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Adcorp Employment Index 2013 Labour Market Update

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Adcorp Employment Index

2013 Labour Market Update

Unemployment remains SA’s major challenge

• One of post-apartheid’s greatest disappointments is the economy’s failure to create jobs – 13% unemployment in 1994 to 37% currently

• Official labour force size: 17.4 million of which 13 million formally employed• 4.4 million South Africans are currently unemployed• 2.0 million permanently discouraged about their prospects of finding work• 2.1 million people underemployed (Stats SA)

• 2.7 million (61%) of those officially unemployed have been out of work for more than a year• Nearly half (46%) of the economically active population is idle, with a staggering

proportion (74%) of these under the age of 24• By any measure, unemployment is easily South Africa’s most pressing

socioeconomic problem• Who are the unemployed?

• Youth, black African, never worked before

Real wages in South Africa

0

20

40

60

80

100

120

140

1970 1976 1982 1988 1994 2000 2006 2012

Rea

l wag

es, 1

96

0s=

10

0

Note: * After-inflation wages in the non-agricultural private sector. Source: South African Reserve Bank (2012).

Labour productivity in South Africa

0

20

40

60

80

100

120

140

1967 1973 1979 1985 1991 1997 2003 2009

Lab

ou

r p

rod

uct

ivit

y, 1

96

0s=

10

0

Note: * The marginal productivity of labour, after removing the effect of capital equipment, machinery and other technologies. Source: Statistics South Africa (2012).

Economic activity and employment

Data sources: South African Reserve Bank, Statistics SA.

50

100

150

200

250

300

350

400

450

0

100

200

300

400

500

600

700

800

19

40

19

44

19

48

19

52

19

56

19

60

19

64

19

68

19

72

19

76

19

80

19

84

19

88

19

92

19

96

20

00

20

04

20

08

Tota

l No

n-A

gric

ult

ura

l Em

plo

yme

nt

(19

40

-19

44

=1

00

)

Eco

no

mic

Act

ivit

y (G

ross

Do

me

stic

Pro

du

ct a

t m

arke

t p

rice

s, c

on

stan

t 2

00

5

pri

ces,

19

40

-19

44

=1

00

)

Economic activity

Employment

Labour vs. capital

Usage of labour and capital

Data sources: South African Reserve Bank, Statistics SA.

0

100

200

300

400

500

600

700

800

900

19

62

19

65

19

68

19

71

19

74

19

77

19

80

19

83

19

86

19

89

19

92

19

95

19

98

20

01

20

04

20

07

20

10

Usage of capital

Usage of labour

Labour vs. capital productivity

Labour productivity

Data sources: South African Reserve Bank, Statistics SA. Data sources: South African Reserve Bank, Statistics SA.

Capital productivity

0.10

0.74

0.31

-0.08-0.2

-0.1

0.0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

1970s 1980s 1990s 2000s

Per

cen

t in

crea

se in

ou

tpu

t d

ue

to a

un

it

per

cen

t in

crea

se in

lab

ou

r in

pu

t

Labour productivity

0.150.14

0.20

0.44

0.0

0.1

0.1

0.2

0.2

0.3

0.3

0.4

0.4

0.5

0.5

1970s 1980s 1990s 2000s

Per

cen

t in

crea

se in

ou

tpu

t d

ue

to a

un

it

per

cen

t in

crea

se in

cap

ital

inp

ut

Capital productivity

Adcorp Employment Index

Adcorp Employment Index

Data source: Adcorp Analytics.

80

85

90

95

100

105

110

Ad

corp

Em

plo

yme

nt

Ind

ex

(20

05

=10

0)

Typical and atypical employment

Typical employment

Data source: Adcorp Analytics. Data source: Adcorp Analytics.

Atypical employment

80

85

90

95

100

105

110

Per

man

ent

emp

loym

ent

(20

05

=10

0)

0

20

40

60

80

100

120

140

160

180

Tem

po

rary

em

plo

ymen

t (2

00

5=1

00

)

Declining union membership

Unionization rate

Data source: Statistics SA. Data source: Statistics SA.

Unionization rate by sector

26%

27%

28%

29%

30%

31%

32%

33%

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

Unionization rate (percentage of workforce unionized)

4.4%

80.7%

33.6%

55.2%

11.3%19.2%

36.7%

19.8%

59.5%

0.6%0%

10%20%30%40%50%60%70%80%90%

Agr

icu

ltu

re, h

un

tin

g,fo

rest

ry a

nd

fis

hin

g

Min

ing

and

qu

arry

ing

Man

ufa

ctu

rin

g

Elec

tric

ity,

gas

an

dw

ate

r su

pp

ly

Co

nst

ruct

ion

Wh

ole

sale

an

d r

etai

ltr

ade

Tran

spo

rt, s

tora

gean

d c

om

mu

nic

atio

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Fin

anci

alin

term

edia

tio

n,…

Co

mm

un

ity,

so

cial

and

pe

rso

nal

se

rvic

es

Pri

vate

ho

use

ho

lds

Unionization rate per sector

Strikes and intimidation

Data source: Statistics SA. Data source: Statistics SA.

Strike participation rate Intimidation-related absenteeism

0%

1%

2%

3%

4%

5%

6%

7%

8%

9%

10%

2006 2007 2008 2009 2010 2011

Strike participation rate (% of union members)

28 405

77 259

52 832

135 304

0

20 000

40 000

60 000

80 000

100 000

120 000

140 000

160 000

2008 2009 2010 2011

No. citing violence, unrest orintimidation as the primaryreason for not workingduring the year

Skills shortages

Skills shortage by occupation

Data source: Adcorp Analytics.

