scholarly journals Top incomes in South Africa in the twentieth century

Cliometrica ◽  
2021 ◽  
Author(s):  
Facundo Alvaredo ◽  
A. B. Atkinson

AbstractThere have been important studies of recent income inequality and of poverty in South Africa, but very little is known about the long-run trends over time. There is speculation about the extent of inequality when the Union of South Africa was formed in 1910, but no hard evidence. In this paper, we provide evidence that is partial—being confined to top incomes—but which for the first time shows how the income distribution changed on a (near) annual basis from 1913 onwards. We present estimates of the shares in total income of groups such as the top 1% and the top 0.1%, covering the period from colonial times to the twenty-first century. For a number of years during the apartheid period, we have data classified by race. The estimates for recent years bear out the picture of South Africa as a highly unequal country, but allow this to be placed in historical and international context. The time series presented here will, we hope, provide the basis for detailed investigation of the impact of South African institutions and policies, past and present. But the similarity of the changes over time in top incomes across the four ex-dominions suggests that national developments have to be seen in the light of common global forces.

2019 ◽  
Vol 8 (12) ◽  
pp. 330 ◽  
Author(s):  
Thomas Habanabakize ◽  
Daniel Francois Meyer ◽  
Judit Oláh

Many developing countries are facing high levels of unemployment and most people who are employed are poorly remunerated due to low skills and productivity levels. Although jobs are important, a productive job is even more important, not only for employees, but also for employers. South Africa, being a developing country, is also facing the challenge of dramatically high levels of unemployment. This study’s aim was to examine both the short- and long-term impacts of real wages, labour productivity and investment spending on employment absorption rates in South Africa. To establish the existing relationship between variables, the study applied several econometric approaches, such as an autoregressive distributed lag (ARDL) model, error correction model (ECM) and a Toda–Yamamoto causality analysis on quarterly time series data from 1995Q1 to 2019Q1. The results revealed the existence of both short- and long-run relationships among the variables. While a positive relationship was found between employment absorption, investment spending and labour productivity, it was found that real wages negatively impact on long-run employment absorption rates. Additionally, the short-run analysis indicated that the lagged employment absorption rate influences the current rate of employment. Furthermore, the causality tests indicated that a bi-directional causal relationship exists between employment absorption and investment spending; and a uni-directional relationship between employment and both real wages and labour productivity. Based on the findings, the study recommends increments of investment spending and labour productivity that enables the South African economy to carry out more activities that would require more workers, thereby improving the employment absorption rate. The fact that labour productivity positively impacts the employment absorption rate infers the requirement for quality and skilled workers to be absorbed in the South African labour market. Therefore, labour skills improvements appear to be a prerequisite for productivity enhancement and job creation.


2015 ◽  
Vol 12 (4) ◽  
pp. 699-707
Author(s):  
Handson Banda ◽  
Ireen Choga

One of the most pressing problems facing the South African economy is unemployment, which has been erratic over the past few years. This study examined the impact of economic growth on unemployment, using quarterly time series data for South Africa for the period 1994 to 2012.Johansen Co-integration reflected that there is stable and one significant long run relationship between unemployment and the explanatory variables that is economic growth (GDP), budget deficit (BUG), real effective exchange rate (REER) and labour productivity (LP). The study utilized Vector Error Correction Model (VECM) to determine the effects of macroeconomic variables thus REER, LP, GDP and BUG on unemployment in South Africa. The results of VECM indicated that LP has a negative long run impact on unemployment whilst GDP, BUG and REER have positive impact. The study resulted in the following policy recommendation: South African government should re-direct its spending towards activities that directly and indirectly promote creation of employment and decent jobs; a conducive environment and flexible labour market policies or legislations without impediments to employment creation should be created; and lastly government should prioritise industries that promote labour intensive. All this will help in absorbing large pools of the unemployed population thereby reducing unemployment in South Africa.


