2022 IB Diploma Extended Essays
GDP per capita correlates to its very low HIV prevalence. In addition, reduced productivity from employees has negative impacts on the firms, which hinders a nation’s economic growth. Using figure 10 as a reference, reduced productivity would decrease aggregate supply, resulting in the opposite of figure 10, a rise in inflation and fall in real GDP. The increase of HIV illness in a region leads to an increase of impoverished families. When there is a decrease in the level of average income in a nation, the level of demand for a range of goods and services falls, which negatively impacts a nations GDP. Furthermore, people with limited income will struggle to afford necessary HIV treatment, which will allow for the greater risk of the spread of HIV in communities and the risk of death due to AIDS. Therefore, this shows the extent of the relationship between HIV prevalencemand GDP per capita in a nation. Figure 13. Number of People Living with HIV per 1000 compared to Unemployment Rate in Botswana, South Africa, and Australia 2005 - 2020
300
35
30
250
UNEMPLOYMENT RATE (%)
25
200
20
150
15
100
10
50
5
0
0
NUMBER OF PEOPLE LIVING WITH HIV PER 1000
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
YEAR
Botswana Unemployment
South Africa Unemployment
Australia Unemployment
Botswana HIV
South Africa HIV
Australia HIV
24
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