EMPTY PROMISES OF A NEW DAWN - A QUANTITATIVE STUDY ON EDUCATION AND EMPLOYMENT IN SOUTH - DIVA PORTAL
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Empty promises of a new dawn A quantitative study on education and employment in South Africa Richard Backman International Migration and Ethnic Relations Two-year master Master Thesis 30 credits Department of Global Political Studies Spring 2021: IM639L Supervisors: Christian Fernandez and Haodong Qi Word count: 20 558 i
Table of contents 1. INTRODUCTION .................................................................................................................... 1 1.1 AIM OF THE STUDY AND RESEARCH QUESTIONS .................................................................... 2 1.2 DELIMITATIONS ............................................................................................................................. 2 1.4 CLARIFYING TERMINOLOGY .......................................................................................................... 3 1.5 STRUCTURE OF THE THESIS ........................................................................................................... 4 2. CONTEXTUAL BACKGROUND ................................................................................................ 5 2.1 THE APARTHEID ERA ..................................................................................................................... 5 2.1.1 Education during Apartheid .................................................................................................. 6 2.1.2 Employment during Apartheid ............................................................................................. 10 2.2 SOUTH AFRICA, ITS EDUCATION AND EMPLOYMENT SYSTEM POST-APARTHEID 1994 UNTIL TODAY ............................................................................................................................................... 12 2.2.1 The Education system and its current challenges ................................................................ 12 2.2.2 The employment system and its current challenges ............................................................. 15 2.3 SUMMARY ................................................................................................................................... 19 3. PREVIOUS RESEARCH.......................................................................................................... 20 3.1 CONCLUSION ............................................................................................................................... 25 4. THEORETICAL FRAMEWORK .................................................................................................... 26 4.1 THE EDUCATION-EMPLOYMENT RETURNS THEORY.................................................................... 26 4.2 SUMMARY ................................................................................................................................... 29 5. RESEARCH DESIGN, DATA AND METHODS ............................................................................... 30 5.1 VALIDITY AND RELIABILITY OF THE STUDY ............................................................................... 30 5.2 ROLE OF THE RESEARCHER.......................................................................................................... 33 5.3 VARIABLES USED AND THEIR CATEGORISATIONS ....................................................................... 34 5.3.1 The Schoolyears variable .................................................................................................... 34 5.3.2 The employed variable and other employment categorisations .......................................... 35 5.4 METHODS .................................................................................................................................... 36 5.4.1 GRAPHICAL DATA ANALYSIS .................................................................................................... 36 5.4.2 LOGISTIC REGRESSIONS ............................................................................................................ 36 6. RESULTS AND ANALYSIS .......................................................................................................... 39 6.1 RESULTS FROM THE GRAPHICAL DATA ANALYSIS....................................................................... 39 6.2 RESULTS FROM THE LOGISTIC REGRESSIONS .............................................................................. 43 6.3 CONCLUSION ............................................................................................................................... 55 7. CONCLUSIONS ........................................................................................................................ 56 8. BIBLIOGRAPHY ....................................................................................................................... 59 9. APPENDIX............................................................................................................................... 73 9.1 HISTORICAL BACKGROUND AND ADDITIONAL INFORMATION ABOUT THE SOUTH AFRICAN EDUCATION SYSTEM .......................................................................................................................... 73 9.2 ADDITIONAL INFORMATION ABOUT THE QLFS, AND VARIABLES USED IN THE LOGISTIC REGRESSIONS ..................................................................................................................................... 77 9.3 FULL ESTIMATIONS OF THE LOGISTIC REGRESSIONS, MODEL 3, MODEL 6-8 .............................. 81 ii
Abstract: Building on the existing framework of educational returns in South Africa, this quantitative study uses statistical data from the Quarterly Labour Force Surveys for the years 2008-2018 with the aim to research educational returns on employment in South Africa. Findings from the logistic regressions models used indicate that tertiary education is essential for employment, and that returns for each additional school year below grade 12 are moderate. In addition, the Coloured and Black population groups receive lower returns than the White population group, and men have higher returns than women. By running independent regressions, new observations occurred that impact some race and gender combinations while being moderate for others, which contributes to the research on education and employment in South Africa. Keywords: South Africa, returns to education, employment, logistic regressions iii