2021 ◽  

Maringe ought to be commended for putting together an invaluable contribution to our understanding of research into a complex education system in South Africa. This volume provides a useful foundation to the current state of education quality in South Africa including the impact of interventions. It also brings to the fore challenges still facing education transformation. The evidence presented which, taken together, lays out a coherent view of how improvements could be made. Albert Chanee Head of Planning, Gauteng Department of Education For too long the weight of educational scholarship produced in South Africa has been limited to that simple and standard form called the literature review. Now, for the first time, education researchers are provided with an African-based text on the concepts and methods of conducting systematic reviews. In this exceptional work of editorship, Felix Maringe brings together some of the leading researchers on South African education to model and demonstrate how to review a significant body of research on a chosen topic which is adjudicated strictly on the basis of the quality and efficacy of the evidence in hand. I have no doubt that this remarkable book will become a standard reference for educational researchers in and beyond the African continent. It will also lift the quality of educational inquiry by equipping a new generation of scholars with the capacity for doing evidence-based research that compels the attention of policymakers, planners and practitioners alike. Prof Jonathan Jansen Stellenbosch University


Author(s):  
Roscoe B. Van Wyk ◽  
Cliff S. Dlamini

Background and setting: The global food price surge of 2006 to 2008 has negatively impacted South African households. Rising food prices adversely affect food security in South Africa. The ever-increasing prices for food commodities and lack of access to finance make it very difficult to strengthen food security amongst households in South Africa. Aim: The aim of the study is to examine the impact of food prices on household welfare in South Africa. Additionally, the study attempts to analyse the short- and long-run relationship between food prices and household welfare in South Africa. This is done by determining how real household welfare responds and/or reacts whenever there is a shock in food prices and its fundamental determinants. Finally, the study attempts to distil recommendations toward a conceptual framework for the mitigation of the impact of high food prices on households in South Africa. Method: The Vector Error Correction Modelling (VECM) technique is utilised to estimate a regression model. Results: The results reveal that a 1% increase in food prices would reduce household welfare by 21.3%. The study, therefore, confirms a negative correlation between food prices and welfare. Conclusion: Short-run policy recommendations include: (1) subsidising staple food baskets for households in South Africa, (2) reducing prices of staple foods through the reduction of food tariffs and (3) reducing household expenditure on basic needs through subsidisation. These policy options could lessen the burden on households when there is a rise in the prices of staple food sources and therefore improve household welfare. Long-run policy recommendations include: (1) improving the unemployment rate in South Africa and (2) improving access to finance and credit for South African households. By addressing the rising unemployment rates and improving access to finance and credit in South Africa through job creation initiatives and improving micro-credit strategies, an environment can be created where households improve their disposable income.


2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Melville Saayman ◽  
Peet Van der Merwe ◽  
Riaan Rossouw

Purpose: The purpose of this article is to estimate the economic impact of biltong hunting in South Africa. Problem investigated: Higginbottom (2004), indicate there are no reliable global estimates of the economic impact of wildlife tourism, but one thing is certain, it generates considerable sums of money. This same accounts for South Africa's game industry, especially biltong hunting, where there is little to no information regarding the economic impact. Therefore the question to be investigated was what is the economic impact of biltong hunting in the South African economy. Research methodology: A non-probability method was used and a convenience sample was drawn from all the members (N = 17066) of the South African Hunters and Game Conservation Association (SAHGCA). A pilot study of 87 questionnaires was conducted in August and September 2004 in the North West Province at the Hartbees branch of SAHGCA. For the national survey, the questionnaires were mailed together with the members' monthly magazine (named SA Hunters/Jagters) during July 2005. A total of 1 024 (n) questionnaires were received back. Data was captured in Microsoft™ Excel™ and a Computable General Equilibrium (CGE) modelling approach was thereafter used to determine the economic impact of biltong hunting in the South African economy. Findings/implications: The contribution to real GDP is estimated to be in excess of R6 billion, with thousands of jobs being created by the increase in activities/services. In addition, the related improvements to the infrastructure of the country, especially the transport sector, will benefit productivity in the longer term and so lead to further increases in GDP. Originality: A significant contribution that this article has made is that this is the first time that the economic impact of biltong hunting in South Africa has been determined. It is also the first time that CGE modelling has been completed with regard to research in this sector in South Africa.Conclusion: This supports the opinion that biltong hunting is a viable and important sector of the tourism industry. The results clearly show that more should be done to expand hunting in South Africa as hunting affects, not only the economy, but also the price (and therefore the value) of game.


