Factor Decomposition of Sectoral Growth in South Africa, 1970-2007
Fiona Tregenna
Cambridge Working Papers in Economics from Faculty of Economics, University of Cambridge
Abstract:
Chenery’s factor decomposition method is used to analyse the sources of growth, by sector, in South Africa from 1970 to 2007. Using input-output data, the growth of each sector is decomposed into components associated with export growth; import substitution; growth in domestic demand; and growth in intermediate demand. The results highlight the dependence on domestic demand expansion as a source of growth in the period since 2000, especially for manufacturing. However, subsectors which relied exclusively or primarily on domestic demand expansion generally performed relatively poorly. The technological change component of growth is the only component with a consistently positive and statistically significant correlation with sectoral growth. The only two manufacturing subsectors for which all four components were positive in the period since 2000, were also the two fastest growing subsectors of the whole economy. The analysis also enables a typology of the subsectors of each of manufacturing and services, according to the relative importance of each of the four components.
Keywords: growth; sectors; factor decomposition; South Africa (search for similar items in EconPapers)
JEL-codes: E20 O11 O14 O40 (search for similar items in EconPapers)
Date: 2009-07-30
New Economics Papers: this item is included in nep-afr, nep-eff, nep-fdg and nep-mac
References: Add references at CitEc
Citations:
Downloads: (external link)
https://files.econ.cam.ac.uk/repec/cam/pdf/cwpe0930.pdf
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cam:camdae:0930
Access Statistics for this paper
More papers in Cambridge Working Papers in Economics from Faculty of Economics, University of Cambridge
Bibliographic data for series maintained by Jake Dyer ().