1,301
Views
1
CrossRef citations to date
0
Altmetric
Articles

Poverty and Inequality in the Matrilineal Society of Meghalaya in the North-Eastern Region of India

&
Pages 117-138 | Published online: 24 Feb 2018
 

Abstract

Poverty, inequality and deprivation between men and women are some of the most crucial disparities in many societies and this is particularly so in India. Poverty status of women in particular has often received wide attention among economists and policy thinkers. Feminisation of poverty has been linked to a perceived rise in the number of female-headed households and this study is no exception in this respect. With the rise in female-headship and their vulnerability to poverty, it is typically expected that female-headed households face a higher risk of being poor vis-à-vis the male-headed households. The state of Meghalaya, in the north-eastern part of India, boasts of a predominant tribal population consisting of three major tribal groups, namely, the Khasis, the Jaintias and the Garos. These tribal groups are some of the few surviving matrilineal communities with one of the strongest matrilineal kinship systems in the world. Poverty in the state of Meghalaya, resides mainly in the rural areas. This paper makes an empirical analysis of the status of poverty and inequality among the female-headed and male-headed households in the matrilineal state of Meghalaya.

This article is part of the following collections:
Women as participants and observers in the international division of labor

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 287.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.