2014 ◽  
Vol 11 (4) ◽  
pp. 569-578 ◽  
Author(s):  
Emily Nichols ◽  
Andrew Rosenberg ◽  
Akios Majoni ◽  
Samson Mukanjari

This study examines the impact of divestitures (spin offs and sell offs) on shareholder wealth for the parent firms listed on the Johannesburg Stock Exchange over the period 1995-2011. The study also makes a comparison of the wealth created by spin offs versus sells offs. We found significantly negative cumulative abnormal returns over the 250 and 500 days respectively, post-announcement date. This result persisted for the whole sample and for the two subsamples of spin offs and sell offs even after running the test excluding the data during and after the financial crisis of 2008. The results suggest that, in general, divestitures in South Africa destroy shareholder value in the long run and sell offs are a better choice of divestitures compared to spin offsю


2016 ◽  
Vol 13 (2) ◽  
pp. 246-255 ◽  
Author(s):  
Handson Banda ◽  
Hlanganipai Ngirande ◽  
Fortune Hogwe

One of the most pressing problems facing the South African economy is unemployment, which has been erratic over the past few years. This paper analyzed the impact of economic growth on unemployment, using quarterly South African time series data from 1994-2012. The results of Johansen cointegration reflected that a long run equilibrium or relationship exists among the variables. In ascertaining the effects of macroeconomic variables thus REER, LP, GDP and BUG on unemployment in South Africa, the study utilized vector error correction model (VECM). The results of VECM indicated that GDP, BUG and REER have positive long run impact on unemployment whilst LP negatively impact unemployment. The study resulted in the following policy recommendation: South African government should redirect its spending towards activities that directly and indirectly promote creation of employment and decent jobs, a conducive environment and flexible labor market policies or legislations without impediments to employment creation should be created, and lastly government should prioritize industries that promote labor intensive. All this will help in absorbing large pools of the unemployed population thereby reducing unemployment in South Africa


2011 ◽  
Vol 1 (2) ◽  
Author(s):  
Andrea Hill ◽  
Sylvia Poss

The paper addresses the question of reparation in post-apartheid South Africa. The central hypothesis of the paper is that in South Africa current traumas or losses, such as the 2008 xenophobic attacks, may activate a ‘shared unconscious phantasy’ of irreparable damage inflicted by apartheid on the collective psyche of the South African nation which could block constructive engagement and healing. A brief couple therapy intervention by a white therapist with a black couple is used as a ‘microcosm’ to explore this question. The impact of an extreme current loss, when earlier losses have been sustained, is explored. Additionally, the impact of racial difference on the transference and countertransference between the therapist and the couple is explored to illustrate factors complicating the productive grieving and working through of the depressive position towards reparation.


Author(s):  
Jacques de Jongh

Globalisation has had an unprecedented impact on the development and well-being of societies across the globe. Whilst the process has been lauded for bringing about greater trade specialisation and factor mobility many have also come to raise concerns on its impact in the distribution of resources. For South Africa in particular this has been somewhat of a contentious issue given the country's controversial past and idiosyncratic socio-economic structure. Since 1994 though, considerable progress towards its global integration has been made, however this has largely coincided with the establishment of, arguably, the highest levels of income inequality the world has ever seen. This all has raised several questions as to whether a more financially open and technologically integrated economy has induced greater within-country inequality (WCI). This study therefore has the objective to analyse the impact of the various dimensions of globalisation (economic, social and political) on inequality in South Africa. Secondary annual time series from 1990 to 2018 were used sourced from the World Bank Development indicators database, KOF Swiss Economic Institute and the World Inequality database. By using different measures of inequality (Palma ratios and distribution figures), the study employed two ARDL models to test the long-run relationships with the purpose to ensure the robustness of the results. Likewise, two error correction models (ECM) were used to analyse the short-run dynamics between the variables. As a means of identifying the casual effects between the variables, a Toda-Yamamoto granger causality analysis was utilised. Keywords: ARDL, Inequality, Economic Globalisation; Social Globalisation; South Africa


