Annual Economic Review of the Agro-processing industry in … · 2017. 10. 11. · The industry...
Transcript of Annual Economic Review of the Agro-processing industry in … · 2017. 10. 11. · The industry...
DIRECTORATE: AGRO-PROCESSING SUPPORT
agriculture,forestry & fisheries
Annual Economic Review of
the Agro-processing industry
in South Africa.
2016 ________________________________________________________________
Volume 3, number 1
i
CONTENTS
LIST OF ACRONYMS ..................................................................................................................................... ii
PREFACE ....................................................................................................................................................... iii
EXECUTIVE SUMMARY ................................................................................................................................ iv
1. INTRODUCTION ....................................................................................................................................... 1
2. OVERVIEW OF THE GLOBAL ECONOMY ............................................................................................. 1
3. THE STATE OF THE DOMESTIC ECONOMY ........................................................................................... 2
4.1 FOOD PRODUCTS ............................................................................................................................. 4
4.2 BEVERAGES ........................................................................................................................................ 8
4.3 TOBACCO ....................................................................................................................................... 13
4.4 TEXTILES ............................................................................................................................................. 16
4.5 WEARING APPAREL ........................................................................................................................ 21
4.7 FOOTWEAR ...................................................................................................................................... 30
4.8 WOOD AND WOOD PRODUCTS ................................................................................................. 34
4.9 PAPER AND PAPER PRODUCTS .................................................................................................... 39
4.10 RUBBER PRODUCTS ...................................................................................................................... 43
4.11 FURNITURE ...................................................................................................................................... 48
5. CONCLUSION ........................................................................................................................................ 52
REFERENCES ............................................................................................................................................... 54
ii
LIST OF ACRONYMS
CPI Consumer Price Index
DAFF Department of Agriculture, Forestry and Fisheries
EU European Union
FAO Food and Agriculture Organization
GDP Gross domestic product
IPAP Industrial Policy Action Plan
IMF International Monetary Fund
NAFTA North American Free Trade Agreement
NESOI Not Elsewhere Specified or Indicated
PPI Producer Price Index
SA South Africa
SADC Southern African Development Community
US United States
iii
PREFACE
The agro-processing industry is among the sectors identified by the Industrial Policy Action
Plan, the New Growth Path and the National Development Plan for its potential to spur
growth and create jobs because of its strong backward linkage with the primary agricultural
sector. DAFF established a Directorate: Agro-processing Support in 2011 to complement the
interventions undertaken by several governmental departments, notably, the Department of
Trade and Industry. One of the main purposes of the directorate is to provide timely and
updated economic information regarding agro-processing in order to monitor the
performance of the sector and provide an insight into the effects of economic policies and
exogenous factors. To achieve this purpose, the directorate has started to publish a regular
annual review of the agro-processing industry.
This publication Annual Economic Review of the Agro-processing Industry in South Africa:
2016 is the sixth annual economic review by the directorate and it evaluates the economic
performance of the 11 divisions within agro-processing during 2016. These divisions, which are
in line with the Standard Industrial Classification, are food products, beverages, tobacco,
textiles, wearing apparel, leather and leather products, footwear, wood and wood products,
paper and paper products, rubber products and furniture. The main economic indicators
reviewed are the changes in the real value added, real output values, real gross fixed
domestic investment, trade balance, capacity utilisation and total employment.
Any comments and suggestions on the content of the publication are most welcome.
Mr Victor Mahlogedi Thindisa
Director: Agro-processing Support
Pretoria
Disclaimer
This document has been compiled by the Department of Agriculture, Forestry and Fisheries and every effort has
been made to ensure the accuracy and thoroughness of the information contained herein and the department
cannot be held responsible for any errors, omissions or inaccuracies in such information and data, whether
inadvertent or otherwise. The Department of Agriculture, Forestry and Fisheries therefore accepts no liability that can
be incurred resulting from the use of this information.
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EXECUTIVE SUMMARY
Growth in the global economy remained subdued in 2016, with main advanced economies
together with emerging markets and developing economies experiencing uneven growth.
During 2016, global growth moderated by 3,1%, with advanced economies growing by 1,7%
while emerging markets and developing economies grew by 4,1%. However, global growth is
projected to grow by 3,5% in 2017. The South African economy grew by 0,3% in 2016,
following a 1,3% growth in 2015.
Real value added of the agro-processing industry remained unchanged in 2016, following a
3,5% growth in 2015. The divisions that showed growth in real value added were: food (0,6%),
tobacco (0,7%), beverages (0,9%), textiles (1,3%) and wood and wood products (3,0%).
However, decline in real value added was recorded in the following divisions: paper and
paper products (0,4%), footwear (1,9%), rubber (2,6%), wearing apparel (5,6%), furniture
(7,3%,) and leather and leather products (9,9%) in 2016.
Real output of the agro-processing industry further decreased by 0,1% during 2016, following
a contraction of 0,1% in 2015. The decrease was recorded in beverages (1,1%), wearing
apparel (9,6%), leather and leather products (8,0%), footwear (5,3%), paper and paper
products (3,5%) and furniture (14,2%). However, real output grew in the following divisions:
textiles (1,6%), food (1,7%), rubber (2,1%), tobacco (3,3%) and wood and wood products
(7,7%).
Real gross fixed investment in the agro-processing industry rebounded by 6,5% in 2016,
following a 13,3% improved negative growth in 2015. Among the divisions that showed an
increase in investment were: wood and wood products (7,1%), food (18,3%), beverages
(21,1%), wearing apparel (24,2%), leather and leather products (29,3%), footwear (29,5%),
furniture (32,3%) and rubber products (143,3). Conversely, divisions that showed a decrease
in investment were: textiles (15,5%), paper and paper products (18,1%) and tobacco (23,6%).
Real exports of aggregate agro-processing products contracted by 0,1% in 2016, following a
moderate growth rate of 1,1% in 2015. Among agro-processing products with an increase
exports were: food (1,3%) beverages (1,7%), textiles (4,9%), paper and paper products (7,0%)
and wood and wood products (10,0%). However, real exports dropped for the following
divisions: tobacco (5,3%), leather and leather products (10,2%), rubber products (14,4%),
footwear (19,1%), furniture (19,2%) and wearing apparel (19,8%).
Real imports of aggregated agro-processing products contracted by 9,4% in 2016, following
a rebound of 6,9% 2015. All agro-processing divisions except tobacco experienced a decline
in imports. Tobacco imports increased by 56,5% in 2016, while imports declined for the
following divisions: food (5,5%), wood and wood products (5,9%), rubber products (7,2%),
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textiles (10,1%), beverages (10,2%), furniture (10,7%), paper and paper products (11,3%),
wearing apparel (15,9%), footwear (20,3%) and leather and leather products (24,6%).
As a result of higher rate of decline in imports relative to exports, the trade surplus of the
agro-processing industry widened from R82 million in 2015 to R9 259 million in 2016. The
divisions that maintained a trade surplus were: paper and paper products (R9 363 million),
beverages (R8 587 million), food (R7 087 million), wood and wood products (R5 371 million),
tobacco (R1 437 million) and leather and leather products (R801 million). Conversely, the
following divisions recorded a trade deficit during 2016: wearing apparel (R8 190 million),
rubber products (R7 029 million), textiles (R4 388 million), footwear (R2 207 million) and
furniture (R1 572 million).
Owing to the further negative decline in agro-processing real output by 0,1% in 2016 as
compared to 0,1% contraction recorded in the previous year, total employment in the
industry contracted by 0,2% in 2016 following a 3,0% rebound in 2015. The industry shed 1 285
jobs in 2016 compared to 16 391 jobs created in 2015. However, formal employment
recorded an improved positive growth of 2,5% as compared to a 1,6% rebound registered in
the previous year, meaning that the formal sector of the agro-processing industry created
11 331 jobs as compared to 6 987 created in the previous year. The divisions that created
jobs were food products (14 751), beverages (1 537), leather and leather products (480),
tobacco (255) and rubber products (73). However, furniture (1 940), paper and paper
products (1 495), wearing apparel (978), footwear (561), wood and wood products (520) and
textiles (272) shed jobs in 2016.
1
1. INTRODUCTION
The global economic growth moderated by 3,1% in 2016, with growth slowing down in both
advanced economies, and emerging markets and developing economies. The overall
moderation in global growth is attributed to, among other factors, current emergence of
inward looking policies, particularly in advanced economies. However, with improvement in
commodities prices, global growth is expected to grow by 3,5% in 2017.
