scholarly journals The South African wildlife ranching sector: A Social Accounting Matrix Leontief multiplier analysis

2014 ◽  
Vol 14 (1) ◽  
Author(s):  
Philippus C. Cloete ◽  
Riaan Rosouw
Keyword(s):  
Land Use ◽  
South African ◽  
Value Added ◽  
Economic Research ◽  
Social Accounting Matrix ◽  
The South ◽  
Social Accounting ◽  
Multiplier Analysis ◽  
Economic Contribution ◽  
The Impact

Orientation: There is startlingly little economic research on the South African wildlife sector which contributes toward disputes regarding the economic contribution of the sector.Research purpose: The purpose of this article is to put into context the relative economic contribution of the wildlife ranching sector, as opposed to other land-use options in South Africa.Motivation for the study: Growth in the wildlife ranching sector at the cost of other traditional farming practices resulted in disagreements amongst various role players about the impact thereof on the national economy. The controversy can most probably be explained by different beliefs, coupled with the lack of a proper understanding and quantification of the wildlife ranching sector’s contribution toward the economy.Research methodology: The study employed a Social Accounting Matrix-based Leontief multiplier analysis for South Africa.Main findings: Results from the multiplier analysis revealed that developments within the wildlife ranching sector are likely to make a relatively more superior contribution towards the economy, especially when compared to similar land-use options such as extensive livestock production.Practical/managerial implications: It has been acknowledged by both academia and private sector that a major need exists for more research on the South African wildlife ranching industry, specifically looking at issues such as the industries, economic and social contributions, potentials and constraints. The research, therefore, contributes toward the depth of economic information and research regarding the South African wildlife sector.Contribution/value added: The research provides valuable information in dealing with the ‘popular belief’, especially amongst some of South Africa’s decision makers, namely, that growth in the wildlife ranching sector is not or does not have the ability to contribute significantly toward economic and socioeconomic factors.

THE IMPACT OF THE CHINESE TEXTILE IMPORTS ON EMPLOYMENT AND VALUE ADDED IN THE TEXTILE INDUSTRY OF THE SOUTH AFRICAN ECONOMY

2019 ◽  
Vol 19 (02) ◽  
pp. 1950008
Author(s):  
LUMENGO BONGA-BONGA ◽  
MDUDUZI BIYASE
Keyword(s):  
South African ◽  
Textile Industry ◽  
Value Added ◽  
Counterfactual Analysis ◽  
The South ◽  
Total Employment ◽  
Vector Autoregressive ◽  
The Impact ◽  
The Empirical Analysis ◽  
Sign Restriction

With the increased trade linkage between China and African economies, this paper endeavours to assess the dynamic impacts of Chinese textile imports on employment and value added in the South African textile industry. This paper makes use of the structural vector autoregressive (SVAR) methodology with sign restriction. Moreover, based on this methodology, this paper conducts a counterfactual analysis to uncover what would have happened to employment and value added trends in the South African textile industry in the absence of trade with China. The results of the empirical analysis show that total employment responds negatively to shocks to import from China. Moreover, the results of the counterfactual analysis show that the South African economy could perform better without textile imports from China.

scholarly journals The impact of employee remuneration inequalities on employee productivity in the South African workplace

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Gerhardus Van Zyl
Keyword(s):  
Panel Data ◽  
South African ◽  
Manufacturing Industry ◽  
Negative Impact ◽  
Positive Impact ◽  
Value Added ◽  
Employee Productivity ◽  
The South ◽  
Ongoing Research ◽  
The Impact