2020 ◽  
Author(s):  
Neven Chetty ◽  
Bamise Adeleye ◽  
Abiola Olawale Ilori

BACKGROUND The impact of climate temperature on the counts (number of positive COVID-19 cases reported), recovery, and death rates of COVID-19 cases in South Africa's nine provinces was investigated. The data for confirmed cases of COVID-19 were collected for March 25 and June 30, 2020 (14 weeks) from South Africa's Government COVID-19 online resource, while the daily provincial climate temperatures were collected from the website of the South African Weather Service. Our result indicates that a higher or lower climate temperature does not prevent or delay the spread and death rates but shows significant positive impacts on the recovery rates of COVID-19 patients. Thus, it indicates that the climate temperature is unlikely to impose a strict limit on the spread of COVID-19. There is no correlation between the cases and death rates, an indicator that no particular temperature range is closely associated with a faster or slower death rate of COVID-19 patients. As evidence from our study, a warm climate temperature can only increase the recovery rate of COVID-19 patients, ultimately impacting the death and active case rates and freeing up resources quicker to enable health facilities to deal with those patients' climbing rates who need treatment. OBJECTIVE This study aims to investigate the impact of climate temperature variation on the counts, recovery, and death rates of COVID-19 cases in all South Africa's provinces. The findings were compared with those of countries with comparable climate temperature values. METHODS The data for confirmed cases of COVID-19 were collected for March 25 and June 30 (14 weeks) for South African provinces, including daily counts, death, and recovery rates. The dates were grouped into two, wherein weeks 1-5 represent the periods of total lockdown to contain the spread of COVID-19 in South Africa. Weeks 6-14 are periods where the lockdown was eased to various levels 4 and 3. The daily information of COVID-19 count, death, and recovery was obtained from South Africa's Government COVID-19 online resource (https://sacoronavirus.co.za). Daily provincial climate temperatures were collected from the website of the South African Weather Service (https://www.weathersa.co.za). The provinces of South Africa are Eastern Cape, Western Cape, Northern Cape, Limpopo, Northwest, Mpumalanga, Free State, KwaZulu-Natal, Western Cape, and Gauteng. Weekly consideration was given to the daily climate temperature (average minimum and maximum). The recorded values were considered, respectively, to be in the ratio of death-to-count (D/C) and recovery-to-count (R/C). Descriptive statistics were performed for all the data collected for this study. The analyses were performed using the Person’s bivariate correlation to analyze the association between climate temperature, death-to-count, and recovery-to-count ratios of COVID-19. RESULTS The results showed that higher climate temperatures aren't essential to avoid the COVID-19 from being spread. The present results conform to the reports that suggested that COVID-19 is unlike the seasonal flu, which does dissipate as the climate temperature rises [17]. Accordingly, the ratio of counts and death-to-count cannot be concluded to be influenced by variations in the climate temperatures within the study areas. CONCLUSIONS The study investigates the impact of climate temperature on the counts, recovery, and death rates of COVID-19 cases in all South Africa's provinces. The findings were compared with those of countries with comparable climate temperatures as South Africa. Our result indicates that a higher or lower climate temperature does not prevent or delay the spread and death rates but shows significant positive impacts on the recovery rates of COVID-19 patients. Warm climate temperatures seem not to restrict the spread of the COVID-19 as the count rate was substantial at every climate temperatures. Thus, it indicates that the climate temperature is unlikely to impose a strict limit on the spread of COVID-19. There is no correlation between the cases and death rates, an indicator that there is no particular temperature range of the climatic conditions closely associated with a faster or slower death rate of COVID-19 patients. However, other shortcomings in this study's process should not be ignored. Some other factors may have contributed to recovery rates, such as the South African government's timely intervention to announce a national lockout at the early stage of the outbreak, the availability of intensive medical care, and social distancing effects. Nevertheless, this study shows that a warm climate temperature can only help COVID-19 patients recover more quickly, thereby having huge impacts on the death and active case rates.


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