In South Africa, the economic growth in 2016 moderated by 0,3% as compared to growth of
1,3% in the previous year. This annual review examines the economic performance of the
agro-processing industry, which is the main sub-sector in manufacturing, amid moderate
global economic growth and domestic economic growth registered in 2016
This annual review is organised as follows: the next section presents the overview of the
global economy during 2016. Section three provides a summary of the state of the domestic
economy. Section four presents a brief effect of the global and domestic economic on the
11 divisions of the agro-processing industry. The section reviews how the global and domestic
economy in 2016 affected the real value added, real output, gross fixed domestic
investment, trade balance, capacity utilisation and employment level of each division. Lastly
is the conclusion of the review, which is section five.
2. OVERVIEW OF THE GLOBAL ECONOMY
The global economic growth has moderated from 3,4% in 2015 to 3,1% in 2016. The growth in
advanced economies moderated by 1,7% in 2016, following a 2,1% growth in 2015. The
moderate growth in advanced economies was as a consequence of slowing down of
growth in the United States, the Euro Area and Japan. The economic growth in emerging
and developing economies also moderated by 4,1% in 2016 following a 4,2% growth in 2015.
China and India moderated by 6,7% and 6,8% in 2016 from the growth of 6,9% and 7,9% in
2015, respectively. Russia and Brazil, on the other hand, registered a negative growth of 0,2%
and 3,6%, respectively, in 2016 (IMF, 2017).
Countries/ area 2015 2016 2017
Estimates Projections
World output 3,4 3,1 3,5
Advanced economies 2,1 1,7 2,0
Table 2.1 Overview of the world economic growth (percentage change)
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Source: IMF (2017)
3. THE STATE OF THE DOMESTIC ECONOMY
South Africa’s economic growth moderated from 1,3% in 2015 to 0,3% in 2016, which is mainly
as a result of the two quarters of negative quarter to quarter growth. The moderation in
annual growth is consistent with the South African economy currently being in downward
phase of business cycle. Despite the downward phase, the manufacturing sector rebounded
in the year under review. However, the non-primary sector and tertiary sector moderated,
while the primary sector contracted by 5,4% in 2016 (Reserve Bank, 2017).
Table 3.1: South African economic growth rate (percentage change at seasonally adjusted annualised
rates)
Sector 2015
%
2016
%
Year Q1 Q2 Q3 Q4 Year
Primary sector 1,4 -19,0 9,1 3,2 -9,0 -5,4
Agriculture -6,1 -8,7 -7,8 -0,2 -0,1 -7,8
US 2,6 1,6 2,3
Euro area 2,0 1,7 1,7
Japan 1,2 1,0 1,2
Emerging markets and
developing economies
4,2 4,1 4,5
China 6,9 6,7 6,6
India 7,9 6,8 7,2
Russia -2,8 -0,2 1,4
Brazil -3,8 -3,6 0,2
Sub-Saharan Africa 3,4 1,4 2,6
South Africa 1,3 0,3 0,8
3
Mining 3,9 -21,8 14,6 4,2 -11,5 -4,7
Secondary sector 0,0 -0,1 4,8 -2,5 -1,8 0,2
Manufacturing -0,2 0,6 7,6 -3,3 -3,1 0,7
Tertiary sector 1,6 1,4 1,9 0,8 1,6 1,4
Non-primary sector 1,2 1,0 2,5 0,1 0,8 1,1
Total 1,3 -1,5 3,1 0,4 -0,3 0,3
Source: Reserve Bank (2017)
The deceleration in the agricultural sector was mainly a result of low production of field crops
and horticulture, which was affected negatively by the dry underground soil conditions. The
real gross value added by agriculture contracted for eight consecutive quarters up to the
fourth quarter of 2016, due to the prolonged drought on agricultural output which resulted in
a decline of about 7,8% in 2016. The growth of the secondary sector moderated from 0,0% in
2015 to 0,2% in 2016, which resulted to an increase in growth rate of the manufacturing
sector, which rebounded by 0,7% in 2016 after a contraction of 0,2% in 2015 (Reserve bank,
2016).
4. THE AGRO-PROCESSING INDUSTRY
The FAO (1997) defines agro-processing as a subset of manufacturing that processes raw
materials and intermediate products derived from the agricultural sector. Therefore, the
agro-processing industry basically transforms products originating from agriculture, forestry
and fisheries. According to the Standard Industrial Classification, the agro-processing industry
comprises of the following 11 divisions: food products, beverages, tobacco, textiles, wearing
apparel, leather and leather products, footwear, paper and paper products, wood and
wood products, rubber and furniture.
In 2016, the real value added share of the agro-processing industry in the manufacturing
sector and the economy is about 32,2% and 4,4%, respectively. Its contribution to the real
output of the manufacturing sector and the economy was 31,6% and 7,7%, respectively. Its
share of real domestic fixed investment in the manufacturing sector and the economy was
14,3% and 1,8%, respectively, during the year under review. In addition, 19,1% and 10,9% of
the total exports by the manufacturing sector and the economy originated from agro-
processing. The agro-processing industry accounted for 41,3% jobs created in the
manufacturing sector and 3,6% contribution to the economy. This section reviews the
economic performance of each division in the agro-processing industry during 2016.
4
4.1 FOOD PRODUCTS
Source: Quantec EasyData (2017)
Real value added for the food division moderated by 0,6% in 2016, following a significant
growth of 4,8% in 2015 (see figure 4.1). Real output, on the other hand, accelerated by 1,7%
in 2016, following a marginal growth of 0,7% in the previous year. The output price of food
increased modestly by 8,5% in 2016, following a growth of 5,9% in 2015, while the
intermediate input price also increased modestly by 9,3% in 2016, following a growth of 6,3%
in the preceding year.
Source: Quantec EasyData (2017)
The real gross domestic fixed investment in the food division rebounded by 18,3% in 2016,
following a 7,9% contraction recorded in the previous year (see Figure 4.2). The gross fixed
capital formation shows that the investment increased in machinery and other equipment
and in buildings and construction works by 17,9% and 29,5%, respectively, while for transport
equipment declined by 33,4% in 2016 (see Table 4.1).
0
50 000
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150 000
200 000
250 000
2006
2007
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2015
2016 R m
illio
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rices)
Figure 4.1: Real output and value added: food
Real value added Real output
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Figure 4.2: Real gross domestic fixed investment: food
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Table 4.1: Gross fixed capital formation by type of asset: Food products (R million)
Asset type
2014
2015 2016
% change
(2015-2016)
Total 10 555.8 8 700.2 10 292.3 18,3
Machinery and other equipment 8 644.3 7 952.5 9 379.0 17,9
Buildings and construction works 680.9 660.4 855.2 29,5
Transport equipment 120.6 87.3 58.1 -33,4
Source: Quantec EasyData (2017)
Source: Quantec EasyData (2017)
The growth in real export value for food grew by 1,3% in 2016, following a similar moderate
growth recorded in the previous year. However, the real food import values contracted by
5,5% in 2016, following a rebound of 10,4% in the previous year (see Figure 4.3). As a result of
the relative increase in exports compared to imports, the trade surplus widened from R4 712
million in 2015 to R7 087 million in 2016. In addition, export-to-output ratio increased
marginally by 15,7% in 2016 following a 15,4% moderate growth in 2015. Similarly, the import-
to-domestic demand ratio increased modestly by 17,3% in 2016 from a growth of 16,8% in
2015.
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R m
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Figure 4.3: Trade balance of food
Export Import
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Table 4.2: The top five exported food products in 2016
Product Description HS code R’ million % share
Fruit juice 2009 3 168,6 6,1
Fruit, nuts prepared 2008 2 408,0 4,6
Food preparations 2106 2 095,6 4,0
Cane or beet sugar 1701 1 707,2 3,3
Sauces
2103 1 566,1
3,0 Source: Quantec EasyData (2017)
The top five exported food products during 2016 are presented in Table 4.2. Fruit juice (6,1%)
is the main exported product; followed by fruit, nuts prepared (4,6%); food preparations
(4,0%); cane or beet sugar (3,3%) and sauces (3,0%). The main destination for the exports is
SADC, which accounted for the highest share (49,1%), followed by the EU (9,4%), Eastern Asia
(5,1%), Western Asia (3,5%), NAFTA (2,6%), Northern Africa (2,1%) and South Asia (2,0%)
Table 4.3: The top five imported food products in 2016
Product Description HS code R’ million % share
Rice 1006 5 067,2 8,8
Meat & edible offal of poultry 0207 4 605,5 8,0
Palm oil 1511 3 534,9 6,2
Cane or beet sugar 1701 3 025,3 5,3
Soya bean oilcake 2304 2 464,0 4,3 Source: Quantec EasyData (2017)
Among the top imported food products in 2016; rice accounted the highest share (8,8%);
followed by meat and edible offal of poultry (8,0%), palm oil (6,2%), cane or beet sugar
(5,3%) and soya bean oilcake (4,3%) (see Table 4.3). The main source of imports during 2016
were the EU (25,1%), South Asia (21,5%), Americas Rest (11,4%), SADC (11,1%) Eastern Asia
(4,9%) and NAFTA (3,6%).
