Women’s Autonomy in Household Purchasing Decision Making in Sri Lanka: An Application of Multivariate Baseline-Category Logit Model

Chandradasa, D. G. S.; Withanage, N.; Ananda, Artha Sejati

doi:10.4236/aasoci.2021.112007

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…Results showed that education, age, income control, and land/asset ownership were predictors of having food purchase agency. Likewise, previous studies have overwhelmingly highlighted that age and education are strong determinants of women's greater agency in household purchasing decisions (Acharya et al, 2010;Chandradasa et al, 2021;Riaz & Pervaiz, 2018;Tebekaw, 2011). Education in particular may be associated with improvement in a woman's level of self-efficacy, which could affect her ability to participate in the decisionmaking processes related to her food intake as well as her children's.…”

Section: Discussionmentioning

confidence: 99%

Women's agency in nutrition in the association between women's empowerment in agriculture and food security: A case study from Uganda

Barak,

Efitre,

Odong

et al. 2023

World Food Policy

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This study examined the relationship between women's empowerment in agriculture (WEA), women's agency in nutrition, and their food security. It aimed to quantify the moderating effect of women's agency in nutrition on the association between WEA and food security. Data from the NutriFish project, a gender‐ and nutrition‐sensitive agricultural intervention in fishing villages in Uganda, were utilized. The study included 380 primary Ugandan female decision makers in dual adult households. WEA was measured using the Project‐level Women's Empowerment in Agriculture Index (pro‐WEAI). Women's agency in nutrition was assessed through measures of agency in regular diet, pregnancy diet, breastfeeding diet, and food purchase. Binary logit regression models were employed to estimate differential associations between WEA and food security, testing three‐way interactions between WEA, agency in regular diet, and food purchase. Results showed that WEA was associated with a 0.18 increase in the predicted probability of food security (p < .01). Women's participation in food purchase decisions strengthened the WEA‐food security association by 0.33 (p < .05). The results suggested that promoting women's food purchase agency can enhance the positive link between WEA and food security. Prioritizing interventions empowering women in food purchase decisions improves food security in gender‐ and nutrition‐sensitive programs.

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Section: Discussionmentioning

confidence: 99%

Women's agency in nutrition in the association between women's empowerment in agriculture and food security: A case study from Uganda

Barak,

Efitre,

Odong

et al. 2023

World Food Policy

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“…The 2016 DHS was the first to ask questions on experience of past year intimate partner violence (IPV) in Sri Lanka. Multiple peer-reviewed studies have investigated child health [ 32 , 33 ], postnatal care [ 34 ], and household decision-making [ 35 ] using data from the 2016 DHS. However, to date, no peer-reviewed studies have been published using the IPV data gathered in the domestic violence module.…”

Section: Methodsmentioning

confidence: 99%

A mediation analysis of the role of girl child marriage in the relationship between proximity to conflict and past-year intimate partner violence in post-conflict Sri Lanka

et al. 2022

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Background Studies from many contexts indicate that proximity to conflict is associated with increased likelihood of intimate partner violence (IPV), and girl child marriage is associated with both proximity to conflict and increased IPV. In this study, we consider whether girl child marriage acts as a mediator of the association between proximity to conflict and IPV in the context of Sri Lanka, which sustained long-term conflict until 2009. Methods We analyzed responses of currently partnered women between ages 18 and 49 in the 2016 Sri Lankan Demographic and Health Survey (N = 13,691). Using logistic regression analyses, we measured associations between proximity to conflict (residence in districts which were central, proximal, or distal to the regions where the war occurred) and the outcomes of IPV and girl child marriage, and secondarily assessed girl child marriage as a possible mediator of the association between proximity to conflict and past year IPV. Results Women residing in districts central to conflict, as compared to districts distal to conflict, had increased odds of past year sexual, physical, and emotional IPV, with the odds of sexual IPV increasing the most (adjusted odds ratio/aOR 4.19, 95% confidence interval/CI 2.08–8.41). Residing in districts proximal to conflict compared to those distal to conflict was associated with lower odds of past year physical and emotional IPV, with the greatest decrease in emotional IPV (aOR 0.31, CI 0.18–0.54). Girl child marriage was more likely in districts central to conflict as opposed to those distal to conflict (aOR 1.89, CI 1.22–2.93), and partially mediated the relationship between centrality to conflict and IPV. Conclusions Our findings demonstrate that residing in districts central to conflict compared to those distal to conflict is associated with greater odds of IPV and girl child marriage in post-conflict Sri Lanka, with girl child marriage partially mediating the association between centrality to conflict and IPV. Residence in districts proximal to conflict appears protective against IPV. Future research should investigate what factors are responsible for decreased IPV in districts proximal to violence, and whether these factors can be reproduced to mitigate the increased prevalence of IPV in districts central to conflict.

