Juxtaposing Consumption Poverty and Multidimensional Poverty: A Study in Indian Context

Abstract

The present study explores the nature of poverty by considering both consumption and multidimensional approaches and assesses the change in it due to variation in population subgroups and household characteristics in India between 2004-2005 and 2011-2012. We have developed a Multidimensional Poverty Index for India which has the advantage of being comparable with consumption poverty using National Sample Survey Organization data relating to the 'Level and Pattern of Consumer Expenditure' of the latest two rounds. Our analysis shows a significant reduction in consumption poverty as well as multidimensional poverty. Multidimensional poverty has reduced significantly for both consumption poor and non-poor but the reduction has not been uniform across subgroups and household characteristics. Satisfactorily, the reduction was faster among the poorer subgroups. Notwithstanding this trend, urban location, upper strata of social caste, literate head, self-or regular employment and higher level of benefits from Public Distribution System (PDS) have a favorable impact on the nature of poverty. The study strongly recommends the incorporation of the multidimensional approach along with the consumption approach to measure poverty which has high policy relevance.

Spatial analysis and modelling for primary healthcare site selection in Midnapore town, West Bengal

“…Multidimensional Poverty Indices typically uses microdata from household surveys and their unit of analysis to identify multiple deprivations at the individual level in health, education and standard of living etc. (Alkire et al, 2015 ; Cavapozzi et al, 2015 ; Das et al, 2020 ; Ravallion, 2011 ). A household is deprived if they fail to satisfy a given ' poverty cut off 'determined by weighted deprivation score i.e.…”

“…If the household deprivation score goes beyond a given threshold (e.g. 1/3) then a household is considered to be 'multiple deprived', or simply 'poor' (Alkire et al, 2015 ; Das et al, 2020 ).…”

“…The average number of multidimensionally poor households (A) indicates the intensity of the multidimensionally poor condition. Finally, Multidimensional Poverty Index (MPI) designed (Alkire et al, 2015 ; Das et al, 2020 ) as …”

Fuzzy Measures of Monetary and Non-monetary Deprivations in Tunisia

“…Tauseef (2020) demonstrated the importance of non-monetary deprivations in the evaluation of well-being and happiness. For this reason, Das et al (2021) recommended the incorporation of the multidimensional approach with the monetary approach given its great relevance.…”

An Empirical Study of Multidimensional Poverty and Influencing Factors in Western China

“…Samy Katumba et al [2] measured the multidimensional poverty index of South Africa. Pinaki Das et al [3] constructed and measured India's multidimensional poverty index. Dagunga Gilbert et al [4] believe that diversification of livelihoods can significantly reduce household poverty.…”