COVID-19 implications in the world's employment scenario / Azuren Adzmi
The intention to conduct this research is to identify how socioeconomic be impacted by Covid 1 9, also known as SARS-CoV-2 is a virus which started in China at the end of 2019 and globally spread on 2020 which caused millions of deaths. Socioeconomic such as occupation, education, income and social...
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| Format: | Thesis |
| Language: | English |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/106277/1/106277.pdf |
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| Summary: | The intention to conduct this research is to identify how socioeconomic be impacted by Covid 1 9, also known as SARS-CoV-2 is a virus which started in China at the end of 2019 and globally spread on 2020 which caused millions of deaths. Socioeconomic such as occupation, education, income and social supports have been greatly affected by this pandemic as most of the nations implemented lockdowns to minimise the virus transmission and to reduce the number of cases. The effect of cross-country differences in pre-pandemic socioeconomic factors on health outcomes during the pandemic is analysed in this paper. We collect data regarding cases of Covid-19 and deaths caused by the virus also the socioeconomic factor from 7 countries across the world in 12 months. We aimed to find out how does the social determinants of health influence social policy like occupation be affected by the Covid-19 cases from those countries and what form of connections does the pandemic has towards the socioeconomic. The data used in this research is secondary data which are unemployment rates in the 7 countries involved as the dependent variables. Since the number of Covid-19 arises, many people lost their occupation and many of them had their income to be cut down since most of the companies also decided to cut the expenses of their firms which leads them to go under stress and there are suicide cases among them. This also impacted the number of unemployment rates to has increment. As for the independent variables. we used the number of deaths from Covid-19, GDP per capita from the countries and the population in those countries to analyse them whether those variables have strong connection or not. |
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