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“…Women discrimination has been influenced by a range of characteristics, including factors such as age [23][24][25][26][27], marital status [28][29][30], age of marriage, functional difficulties [31,32], household age, wealth index [30,33], currently pregnant, currently contraceptive use, child born, husband beating, place of attack, happiness status, magazine exposure, radio exposure, TV exposure, ICT). Additionally, community characteristics such as area and region [34][35][36] also play a role in women discrimination.…”

Section: Conceptual Frameworkmentioning

confidence: 99%

“…There have been limited studies conducted in Bangladesh on women's discrimination, and most of the studies applied binary logistic regression. In addition, there are some studies conducted in many countries using the probit model [23][24][25]. However, none of the previous studies attempted to investigate the factors influencing discrimination against women at both the individual and community levels using a multilevel analysis approach.…”

Section: Introductionmentioning

confidence: 99%

Individual and community-level factors associated with discrimination among women aged 15–49 years in Bangladesh: Evidence based on multiple indicator cluster survey

Haq¹,

Sarker²,

Chakma³

2023

PLoS ONE

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Background This research aimed to examine the factors at both the individual and community levels that are linked to discrimination experienced by women aged 15–49 in Bangladesh. Methods The relevant data was taken from the 2019 Multiple Indicator Cluster Survey in Bangladesh. The risk factors for discrimination against women in Bangladesh were determined using multilevel logistic regression models. Results The overall prevalence of discrimination against women was found to be 10.4% (95% CI: 10.1–10.6). Based on the final model (Model 1V), at the individual level higher odds of discrimination were observed among women from poor (AOR:1.21,95%CI: 1.12–1.32) and middle income households (AOR:1.12, 95%CI:1.02–1.22) compared to those from rich households etc. Women who have never used ICT were 1.27 times (AOR = 1.27, 95% CI = 1.07–1.51) higher odds of discrimination when compared with women who were ICT exposed. Respondents who married before 18 years 10% more likely to (AOR = 1.10, 95% CI:1.02–1.19) discriminated than women married aged 18 years old or above. Women from urban communities were 15% less likely to experience discrimination than their rural counterparts. In comparison to the Sylhet Division, women in the Barisal, Chattogram, Dhaka, Khulna Mymensingh, Rajshahi, and Rangpur Divisions were respectively 3.02, 1.84, 1.68, 2.06, 4.97, 4.06, and 1.74 times more likely to experience discrimination. Conclusion Findings revealed that various individual-level factors such as wealth index, CEB, ICT exposure, marital status, functional difficulty, age, women’s happiness, magazine and radio exposure, age at marriage, current contraceptive use, polygamy, husband beating, place of attack, and household head age were found to have a significant association with women discrimination. Community-level factors such as residence and division were also found to have a notable impact on discrimination. Policymakers should incorporate substantial components targeting both individual and community levels into intervention programs with the goal of raising awareness about women’s discrimination.

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Women’s Autonomy in Household Purchasing Decision Making in Sri Lanka: An Application of Multivariate Baseline-Category Logit Model

Cited by 5 publications

References 14 publications

Women's agency in nutrition in the association between women's empowerment in agriculture and food security: A case study from Uganda

Women's agency in nutrition in the association between women's empowerment in agriculture and food security: A case study from Uganda

A mediation analysis of the role of girl child marriage in the relationship between proximity to conflict and past-year intimate partner violence in post-conflict Sri Lanka

Individual and community-level factors associated with discrimination among women aged 15–49 years in Bangladesh: Evidence based on multiple indicator cluster survey

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