October 30, 2022 | Working Paper
  • Headline: Time Use Data for Exploring Gender and Class in Rural India
  • Intro Text: The literature on agrarian change in India collapses women’s class relations into those of male household heads. Sirisha Naidu and Smriti Rao examine how the 2019 Indian Time Use survey could lend itself to better understand class relations by accommodating an expanded conception of work as including reproductive labor; accounting for the diversified livelihoods of rural Indians; and more accurately grasping caste and gender distinctions in differentiated labor processes with capital. Within this framework, Naidu and Rao explore methods for deepening feminist political economy analyses of agrarian change.
  • Type of publication: Working Paper
  • Research or In The Media: Research
  • Research Area: Asian Political Economy
  • Publication Date: 2022-10-30
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  • Authors:
    • Add Authors: Sirisha C. Naidu
    • Add Authors: Smriti Rao
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Time Use Data in Feminist Political Economy Analyses: Gender and Class in the Indian Time Use Survey

Abstract

The literature on agrarian change in India has largely employed class categories based upon data on land, assets and occupational status. Land and asset data tend to exist at the level of households, while occupation categories have neither fully counted reproductive labour nor accounted for diversified livelihood strategies. As a result, categorizations of class in the literature on agrarian change tend to collapse women’s class relations into those of male household heads. The recent completion of India’s first ever national time use survey provides an opportunity to address these longstanding gaps. This paper examines whether and how the 2019 Indian Time Use data lends itself to an understanding of class relations that i) can better accommodate an expanded conception of work as including reproductive labor ii) better accommodate the highly diversified livelihoods of rural Indians iii) better grasp the articulation of caste and gender differentiated labor processes with capital. In this paper, we are able to show i) and ii). The third goal is somewhat stymied by the absence of qualitative data that contextualize time use data. We compare the class relational mapping obtained from time use data with that obtained from land and occupational data and examine the possibilities and limits of employing time use data to deepen feminist political economy analyses of agrarian change.

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