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

A+| A| A-

Multidimensional Poverty in Tripura

An Inter-temporal Analysis

The changes in multidimensional poverty are analysed for the states of the north-eastern region in general, and Tripura in particular, from 2000 to 2015. Special emphasis is laid on the household characteristics in Tripura and the rural–urban, gender, social, and religion subgroups. The value of the multidimensional poverty index fell by 4.6% during the study period and the proportion of the multidimensionally poor by 1.7% per annum. The reduction in the MPI and the incidence of poverty was significantly higher in the rural areas of Tripura considering the social and religious subgroups.

The measurement of poverty based on monetary attributes, such as consumption or income, has been criticised heavily. Critics claim that monetary poverty measures are not sufficient to explain the multifaceted nature of the deprivations of well-being. A realistic poverty measure should contain basic human needs, such as minimum levels of educational attainment, basic attainment of health, and living conditions (Tsui 2002). Poverty is characterised by multidimensional deprivations and is best explained by a multidimensional approach (Bourguignon and Chakravarty 2003). There has been a conceptual revolution in measuring poverty during the past few decades and a focus on developing a more comprehensive multidimensional framework.

Several methodologies have been developed for identifying the multidimensionally poor: counting approaches, multiple correspondence analysis, latent variable techniques, and fuzzy set theory. Researchers have proposed multidimensional poverty measures based on the capability approach with a normative framework. One of them is the Alkire and Foster (2007) methodology based on the counting approach (Atkinson 2003) along with the axiomatic approach following the FosterGreerThorbecke (FGT) class of unidimensional measures. In this approach, the axioms of subgroup decomposability and dimensional breakdown allow for decomposing the aggregate value into population subgroups, such as social and religious groups, to identify the major drivers of poverty (Alkire and Foster 2011). The decomposability of the poverty measure appears to be an important component for the policymakers to frame effective multisectoral planning across states and districts.

Dear Reader,

To continue reading, become a subscriber.

Explore our attractive subscription offers.

Click here


To gain instant access to this article (download).

INR 236

(Readers in India)

$ 12

(Readers outside India)

Published On : 20th Jan, 2024

Support Us

Your Support will ensure EPW’s financial viability and sustainability.

The EPW produces independent and public-spirited scholarship and analyses of contemporary affairs every week. EPW is one of the few publications that keep alive the spirit of intellectual inquiry in the Indian media.

Often described as a publication with a “social conscience,” EPW has never shied away from taking strong editorial positions. Our publication is free from political pressure, or commercial interests. Our editorial independence is our pride.

We rely on your support to continue the endeavour of highlighting the challenges faced by the disadvantaged, writings from the margins, and scholarship on the most pertinent issues that concern contemporary Indian society.

Every contribution is valuable for our future.