Journal Press India^®

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Traditional economic data often overlook the contributions of unremunerated and non-market activities, despite their significant impact on human well-being. Economic planning typically relies on labour force and national income statistics that focus on remunerated activities, overlooking unpaid contributions. Time-use surveys provide a nuanced understanding of how individuals allocate their time across various activities, including unpaid work, offering insights absent in conventional social surveys (MoSPI, 2019). This study evaluates gender indicators in India using NSSO and time-use survey data to identify critical areas of concern for policymakers. It explores the socioeconomic factors underlying gender disparities in employment and labour participation rates and emphasizes the importance of recognizing unpaid work. The study provides actionable recommendations to promote gender equality, aligning with SDG 4 and ILO standards, and fostering inclusive growth through comprehensive policy interventions. This research highlights the vital role of gender-sensitive policies in achieving sustainable development.

Keywords

Time use survey in India; Unpaid work; Participation of labour force; Non-market activities; Human welfare; Gender indicators

1. Altonji, J. G. & Blank, R. M. (1999). Race and gender in the labour market. In O. Ashenfelter & D. Card (Eds.), Handbook of labour economics (Vol. 3, Part C, pp. 3143-3259). Elsevier. Retrieved from https://doi.org/10.1016/S1573-4463(99)30039-0
2. Becker, G. S. (1965). A theory of the allocation of time. The Economic Journal, 75(299), 493–517. Retrieved from https://doi.org/10.2307/2228949
3. Census of India. (2011). Population projections for India and states 2011–2036. Retrieved from https://censusindia.gov.in/
4. Dreze, J. & Sen, A. (1995). India: Economic Development and Social Opportunity.
5. GlobalData. (2023). Literacy rate in India. Retrieved from https://www.globaldata.com /data-insights/macroeconomic/literacy-rate-in-india/
6. Government of India, Ministry of Statistics and Programme Implementation. (2020). Time Use in India 2019: Time Use Survey. National Sample Survey Organisation. Retrieved from http://www.mospi.gov.in
7. Hirway, I. (1999). Time use studies: Conceptual and methodological issues with reference to the Indian time use survey. New Delhi: Ministry of Statistics and Programme Implementation.
8. Indian Express (2020). India set to grow older by 2036, says report amid declining fertility rate, rising life expectancy. Retrieved from https://www.newindianexpress.com/nation /2020/Aug/13/india-set-to-grow-older-by-2036-says-report-amid-declining-fertility-rate-rising-life-expectancy-2182940.html
9. International Labour Organization (ILO). (2022). Gender Equality and Women’s Labour Rights.
10. International Labour Organization. (2025). Women work more, are still paid less. Retrieved from https://www.ilo.org/resource/news/women-work-more-are-still-paid-less
11. Juster, F. T. (1999). Time use data: Analytic framework, descriptive findings, and measurement issues. Paper presented at the Workshop on Measurement of and Research on Time Use, National Academy of Sciences, Washington, DC.
12. Liepmann, K. K. (1944). The journey to work: Its significance for industrial and community life. Oxford University Press.
13. Mammen, K., & Paxson, C. (2000). Women’s work and economic development. Journal of Economic Perspectives, 14(4), 141-164. Retrieved from https://doi.org/10.1257/jep.14. 4.141
14. Mammen, K. & Paxson, C. (2000). Women’s Work and Economic Development: Theoretical Models and Empirical Evidence. Journal of Economic Perspectives.
15. Mearns, R. (1999). Social exclusion and gender inequality in India. IDS Bulletin, 30(4), 95–105. Retrieved from https://doi.org/10.1111/j.1759-5436.1999.mp30004010.x
16. Ministry of Statistics and Programme Implementation (MoSPI). (2023). Education statistics. Government of India.
17. Ministry of Statistics and Programme Implementation (MoSPI). (2020). NSS Report: Time Use in India-2019 (January – December 2019). Government of India.
18. Ministry of Statistics and Programme Implementation. (2018). Women and men in India: A statistical compilation of gender-related indicators in India. 20th Issue.
19. Nikore, M. (2022). Building India’s economy on the backs of women’s unpaid work: A gendered analysis of time-use data. ORF Occasional Paper, (372). Observer Research Foundation. Retrieved from https://www.orfonline.org/research/building-indias-economy-on-the-backs-of-womens-unpaid-work/
20. Pew Research Center. (2022, December 21). Key findings from the Global Religious Futures Project. Retrieved from https://www.pewresearch.org/religion/2022/12/21/key-findings-from-the-global-religious-futures-project/
21. Press Information Bureau (PIB). (2023). Educational Trends and Gender Parity in India.
22. Schultz, T. P. & Tansel, A. (1997). Wage and labor supply effects of illness in Côte d’Ivoire and Ghana: Instrumental variable estimates for days disabled. Journal of Development Economics, 53(2), 251–286.
23. Technical Group on Population Projections. (2020). Population projections. Ministry of Statistics and Programme Implementation, Government of India. Retrieved from https://mospi.gov.in/sites/default/files/reports_and_publication/statistical_publication/Women_Men/Highlights_English.pdf
24. The Economic Times. (2023). Narrative of Indian women’s low LFPR misses the reality: Economic Survey. The Economic Times. Retrieved from https://economictimes.india times.com/news/economy/indicators/narrative-of-indian-womens-low-lfpr-misses-the-reality-economic-survey/articleshow/97486829.cms
25. United Nations Economic and Social Commission for Asia and the Pacific (UN ESCAP). (2019). Beijing Declaration and Platform for Action: Progress and Challenges. Retrieved from https://www.un.org/womenwatch/daw/beijing/pdf/BDPfA%20E.pdf
26. World Bank. (2021). Labour Force Participation and Gender Indicators. Retrieved from https://data.worldbank.org/
27. World Bank. (2021). Wage and salaried workers, female (% of female employment) (modeled ILO estimate). Retrieved from https://data.worldbank.org/
28. World Bank. (2023). India: Gender landscape brief. World Bank Gender Data Portal. Retrieved from https://genderdata.worldbank.org/countries/india/