Table 4.4: Utilisation and reasons for underutilisation of production capacity by large enterprises: Food
products (percentage)
Period Utilisation Reasons for underutilisation
7
Total
underutilisa
tion
Shortage of Insufficient
demand
Other
Raw
materials
Labour
Skilled Semi and
unskilled
2014 81,7 18,3 2,5 1,5 0,2 10,8 3,4
2015 82,0 18,1 2,0 1,3 0,2 11,1 3,5
2016 82,0 18,0 2,1 1,3 0,3 10,2 4,1
Source: Statistics SA (2017)
Regardless of a moderate growth of output in the food division, the utilisation of production
capacity by large enterprises remained at 82,0% in 2016. Insufficient demand is the main
reason for underutilisation, followed by shortage of raw materials and skilled labour (see
Table 4.4).
Source: Quantec EasyData (2017)
Due to growth in output, jobs were created in the food division during 2016. Total
employment (formal and informal) increased modestly by 7,0%, following a growth of 4,3% in
the previous year. Similarly, formal employment also increased modestly by 7,9% in 2016,
following a 3,8% growth in 2015 (see Figure 4.4). Table 4.5 shows the number of employees in
different skill level categories. The highest share of employment in the food product division is
constituted by semi-skilled and unskilled (46,7%), followed by mid-level (39,5%), the high level
and informal both comprises of 6,9% share of employment in 2016.
0
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250 000
2006
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2012
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2015
2016
Figure 4.4: Number of employment: food
Informal Formal Total
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Table 4.5: The skill level of employees: Food products
Skill level 2016 % share in 2016
High level 14 922 6,9
Mid-level 85 247 39,5
Semi-skilled and unskilled 100 975 46,7
Informal 14 943 6,9
Total 216 087 100,00
Source: Quantec EasyData (2017)
4.2 BEVERAGES
Source: Quantec EasyData (2017)
Real value added of the beverages division moderated by 0,9% in 2016, following a
significant growth of 7,5% in 2015. However, the real output of the beverages contracted by
1,1% in 2016, following a 0,9% growth recorded in the previous year (see Figure 4.1). The
output price of beverages increased modestly by 7,2% in 2016, following a growth of 7,1% in
2015. Similarly the intermediate input price increased modestly by 8,1% in 2016, following a
6,9% growth in the preceding year.
0
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rices)
Figure 4.5: Real output and value added: beverages
Real value added Real output
9
Source: Quantec EasyData (2017)
The growth of the real gross domestic fixed investment in the beverages division rebounded
by 21,1% in 2016, following a deceleration of 21,8% in 2015 (see Figure 4.6). The value of gross
fixed capital formation by asset in the beverages division is presented in Table 4.6. The total
gross fixed capital formation increased by 21,1%, which was mainly driven by the increase in
machinery and other equipment, building and construction works and transport equipment
by 22,3%, 11,2% and 7,5%, respectively.
Table 4.6: Gross fixed capital formation by type of asset: Beverages (R million)
Asset type
2014
2015 2016
% change
(2015-2016)
Total 4 342.6 3 395.0 4 111.3 21,1
Machinery and other equipment 4 134.1 3 042.4 3 720.5 22,3
Buildings and construction works 169.0 320.7 356.5 11,2
Transport equipment 39.5 31.9 34.3 7,5
Source: Quantec EasyData (2017)
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rices)
Figure 4.6: Real gross domestic fixed investment: beverages
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Source: Quantec EasyData (2017)
Real exports of beverages rebounded by 1,7% in 2016, following contraction of 3,3% in 2015.
However, imports decelerated by 10,2%, following a 6,8% improved negative growth
recorded in 2015 (see Figure 4.7). As a result of the relative increase in exports compared to
imports, the trade surplus widened from R7 963 million in 2015 to R8 587 million in 2016.
Furthermore, export-to-output ratio increased modestly by 17,6% in 2016, following a 17,4%
growth in 2015. On the other hand, the import-to-domestic demand ratio moderated by
8,3% in 2016, following a growth of 8,5% in 2015.
Table 4.7: The top five exported beverages products in 2016
Product Descriptions HS code
R’ million % share
Wine 2 204 8 074,7 51,2
Ethyl alcohol, spirit beverage 2 208
1 498,4 9,5
Ethyl alcohol 2 207
1 199,1 7,6
Waters, sweetened 2 202
961,7 6,1
Beer 2 203
674,5 4,2 Source: Quantec EasyData (2017)
Table 4.7 shows that wine was the main product exported accounting for 51,2% of the total
beverages’ exports, which is followed by ethyl alcohol, spirit beverage (9,5%), ethyl alcohol,
(7,6%), waters, sweetened (6,1%) and beer (4,2%) in 2016. As a main destination for the
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Figure 4.7: Trade balance of beverages
Export Import
11
exports, the EU has the highest share of about 30,9%, followed by SADC with (26,7%), NAFTA
(7,2%), Eastern Asia (4,7%) and Sub-Saharan Africa (excluding SADC) (3,8%).
Table 4.8: The top five imported beverages products in 2016
Product Description HS code R’ million
% share
Ethyl alcohol 2208 3 104,1 45,6
Waters, sweetened 2202 805,5 11,8
Beer made from malt 2203 699,1 10,3
Malt 1107 421,0 6,2
Wine 2204 357,4 5,3 Source: Quantec EasyData (2017)
Table 4.8 shows the top five imported beverages products in 2016. The leading imports are
ethyl alcohol, with a share 45,6%; followed by waters, sweetened (11,8%), beer (10,3%); malt
(6,2%) and wines (5,3%) (see Table 4.8). The EU was the largest source of imports of
beverages products (59,9%), followed by SADC (9,3%), NAFTA (5,6%), Western Asia (2,1%) and
Europe Rest (1,9%).
Table 4.9: Utilisation and reasons for underutilisation of production capacity by large enterprises:
Beverages (percentage)
Period Utilisation Reasons for underutilisation
Total
underutilisa
tion
Shortage of Insufficient
demand
Other
Raw
materials
Labour
Skilled Semi and
unskilled
2014 84,6 15,4 2,3 1,2 0,3 8,1 3,5
2015 84,6 15,5 1,8 1,2 0,2 7,9 4,4
2016 86,1 13,9` 2,1 1,1 0,3 7,1 3,5
Source: Statistics SA (2017)
The utilisation of production capacity in the beverages division increased modestly by 1,5
percentage point in 2016 (see Table 4.9). Insufficient demand remains the main reasons for
12
underutilisation, followed by other reasons such as seasonal factors and shortage of raw
materials.
Source: Quantec EasyData (2017)
Figure 4.8 shows the number of employment in the beverages division. During 2016, total
formal and informal employment contracted by 1,0%, following a rebound of 5,2% recorded
in 2015. However, the formal employment increased significantly by 4,2% in 2016 from a
rebound of 1,8% registered in the previous year. Table 4.10 shows the percentage share to
the total employment by skill level category in beverages division. Informal comprises of 43%
share, followed by semiskilled and unskilled (28,4%) and mid-level and high level with a share
19,5% and 8,9%, respectively.
Table 4.10: The skill level of employees: Beverages
Skill level 2016 % share in 2016
High level 5 995 8,9
Mid-level 13 144 19,5
Semiskilled and unskilled 19 160 28,4
Informal 29 258 43,3
Total 67 556 100,00
Source: Quantec EasyData (2017)
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Figure 4.8: Number of employment: beverages
Informal Formal Total
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4.3 TOBACCO
Source: Quantec EasyData (2017)
During 2016, the growth of real value added of tobacco rebounded by 1,3%, following a
contraction of 2,9% growth registered in 2015. However, the real output modestly grew by
3,3%, following a 0,3% moderate growth registered in the preceding year (see Figure 4,9). The
output price and intermediate input price of tobacco moderated by 4,2% and 5,8% in 2016,
following a growth of 7,7% and 8,1% in 2015, respectively.
Source: Quantec EasyData (2017)
Real gross fixed investments of tobacco decelerated by 23,6% in 2016, following a
contraction of 1,6% growth registered in the preceding year. The total value of gross fixed
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Figure 4.9: Real output and value added: tobacco
Real value added Real output
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14
20
15
20
16
R m
illio
n (
2005 p
rices)
Figure 4.10: Real gross domestic fixed investment: tobacco
14
capital formation decreased by 23,6%, which was a result of declines in transport equipment
(-40,0%) and machinery and other equipment(-23,9%), respectively, in 2016 (see Table 4.1).