Table of figures and tables Name: Page: Table 1: Comparison of different educational variables between racial categories during Apartheid________________________________________________ 9 Figure 1: Grade 4 learners who can read at a basic level in percentage by deciles of average school wealth__________________________________________________________ 14 Table 2: Unemployment rate in South Africa 1998-2018 in percentage_____________ 15 Figure 2: Post-Apartheid Unemployment rate in South Arica by gender and race________________________________________________________________________________ 17 Table 3: Post-Apartheid unemployment rate by gender and race_____________________ 18 Figure 3: Returns to education on earnings 1993-2000___________________________________ 21 Table 4: The employment equation 1995-2015_____________________________________________ 24 Figure 4: The Education-Employment returns theory visualised________________________ 28 Graph 1: Highest education level by racial group 2008-2018 aged 15-64 in percentage_________________________________________________________________________ 39 Graph 2: Employment by racial group and gender aged 15-64 in percentage_________________________________________________________________________ 40 Graph 3: Employment by racial group and Years in school aged 15-64 in percentage________________________________________________________________________________ 41 Table 5: Linear returns to education using logistic regressions, Model 1-3___________ 43 Table 6: Non-linear returns to education using logistic regressions, Model 4-6______ 45 Graph 7: Non-linear returns to education on employment, all groups___________________ 46 iv
Table 7: Logistic regressions estimated on each racial group independently using Model 7_____________________________________________________________________ 48 Graph 8-10: Returns to education on employment from Model 7________________________ 49 Table 8: Logistic regressions estimated on women and men independently using Model 8_____________________________________________________________________ 52 Graph 11-12: Returns to education on employment from Model 8______________________ 53 Figure 5: The ratio of different employment statuses in the QLFS 2008-2018: _____ 77 Table 9: Classification information of the Schoolyears variable________________________ 78 Table 10: Descriptive statistics of the QLFS sample 2008-2018, aged 15-64________ 79 Table 11: Variable classifications in the logistic regression models____________________ 80 Table 12: Full estimations for model 3________________________________________________________ 81 Table 13: Full estimations for model 6________________________________________________________ 83 Table 14: Full estimations for model 7________________________________________________________ 85 Table 15: Full estimations for model 8________________________________________________________ 87 v
Acknowledgments: Finishing this master thesis would not have been possible without the continuous support of my fantastic friends. They have commented, discussed and encouraged me to carry on writing throughout this process. The hours you have spent reading, assisting me in finding the relevant factors and been present whenever I needed you are acts of true kindness that I will never forget. I would also like to thank my supervisors Christian Fernandez and Haodong Qi for your incredible support throughout this writing process. Even if the process took longer than I participated, I have been blessed to receive your helpful supervision nonetheless. Thank you for your time. Lastly, I would like to thank my family and especially my dear mother. Regardless of the setbacks and external factors that occurred during this process, you helped me trust the process and continue on, as you have done so often throughout my life. All that I am, or ever hope to be, I will always owe to you. A big hug to our dear Palle who passed away shortly after the submission, you will always have a place in my heart. vi
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1. Introduction The former South African president and human rights icon Nelson Mandela once said that “No country can really develop unless its citizens are educated” (Kumar & Puneet 2018, 44). However, in South Africa today, several severe challenges in the primary education system remain, such as a dropout rate of over 50% among all students that enter high school (IRR, 2018). In addition, there are significant racial inequalities when observing matric 1 certificate pass rates among the three main population groups: 88% of the White population attained matric in 2011, while the combined percentage for the Coloured and Black population was only 44% (Hartnack, 2017). Given that the Black and Coloured population in South Africa in 2018 was estimated to be 88% in comparison to the White population of 8%, the education system in South Africa continues to fail the same groups that Apartheid once discriminated against before it ended in the early 1990s (CIA, 2019; BBC, 2018). 2 Furthermore, there are substantial inequalities in employment. Numbers from Statistics South Africa show that in 2019 the unemployment rate for the Black population was 31.1%, while it was 22% for the Coloured population and 7% for the White population (Statistics South Africa, 2019a, 21-22). For women across all racial lines, the unemployment rate has consistently been higher than that of men. The latest census from 2011 shows that the unemployment rate for women was 46%, compared to 34.2% for men (Statistics South Africa 2012, 52). The income inequalities have also risen in South Africa, and in 2014 the top 10% highest income earners received half of the national income (The world bank, 2014). South Africans have waited long for the “new dawn” that the current president Cyril Ramaphosa promised them in his first State of the Union speech in 2018 (South African Government, 2018). Why is education important when it comes to employment? According to the World bank report “Overcoming poverty and inequality in South Africa”, the likelihood for employment rises significantly with schooling. (Sulla & Zikhali 2018, 22) According to their estimations, more years in school increases employment drastically (Ibid). It is unclear however if each year of additional schooling will increase the likelihood for employment equally or tertiary or secondary schooling will be more essential than primary schooling. In addition, there could be 1 The matric certificate is a high school diploma. In order to get a matric certificate, a student needs to pass the national final exams, completed in grade 12. There are also different passing levels of a metric certificate, and a student needs to score a Bachelors pass on the metric to attend University (Macha, 2021). For more information about the education system, see the Appendix on page 76. 2 Definitions of the racial groups and will be examined later in this chapter and Apartheid extensively in Chapter 2. 1