Data source: Adcorp Analytics.

Skilled workers’ remuneration

Occupation Skills

shortage (000s)*

Manager 216.2

Professional 178.4

Technician 432.1

Clerk 86.6

Sales and service worker 104.3

Skilled agriculture 3.1

Craft and related trade 65.5

Plant and machine operator 72.0

Elementary worker -967.6

Domestic worker -247.4

Total -56.8R 0

R 50 000

R 100 000

R 150 000

R 200 000

R 250 000

R 300 000

R 350 000

R 400 000

R 450 000

R 500 000

19

97

19

98

19

99

20

00

20

01

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

Average after-inflation remuneration -high-skilled workers (Rands)

Immigrations Act (2002)

Affirmative action

Number of high-income Blacks

Data source: Statistics SA. Data source: Statistics SA.

Average Black income

0

200 000

400 000

600 000

800 000

1 000 000

1 200 000

1 400 000

20

00

20

01

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

20

11

Number of high-income black South Africans (number earning more than the average white income)

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

20

00

20

01

20

02

20

03

20

04

20

05

20

06

20

07

20

08

20

09

20

10

20

11

Average black income (percentage of average white income)

The trouble with Statistics SA’s estimates

Variable

Statistics SA estimate (QLFS

Q4 2011)Actual/verified

figure Source for actual/verified figureUndercount

(percent)

No. of taxpayers (individuals and businesses) 7 263 092 7 998 794 SA Revenue Service Tax Statistics 2011 9.2%

No. of business owners 1 969 767 5 579 767 The Business Trust (2011) 64.7%

Net new business taxpayers 354 694 – SARS Tax Amnesty 2003-2010 17.1%

Net new individual taxpayers 2 512 397 – SARS Tax Amnesty 2003-2010 42.2%

No. of businesses registered for VAT (active businesses only) 574 928 664 267 SA Revenue Service Tax Statistics 2011 13.4%

Percent of employees reporting PAYE/SITE deductions by their employers 57.0% 70.0% SA Revenue Service Tax Statistics 2011 13.0%

Percent of employees reporting UIF deductions by their employers 58.0% 77.4% SA Revenue Service Tax Statistics 2011 19.4%

No. of individual UIF contributors 6 602 197 7 919 290 Unemployment Insurance Fund Annual Report 2011 16.6%

No. of UIF recipients 80 577 183 040 Unemployment Insurance Fund Annual Report 2011 56.0%

No. of medical aid or health insurance principal members 3 712 168 3 612 062 Council for Medical Schemes Annual Report 2011 -2.8%

Compensation of employees (R millions) 1 066 370 1 317 655 Statistics SA GDP Q4 2011 19.1%

No. reporting did not know/specify or refused to disclose income 1 045 730 – Statistics SA QLFS Q4 2011 23.7%

No. receiving wage increments in line with Bargaining Council agreements 1 035 320 1 765 230 National Association of Bargaining Councils (2011) 41.3%

No. receiving social grants (old age, veteran, child support, etc.) 11 500 132 15 028 969 SA Social Security Agency Statistical Report No. 41 (p. 8) 23.5%

No. underemployed (vs. no. willing to work additional hours/do extra work) 524 998 2 051 894 Statistics SA QLFS Q4 2011 74.4%

Average undercount (percent) 28.7%

Data sources: Statistics SA Quarterly Labour Force Survey (2001-2011). Other sources as indicated.

Migrating to the informal sector?

Number of people running their own small businesses

Data source: Statistics SA.

0

500 000

1 000 000

1 500 000

2 000 000

2 500 000

3 000 000

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

No. running own business

0

50 000

100 000

150 000

200 000

250 000

300 000

2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011

No. trying to start own business

Data source: Statistics SA.

Number of people trying to start their own businesses

The cash economy

0

50

100

150

200

250

300

350

400

19

70

19

74

19

78

19

82

19

86

19

90

19

94

19

98

20

02

20

06

20

10

Ban

k n

ote

s an

d c

oin

in

cir

cula

tio

n

ou

tsid

e t

he

ban

kin

g sy

ste

m /

Gro

ss

do

me

stic

exp

en

dit

ure

(all

con

stan

t

20

05

pri

ces,

ind

ex

19

70

=1

00

)

Bank notes and coin in circulation

Gross domestic expenditureLabour Relations Act (1995)

Notes and Coin in Circulation vs. Gross Domestic Expenditure

Source: South African Reserve Bank (2011)

The light economy

y = 0.4741x + 8.5126R² = 0.5673

0

2

4

6

8

10

12

-6 -4 -2 0 2 4 6

ln(g

dp

_pe

rcap

_pp

p)

ln(lights)

Data source: Henderson, V., A. Storeygard and D. N. Weil (2011). “A Bright Idea for Measuring Economic Growth”. American Economic Review 101:3, 194-199

0.0

0.2

0.4

0.6

0.8

1.0

1.2

1.4

1.6

0

1 000

2 000

3 000

4 000

5 000

6 000

7 000

8 000

9 000

10 000

1992 1994 1996 1998 2000 2002 2004 2006 2008

Ave

rage

dig

ital

nu

mb

er

GD

P p

er c

apit

a (P

PP

ter

ms)

GDP per capita (PPP terms)

Average digital number

GDP and AVDN for 172 countries South Africa, 1992-2008

Data source: Henderson et al. (op. cit.)