Factors of Influence on Evacuation Behaviour: Survey Results from the Riverine Floodplain Communities in Bangladesh

River floods are distinct because not all of them are destructive and typically affect the people who are living in riverine areas. Therefore, people often refuse to evacuate even when they face imminent danger. River floods are a recurrent phenomenon in Bangladesh. This research aims to analyse the flood evacuation behaviour of riverine people in Bangladesh. A total of 377 households were selected for the questionnaire survey and were interviewed from April 2019 to May 2019. Bivariate and multivariate statistics were employed to analyse riverine people's evacuation behaviour based on their socio-demographic and economic characteristics. This study found that although 82% of the households had received flood warning messages, only 40% had evacuated. Results from multivariate analysis suggested that the age of household heads, their education, whether they are disabled/chronically ill members, their income, the height of floodwater inside the house, and the type of warning messages they receive appear to be key determinants that influenced their decisions regarding evacuation. Elderly household heads had a lower likelihood to evacuate. The results showed a negative association between early warning messages and evacuation. Household with disabled/chronically ill member(s) was associated with a higher likelihood of evacuation. Similarly, higher water depth in the home was associated with evacuation. These findings will be helpful for policymakers to enhance awareness of riverine households.

Gender, Class and the Cost of Unpaid Care: An Analysis of 25 Countries

This article examines the relationship between gender, class and unpaid care for children and elderly household members across twenty-five countries. Using the microdata files of the 2015–2017 Luxembourg Income Study, we demonstrate that household income quintile shapes the relationship between resident caregiving and a) women’s diminished share of household income and b) the associated “wage penalty” women experience in paid employment, examining dual-headed heterosexual households and grouping countries at varying levels of GDP per capita. Our analyses demonstrate that both eldercare and childcare have a negative impact on women’s economic outcomes, yet the effects of both types of unpaid care vary across class. Overall, childcare has a larger impact for women in lower income households, while eldercare has a larger impact for women in higher income households. However, the wage penalties experienced by wealthier women due to either type of potential care responsibilities are considerably less than those experienced by women in poorer households. Together, these data suggest that unpaid resident caregiving has effects that are both highly gendered and highly classed, leading to intersectional disadvantages for women performing unpaid care within poorer households across countries, and with effects that, in some cases, are further amplified within low-GDP countries.

Regularized Ordinal Regression with Elastic Net Approach (Case Study: Poverty Modeling in Yogyakarta Province 2018)

Generally, modeling poverty aims to obtain the best criteria for assessing poverty status. There are two approaches to model the factors that affect poverty, namely consumption approach and discrete choice model. The advantage of the discrete choice model compared to the consumption approach is that the discrete choice model provides a probabilistic estimate for classifying samples into different poverty categories. This study aims to examined how the factors that affect poverty in Yogyakarta through Regularized Ordinal Regression with elastic net approach both for parallel, non-parallel, and semi-parallel models. The data used in this study is Susenas March 2018 for Yogyakarta provinces. The result of this study shows that the best discrete choice model for Yogyakarta’s modelling is the parallel model. Households that live in villages, have a large number of household members, are headed by women, have elderly household heads, have low education, and work in the primary sector tend to be more vulnerable to poverty. Therefore, a simultaneous policy with inclusive economic development is needed to reduce cross-border, cross-gender, and cross-sector inequality

The Effect of Internal Migrants on the Economic Lives of the Leftbehind Elderly in Vietnam

By analysing the Vietnam Household Living Standard Survey in 2012 (VHLSS2012), which contained the data on remittances sent by the migrants to the households, the study discovered that internal migrants had a positive impact on poverty reduction and living conditions of the elderly left behind. Besides, the study also proved that the internal remittances made the income per capita distribution enlarge the inequality between the elderly household group receiving domestic remittances and the other groups. Although there were recently three consecutive surveys of 2014, 2016, and 2018, but these consisted of only the information on the migrant definition and had no precise details on remittance.