. The urban parts of the states especially Maharashtra shows an increase in the number of
working children.

711 Is Women’s Ownership of Assets Instrumental in Reducing Child Stunting in
India?

Akancha Singh, Aparajita Chattopadhyay

International Institute for Population Sciences, Mumbai, India

Categories

1. Future Challenges of Asian Population Dynamics

Abstract

Women’s asset ownership is an important tool to promote development by empowering women and increasing
productivity. The dearth of research on this aspect, however, mars any attempt to evaluate these claims. This study
utilises the 2015-16 NFHS. A combined variable for asset holding was created by using four variables, ownership
of land, house, mobile phone and bank account. The variable ranked from 0 to 4, with 0 indicating that a woman
has none of the assets and 4 indicating that she owns all four. HAZ scores were used to create Stunting variable.
Binary logistic regression and quantile regression were used to assess the impact of mother’s asset ownership on
child stunting. The children whose mother owns all four assets are 0.9 times less likely to be stunted as compared

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