Thennakoon, Dharshani ORCID: 0000-0003-4724-0231, Wanninayake, Shalini Dananja Kumari ORCID: 0000-0003-2808-3226 and Kailasapathy, Pavithra ORCID: 0000-0002-8863-5822 (2022) Honey, How Can I Help? Gender and Distribution of Unpaid Labour during COVID-19. Sustainability, 14 (22). ISSN 2071-1050

Abstract

Societies’ ideologies on the distribution of unpaid labour seem to have remained stagnant despite dramatic shifts in the worlds of work and society. The distribution of unpaid labour has implications for the wellbeing of individuals and the sustainability of their various personal and professional relationships. Our study addressed the less-researched “what” and “why” of the distribution of unpaid labour among dual-earner couples during the COVID-19 pandemic. We used a qualitative approach, conducting 32 semi-structured interviews with individuals belonging to dual-earner couples in Sri Lanka. Interview data were thematically analysed using social role theory. Six major findings emanated from our study; (1) the pandemic did not drastically change the distribution of unpaid labour in most dual-earner couples, confirming traditional gender norms; (2) there was a change in the contribution of men towards unpaid labour when the woman was at home (working from home or during maternity leave), or had other means of support from domestic aid or extended family; (3) three clusters of men were identified as “sharing”, “chipping-in”, and “not-my-problem” types, depending on their involvement in unpaid labour; (4) “chipping-in” and “not-my-problem” type men reinforced the notion of gendered distribution of unpaid labour; (5) three clusters of women were identified as “sharing”, “asking-for-help”, and “bearing-the-cross” types; and (6) these couples, and women specifically, endured the unequal division of unpaid labour with the assistance of parents, in-laws, or paid domestic help. Our study has implications for the sustainability of individuals, as well as their wellbeing, families, organisations, and society.

Search Google Scholar

Repository staff login