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SETP No. 14 The Economic Value of Incremental Employment in the ...

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3.23 <strong>The</strong>re are four possible reasons for <strong>the</strong>se results:<br />

• A small sample. <strong>The</strong> number <strong>of</strong> respondents for each category were:<br />

bricklayers – 2<strong>14</strong>, concrete workers – 17, carpenters – 91, labour – 241,<br />

and semi-skilled labour – 86.<br />

• A wide scatter <strong>in</strong> <strong>the</strong> data. This is evidenced by <strong>the</strong> very high standard<br />

deviations that are probably caused by <strong>the</strong> small sample <strong>of</strong> skilled<br />

workers.<br />

• Wages <strong>in</strong> <strong>the</strong> civil eng<strong>in</strong>eer<strong>in</strong>g <strong>in</strong>dustry be<strong>in</strong>g higher than house<br />

construction such that civil eng<strong>in</strong>eer<strong>in</strong>g labour does earn more house<br />

construction bricklayers.<br />

• <strong>The</strong> fall<strong>in</strong>g real wage for whites and coloureds is presumed to have a<br />

disproportional impact on skilled labour, contribut<strong>in</strong>g to extra deviations <strong>in</strong><br />

<strong>the</strong> sample<br />

<strong>The</strong> 1996 Census<br />

3.24 <strong>The</strong> recent general availability <strong>of</strong> <strong>the</strong> 1996 census allowed for a more reliable<br />

estimate <strong>of</strong> average wages by occupation type. Because <strong>of</strong> <strong>the</strong> very large<br />

sample – 40 million <strong>in</strong> <strong>the</strong>ory but 13 million <strong>in</strong> <strong>the</strong> ‘labour’ portion <strong>of</strong> <strong>the</strong><br />

community pr<strong>of</strong>ile – we expect to capture a more accurate measure <strong>of</strong> salaries<br />

by occupation.<br />

3.25 For <strong>the</strong> purposes <strong>of</strong> this <strong>in</strong>vestigation, <strong>the</strong> occupation categories <strong>of</strong> relevance are<br />

<strong>the</strong> five shown <strong>in</strong> Table 3.9 below – pr<strong>of</strong>essionals, technicians and associated<br />

pr<strong>of</strong>essionals, craft and related workers, plant and mach<strong>in</strong>e operators and<br />

assemblers, and elementary occupations. Of <strong>the</strong>se categories ‘craft and related<br />

workers’ is made up <strong>of</strong> categories 7122 (bricklayers), 7123 (concrete workers)<br />

and 7124 (carpenters) while ‘elementary occupations’ consists <strong>of</strong> 9312<br />

(construction labour) and 9312 (semi-skilled labour). <strong>The</strong> term ‘elementary<br />

occupations’ is used <strong>in</strong> <strong>the</strong> population census and is not a creation <strong>of</strong> this writer.<br />

National Estimates<br />

3.26 In Table 3.9 we show <strong>the</strong> full country results <strong>of</strong> an exam<strong>in</strong>ation <strong>of</strong> <strong>the</strong><br />

occupational structure <strong>of</strong> <strong>the</strong> construction <strong>in</strong>dustry and average salaries. <strong>The</strong> first<br />

column <strong>of</strong> <strong>the</strong> table <strong>in</strong>dicates <strong>the</strong> number <strong>of</strong> workers by occupation <strong>in</strong> <strong>the</strong> census<br />

sample. In <strong>the</strong>ory this sample should represent <strong>the</strong> occupation pr<strong>of</strong>ile <strong>of</strong> <strong>the</strong><br />

<strong>in</strong>dustry. Some concern is expressed at <strong>the</strong> large number <strong>of</strong> ‘craft and related<br />

workers’ relative to ‘elementary occupations’. <strong>The</strong> first impression is that this is<br />

counter <strong>in</strong>tuitive – construction labourers may have responded to <strong>the</strong> census<br />

questionnaire that <strong>the</strong>y are, for example, bricklayers. This k<strong>in</strong>d <strong>of</strong> response is a<br />

common problem with questionnaires. On <strong>the</strong> o<strong>the</strong>r hand Statistics SA has<br />

worked hard to avoid <strong>the</strong>se k<strong>in</strong>d <strong>of</strong> problems and it may be that <strong>the</strong> civil<br />

eng<strong>in</strong>eer<strong>in</strong>g part <strong>of</strong> <strong>the</strong> construction <strong>in</strong>dustry causes <strong>the</strong>se results but that <strong>the</strong><br />

results are correct <strong>in</strong> <strong>the</strong>mselves.<br />

3.27 <strong>The</strong>refore treat<strong>in</strong>g <strong>the</strong> results with due caution, we are able to report that <strong>in</strong> 1996<br />

<strong>the</strong> construction <strong>in</strong>dustry was made up <strong>of</strong> 486,000 workers. Of this 3% are<br />

pr<strong>of</strong>essionals, 4% are technicians, 73% are craft workers, 4% are mach<strong>in</strong>e<br />

operators and 17% are <strong>in</strong> elementary occupations.<br />

<strong>14</strong>

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