discriminatory factors involved as well, where Black Coloured and female students would benefit less from their degrees than White and male students, due to the long history of colonialism and Apartheid in South Africa. Therefore, the point of departure will be to study if race and gender have a role on the return to education on employment almost thirty years after the fall of Apartheid. 1.1 Aim of the study and research questions This thesis uses statistical data from the Quarterly Labour Force Surveys for the years 2008- 2018 with the aim to research the effect that education has on employment in South Africa. The following questions will be answered: 1. If education has a positive return in terms of employment, does the return vary proportionally across race and gender lines? 2. Will each additional year of schooling increase the likelihood of employment, or will later years hold more significance? Is the return linear or non-linear for all groups? 3. Do certain factors affect a specific combination of gender or race when the models are applied? 1.2 Delimitations The empirical analysis in this thesis relies on openly available data from Statistics South Africa and their Quarterly Labour Force Surveys (QLFS). The years I have chosen to focus on are 2008-2018 inclusively. My interest lies in finding a possible impact that education has on employment. After familiarising myself with the QLFS datasets, I have decided to drop observations from the datasets who are younger than 15 and older than 64, and those that belong to the Indian/Asian ethnicity. Due to South Africa’s young population, and in combination with a steady education dropout rate before grade 12, some South Africans start working at an early age (Statistics South Africa, 2012, 21-34). In addition, Statistics South Africa defines the economically active population to be between the age of 15 to 64 (Ibid). The category Indian/Asian ethnicity was dropped due to my aim to focus on the three main racial groups in South Africa: Black, Coloured, and White. In the census of 2011, there were five racial categories for the population in South Africa. These are “Black”, “Coloured”, “White”, “Asian” and “Other” (Statistics South Africa 2012, 17). The three first categories will be discussed and included in this research, while the last two will be excluded. The reason for this delimitation is their small size as a percentage of the overall 2
population, representing only 2.5% (Ibid). The “Other” racial category did not exist during Apartheid, but “Asian”, or “Asian/Indian” has existed since 1961 (Pillay 2015, 121). The “Asian/Indian” category has, throughout South African history, suffered from discrimination from the state in various ways, and were forcedly removed to specific areas in several cities during Apartheid (Ibid; Breckenridge, 2014, 229-230). Recognising that this racial category was subject to many of the same racist practises of the government as all the other racial categories who were not “White”, the decision is made to exclude this category only due to my research focus. Accordingly, the findings of this paper are not meant to apply to the “Asian” group in the country. 1.4 Clarifying terminology There are terminologies regarding race used throughout the South African history and in academic literature. Similar terminology is used in this thesis and this chapter presents the chosen definitions: Race: The present data regarding employment and education levels divides the population into categories based on four different racial categories (Desmond-Harris, 2014). These categories are implemented in this thesis due to their presence in the data being used and their frequent use in South African society (Posel 2001a, 109; Datafirst, 2017). Nevertheless, as Megan Gannon notes in the Scientific American, race as a constructed concept “is too crude to provide useful information, it's a concept that has social meaning that interferes in the scientific understanding of human genetic diversity” (Megan, 2016). Even if the meanings and conceptions about race are constructed, it is visible and experienced in everyday-life for many through the forms of racism and discrimination and is therefore useful to use in political and social studies (Ibid; Desmond-Harris, 2014). This thesis focuses on three of the racial categories South Africa: Black African, Coloured and White. These categories were founded during Apartheid by the state 3 who also classified individuals through several dehumanizing practices (Posel 2001b, 59-63). In the data material used in this thesis, the individual classification is done by the respondent and not the state official. This thesis defines the three racial categories as the following: 3 These four categories were first mentioned legally in the Parliament Act no 30 of 1950 at the beginning of Apartheid, and have been present since then. The legal definitions mentioned in the racial categories are citations from this legislation. This legislation, along with other Apartheid laws will be discussed further in the next chapter. 3
- Black/African: A person who is an ancestor of the San people, Bantu speaking people, former slaves or native immigrants from other African countries. (Longman & Brown, 2018; Müller 1982, 1-2). Black is being used as the term for the group instead of African, for similarity with the two other groups. - Coloured: A member of a diverse group who share a lot of culture with the White population (Bloom 1967, 139). This group originates from the ancestors of marriages between different slave groups and Whites during South Africa’s long colonial history (Ibid, 143) Most people of the group speak English or Afrikaans, and a small minority speak Malay and other Asian languages (Ibid, 145). - White: A person descendent to British and Afrikaner or other Ethnic European groups. The Afrikaner group consists of the Dutch-speaking population who were the first colonisers in South Africa (Longman & Brown, 2018). 1.5 Structure of the thesis This thesis is divided into seven chapters. Following this chapter, a contextual background with regards to the history of South Africa, its education policies and their implications as well as current education and employment levels will be discussed. In Chapter 3, relevant previous research on the current issue will be presented. Next, Chapter 4 will provide information on the theoretical framework, while Chapter 5 will discuss the research design, method, regression models and data. Chapter 6 will present and discuss the results from the chosen research methods, and lastly, Chapter 7 will present a concluding discussion on the results in relation to the research questions and theory, and propose further research directions in this field. 4
2. Contextual background This chapter will offer a brief history of South Africa and its education and employment systems as well as presenting figures of their performance today. Particular focus will be on both sectors during the Apartheid years and what implications these policies still have in South Africa. This is done to keep the background strictly relevant to the aim of this thesis. However, this leaves some important aspects uncovered. Therefore, it is worth mentioning that systems such as Apartheid were not new when introduced in the mid 20th century. Several other practises and laws aimed at different groups were used long before, culminating later in more widespread systematic segregation and, in the end, to Apartheid. (Dlamini 1990, 65). For a short description of the Pre-Apartheid era and the education and employment systems from the beginning of the colonisation of South Africa, see the Appendix on page 73. The background chapter is intentionally long with in-depth discussions about the present and previous employment and education systems and their purpose. This detailed chapter is done