Table 4.11: Gross fixed capital formation by type of asset: Tobacco (R million)
Asset type
2014
2015 2016
% change
(2015-2016)
Total 75.0 73.8 56.4 -23,6
Machinery and other equipment 74.2 72.8 55.4 -23,9
Buildings and construction works 0.2 0.5 0.7 40,0
Transport equipment 0.6 0.5 0.3 -40,0
Source: Quantec EasyData (2017)
Source: Quantec EasyData (2017)
During 2016, the real exports of tobacco products contracted by 5,3% as compared to the
1,5% rebound registered in the preceding year. However, the real imports increased
significantly by 56,5% in 2016, following a rebound of 23,0% recorded in 2015 (see Figure 4.11).
As a result of the decrease in exports as compared to imports, the trade surplus narrowed
from R1 796 million in 2015 to R1 437 million in 2016. During 2016, export-to-output ratio
moderated by 15,9%, from a modest growth of 17,8% in 2015 and import-to-domestic
demand ratio also increased significantly by 8,3% in 2016, following a growth of 5,1% in 2015.
0
500
1 000
1 500
2 000
2 500
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.11: Trade balance of tobacco
Export Import
15
Table 4.12: The top two exported tobacco products in 2016
Product Description HS code R’ million % share
Cigars, cigarettes, 2402 1 586,7 59,2
Tobacco and tobacco substitute products, 2403 693,1 26,2
Source: Quantec EasyData (2017)
As indicated in Table 4.12, the top two exported tobacco products are cigars, cigarettes
(59,2%) and tobacco and tobacco substitutes products (26,2%). In addition, during 2016,
SADC (48,2%), Northern Africa (18,2%), Western Asia (13,1%), Sub-Saharan Africa (excluding
SADC) (2,5%) and Eastern Asia (1,7%) were the top exporting destinations for tobacco.
Table 4.13: The top two imported tobacco products in 2016
Product Description HS code R’ million % share
Cigars, cigarettes 2402 972,6 77,3
Tobacco and tobacco substitute products NESOI 2403 103,3 8,2
Source: Quantec EasyData (2017)
As presented in Table 4.13, cigars, cigarettes (77,3%) and tobacco and tobacco substitute
products (8,2%) are also the top imported products in tobacco division (see Table 4.13). In
2016, the European Rest remained the main source of imports for tobacco products (69,1%),
followed by the EU (8,3%), Americas Rest (2,9%), SADC (1,2%) and South Asia (1,2%).
Source: Quantec EasyData (2017)
0
1 000
2 000
3 000
4 000
5 000
6 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
Figure 4.12: Number of employment: tobacco
16
The total employment in the tobacco division moderated by 5,5%, following a 16,1% growth
registered in the preceding year, (see Figure 4.12). Table 4.14 shows the percentage share to
total employment in the tobacco division in terms of skill level. Semi-skilled and unskilled level
has highest share of 50,0%, followed by mid-level and high level by with a share of 34,3% and
15,7%, respectively.
Table 4.14: The skill level of employees: Tobacco
Skill level 2016 % share in 2016
High level 772 15,7
Mid-level 1 690 34,3
Semiskilled and unskilled 2 462 50,0
Informal - -
Total 4 924 100,00
Source: Quantec EasyData (2017)
4.4 TEXTILES
Source: Quantec EasyData (2017)
During 2016, the growth of real value added for textiles rebounded by 1,3%, following a
contraction of 2,9% in 2015. Similarly, the real output rebounded by 1,6% in 2016 as
compared to 0,5% deceleration registered in the previous year. The intermediate input price
0
5 000
10 000
15 000
20 000
25 000
30 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.13: Real output and value added: textiles
Real value added Real output
17
and output price of textile increased modestly by 5,3% and 5,8% in 2016, following 5,0% and
4,8% growths in 2015, respectively.
Source: Quantec EasyData (2017)
The real gross domestic fixed investment of textiles decelerated by 15,5% in 2016, following a
contraction of 11,2% in 2015, (see Figure 4.14). Table 4.15 shows the gross capital fixed
formation by asset type for textile division, with buildings and construction works decline by -
73,6%, followed by transport equipment (36,0%), and machinery and other equipment(-
13,1%).
Table 4.15: Gross fixed capital formation by type of asset: Textiles (R million)
Asset type
2014
2015 2016
% change
(2015-2016)
Total 843.1 748.8 633.1 -15.5
Machinery and other equipment 785.6 711.3 618.1 -13.1
Buildings and construction works 41.5 23.9 6.3 -73.6
Transport equipment 16.0 13.6 8.7 -36.0
Source: Quantec EasyData (2017)
0
200
400
600
800
1 000
1 200
1 400 2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.14: Real gross domestic fixed investment: textiles
18
Source: Quantec EasyData (2017)
The real exports of textile products rebounded by 4,9% in 2016, following a 7,6% contraction
recorded in 2015. However, the real imports contracted by 10,1%, following a rebound of
6,3% in the preceding year. In addition, export-to-output ratio moderated by 21,5%, following
a 21,09% growth in 2015. Similarly, import-to-domestic ratio also moderated by 36,6% as
compared to 37,3% growth in 2015. As a result, the trade deficit narrowed by R4 388 million in
2016 as compared to R5 509 million in 2015.
Table 4.16: The top five exported textile products in 2016
Product Description HS code R’ million % share
Wool and fine or coarse animal hair 5105 860,4 11,9
Tarpaulins, sails, awnings, tents 6306 405,9 5,6
Stranded wire, ropes 7312 349,9 4,8
Woven fabrics 5407 330,9 4,6
Sacks and bags 6305 323,0 3,3
Source: Quantec EasyData (2017)
The top five exported textile products are shown in Table 4.16. Wool and fine or coarse
animal hair accounted for 11,9% share of the total textile exports, followed by Tarpaulins,
sails, awnings, tents (5,6%), stranded wire(4,8%), woven fabrics(4,6%) and sacks and bags
(3,3%) in 2016. The SADC, the EU, Eastern Asia, NAFTA and Oceania (including Australia and
0
1 000
2 000
3 000
4 000
5 000
6 000
7 000
8 000
9 000
10 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.15: Trade balance of textiles
Export Import
19
New Zealand) were the leading export destinations with a share of 39,7%, 16,9%, 6,2%, 4,4%
and 3,5%, respectively, in 2016.
Table 4.17: The top five imported textile products in 2016
Product Description HS code R’ million % share
Woven synthetic filament yarn 5407 1 447,8 9,5
Non-wovens 5603 1 091,2 7,1
Bed, table, toilet and kitchen linen 6302 817,3 5,4
Woven cotton fabrics 5208 642,9 4,0
Textile fabrics 5903 614,1 4,3
Source: Quantec EasyData (2017)
Table 4.17 shows top five imported textile products in 2016. The main imports of textile
products were woven synthetic filament yarn (9,5%); non-wovens (5,4%); bed, table, toilet
and kitchen linen by (5,4%); woven cotton fabrics (4,0%) and textile fabrics (4,3%). The major
source of imports were Eastern Asia (38,8%), South Asia (17,9%), the EU (14,7%), the SADC
(6,9%), Western Asia (3,9%) and NAFTA (2,9%).
Table 4.18: Utilisation and reasons for underutilisation of production capacity by large enterprises:
Textiles (percentage)
Period Utilisation Reasons for underutilisation
Total
underutilisa
tion
Shortage of Insufficient
demand
Other
Raw
materials
Labour
Skilled Semi and
unskilled
2014 70,0 30,0 1,0 0,5 0,0 25,1 3,5
2015 70,4 29,6 1,1 0,4 0,0 24,7 3,5
2016 68,5 31,5 1,3 0,8 0,0 26,3 3,1
Source: Quantec EasyData (2017)
Table 4.18 shows that the utilisation of production capacity by large enterprises in the textile
division contracted by 1,9 percentage point in 2016, insufficient demand remains the main
reason for underutilisation, followed by other reasons such as seasonal factors.
20
Source: Quantec EasyData (2017)
In 2016, the total employment for textiles contracted by 4,7%, following a rebound of about
4,7% registered in 2015. Similarly, formal employment contracted by 0,8% as compared to the
rebound of 2,5% recorded in 2015 (see Figure 4.16). Table 4.19 shows the percentage share
to the total employment by skill level in the textile division. Semiskilled and unskilled
constitutes a share of 52,1%, followed by the informal sector (33,4%), mid-level (10,6%) and
high level (3,9%).
Table 4.19: The skill level of employees: Textiles
Skill level 2016 % share in 2016
High level 7 885 3,9
Mid-level 5 135 10,6
Semi-skilled and unskilled 25 194 52,1
Informal 16 178 33,4
Total 48 392 100,00
Source: Quantec EasyData (2017)
0
10 000
20 000
30 000
40 000
50 000
60 000
70 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
Figure 4.16: Number of employment: textiles
Informal Formal Total
21
4.5 WEARING APPAREL
Source: Quantec EasyData (2017)
During 2016, the growth of real value added in the wearing apparel division registered a
second consecutive deceleration of 5,6%, following a deceleration of 4,4% growth recorded
in 2015. The real output of wearing apparel, however, contracted by 9,6% in 2016, following a
moderate growth of 1,1% in 2015 (see figure 4.17). The intermediate input price and the
output price increased significantly by 17,4% and 17,2% in 2016, following growths of 3,6%
and 5,3% in the preceding year, respectively.
