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Published in: Economic Change and Restructuring 1-2/2006

01-06-2006

The R&D performance of the South African manufacturing sector, 1970–1993

Authors: Johannes Fedderke, Stefan Schirmer

Published in: Economic Change and Restructuring | Issue 1-2/2006

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Abstract

In this article we undertake a detailed exploration of the research and development activities in one particular middle-income country. We explore what the data from R&D surveys can tell us about the levels, the determinants and the effectiveness of R&D in the manufacturing sector. We point to some of the broader factors that may have influenced South Africa’s drive to improve the technological capacity of its manufacturing sector, but we mostly focus on those issues associated directly with R&D. We show that the degree of interaction between the different domains of R&D activity, business, government and the tertiary sector has been weak, and that the possibility of positive spill-overs between these domains has not been fully exploited. In addition, little or no policy intervention designed to stimulate R&D activity by industry has been deployed in South Africa. We find that South African R&D activity has mainly been reactive in character and suggest that this lies at the heart of South Africa’s mixed R&D performance in relation to other developing countries.

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Footnotes
1
All expenditures reported in the paper are in real terms, unless otherwise indicated.
 
2
See for example Non-ferrous metals and other transport equipment in Table 2.
 
3
See also the discussion in Pesaran (1997).
 
4
We obtain this data from Fedderke (2002).
 
5
We obtain this measure from Edwards and Golub (2002). Higher is less competitive on this measure.
 
6
We employ the Rosenbluth and Gini concentration measures reported in Fedderke and Szalontai (2005).
 
7
Some authors suggest that high levels of competition increase risk and decrease the capacity of firms, thereby making it difficult to invest in R&D. This, however, has to be put up against the reality that highly concentrated sectors may feel no competitive pressure to enhance their technological efficiency.
 
8
As noted in Fedderke and Szalontai (2005), the relationship between the Gini and the Rosenbluth measures is strongly non-linear. Hence the difference in results to emerge from the two concentration measures.
 
9
Section 4 of the paper provides a comprehensive overview of the PSS F-test.
 
10
Those sectors that report statistically significant association for total investment, all also report significant associations for investment in machinery and equipment. For this reason we focus on investment in machinery and equipment rather than total investment expenditure.
 
11
Fedderke (2005) provides an analysis of the interaction between R&D expenditure by the private sector and TFP. Both the modeling and interpretation issues are intricate, and we leave such more detailed analysis for subsequent research.
 
12
See Pesaran et al (1996) and Pesaran (1997) for a full discussion of the technique.
 
13
This would follow only if employment growth is anticipated to lead to unacceptable wage and industrial action costs, and cannot be asserted as anything but an hypothesis in the weakest possible form.
 
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Metadata
Title
The R&D performance of the South African manufacturing sector, 1970–1993
Authors
Johannes Fedderke
Stefan Schirmer
Publication date
01-06-2006
Publisher
Springer US
Published in
Economic Change and Restructuring / Issue 1-2/2006
Print ISSN: 1573-9414
Electronic ISSN: 1574-0277
DOI
https://doi.org/10.1007/s10644-007-9023-3

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