Abstract
PurposeConditional Cash Transfer (CCT) aims to assist expectant mothers in low-income households. It might address the insufficient prenatal and postnatal healthcare services in rural areas of low-income nations, including Bangladesh. However, the effectiveness of such intervention is rarely investigated in rural Bangladesh. The study aims to explore the impact of CCT on certain health outcomes of expectant mothers in southwestern rural Bangladesh.Design/methodology/approachThe study applied the quasi-experimental Propensity Score Matching method to assess the effectiveness of CCT in health outcomes of expectant mothers. The authors also deployed logistic regression to explore the predictors of three health issues – blood pressure, hemoglobin adequacy and morning sickness.FindingsThe Average Treatment Effect shows that the CCT program significantly improves maternal health by lowering the extent of blood pressure and morning sickness and enhancing the hemoglobin adequacy of the CCT recipient women compared to the non-recipient. The result reveals that CCT beneficiary status as well as the education and immunization are positively and significantly associated with normal blood pressure and hemoglobin adequacy. CCT is also a negative predictor of morning sickness. The study recommends to expand the coverage of the CCT program and also emphasize on the improvement of education, training and immunization for rural pregnant women.Originality/valueTo assist in scaling purchasing power and nutritious food for poor pregnant and lactating mothers in low-income households, “Nobojatra” project initiated the CCTs in the southwest region of Bangladesh. Yet, the impact of such cash transfers on their health outcomes is rarely explored in the context of Bangladesh. This study provides evidence regarding the effectiveness of cash transfers to pregnant women of low-income households in rural Bangladesh.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2022-0512
Subject
General Social Sciences,Economics and Econometrics
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