Source: Quantec EasyData (2017)
The real gross domestic fixed investment for wearing apparel rebounded by 24,2% in 2016,
following a deceleration of 5,2% in 2015 (see Figure 4.18). Table 4.20 shows that the total gross
fixed capital formation for the wearing apparel division increased by 24,3%, with a notable
0
5 000
10 000
15 000
20 000
25 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.17: Real output and value added: wearing apparel
Real value added Real output
0
50
100
150
200
250
300
350
400
450
500
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.18: Real gross domestic fixed investment: wearing apparel
22
increase in transport equipment (31,3%) and machinery and other equipment (28,1%).
However, buildings and construction works declined by -4,1% in 2016.
Table 4.20: Gross fixed capital formation by type of asset: Wearing apparel (R million)
Asset type
2014
2015 2016
% change
(2015-2016)
Total 304.4 288.5 358.5 24,3
Machinery and other equipment 291.1 259.7 332.7 28,1
Buildings and construction works 2.5 22.1 21.2 -4,1
Transport equipment 10.8 6.7 4.6 31,3
Source: Quantec EasyData (2017)
Source: Quantec EasyData (2017)
During 2016, real exports of wearing apparel contracted by 19,8%, following a growth of 3,7%
recorded in 2015. Similarly, the real imports also contracted by 15,9% in 2016, following a 5,6%
rebound registered in the previous year. The export-to-output ratio of wearing apparel
moderated by 28,7% as compared to a growth of 29,5% in the preceding year. Similarly, the
import-to-domestic ratio moderated by 58,2%, following a 58,3% growth in 2015. As a result,
0
2 000
4 000
6 000
8 000
10 000
12 000
14 000
16 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.19: Trade balance of wearing apparel
Export Import
23
the trade deficit of wearing apparel narrowed from R9 547 million in 2015 to R8 190 million in
2016.
Table 4.21: The top five exported wearing apparel products in 2016
Product Description HS code R’ million % share
Men's or boys' suits, 6203 614,5 7,9
Women's or girls' suits 6204 455,5 5,9
T-shirts, singlets, tank tops 6109 442,8
5,7
Men's or boys' suits, ensembles 6103 322,7
4,2
Women's or girls' suits, ensembles 6104 314,2
4,1
Source: Quantec EasyData (2017)
The top five exported wearing apparel products are presented in Table 4.21. The main
exported wearing apparel product group was men’s or boy’s suits (7,9%); women's or girls'
suits (5,9%); t-shirts, singlets, tank tops (5,7%); men's or boys' suits, ensembles (4,2%) and
women's or girls' suits, ensembles (4,1%). In 2016, the major export destinations of wearing
apparel products were the SADC (54,3%), NAFTA (1,9%), the EU (1,9%), Northern Africa (0,8%)
and Western Asia (0,8%).
Table 4.22: The top five imported wearing apparel products in 2016
Product Description HS code R’ million % share
Men's or boys' suits 6203 3 559,8
13,3
Women's or girls' suits 6204 2869,3 10,7
T-shirts, singlets, tank tops 6109 2525,3
9,4
Sweaters, pullovers, vests 6110 1504,8 5,6
Men's or boys' shirts, not knitted or
crocheted
6205 1090,1 4,1
Source: Quantec EasyData (2017)
The top five imported wearing apparel items during 2016 are presented in Table 4.22. Mens’
or boys’ suits, (13,3%); women’s or girls’ suits (10,7%); t-shirts, singlet’s, tank tops (9,4%);
sweaters, pullovers, vests (5,6%); and men's or boys' shirts, not knitted or crocheted (4,1%)
24
made up for most of the imported wearing apparel products. The major source of imports
were Eastern Asia (48,7%), followed by the SADC (18,9%), South Asia (10,4%), Sub-Saharan
Africa excluding the SADC (4,4%) and the EU (2,4%).
Table 4.23: Utilisation and reasons for underutilisation of production capacity by large enterprises:
Wearing apparel (percentage)
Period Utilisation Reasons for underutilisation
Total
underutilisa
tion
Shortage of Insufficient
demand
Other
Raw
materials
Labour
Skilled Semi and
unskilled
2014 79,3 20,7 0,6 0,9 0,3 16,4 2,5
2015 79,2 20,8 0,6 1,2 0,3 16,0 2,8
2016 77,5 22,5 0,7 1,4 0,4 16,7 3,4
Source: Quantec EasyData (2017)
Table 4.23 shows that the utilisation capacity decelerated by 1,7 percentage points in 2016.
Insufficient demand remains the main reason for underutilisation of production capacity
during 2016, followed by other reasons such as seasonal factors.
Source: Quantec EasyData (2017)
Figure 4.20 above shows that during 2016 the total and formal employment in the wearing
apparel division contracted by 6,6% and 2,1%, following a rebound of 4,2% and 1,7%, in the
preceding year, respectively. Table 4.24 shows that the semi-skilled and unskilled level
0
20 000
40 000
60 000
80 000
100 000
120 000
140 000
160 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
Figure 4.20: Number of employment: wearing apparel
Informal Formal Total
25
comprises of about 49,6% share of total employment in the wearing apparel division,
followed by informal (39,7%), mid-level (7,8%) and high-level skilled workers (2,9%) in 2016.
Table 4.24: The skill level of employees: Wearing apparel
Skill level 2016 % share in 2016
High level 2 179 2,9
Mid-level 5 976 7,8
Semiskilled and unskilled 37 890 49,6
Informal 30 352 39,7
Total 76 397 100,00
Source: Quantec EasyData (2017)
4.6 LEATHER AND LEATHER PRODUCTS
Source: Quantec EasyData (2017)
During 2016, the real value added of leather and leather products decelerated by 9,9%,
following a 12,6% deceleration recorded in 2015. Similarly, the real output decelerated by
8,0% as compared to 5,8% deceleration in the preceding year. The intermediated input and
output price of leather and leather products increased significantly by 51,7% and 42,9% in
2016, following growths of 3,4% and 4,7%, respectively in 2015.
0
1 000
2 000
3 000
4 000
5 000
6 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.21: Real output and value added: leather and leather products
Real value added Real output
26
Source: Quantec EasyData (2017)
During 2016, the real gross domestic fixed investment in the leather and leather products
division rebounded by 24,2%, following a deceleration of 5,2% in the previous year. The gross
fixed capital formation increased for machinery and other equipment (44,4%) while buildings
and construction works and transport equipment decreased by -19,0% and -47,1%,
respectively (see Table 4.25).
Table 4.25: Gross fixed capital formation by type of asset: Leather and leather products (R million)
Asset type
2014
2015 2016
% change
(2015-2016)
Total 28.6 36.8 47.6 29,3
Machinery and other equipment 21.8 28.8 41.6 44,4
Buildings and construction works 4.6 6.3 5.1 -19,0
Transport equipment 2.2 1.7 0.9 -47,1
Source: Quantec EasyData (2017)
0
20
40
60
80
100
120
140
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.22: Real gross domestic fixed investment: leather and leather products
27
Source: Quantec EasyData (2017)
The real export value of leather and leather products decelerated by 10,2% in 2016, following
a growth of 3,7% registered in the previous year. However, the real imports of leather and
leather products decelerated by 24,6%, following a 1,5% deceleration in the previous year.
The export-to-output ratio moderated by 50,7% in 2016, following a growth of 60,3% in the
preceding year. Similarly, import-to-domestic ratio moderated by 46,4% in 2016, following a
growth of 59,5% in 2015. As a result, the trade surplus of leather and leather products
widened from R537 million in the previous year to R801 million in 2016.
Table 4.26: The top five exported leather and leather products in 2016
Product Description HS code R’ million % share
Bovine or equine leather 4104 1 033,7 21,2
Leather of animals 4107 531,3 10,9
Articles of leather 4205 448,8 9,2
Travel goods 4202 331,1 6,8
Composition leather 4113 314,2 6,4
Source: Quantec EasyData (2017)
The top five exported leather and leather products in 2016 are presented in Table 4.26.
Bovine or equine leather is the leading export of leather products and accounted for a 21,2%
share in 2016. In 2016, the top export destinations for South African leather products were the
0
500
1 000
1 500
2 000
2 500
3 000
3 500
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.23: Trade balance of leather and leather products
Export Import
28
EU (25,2%), the SADC (11,0%), Eastern Asia (7,1%), NAFTA (6,9%), Americas Rest (4,3%) and
South Asia (2,9%).
