Domestic Violence, Family Structure and Women's Childbearing Preference: Evidence from Sri Lanka

Authors

  • Nirmani Upekha Samarasekera Department of Forestry and Environmental Science, University of Sri Jayewardenepura, Sri Lanka
  • Darshana Rajapaksa School of Business & Law, Central Queensland University, Rockhampton, Australia https://orcid.org/0000-0002-8161-7963
  • Udugalage Sunila Dilrukshi Department of Census and Statistics, Battaramulla, Sri Lanka
  • U A D Prasanthi Gunawardena Department of Forestry and Environmental Science, University of Sri Jayewardenepura, Sri Lanka

DOI:

https://doi.org/10.37256/redr.3220221262

Keywords:

domestic violence, family structure, population growth, Sri Lankan Demographic and Health Survey

Abstract

Over the past decades, most of the countries in the world have undergone unprecedented demographic changes, such as childbearing preferences. This has been a basis for a large array of research; however, studies so far have focused a little on the impacts of domestic violence and family structure on childbearing preferences which is the overall aim of this study. A logistic regression model was developed using a large data set (8,776) that represents different residential sectors (urban, rural, and estate) in Sri Lanka. Results indicate that women in an extended family structure are more likely to prefer another child than women in a nuclear family. The disaggregated analysis indicates the heterogeneity in childbearing preferences. Precisely, the experience of domestic violence shows a negative impact  in rural and urban sectors. The findings suggest providing appropriate programs on reducing family violence, alleviating poverty and encouraging women's education, to achieve healthy population growth and SDGs.

Downloads

Published

2022-11-08

How to Cite

Nirmani Upekha Samarasekera, Darshana Rajapaksa, Udugalage Sunila Dilrukshi, & U A D Prasanthi Gunawardena. (2022). Domestic Violence, Family Structure and Women’s Childbearing Preference: Evidence from Sri Lanka. Regional Economic Development Research, 3(2), 215–230. https://doi.org/10.37256/redr.3220221262