This article mainly explores the economic and health challenges faced by Bangladesh amid COVID‐19 and the policies taken by the government of Bangladesh to tackle the economic and health issues. Bangladesh is ranked as one of the worst‐hit countries in terms of total corona infections. Affecting the social, economic, and health sectors of the country, COVID‐19 pandemic has dampened the overall economic well‐being and thus GDP growth along with skyrocketing poverty, inequality, and unemployment nationwide. To tackle these crises, the government has initiated effective policy measures which, in turn, enhanced the recovery rate of COVID‐19 positive patients and strengthened the recovery of economic indicators. Therefore, this article suggests other hard‐hit COVID‐19 affected countries following the recovery model of Bangladesh to encounter the economic and health challenges due to the coronavirus pandemic.
This paper explores the level of knowledge, attitudes and practices towards COVID-19 guidelines among the students in Bangladesh. In achieving this objective, this paper used primary data collected from 1822 students wherein three different Likert scales and a one-way ANOVA test were used to assess knowledge, attitudes, and practices (KAP) scores as well as mean differences with respect to different variables. This research reveals that the majority of students had a higher level of knowledge and a positive attitudes towards the COVID-19 guidelines. Contrarily, only 0.22 percent of students showed a strong compliance towards COVID-19 guidelines while the majority of students (60.54 percent) had rather poor adherence which is an alarming finding. Hence, reopening the educational institutions in Bangladesh amid this second wave of the pandemic is not advisable yet. Nevertheless, reinforcing the preventive measures through campaigns or online discussion is crucial to persuade people to follow the preventive guidelines. In addition to this, urgent vaccination of all students and teachers is highly recommended to contain this global disease in an attempt to reopen the on-campus education system as soon as possible.
This article mainly explores to what extent international remittances alleviate household poverty in Bangladesh. This study uses primary data collected from 216 households and employs multi-methods. Firstly, I measure the level of household poverty through Foster-Greer-Thorbecke index. The article secondly focuses on the impact of remittances on household poverty using a binary logistic regression model. I found that the level of poverty among remittance recipient households is notably lower than households that are not receiving remittances. Similarly, the probability of a household being poor is alleviated by 28.07 per cent if the household receives remittance. It can be suggested that nursing international remittances can be useful for poverty alleviation in Bangladesh.
This article aims to give a fresh insight into the non-linear relationship between unemployment, governance, and poverty in Pakistan. For the purpose, the study utilizes data from 1984 to 2016 by employing a nonlinear ARDL co-integration approach. The findings provide an insight that poverty responds asymmetrically due to positive or negative shocks in unemployment and governance. Moreover, the results suggest that applying linear models on poverty modelling may mislead the inference. The findings of the study imply that the policymakers and academicians must consider nonlinear behaviour of poverty for better policymaking.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.