Table 4.27: The top five imported leather and leather products in 2016
Product Description HS code R’ million % share
Travel goods 4202 2 246,3
54,9
Leather of animals 4107 382,3 9,3
Bovine or equine leather 4104 275,2 6,7
Articles of apparel 4203 225,0 5,5
Articles of leather 4205 136,1 3,3
Source: Quantec EasyData (2017)
Table 4.27 shows the top five imported leather and leather products in 2016. Travel goods
(54,9%), leather of animals (9,3%), bovine or equine leather (6,7%),articles of apparel (5,5%)
and articles of leather (3,3%) were the leading imports of leather products in 2016. The major
sources of imports of leather and leather products were: Eastern Asia (48,9%), South Asia
(15,6%), the EU (9,0%), the SADC (5,5%) and Americas Rest (4,2%).
Table 4.28: Utilisation and reasons for underutilisation of production capacity by large enterprises:
Leather and leather products (percentage)
Period Utilisation Reasons for underutilisation
Total
underutilisa
tion
Shortage of Insufficient
demand
Other
Raw
materials
Labour
Skilled Semi and
unskilled
2014 69,5 30,5 4,6 0,2 0,6 23,8 1,5
2015 73,4 26,6 4,5 0,5 1,0 18,8 1,9
2016 74,4 25,7 4,5 0,6 1,3 17,7 1,6
Source: Statistics SA (2017)
The utilisation of production capacity for the leather and leather products division increased
modestly by 1,0 percentage points in 2016 (see Table 4.28). Insufficient demand remained
the main reason for underutilisation, followed by shortage of raw materials and other reasons
such as downtime due to maintenance.
29
Source: Quantec EasyData (2017)
During 2016, total and formal employment of leather and leather products increased
modestly by 9,1% and 10,1%, following a 7,6% and 7,1% rebound, respectively, recorded in
the previous year (see Figure 4.24). Table 4.29 shows the skill level of employees in the leather
and leather products division, with semi-skilled and unskilled level comprises of 70,9% share,
followed by mid-level skills (18,3%), informal (7,4%) and then high level (3,4%) in 2016.
Table 4.29: The skill level of employees: Leather and leather products
Skill level 2016 % share in 2016
High level 194 3,4
Mid-level 1 033 18,3
Semi-skilled and unskilled 4 011 70,9
Informal 420 7,4
Total 5 658 100,00
Source: Quantec EasyData (2017)
0
1 000
2 000
3 000
4 000
5 000
6 000
7 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
Figure 4.24: Number of employment: leather and leather products
Informal Formal Total
30
4.7 FOOTWEAR
Source: Quantec EasyData (2017)
The real value added in the footwear division decelerated by 1,9% in 2016, following a
contraction of 8,1% in the previous year. Similarly, the real output in the footwear division
decelerated by 5,3% in 2016, following a deceleration of 2,5% in the preceding year. The
output price and intermediate input price increased significantly by 12,4% and 12,4% in 2016,
following a growth of 7,2% and 4,7, respectively in 2015.
Source: Quantec EasyData (2017)
During 2016, the real gross domestic fixed investment of footwear division increased
significantly by 29,5%, following a moderation of 0,7% in 2015 .The value of gross fixed capital
formation by asset type, as shown in Table 4.30, for footwear division increased for building
0
1 000
2 000
3 000
4 000
5 000
6 000
7 000
8 000
9 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.25: Real output and value added: footwear
Real value added Real output
0
20
40
60
80
100
120
140
160
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.26: Real gross domestic fixed investment: footwear
31
and construction works (154,5%) and machinery and other equipment (13,5%). However,
gross fixed capital formation for transport equipment decreased by -20,0% in 2016.
Table 4.30: Gross fixed capital formation by type of asset: Footwear (R million)
Asset type
2014
2015 2016
% change
(2015-2016)
Total 105.7 106.3 137.8 29.6
Machinery and other equipment 91.5 93.5 106.1 13.5
Buildings and construction works 13.3 12.3 31.3 154.5
Transport equipment 0.9 0.5 0.4 -20.0
Source: Quantec EasyData (2017)
Source: Quantec EasyData (2017)
The real exports of footwear products decelerated by 19,1% in 2016, following a contraction
of 2,2% in the previous year. However, the real imports contracted by 20,3% in 2016, following
a 4,8% rebound in 2015. As a result, trade deficit of footwear widened from R2 594 million in
2014 to R2 806 million in 2015. The export-to-output ratio moderated by 13,7% in 2016 from
14,5% growth in 2015 and import-to-domestic demand ratio decreased to 42,9% in 2016 from
44,3% in 2015.
0
500
1 000
1 500
2 000
2 500
3 000
3 500
4 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.27: Trade balance of footwear
Export Import
32
Table 4.31: The top five exported footwear products in 2016
Product Description HS code R’ million % share
Footwear, outer sole rubber, plastic or
leather and upper leather
6403 481,4 34,5
Footwear, outer sole rubber, plastic or
leather and upper textile
6404 318,9 22,9
Footwear, 6405 289,7 20,8
Source: Quantec EasyData (2017)
The top three exports of footwear products in 2016 are presented in Table 4.31. The footwear,
outer sole rubber, plastic or leather and upper leather accounted for 34,5%, followed by
footwear, outer sole with plastic or leather and upper textile(22,9%) and footwear (20,8%) in
2016. Among the top export destinations in 2016, SADC comprised of 74,7% share of the
total exports of footwear products, followed by the Sub-Saharan Africa (excluding SADC)
(0,9%), the EU (0,8%), Northern Africa (0,5%) and Oceania( including Australia and New
Zealand )(0,3%).
Table 4.32: The top three imported footwear products in 2016
Product Description HS code R’ million % share
Footwear, outer sole rubber, plastic or
leather and upper textile
6404 3 211,1 48,9
Footwear, outer sole rubber, plastic or
leather and upper leather
6403 2 528,4 38,5
Footwear 6405 122,9 1,9
Source: Quantec EasyData (2017)
Table 4.32 presents the top three imports of footwear products in 2016. Footwear, outer sole
rubber, plastic or leather and upper textile were the major imported products in 2016 and
accounted for the largest import share of about 48,9% of the total footwear imports. The
Eastern Asia (47,7%), South Asia (29,9%),the EU (8,5%), SADC (1,2%) and Americas Rest (1,0%)
were the major import sources of footwear products.
Table 4.33: Utilisation and reasons for underutilisation of production capacity by large enterprises:
Footwear (percentage)
Period Utilisation Reasons for underutilisation
Total
underutilisa
Shortage of Insufficient
demand
Other
Raw Labour
33
tion materials Skilled Semi and
unskilled
2014 85,3 14,7 2,3 2,3 0,0 10,1 0,2
2015 85,0 15,0 1,9 0,8 0,0 12,3 0,2
2016 84,4 15,6 2,0 0,9 0,0 12,7 0,0
Source: Statistics SA (2017)
The utilisation of production capacity of the footwear division decreased by 0,6 percentage
points as a result of the decrease output of footwear (see Table 4.33). The division is among
few agro-processing industries that have the highest percentage of utilisation capacity.
During 2015, insufficient demand remained the key reason for underutilisation, followed by
shortages of raw materials and skilled labour.
Source: Quantec EasyData (2017)
During 2016, the footwear division total employment contracted by 8,1%, following a
rebound of 0,6% in the previous year (see Figure 4.28). However, formal employment
decelerated by 6,3% in 2016, following a contraction of 0,5% recorded in 2015. The semi-
skilled and unskilled levels category comprises of 75,4% share of total employment in the
footwear division, followed by informal, mid-level and high level skills categories with 16,9%,
5,1% and 2,6% share in 2016, respectively (see Table 4.34).
0
2 000
4 000
6 000
8 000
10 000
12 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
Figure 4.28: Number of employment: footwear
Informal Formal Total
34
Table 4.34: The skill level of employees: Footwear
Skill level 2016 % share in 2016
High level 258 2,6
Mid-level 518 5,1
Semi-skilled and unskilled 7 623 75,4
Informal 1 706 16,9
Total 10 105 100,00
Source: Quantec EasyData (2017)
4.8 WOOD AND WOOD PRODUCTS
Source: Quantec EasyData (2017)
During 2016, real output of wood and wood products increased significantly by 7,7%,
following a moderate growth of 1,1 % in 2015. However, the real value added moderated by
3,0%, following an 11,1% growth registered in 2015. The output price and intermediate input
price contracted by 0,4% and 1,0% in 2016, following a growth of 9,1% and 8,0%, respectively,
in the preceding year.