because the findings from the chapter will later be used as a part of the theoretical framework to interpret underlying reasons behind the data patterns presented in Chapter 6, reasons that are impossible to observe from the data estimations alone. The background chapter includes general previous research regarding the employment and education in South Africa, while Chapter 3 presents studies that are similar in nature to this thesis in both datasets and methods used. 2.1 The Apartheid era In 1948, the Afrikaner nationalist party National Party (NP) won the national elections and started working intensively to make their vision of Apartheid 4 a reality. During the 1950s, a series of acts were introduced to create a segregated South Africa, such as the Population Registration Act of 1950. This act required all South Africans to be classified according to the government specified categories 5 and these categories were White person, Coloured and Black (Longman & Brown 2018). A fourth group, “Indian/Asian”, was introduced later as an amendment to the act of 1950 (Posel, 2001a, 98; Pillay, 2015, 121). 4 The word in Afrikaans means “Separateness” and in English is referring to “a social policy of racial segregation involving political and economic and legal discrimination” (Vocabulary, 2020) 5 Those who wanted to change their race needed to go to the Department of Native Affairs for judgement and that department did not have any official guidelines to make their decisions. In order to determine the race of a person, the officials used different, unofficial and often humiliating measurements such as how soft the ear lobe was, the location of the cheekbones or used a pencil as a tool to figure the structure of the hair (Posel 2001, 59). 5
The 1950s also saw the passing of the Group Areas Act, which introduced areal segregation, and largely forced Blacks and Coloureds out from living in the city centres and into the township areas created for their race. This happened on a large scale in many cities country (Longman & Brown, 2018). There are two other notable acts which were legislated during this decade: The Bantu Education Act, which will be discussed later in this chapter, and the “Pass laws”, which required every Black person to carry a reference book filled with various personal information at all times (Ibid). These acts lead to massive protests, such as the Women’s March to the Union building6, and the Sharpeville massacre, which left seventy Black protesters dead and got the African National Congress (ANC) banned. Nelson Mandela and other ANC activists were jailed for life in 1963, and actions from the Apartheid Government started to be condemned by the international community. This resulted in South Africa being banned from the Olympic Games and the UN declaring Apartheid a crime against humanity (BBC, 2018; Dugard 2008, 1-2). During the 1970s, around three million people were forced to Homelands 7 across the country. Around 600 more young students were killed in Soweto during a large protest against the Bantu Education Act. The 1980s were categorised by larger international protests and boycotts, as well as regular revolts and a six year long declared state of emergency (Longman & Brown, 2018). In addition, the international protests against Apartheid grew, resulting in economic, political and cultural sanctions, putting a pressure on the South African economy and forcing the government to prepare a transition to full democracy for all South Africans (CIA, 2021; The Commonwealth 2021). The decade ended with FW de Klerk being elected president and talks between him and Mandela taking place (BBC, 2018). In 1990, Mandela was released from prison and discussions between the NP, ANC and other parties began the following year, leading to a repeal of old Apartheid laws. In April 1994, the ANC won the first democratic non- racial elections and Mandela became president (Ibid). 2.1.1 Education during Apartheid The education system during Apartheid focused on segregation. The ruling National Party 6 The march to the Union Buildings in Pretoria took place on August 9th 1956, when 20 000 women of all races protested against “The Abolishment of Passes act”. They marched under the slogan “If you strike a woman, you strike a rock, you will be crushed!” (Boddy-Evans, 2018) This day is celebrated every year as the Women’s Day in South Africa (South African Government, 2021; Lenser, 2019, 10) 7 The Homelands policy resettled by force over 3.5 million black citizens to areas called homelands, who in size were and location where ineffective for its inhabitants. The homelands were not self-sufficient, instead by purpose tied to the White areas for employment and goods. The land that was taken from the black population and sold for a low prize to White farmers (Apartheid Museum, 2021; NYTimesOpinion, 1981). A map of the apparent size differences of the homelands and their locations are included in the Appendix on page 75. 6
passed the Bantu 8 Education Act in 1953 and the Coloured Persons Education Act in 1963 9 to prepare the Black and Coloured communities for their role in society, decided by the government. With these laws, the state brought all Black and Coloured schools under government control and forbade any school to function if it did not teach a government- approved curriculum (Dlamini 1990, 39-42). The aim was total control of the education system in order to reproduce and reinforce the racial inequalities and hierarchy that already existed in society (Ibid). The language of instruction was specified to be either Afrikaans or English, creating a substantially higher barrier to education for Black students than for White or Coloured students, whom the majority spoke either language (Dlamini 1990, 20; Bloom 1967, 145). When the Bantu Education Act was debated in Parliament, the following remarks were made by Henry Verwoerd, Minister of Native Affairs: “There is no place for (the African) in the European community above the level of certain forms of labour. It is of no avail for him to receive a training which has its aim, absorption in the European community” (Wills 2011, 3). The Apartheid government had specific plans for the implementation of this through Bantu Education in Black schools. These plans included substantially fewer qualification standards for teachers in Black schools and a one-tenth per capita state funding for Black schools compared to their White counterparts (Equal education 2015, 19). Apartheid did not only segregate among races but also along gender lines. Separate classrooms, sporting fields and spaces occurred in all three education systems, where girls often got silenced and directed to smaller spaces than the boys (Carrim 2007, 181-183). In performance, girls were able to keep up with the boys on the primary level but fell behind in secondary school. They were often directed away from subjects where boys dominated to avoid competition, and experienced oppression and harassment in school with the fear of being expelled if they spoke out (Ibid). This treatment occurred both for female students and female staff. Female staff members also received smaller salaries and fewer benefits, and were rarely given management positions. The experiences of women and girls in the education struggle were often downplayed until Apartheid was abolished, when more attention was given to these issues in order to address the challenges that they faced in school (Ibid). Bantu education, unlike the White and Coloured education, was neither compulsory nor free, creating substantial economic barriers for many families wanting their children to stay in school (Johnson 1982, 220). The state also systematically replaced White and male teachers from Black schools with Black and female teachers to make the education less costly, since female teachers were paid less. In addition, most of the school budget for Bantu education went to teachers’ salaries, 8 In the law, “Bantu” is a synonym for a “native” person. However, in this thesis, the term “Black” is used instead. 7
