Trends of multidimensional inequality & socio-demographic change in SA during 27 years of democracy

Page 49

12. ENVIRONMENTAL INEQUALITIES In terms of a multidimensional framework of inequality, such as the one applied in this report, environmental factors are considered a ‘conversion factor’.2 This is a factor that is viewed as a key driver of multidimensional inequality. They influence the speed at which individual resources become capabilities (real opportunities) and functionings (outcomes)2. In this section, we consider both pollution and transport as two such conversion factors. When these conversion factors have less inequality associated with them, they enable better lives for individuals.

12.1 Pollution inequalities The effects of population growth have become a global concern due to current levels of global warming. Of particular concern in South Africa is air pollution due to the use of coal power plants. South Africa has some of the world’s highest levels of sulphur dioxide and nitrogen dioxide, both very dangerous pollutants.70,71 Coal power plants are typically surrounded by relatively economically underprivileged areas (such as Middelburg in South Africa), where residents face enormous health problems that remain for generations as a result.70,72 This has led to approximately 20,000 premature deaths annually.70,73 The estimated annual value of the health impact and loss of productivity is $2.4 billion.72 However, in this report, we are less concerned with the absolute levels of pollution and more about the relative effects of pollution on South Africans from different income groups. The legacy of apartheid still plays out today as impoverished South Africans, mostly Black, are still most likely to reside in areas close to mines, refuse sites, sewage sites, main transport roads and other forms of pollution.74 There is a limited amount of quality data and literature about the inequalities in pollution exposure at the end of the apartheid era. It is therefore difficult to determine changes in inequalities in pollution exposure. However, it is evident from a range of often science-based literature that strong inequalities in different types of pollution exposure exist later in the post-apartheid period. Given limited data, it is unclear whether these have increased or decreased. However, it is known from international literature that controlling for pollution exposure when calculating income inequality tends to worsen income inequality measures.75 In the United States, attaching a monetary value to air pollution creates effects similar to those of a regressive tax, so the poor lose income due to greater exposure to air pollution, while the rich gain income due to less exposure to air pollution.75 Info Box 5: Pollution near coal mines “Thomas Mnguni often woke to find the windows and floors of his home covered in a layer of black dust. Living between two coal mines and a landfill in Middelburg, South Africa, he and his family breathed some of the country’s most polluted air. When Mnguni’s son developed symptoms of asthma, a doctor recommended that the family move to a different part of town. Now living about six miles from the mines, the 14-year-old is doing better.”71

Despite a significant expansion of the electricity networks, many South African households still use non-electricity sources of energy for heating and cooking. More than 70% use kerosene, coal and firewood for heating, lighting or cooking.76 Continuous exposure to these fuel sources and their emissions are known to be associated with various forms of poor respiratory health,76 generating further inequalities in another dimension for these households. However, as seen in Table 12 below, there has been a marked increase in the use of electricity from the mains as a cooking source for Black South Africans. From 2003 to 2019, the percentage use of this cooking source increased from 48.4% to 73.0%. A probable cause for this is the vast expansion of the electricity networks over the years to reach a greater population. There was also an increase in the usage of gas as a cooking source, for all population groups. Wood, paraffin, and coal saw a general decline in usage over this time. This implies a reduction in pollution from households that stopped using these cooking sources.

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TRENDS IN MULTIDIMENSIONAL INEQUALITY AND SOCIO-DEMOGRAPHIC CHANGE IN SOUTH AFRICA DURING 27 YEARS OF DEMOCRACY


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Table 13: Population groups' modes of transport to healthcare facilities

13min
pages 51-58

Info Box 5: Pollution near coal mines

3min
page 49

Table 12: Different fuel sources used for cooking, by population group, 2003 & 2019

1min
page 50

Table 11: Afrobarometer responses about a survey on voting freedoms without pressure

1min
page 48

Info Box 4: Gugulethu street committee leader

4min
pages 46-47

Figure 29: Number of households living in different types of housing, 2015/2015

4min
pages 43-45

Figure 25: Means of transport to health facility by geographic location (total households=17.2m

2min
page 39

Figure 28: Number of households living in different types of housing, 2001-2019

1min
page 42

Figure 24: Narrow rate of unemployment for young graduates (2008-2020

4min
pages 37-38

Figure 18: Share of population aged 25-64 by highest level of education and race, 2010 and 2020

1min
page 33

Figure 19: Demographic shift in young graduate (<35 years) profiles by race and gender between 2008 and 2020

1min
page 34

Figure 17: Share of population by highest level of education and age group, 2020

1min
page 32

Figure 10: Reported levels of household hunger (17.2m households

1min
page 27

Table 4: Comparing the Gini coefficient for all households vs. households excluding the top 1% of income households

2min
page 17

Figure 5: Distribution of households by household structure type (total SA population

2min
page 20

Figure 9: Households' main income source by LSM group

1min
page 26

Figure 2: Growth in the number of individuals and households in South Africa, 2001-2019

1min
page 13

Table 7: Median and average monthly per capita incomes of households, by household structure

2min
page 21

Figure 4: Average annual percentage population growth, 1985 – 2020

2min
page 19

Figure 7: Racial composition of post-tax income groups, 2019

0
page 24

Figure 1: Framework for assessing multiple dimensions of inequality using a capability approach2

2min
pages 11-12
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