0
5 000
10 000
15 000
20 000
25 000
30 000
35 000
40 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.29: Real output and value added: wood and wood products
Real value added Real output
35
Source: Quantec EasyData (2017)
The real gross domestic fixed investment in the wood and wood products division is depicted
in Figure 4.30. During 2016, it rebounded by 7,1%, following a contraction of 1,4% in the
previous year. The gross fixed capital formation by type of assets for the wood and wood
products division declined for building and construction works (20,6%) and transport
equipment (48,2%), but increased for machinery and other equipment by 13,2% in 2016 (see
Table 4.35).
Table 4.35: Gross fixed capital formation by type of asset: Wood and wood products (R million)
Asset type
2014
2015 2016
% change
(2015-2016)
Total 697.2 687.3 736.1 7,1
Machinery and other equipment 608.3 602.6 682.2 13,2
Buildings and construction works 49.9 48.3 25.0 -48,2
Transport equipment 39.0 36.4 28.9 -20,6
Source: Quantec EasyData (2017)
0
500
1 000
1 500
2 000
2 500
3 000
3 500
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.30: Real gross domestic fixed investment: wood and wood products
36
Source: Quantec EasyData (2017)
As shown in Figure 4.31, the value of real exports for wood and wood products moderated
by 10,0% in 2016, following a growth of 15,6% in the previous year. However, the value of
imports contracted by 5,9% in 2016, following a 7,0% growth in 2015. Owing to a growth of
real exports compared to real imports, the trade surplus widened from R4 416 million in 2015
to R5 371 million in 2016. Export-to-output ratio moderated by 17,3% in 2016, following a 16.9%
growth in 2015. However, the import-domestic demand ratio moderated by 10,59% in 2016,
following a growth of 10,58% in 2015 (see Figure 4.31).
Table 4.36: The top five exported wood and wood products in 2016
Product Description HS code R’ million % share
Fuel wood in logs 4401 2 463,0 26,5
Builders' joinery and carpentry of wood 4418 682,4 7,3
Wood in the rough 4403 553,9 5,9
Wood sawn or chipped length 4407 533,2 5,7
Particle board and similar board of wood 4410 425,3 4,6
Source: Quantec EasyData (2017)
Table 4.36 shows the top five exports of wood and wood products in 2016. The leading
exports were fuel wood in logs with a share of 26,5%, followed by builders' joinery and
0
1 000
2 000
3 000
4 000
5 000
6 000
7 000
8 000
9 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.31: Trade balance of wood and wood products
Export Import
37
carpentry of wood (7,3%) and wood in the rough at around 5,9% share. The major export
destinations for wood and wood products were to the SADC (26,7%), Eastern Asia (21,3%),
South Asia (5,2%), the EU ( 3,3%) and Oceania (including Australia and New Zealand) (2,0%).
Table 4.37: The top five imported wood and wood products in 2016
Product Description HS code R’ million % share
Wood sawn 4407 1 316,6 25,0
Plywood 4412 565,9 10,8
Fibreboard of wood or other ligneous
materials
4411 483,7 9,2
Fuel wood in logs 4401 357,0 6,8
Casks, barrels, vats 4416 317,7 6,0
Source: Quantec EasyData (2017)
Table 4.37 presents the top five imports of wood and wood products in 2016. The main
imports of wood and wood products were wood sawn (25,0%), plywood (10,8%) and
fibreboard of wood (9,2%). In addition, the major sources of imports for wood and wood
products were from the SADC (22,4%), the EU (20,2%), South Asia (14,6%), Eastern Asia (14,2%)
and Americas Rest (6,5%).
Table 4.38: Utilisation and reasons for underutilisation of production capacity by large enterprises: Wood
and wood products (percentage)
Period Utilisation Reasons for underutilisation
Total
underutilis
ation
Shortage of Insufficient
demand
Other
Raw
materials
Labour
Skilled Semi
and
unskilled
2014 82,3 17,8 1,9 1,6 0,0 9,6 4,7
2015 83,0 17,1 2,0 1,5 0,1 9,3 4,3
2016 85,1 14,9 1,5 1,1 0,0 7,8 4,6
Source: Statistics SA (2017)
38
Table 4.38 shows that the utilisation capacity for the wood and wood products division
increased by 2,1 percentage points during 2016. Insufficient demand is the main reason for
underutilisation, followed by other reasons and shortage of raw materials.
Source: Quantec EasyData (2017)
During 2016, the total employment in the wood and wood products division contracted by
4,2%, following a 0,2% growth in 2015. During the same period, formal employment registered
an improved negative growth of 1,2% as compared to the 1,5% contraction registered in
2015. Table 4.39 shows the number of jobs in the wood and wood product division for
different skill levels of employees categories, with the semi-skilled and unskilled level category
having a share of about 42,6%, followed by mid-level (28,8%), informal skilled employees
(26,1%) and high level at 2,5% in 2016 (see Table 4.39).
Table 4.39: The skill level of employees: Wood and wood products
Skill level 2016 % share in 2016
High level 1 484 2,5
Mid-level 17 231 28,8
Semi-skilled and unskilled 25 456 42,6
Informal 15 594 26,1
0
10 000
20 000
30 000
40 000
50 000
60 000
70 000
80 000
90 000
100 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
Figure 4.32: Number of employment: wood and wood products
Informal Formal Total
39
Total 59 764 100,00
Source: Quantec EasyData (2017)
4.9 PAPER AND PAPER PRODUCTS
Source: Quantec EasyData (2017)
During 2016, the real output of paper and paper products decelerated by 3,5%, following a
contraction of 1,0% registered in the previous year. However, the real value added of paper
and paper products contracted by 0,4%, following a 3,2% growth recorded in 2015. The
output and intermediate input price increased marginally by 11,2% and 10,3% in 2016,
following a 7,4% and 7,3% growth, respectively in the previous year (see Figure 4.33).
Source: Quantec EasyData (2017)
0
10 000
20 000
30 000
40 000
50 000
60 000
70 000
80 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.33: Real output and value added: paper and paper products
Real value added Real output
0
2 000
4 000
6 000
8 000
10 000
12 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.34: Real gross domestic fixed investment: paper and paper products
40
The real gross domestic fixed investment in the paper and paper products division
rebounded by 7,1% in 2016, following a 1,4% contraction in 2015 (see Figure 4.34). Table 4.40
shows the gross fixed capital formation by type of assets for the paper and paper products
division, with machinery and other equipment, building and construction works and
transport equipment contracting by -17,0%, -51,1% and -8,2%, respectively, in 2016.
Table 4.40: Gross fixed capital formation by type of asset: Paper and paper products (R million)
Asset type
2014
2015 2016
% change
(2015-2016)
Total 4 795.9 4 312.6 3 532.1 -18,1
Machinery and other
equipment 4 584.0 4 162.0 3 456.4 -17,0
Buildings and
construction works 203.7 145.7 71.2 -51,1
Transport equipment 8.2 4.9 4.5 -8,2
Source: Quantec EasyData (2017)
Source: Quantec EasyData (2017)
During 2016, the paper and paper products division’s real exports increased modestly by
7,0% as compared to the 6,8% growth recorded in 2015. However, imports contracted by
11,3%, following a 4,5% growth registered in the preceding year. As a result of an increase in
0
2 000
4 000
6 000
8 000
10 000
12 000
14 000
16 000
18 000
20 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.35: Trade balance of paper and paper products
Export Import
41
exports relative to imports, the trade surplus widened from R7 030 million in 2015 to R9 363
million in 2016 (see Figure 4.35).
Table 4.41: The top five exported paper and paper products in 2016
Product Description HS code R’ million % share
Chemical wood pulp, dissolving grades 4702 8 845,6 33,9
Kraft paper and paperboard 4804 2 745,2 10,5
Chemical wood pulp 4703 1 226,0 4,7
Cartons 4819 1 032,2 3,9
Sanitary towels and napkins 9619 933,3 3,6
Source: Quantec EasyData (2017)
During 2016, the top five exported products were chemical wood pulp (33,9%), followed by
kraft paperboard, chemical wood pulp, cartons and sanitary towels and napkins with a
share of about 10,5%, 4,7%, 3,9% and 3,6%, respectively (see Table 4.41). The SADC (21,9%),
South Asia (19,9%), Eastern Asia (15,6%), the European Union (11,8%) and NAFTA(1,5%) were
the main export destinations for the paper and paper products.
Table 4.42: The top five imported paper and paper products in 2016
Product Description HS code R’ million % share
Paper, paperboard, wad 4811 2 675,5 14,5
Paper and paperboard, coated with
kaolin
4810 2 650,8 14,4
Self-adhesive plates, sheets, film 3919 1 733,5 9,4
Paper, uncoated 4802 1 526,4 8,3
Sanitary towels and napkins 9619 1 265,6 6,9
Source: Quantec EasyData (2017)
Table 4.42 presents the top five imports of paper and paper products in 2016. The main
imports were paper, paperboard, wad (14,5%); paper and paperboard, coated with kaolin
(14,4%); self-adhesive plates, sheets, film (9,4%), paper, uncoated (8,3%) and sanitary towels
42
and napkins (6,9%). The major sources of imports of paper and paper products in 2016 were
the EU, which accounted for about 43,4,0% share of the total imports, followed by Eastern
Asia (17,8%), NAFTA (6,1%), South Asia (5,4%) and Americas Rest (4,5%).