creating a lack of proper facilities and equipment for the students (Equal Education 2015, 19). At the end of Apartheid, a Black school generally consisted of not much more than a building, (Lemon, Battersby-Lennard 2009, 518). These practices by the Apartheid Government were met by resistance from the Black population, culminating in protests such as the Soweto uprisings in 1976. 10 After being released from prison, Mandela called the Bantu education system “a crime against humanity” (Ibid). The Coloured Person’s Education Act of 1963 was met with frustration and opposition from the Coloured community. Similarly to Bantu education, the act brought Coloured education totally under state control, enabling the Apartheid government to fulfil its vision for the Coloured students to be a group separated from the White and Black cultures (Parliament Act No. 47 of 1963; Bloom 1967, 149; Carrim 2007, 177-178; Roussow 1974, 17). Limited employment opportunities, underfunding of schools and unqualified teachers posed a challenge for the Coloured schools. In addition, a significant dropout rate caused concerns due to parents taking their students out of school to look after their siblings or to work (Roussow 1974, 16-18). Due to lower salaries for Coloured teachers compared to their White counterparts, some qualified teachers, along with other highly educated Coloured persons, left South Africa in search of higher salaries abroad (Ibid). There were also challenges with racial classification due to the Population Registration Act 30 of 1950. Some families applied to be reclassified, while others were waiting to be classified, resulting in their children being unable to attend school, in some cases for years, until the process was completed (Ibid). The Afrikaans language policy that lead to the Soweto uprisings was designed to bring Coloured and White communities closer together, but was instead met with disapproval from Coloured students and teachers who became more vocally critical towards the Apartheid regime (Ibid). The state funding for Coloured schools was significantly lower than for White schools during the whole Apartheid period (Wills 2011, 85-88). The White education system was designed to be the best in South Africa in order to favour the White population. School for White English and Afrikaans students was free and compulsory from age 7 until 16. In addition, the state covered the cost of all books and other educational equipment. In the classrooms, the curriculum attempted to convince the student of White supremacy and Afrikaner Nationalism though various methods. 11 The schools were also creating an environment where male aggression, homophobia and patriarchal assumptions could flourish (Carrim 2007 183- 184). Since the schools were mainly segregated in terms of areas, staff and students, Black or 10 The Soweto uprisings were a series of protests that took place primarily in Soweto, but also were spread to other areas such as Cape Town and Port Elizabeth (Ndluvo 2011, 350). The Bantu Education policies had, for some time, left the black schools overcrowded and underfunded, causing growing frustration among the black population (Ibid, 321-323). When the Bantu education board forced Afrikaans as a language of instruction in all schools, it created a series of protests across South Africa that left 575 people dead from police brutality and street violence (Ibid, 350). 11 Afrikaner schoolbooks contained messages such as “South Africa belonged to Afrikaners”, ”The Afrikaner was threatened” and “Whites were superior, Blacks were inferior” (Wills 2011, 15-16) 8
Coloured students who enrolled with White students were often marginalised (Ibid, 179). Receiving the most funds per capita from the government and having the highest enrolment rate, White students were better at passing the matric, although their performance was decreasing significantly towards the end of Apartheid. Table 1 illustrates the state funding, the performance and the conditions in the different schools during Apartheid: Table 1: Comparison of different educational variables between racial categories during Apartheid State spending per student on education in Rand by race: Year: Black Coloured White 1953 17.1 N/A 127.8 1960 12.5 N/A 144.6 1971 25.3 94.4 461 1980 176.2 286.1 1 021 1986 477 1 021 2 508 School enrollment ratios in percentage by race: Black Coloured White 1950 32.9 67.9 85.8 1960 45 69.2 94.9 1970 54.2 74.6 95.7 1980 83.1 93 96.3 Teacher-Student ratio by race: Black Coloured White 1960 1:57 N/A 1:23 1970 1:65 1:31 1:20 1980 1:47* 1:25 1:19 Percentage of the population illiterate by race: Black Coloured White 1980 33 15.5 0.7 Sources: Wills (2011), 87, 112; Pillay (1984), 2, 14, 19; Johnson (1982), 220 *The data for Transkei, Venda and Bophuthatswana is missing for Black schools 9
From Table 1, the unequal treatment by the Apartheid government regarding education for different races is visible. The differences in state funding for education illustrates the financial framework that the schools had available for its students, and even though the funding for all races has increased and the gaps between races have decreased over time, the inequalities are consistently present. In all variables, the numbers show the following: firstly, the White schools have the best results while, in contrast, the Coloured schools outperform the Black schools. Secondly, the situation has over time improved for all races. Thirdly, racial inequalities have been decreasing, but significant differences are still apparent. The illiterate percentage of the population by race shows the most substantial gaps between races and shows that the education system has created large inequalities between the three main population groups in South Africa. 