Orientation: This article is part of an ongoing research project on various aspects of employee productivity in the South African workplace.Research purpose: The aim of this article is to determine firm-based employee productivity impacts as a result of employee remuneration inequalities (excess-remuneration and under-remuneration) in the South African workplace.Motivation for the study: The study focuses on understanding the impact and magnitude of employee remuneration inequalities on employee productivity in a unionised South African workplace.Research design: The article adopts two distinct estimation models. The aim of the additive multivariate linear estimation model is to determine the sign and the significance of the impact of both under- and excess-remuneration levels on employee productivity when employee characteristics such as levels of training, work experience and managerial involvement are considered. The second model is a fixed-effect panel data estimation where the full sample set of the relevant firm-based data is used. The aim of the panel data estimations is to estimate the robustness of the additive multivariate linear estimates. The manufacturing industry of Gauteng has been chosen as the case study, given the importance of this industry, in the gross geographical product of Gauteng province and the availability of firm-based data.Main findings: Estimation results indicate a strong and significant negative impact of under-remuneration on employee productivity levels. Excess-remuneration levels have a small positive impact on employee productivity levels.Practical/managerial implications: The estimations indicate the necessity to eliminate remuneration inequalities and opt for equalised remuneration structures for similar occupations in the market to enhance employee productivity levels.Contribution/value-added: The study contributes to our understanding of the impact of remuneration inequalities for similar occupations on employee productivity.

scholarly journals Projectification in the South African mining industry

2021 ◽  
Vol 121 (5) ◽  
Author(s):  
W.A. Smith ◽  
M.C. Bekker ◽  
C. Marnewick
Keyword(s):  
Project Management ◽  
South African ◽  
Mining Industry ◽  
Value Added ◽  
Point Of View ◽  
Project Work ◽  
The South ◽  
Project Management Office ◽  
Mining Projects ◽  
The Impact

SYNOPSIS Projects or project-orientated approaches have become a common form of work in nearly all sectors of economies. This has led to concepts such as 'projectified' and 'project orientated' organizations. By defining projectification of a company, industry, or economy as the share of project work in total work, one can reasonably determine the impact that project management, and by default projectification, has had on that company, industry, or economy in terms of staff optimization and allocation. This paper presents the results for such a projectification study of the South African mining industry. This sector has long been a significant contributor to the country's economy from a gross value added (GVA) and employment point of view. Understanding the impact of projectification and the project management way of work on this industry may potentially add significant value to both the mining and project management knowledge areas. We show that although the mining industry is considered by some to operate in archaic ways, the level of projectification has increased over time, and now represents approximately one third of all work conducted. Keywords: rojectification, mining projects, project management, project management office.

scholarly journals CONSTRUCTING A SOCIAL ACCOUNTING MATRIX TO ADDRESS INCOME DISTRIBUTION ISSUES IN MALAYSIA

2017 ◽  
Author(s):  
Masoud Yahoo ◽  
Zakariah A. Rashid ◽  
Mohammad Mahdi Kiaeeha ◽  
Fatemeh Chatri
Keyword(s):  
Income Distribution ◽  
Aggregate Demand ◽  
Government Expenditure ◽  
Social Accounting Matrix ◽  
Economic Sectors ◽  
Social Accounting ◽  
Multiplier Analysis ◽  
The Social ◽  
The Government ◽  
The Impact

The Malaysian economy has undergone sound growth over the past three decades. During the 1990s, the government designed a vision to become a high-income developed nation by 2020. Strengthening aggregate demand within a developing economy such as Malaysia’s is critical for achieving this target. In quantifying the impact of such measures economists have employed the social accounting matrix as an analytical tool. The challenge associated with the construction of a social accounting matrix for Malaysia, especially when up-to-date databases are not readily available, is the main issue addressed by this paper. The constructed matrix can provide an updated country-wide data source for use in policy analysis and as a database for macroeconomic modelling purposes. The applied database investigates the key economic sectors contributing to Malaysia’s economic growth and income distribution between three household types. This paper presents the first attempt in this direction employing recently published input-output tables and complemented with updated data from different sources. Keywords: Social Accounting Matrix, Government expenditure, Income distribution, Multiplier analysis, Malaysia.

The impact of climate temperature on counts, recovery, and death rates due to SARS-CoV-2 in South Africa. (Preprint)

2020 ◽  
Author(s):  
Neven Chetty ◽  
Bamise Adeleye ◽  
Abiola Olawale Ilori
Keyword(s):  
South Africa ◽  
South African ◽  
Death Rate ◽  
Western Cape ◽  
Warm Climate ◽  
The South ◽  
Recovery Rates ◽  
Death Rates ◽  
Online Resource ◽  
The Impact

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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