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07 April 2021 | Story Rulanzen Martin | Photo istock
Social media discussions have provided a lens on how people are dealing with and talking about COVID-19. This has given risk communication new insights into online audiences.

The lingering effects of the COVID-19 pandemic on society presented the experts at the University of the Free State (UFS) with an opportunity – to conduct a scientific study by analysing our social media data in order to assist government health communicators to reflect on their communication strategies and, in turn, gain new perspectives from the general social media user (public). 

The study – led by Herkulaas Combrink, a data and medical scientist in the UFS initiative for Digital Futures, and Prof. Katinka de Wet, medical sociologist in both the UFS initiative for Digital Futures and the Department of Sociology at the UFS – uses “real-time snapshots of online interactions as a means to augment more traditional methods of conducting research on a given topic; in this case, responses to COVID-19”, said Combrink. 

The findings and ongoing work of the research project were presented to the Parliamentary Portfolio Committee on Communications. “During this meeting, critical engagement took place around risk communication and areas where we can strengthen this research,” said Combrink. Several international influential risk communicators on the African continent were present. 

Digital science at the forefront 

The opportunity to pursue this study was the result of Herkulaas Combrink’s secondment to the Free State Department of Health (FSDOH), where he identified the need to develop additional analytics for the already existing processes in risk communication in order to assist various communication strategies linked to developments regarding COVID-19 infections.  

Combrink also said “because the analysis of social media data does not normally form part of the traditional toolbox of investigation for this type of work, this novel application serves as an addition to the already existing communication analytics”. This research project will strengthen the level of cooperation between the UFS, other institutions, and the FSDOH to “synergistically strengthen communication strategies in relation to COVID-19”. 

By looking at how new knowledge around COVID-19 is developing the method (of analysing social media data), is to stay abreast of trending and burning issues on open-source social media platforms. “It is important to conduct this work using well-defined scientific methodology to extract, explore, analyse, and report on the data,” Combrink says. 

Given the rapidity with which new knowledge around COVID-19 is developing all over the globe, this method lends itself to staying abreast of emergent and burning issues that are trending on open-source social media sites. 

Variety of stakeholders needed

The magnitude of the research study required the involvement of stakeholders from different institutions. “A variety of stakeholders from different institutions are needed not only to contextualise the data, but also to provide social and technical input to solve the problem,” Combrink said.  

Experts included in the project are Dr Vukosi Marivate from the Department of Computer Science at the University of Pretoria, Dr Ming-Han Mothloung from the Department of Community Health at the UFS and the FSDOH, and Dr Samuel Mokoena, Priscilla Monyobo, Mondli Mvambi, and Elke de Witt from the FSDOH. “Without this core team, the work would not have been contextually relevant,” Combrink said. 

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Inaugural lecture: Prof. Phillipe Burger
2007-11-26

 

Attending the lecture were, from the left: Prof. Tienie Crous (Dean of the Faculty of Economic and Management Sciences at the UFS), Prof. Phillipe Burger (Departmental Chairperson of the Department of Economics at the UFS), and Prof. Frederick Fourie (Rector and Vice-Chancellor of the UFS).
Photo: Stephen Collet

 
A summary of an inaugural lecture presented by Prof. Phillipe Burger on the topic: “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

South African business cycle shows reduction in volatility

Better monetary policy and improvements in the financial sector that place less liquidity constraints on individuals is one of the main reasons for the reduction in the volatility of the South African economy. The improvement in access to the financial sector also enables individuals to manage their debt better.

These are some of the findings in an analysis on the volatility of the South African business cycle done by Prof. Philippe Burger, Departmental Chairperson of the University of the Free State’s (UFS) Department of Economics.

Prof. Burger delivered his inaugural lecture last night (22 November 2007) on the Main Campus in Bloemfontein on the topic “The ups and downs of the South African Economy: Rough seas or smooth sailing?”

In his lecture, Prof. Burger emphasised a few key aspects of the South African business cycle and indicated how it changed during the periods 1960-1976, 1976-1994 en 1994-2006.

With the Gross Domestic Product (GDP) as an indicator of the business cycle, the analysis identified the variables that showed the highest correlation with the GDP. During the periods 1976-1994 and 1994-2006, these included durable consumption, manufacturing investment, private sector investment, as well as investment in machinery and non-residential buildings. Other variables that also show a high correlation with the GDP are imports, non-durable consumption, investment in the financial services sector, investment by general government, as well as investment in residential buildings.

Prof. Burger’s analysis also shows that changes in durable consumption, investment in the manufacturing sector, investment in the private sector, as well as investment in non-residential buildings preceded changes in the GDP. If changes in a variable such as durable consumption precede changes in the GDP, it is an indication that durable consumption is one of the drivers of the business cycle. The up or down swing of durable consumption may, in other words, just as well contribute to an up or down swing in the business cycle.

A surprising finding of the analysis is the particularly strong role durable consumption has played in the business cycle since 1994. This finding is especially surprising due to the fact that durable consumption only constitutes about 12% of the total household consumption.

A further surprising finding is the particularly small role exports have been playing since 1960 as a driver of the business cycle. In South Africa it is still generally accepted that exports are one of the most important drivers of the business cycle. It is generally accepted that, should the business cycles of South Africa’s most important trade partners show an upward phase; these partners will purchase more from South Africa. This increase in exports will contribute to the South African economy moving upward. Prof. Burger’s analyses shows, however, that exports have generally never fulfil this role.

Over and above the identification of the drivers of the South African business cycle, Prof. Burger’s analysis also investigated the volatility of the business cycle.

When the periods 1976-1994 and 1994-2006 are compared, the analysis shows that the volatility of the business cycle has reduced since 1994 with more than half. The reduction in volatility can be traced to the reduction in the volatility of household consumption (especially durables and services), as well as a reduction in the volatility of investment in machinery, non-residential buildings and transport equipment. The last three coincide with the general reduction in the volatility of investment in the manufacturing sector. Investment in sectors such as electricity and transport (not to be confused with investment in transport equipment by various sectors) which are strongly dominated by the government, did not contribute to the decrease in volatility.

In his analysis, Prof. Burger supplies reasons for the reduction in volatility. One of the explanations is the reduction in the shocks affecting the economy – especially in the South African context. Another explanation is the application of an improved monetary policy by the South African Reserve Bank since the mid 1990’s. A third explanation is the better access to liquidity and credit since the mid 1990’s, which enables the better management of household finance and the absorption of financial shocks.

A further reason which contributed to the reduction in volatility in countries such as the United States of America’s business cycle is better inventory management. While the volatility of inventory in South Africa has also reduced there is, according to Prof. Burger, little proof that better inventory management contributed to the reduction in volatility of the GDP.

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