2.1.2 Employment during Apartheid Just like education, the labour market became a sector for which new legislation was implemented to fit the racial vision of the National Party. In 1956, the Industrial Conciliation Act was passed, which segregated the labour market significantly (Mariotti 2009, 5). This act gave certain employers’ organisations and trade unions the power to negotiate positions and salaries for each racial group. Since the act also segregated the unions and banned any Black representatives, White unions could therefore legally negotiate high paying positions that required certain levels of skills for themselves, while occupations with lower salaries and required skills were given to Black and Coloured workers who were unable to negotiate their salaries or positions (Ibid; Hepple 1971, 51). This created layers of different worker protections where Whites had the best union rights and access to the highest paying jobs, Coloured workers had fewer rights, options and often lower pay than Whites, while Black workers were inferior to both Whites and Coloureds in rights, opportunities and salary (Hepple 1971, 11). In addition, the right to strike was generally limited and completely forbidden for Blacks, who also received higher penalty fees if caught striking illegally (Ibid, 28-29). The Industrial Conciliation Act was later expanded, giving the Minister of Labour the power to reserve any industry or trade occupation for a certain race. This extension, called “job reservation”, lead to substantial racial inequalities and caused many Coloured and Blacks to lose their jobs (Hepple 1963, 6-8). One industry that experienced major changes due to this extension was the clothing industry which in 1957 was declared a White works only sector, leading to the discharging of around 35 000 Black and Coloured workers (Ibid). This created a huge challenge for the industry who struggled to find White workers to fill its positions, leading to the government to grant a “mass exemption” to allow other races to be employed in the industry. However, they could be fired at any moment if the Minister of Labour found it 10
necessary, which caused severe insecurity for employees that were not White (Ibid). These acts drew the attention of the International Labour Organization in Geneva, who banned South Africa in 1966 (Ibid; ILO 2002). The consequences of the acts, along with other discriminatory legislation, were putting constraints on the South African economy. The labour market started to desegregate in the end of the 1960’s for semi-skilled occupations, but it was not enough and severe economic challenges were putting the economy close to a standstill. Despite this, the government was committed to continue enforcing their acts which were causing a growing frustration for Black and Coloured workers (Mariotti, 2009, 2-3; Pons-Vignon & Anseeuw, 2009, 886). Major strikes forced the government to improve general working conditions and recognise Black worker unions, but it did not stop the unrest. Now legally recognised and more powerful, these unions continued the struggle to fight for equal pay and rights outside the workplace, which played a considerable part to bring down the Apartheid system (Ibid; Klaveren et al 2009, 9). Women of all races faced additional challenges in the labour market due to the strong gender roles that existed in South African society. Employment was, and still is, a source of empowerment for women globally because it brings financial independence, improved self- identity and awareness to have work and income (Nolde 1991, 217). However, societal norms and systematic harassment from partners was a considerable obstacle for earning an income for many, since it was seen as a threat that women could become financially independent (Lenser 2019, 7-8). It could also be seen as irresponsible to be employed, instead of taking care of traditional domestic home duties such as childcare (Nolde 1991, 216; UN 1978, 13). The Apartheid government did little to eliminate these roles or protect women on the labour market, and instead actively worked to maintain them (Lenser 2019, 93). By legalising short maternity leaves, allowing employees to fire pregnant women easily and making abortion practically illegal, female employment was purposely being opposed by the state (Nolde 1991, 209-210). Many Black women were employed as domestic workers, which was a sector that was not regulated by any formal minimum wages. This gave the employer close to full control of wages and working conditions, while the employee had practically no method of negotiating the employment terms (Ibid). Lastly, women were generally receiving lower wages than men. One example is the previously discussed textile industry, where women were paid around 20% less than the national minimum wage (UN 1978, 18). 11
2.2 South Africa, its education and employment system Post-Apartheid 1994 until today This subchapter will focus on the significant shifts and policies in the education sector that occurred after Apartheid, as well as their intentions and implications. In the post-apartheid era, the new ANC governments 12 were tasked with tackling the troubling legacy of systematic discrimination and segregation in the schools and employment sector on the national level. For education, the steps taken included reforming teacher qualifications, updating the school curriculum, desegregating schools and changing the funding system. The steps for both sectors will be discussed below. 2.2.1 The Education system and its current challenges During Apartheid, there was segregated state education for teachers that took place in teacher training colleges. Back then, the race of the teacher determined the workplace as well as the teaching curriculum that matched the state vision for the education for the specific race (Equal Education 2015, 17-25). The new ANC government decided that all the future teachers needed to attain a four-year Bachelor of Education from a University. However, this rapid major shift created some challenges, such as a significant drop in education students (Ibid). In addition, the standards for education students were set on a level where the state hoped they would be, instead of where they currently were, due to unequal education that the students had received previously (Ibid). In the transition of teacher education from teacher training colleges to universities, the lessons and expertise from the previous institutions were not included in the new education, and the funding from the state for the process was inadequate, resulting in insufficient education with fewer graduates before the change (Ibid). Currently, South Africa faces a significant shortage of qualified teachers in its schools, which poses a considerable challenge for schools to provide quality education to its students (Maphalala & Mpofu, 2009). When Apartheid ended in 1994, the new government needed to find a way to desegregate the schools, especially former White schools, and create solutions to fund the schools equally. For the former White schools, there was a fear that less funding would convince economically privileged Whites to form private schools, which would over time outperform the public schools. To avoid the rise of private education, a compromise was made: The School Governing Boards (SGB) of a school could decide to charge school fees instead to get the resources to 12 The ANC have won every national election since 1994, securing a majority of the seats in the South African parliament since Apartheid (IEC, 2020a; IEC, 2020b). In the latest 2019 national election, the ANC received 57.5% of all votes, resulting in 230 parliament seats out of 400 (IEC, 2020b). 12
