Gender Conundrum and Unpaid 
Work in India: Empirical Evidence 
from India’s First Large-scale Time 
Use Survey

Dakrushi Sahu
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引用次数: 1

Abstract

The study was aimed at (a) exploring the anomalies in conceptualising and measuring work, especially that of the women, (b) analysing the patterns of unpaid work distribution between men and women, and (c) examining the drivers of time spent on unpaid work in India. It has been argued that the under-conceptualisation of work and the methodological constraints led to invisibilising several activities, mostly performed by girls and women, in the prevailing labour force statistics and national income accountings. We have noted that such anomalies could be overcome with the advancement of robust statistical tools like that of time use survey. By employing the first and the most recent pan time use survey, conducted by the National Sample Survey Organization across the country in 2019, we have assessed the gender patterns of unpaid work and its determinants. We found the existence of a stark gender gap both in terms of participation and average time spent on unpaid work across rural and urban regions. Again, the findings, obtained through the Tobit regression model, reveal that the nature of the association and the extent of time allocated to unpaid work vary substantially across the demographic and socio-economic characteristics. JEL Codes: J22, J21, J40, J46, C10
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印度的性别难题和无偿工作:来自印度首次大规模时间使用调查的经验证据
这项研究的目的是:(a) 探讨工作,特别是妇女工作的概念化和计量方面的异常现象;(b) 分析男女之间无偿工作的分配模式;(c) 研究印度无偿工作时间的驱动因素。有观点认为,由于对工作的概念认识不足和方法上的限制,导致在现行的劳动力统计和国民收入核算中,一些主要由女孩和妇女从事的活动被忽略。我们注意到,随着时间使用调查等有力统计工具的发展,这些异常现象是可以克服的。通过利用国家抽样调查组织 2019 年在全国范围内开展的首次也是最新的泛时间使用调查,我们对无偿工作的性别模式及其决定因素进行了评估。我们发现,在参与无偿工作和平均无偿工作时间方面,城乡地区存在明显的性别差距。同样,通过 Tobit 回归模型得出的结果表明,不同人口和社会经济特征之间的关联性质以及分配给无偿工作的时间范围存在很大差异。JEL Codes:J22, J21, J40, J46, C10
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