ISSN (Print) - 0012-9976 | ISSN (Online) - 2349-8846

Principal Component AnalysisSubscribe to Principal Component Analysis

Multidimensional Deprivation in Rural India

The paper investigates the spatial pattern of multidimensional deprivation in rural areas by developing a multidimensional deprivation index and examining its relationships with the poverty ratio and per capita income across the states in India. The analysis reveals that the states located in the central part of the country suffer a greater degree of deprivation. It further demonstrates that, with some exceptions, the MDI has a strong and positive correlation with the poverty ratio while it is inversely related with the per capita income in most of the states. The findings, therefore, draw attention towards the need for targeted spatial interventions, within the social sector policies, to overcome the persistent regional disparities at the subnational level.

Empowerment: A Myth for Informal Workers - A Study of Female Domestic Workers of South 24 Parganas, West Bengal

This paper considers a few indicators and uses the principal component analysis to explain the unknown indicators in assessing empowerment of 334 female domestic workers in South 24 Parganas district in West Bengal. Household autonomy, social interaction, economic decision, activity domain and protest against domestic violence are the principal components that have a positive and significant effect on empowerment. Fair wages and access to financial support and reasonable health facilities can be a great key to improving the physical and mental well-being of domestic workers.
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