keep the previous high education quality (Spaull 2019, 5-7). However, a contradictory rule was added that stated that “no learner may be refused admission to a school or discriminated against in any way on the grounds that his or her parent (i) is unable to pay or has not paid the school fees” (Woolman 2009, 29). Unfortunately, this rule did little to exclude non-fee students through different strategies that a SGB could use. These included policies such as only accepting students from specific “feeder zones”, targeting nearby students would likely be able to pay fees since the schools were often located in formerly White areas. Another method was to teach only in Afrikaans or English, and requiring a certain knowledge in the languages from future students to be accepted, creating a language barrier for Black students (Spaull 2019, 8- 10). With the additional fee income, the top schools can afford to pay higher salaries to their staff, getting in return educated and talented teachers and principals who would work in well- resourced schools that are safer due to smaller class size (Equal Education 2015, 106-107). Schools in former Black and Coloured areas usually do not have the option to require fees since families from their feeder areas generally cannot afford them, making them unable to compete with the schools collecting fees. Therefore, these schools have to rely on public funding (Lemon & Battersby-Lennard, 2009, 527). Although schools with higher poverty levels receive higher funding than wealthier schools, the amount is not enough to reduce the current inequalities (Ibid). In 2005, the latest C2005 curriculum was introduced, more commonly known as Outcome- based-education (OBE), replacing school subjects and introducing learning areas instead. This was done through a learner-centred focused pedagogy, introducing a brand-new thinking for the teachers. The idea, in theory, might have been a step in the right direction, but due to several factors, it became an additional burden (Equal education 2015, 25-27). Firstly, the curriculum was drafted and introduced on short notice, leaving the teachers too little time to be introduced and prepare the new thinking (Ibid). Secondly, it failed to consider the unequal capacity of teachers and learners to implement the curriculum. Due to the complex but broad individual- focused content, OBE with its learning outcomes was differently understood and operationalised by teachers (Ibid). Thirdly, since the curriculum required teachers to follow up on the individual learner’s progress, it became an additional burden for teachers, especially in schools with large classes, leaving less time for the actual teaching. Lastly, OBE did not consider the inequalities in the schools regarding access to textbooks, libraries and computer labs, making it impossible for some schools to fulfil some aspects of the curriculum (Ibid). Due to all these factors, OBE became largely a failure and did little to improve pedagogy in the schools. (Ibid; Spaull 2019, 2). 13
On an international level, results from the latest Progress in International Reading Literacy Study (PIRLS) revealed the poor performance of literacy in South African primary schools. The study placed South Africa last out of the 50 countries that participated, finding that almost 8 out of 10 of the fourth-grade students are unable to read at the lowest international standard. (Howie S.J et al 2017, 168-172). The report also found that girls perform substantially better than boys, students coming from schools located in rural areas or township have generally lower literacy, the class size is increasing with an average of 45 students and no significant progress has been made for South Africa since the earlier PIRLS report from 2011 (Ibid). The reading skills are critical for students to advance to higher classes and graduate from secondary school. However, this skill is missing in far too many students and could in the future become a substantial obstacle to overcome for future education and employment opportunities (Ibid). It is also worth mentioning that there are significant differences in literacy performance between the richest 10% of South African schools and the remaining 90%. Figure 1 shows the magnitude of these inequalities: Figure 1: Grade 4 learners who can read at a basic level in any language in percentage by deciles of average school wealth (Decile 1, lowest wealth, Decile 10, highest wealth) Source: Spaull, (2019), 5. Figure 1 shows that schools belonging to decile 1 and 5 generally perform at similar levels, while schools belonging to decile 6-9 have a slightly better performance. However, there is a tremendous difference between schools belonging to decile ten and all the remaining schools, giving their students a substantial advantage over the rest. Since 85% of all White students attend fee-charging schools, they will receive quality education on a level that most other schools cannot compete with. Combining all these factors, it seems that quality education has transferred from a race privilege to class privilege, keeping most of the unequal legacy of Apartheid alive (Spaull 2019, 2-3). 14
Since Apartheid, the education has been improved with more South Africans staying in school longer and graduating from grade 12. However, there are still many who fail to get a Matric certificate, while substantial racial inequalities still exist. Table 3 shows the racial education levels in South Africa: Table 2: Level of education per race in South Africa 1996-2011 in percentage: Level of education attained amongst persons aged 20 or older in South Africa (%) Black Coloured White 1996 2001 2011 1996 2001 2011 1996 2001 2011 Higher 3.6 5.2 8.3 4.9 4.9 7.4 26.8 29.8 36.5 Completed Secondary (Gr 12) 12 16.8 26.9 12.3 18.5 25.2 39.3 40.9 39.5 Some schooling but no Matric pass 60.4 55.8 54.3 72.9 68.3 63.2 32.8 27.9 27 No schooling 24 22.3 10.5 10 8.3 4.2 1.1 1.4 0.6 Source: Christopher, A.J. (2015) page 518. Table 2 shows that racial inequalities still exist on the national level, but it has been steadily improved for all during the observed period. In 2011, the Black population had a slightly higher education than the Coloured population nationally. However, a clear majority still do not graduate from grade 12. The White population have a significantly higher education than the Black and Coloured population, and considerable inequalities are also found in the levels “No schooling” and “Higher”. In 2011, Whites had a more than four-time higher rate of higher education graduates than Blacks and Coloureds in South Africa. 2.2.2 The employment system and its current challenges In 1997, after negotiations between the ANC, the Congress of the South African Trade Unions and the South African Communist Party, the Basic Conditions of Employment Act (BCEA) was born. This legislation gave workers the right to, among other things, a 45-hour workweek, the right to sick leave and 21 days of annual leave. The legislation also gave the minister of labour the power to intervene in negotiations between labour unions and employees if there was a concern that the workers were in an unfavourable position (Pons-vignon & Ward 2009, 886). In addition to the legislation, an employment strategy called “Growth, Employment and Redistribution” (GEAR) was presented a year earlier. This strategy set up goals for the South African economy to create, on average, 270 000 new jobs per year during a four-year period (Oosthuizen & Bhorat 2005, 1). Both GEAR and BCEA were necessary reforms but ultimately 15
fell short in their accomplishments and the increase in employment was slightly over 100 000 jobs per year during the period. Due to the continuous levels of high unemployment, employers have been able to continue with practices that oppress and exploit workers, with the workers receiving little from the government (Pons-vignon & Ward 2009, 895; Ibid). To get the benefits that BCEA outlines, the workers need to have a written official contract, which almost one- third are missing. Even if the contract is in order, benefits such as paid leave and maternity leave are often left out. The more vulnerable a worker is, the less likely it is that the employer grants these benefits and rights. For example, 78% of the domestic workers reported that their legislative working benefits are missing, an industry where 9/10 are women (Hlangani SA, 3; Klaveren et al. 2009, 22). Women working in other industries and in society at large are often victims of harassment and violence. A survey from the agency Columinate from 2018 found that close to one-third of its female respondents reported being subject to sexual harassment at work, while the figure for men was almost one-fifth (Smith, 2018). Gender-based violence is one of the most common types of discrimination in South Africa, present among all population groups (Álvarez & Lally 2014, 9). Amnesty International estimates that one woman is killed every sixth hour by her partner, and around 45 000 cases of rape were reported each year to the South African Police Service between 2008-2018 (Wilkinson 2016; Amnesty International 2005, 23). The HIV rate for women is twice as high as it is for men and South Africa, with the highest HIV rate in the world at 20% of all the global HIV cases (Álvarez & Lally 2014, 9; Alliner & Fleishman 2019). For many families, the cost of child care is a considerable financial burden, meaning that one of the parents usually stay home to look after the children. In South Africa, this task mainly falls on women which hurts them in their professional career, resulting in higher income inequalities between women and men and lower likelihood for labour market participation for women (Ruzicka 2018; Ferrant et al. 2014, 1-7). In addition, a recent labour survey found that many women on maternity leave do not receive the financial support from their employers that they are entitled to, and over 90% of the female respondents said that their partners do not help in taking care of the children (TimesLIVE, 2019). Strong societal norms also place burdens on women to fulfil their reproductive and domestic roles (Ibid; Ferrant et al. 2014, 1-7). In 2018, president Ramaphosa presented the national development plan for the South African economy to create 275 000 new jobs annually to combat the high levels of unemployment (Tshwane, 2018). During that time, the economy struggled heavily in balancing job creation and job losses. Statistics South Africa reported a decline of 135 000 jobs during 2017, while 16
there was an increase of 45 000 individuals in the workforce 13. These numbers combined are creating challenges for lowering the unemployment rate, a rate that has long been stable. Figure 2 presents the unemployment rate during the majority of the post-apartheid period: Figure 2: Unemployment rate in South Africa 1998-2018 in percentage 35% 33,3% 30% 26,9% 25% 25,0% 24,9% 20% 22,4% 15% 10% 5% 0% 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 Source: International Labour Organization, ILOSTAT database (2021) When looking at Figure 2, one can observe that the unemployment rate in South Africa has seen a minor increase with almost two percentage points. During 1998-2002, the rate rose to one- third of the workforce until it started decreasing, and then in 2008 when the trend shifted again. From 2008 onward, it was slowly increasing to 26.9% in 2018. However, when looking at the unemployment rate by gender and race, there are some substantial differences, as demonstrated in Table 4: 13 These numbers are the sum of all quarterly data from the Quarterly Labour Survey and the Quarterly Employment Statistics from 2017 (Statistics SA 2017a) (Statistics SA, 2017b, 1) (Statistics SA, 2017c) (Statistics SA, 2017d) (Statistics SA, 2017e) (Statistics SA, 2017f) (Statistics SA, 2017g). 17
Table 3: Post-Apartheid unemployment rate by gender and race Differences in the unemployment rate 1995-2011 in percentage Black Coloured White 1995 2005 2011 1995 2005 2011 1995 2005 2011 Unemployment Women: 47.6 52.9 52.9 28.4 36.6 34.4 8.7 10.8 12.5 Unemployment Men: 29.5 36.7 39.8 17.9 25.8 28.6 3.7 5.5 8.1 Unemployment in total: 37.8 44.8 46.3 22.8 31.0 31.5 5.8 7.9 10.2 Source: van der Westhuizen et al. (2007) p. 22 & Statistics South Africa (2012), 51-52. Table 3 shows substantial racial differences in the unemployment rates, which have risen for all racial groups during the period of 1995-2011. Unemployment for the Black population group is the highest, close to 50% in 2011, while the Coloured group have gone from nearly one-fourth to almost one-third. The White population group has the lowest level of unemployment but has seen the largest unemployment increase during this period. Regardless, it is much lower than the unemployment of Coloureds and Blacks. When observing the differences by gender, women of all races have a higher unemployment rate than men. However, the gender gap has decreased slightly, but this is because men’s unemployment rate has risen more than women’s. Over half of Black women were unemployed in 2011, while the rate for Coloured women was slightly higher than one-third. For White women in the same year, only one in eight were unemployed, but their rate rose between 2005-2011 while the Black and Coloured rates were stable or slightly lower. A possible reason for the overall rise in unemployment between 1995-2011 is a combination of a slowly growing economy unable to create a sufficient number of jobs and a rapid shift in the labour market with a growing demand for high-skilled workers (Asmal et al 2020, 34). It is expected that in the next decade, sectors that requires semi-skilled or high-skilled labour will produce an overwhelming majority of the new jobs in South Africa (Ibid, 38). Here, racial inequalities in the level of schooling become a challenge, since most of the Black and Coloured working populations have not graduated from secondary school, which could create a skill shortage in the labour market and difficulties for many individuals to find employment (Statistics South Africa, 2021). 18
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