Table 4.43: Utilisation and reasons for underutilisation of production capacity by large enterprises: Paper
and paper products (percentage)
Period Utilisation Reasons for underutilisation
Total
underutilis
ation
Shortage of Insufficient
demand
Other
Raw
materials
Labour
Skilled Semi
and
unskilled
2014 86,4 13,6 1,0 1,4 0,1 5,4 5,7
2015 85,0 15,1 0,8 1,5 0,3 5,7 6,8
2016 87,0 13,1 0,6 1,5 0,3 5,6 5,0
Source: Statistics SA (2017)
In accordance with an increase in the real output, the utilisation of production capacity by
paper and paper products increased by 2,0 percentage points in 2016 (see Table 4.43).
Other reasons such as seasonal factors and insufficient demand remained the main reasons
for underutilisation of production capacity by the division during 2016.
Source: Quantec EasyData (2017)
0
5 000
10 000
15 000
20 000
25 000
30 000
35 000
40 000
45 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
Figure 4.36: Number of employment: paper and paper products
43
The total employment in the paper and paper products division registered an improved
negative growth of 3,9% in 2016, following a deceleration of 5,6% in 2015 (see Figure 4.36).
Table 4.44 shows the number of jobs in paper and paper products division by skill level
categories. The semiskilled and unskilled levels of employees category comprises of about
60,2% share of the total employment in paper and paper products division, followed by mid-
level and high level with a share of 30,9% and 9,9%, respectively (see Figure 4.36).
Table 4.44: The skill level of employees: Paper and paper products
Skill level 2016 % share in 2016
High level 3 331 8,9
Mid-level 11 516 30,9
Semiskilled and unskilled 22 427 60,2
Informal - -
Total 37 274 100,00
Source: Quantec EasyData (2017)
4.10 RUBBER PRODUCTS
Source: Quantec EasyData (2017)
In 2016, the real output of rubber products rebounded by 2,1%, following a contraction of
5,4% in 2015. However, the real value added of rubber products registered an improved
negative growth of 2,6% in 2016. The output price of rubber products moderated by 3,7% in
0
2 000
4 000
6 000
8 000
10 000
12 000
14 000
16 000
18 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.37: Real output and value added: rubber products
Real value added Real output
44
2016, following a growth of 6,2% registered in 2015. While the intermediate input price
increased modestly by 3,9% in 2016, following a 3,8% growth it registered in 2015 ( see figure
4.37).
Source: Quantec EasyData (2017)
The real gross domestic fixed investment for the rubber division rebounded by 143,3% in 2016,
following a contraction of 1,4% in 2015 (see Figure 4.38). Table 4.45 shows the value of gross
fixed capital formation by type of asset. During 2016, gross fixed capital formation increased
for building and construction works and machinery and other equipment by 246,0% and
137,3%, respectively.
Table 4.45: Gross fixed capital formation by type of asset: Rubber products (R million)
Asset type
2014
2015 2016
% change
(2015-2016)
Total 462.8 450.0 1095.1 143,4
Machinery and other equipment 438.9 421.2 999.3 137,3
Buildings and construction works 21.4 27.4 94.8 246,0
Transport equipment 2.5 1.4 1.0 -28,6
Source: Quantec EasyData (2017)
0
200
400
600
800
1 000
1 200
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.38: Real gross domestic fixed investment: rubber products
45
Source: Quantec EasyData (2017)
The real exports of rubber products decelerated by 14,4% in 2016, following a 2,3% growth in
2015. Similarly, the real imports of rubber products contracted by 7,2% in 2016, following a
6,9% rebound in 2015. As a result the trade deficit narrowed from R7 066 million in 2015 to R6
029 million in 2016. The export-to-output ratio moderated by 46,6% in 2016, following growth
of 50,2%, similarly, import-to-domestic demand ratio moderated by 66,8% in 2016, following a
growth of 67,6% in the preceding year.
Table 4.46: The top five exported rubber products in 2016
Product Description HS code R’ million % share
New pneumatic rubber tyres 4011 2 761,1 26,9
Articles of plastics 3926 932,9 9,1
Tubes, pipes & hoses & their fittings, of
plastics 3917 923,3 9,0
Footwear, outer sole & upper rubber 6402 455,5 4,4
Articles of vulcanised rubber 4016 436,6 4,3
Source: Quantec EasyData (2017)
The top five exported rubber products during 2016 are shown in Table 4.46. A new pneumatic
rubber tyre comprised of a 26,9% share of total exports of rubber products. The main export
destinations during 2016 for the rubber products division were the SADC (49,8%), the EU
(7,8%), Northern Africa (2,8%), NAFTA (2,5%) and ) Sub-Saharan Africa (1,8%).
0
2 000
4 000
6 000
8 000
10 000
12 000
14 000
16 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illi
on
(2005 p
rices)
Figure 4.39: Trade balance of rubber products
Export Import
46
Table 4.47: The top five imported rubber products in 2016
Product Description HS code R’ million % share
New pneumatic rubber tyres 4011 6 947,9 29,4
Footwear, outer sole & upper rubber 6402 3 673,1 15,5
Articles of plastics 3926 2 036,5 8,6
Articles of vulcanised rubber 4016 1 569,9 6,6
Footwear, outer sole rub 6404 1 292,7 5,5
Source: Quantec EasyData (2017)
Table 4.47 presents the top five imported rubber products during 2016. The new pneumatic
rubber tyres accounted for 29,4% of the total imports of rubber products. The main sources of
imports in 2016 were Eastern Asia (36,9%),the EU (22,8%), South Asia (14,7%), NAFTA (6,4%) and
Western Asia (1,8%).
Table 4.48: Utilisation and reasons for underutilisation of production capacity by large enterprises:
Rubber products (percentage)
Period Utilisation Reasons for underutilisation
Total
underutilisa
tion
Shortage of Insufficient
demand
Other
Raw
materials
Labour
Skilled Semi and
unskilled
2014 83,1 17,0 0,4 0,9 0,0 15,5 0,2
2015 80,0 20,1 0,4 0,9 0,0 14,9 3,9
2016 84,2 15,8 0,5 0,9 0,0 12,3 2,2
Source: Statistics SA (2017)
The utilisation of production capacity for the rubber products division increased by 4,2
percentage points (see Table 4.48). Insufficient demand still remained the main reason for
the underutilisation of production capacity in the division, followed by other reasons such as
lower productivity.
47
Source: Quantec EasyData (2017)
The total employment in the rubber division moderated by 0,6% in 2016, following a 2,2%
rebound in the preceding year (see table 4.40). Table 4.49 shows the number of employees
in different skill level categories. The semi-skilled and unskilled employees (66,5%) comprises
of a high share of employment in the rubber products division, followed by mid-level and
high level at 23,2% and 10,3%, respectively, in 2016.
Table 4.49: The skill level of employees: Rubber products
Skill level 2016 % share in 2016
High level 1 169 10,3
Mid-level 2 639 23,2
Semiskilled and unskilled 7 566 66,5
Informal - -
Total 11 374 100,00
Source: Quantec EasyData (2017)
0
2 000
4 000
6 000
8 000
10 000
12 000
14 000
16 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
Figure 4.40: Number of employment: rubber products
48
4.11 FURNITURE
Source: Quantec EasyData (2017)
During 2016, the real output of furniture decelerated by 14,2%, following a deceleration of
5,7% in 2015. Similarly, the real value added decelerated by 7,3% in 2016 as compared to a
4,3% contraction registered in the previous year (see Figure 4.41). The output price in the
furniture division grew substantially by 19,6% in 2016, following a 8,2% growth in 2015. Similarly,
the intermediate input price grew substantially by 19,3% in 2016, following a 6,6% growth in
the preceding year.
Source: Quantec EasyData (2017)
During 2016, the real gross domestic fixed investment of the furniture division rebounded by
32,3%, following a 8,4% growth in 2015 (see Figure 4.42)). The gross fixed capital formation for
machinery and other equipment, building and construction works increased by 32,8% and
0
5 000
10 000
15 000
20 000
25 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.41: Real output and value added: furniture
Real value added Real output
0
50
100
150
200
250
300
350
400
450
500
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.42: Real gross domestic fixed investment: furniture
49
61,0% in 2016, respectively. However, it decreased for transport equipment by -46,7% in 2016
(see Table 4.50).
Table 4.50: Gross fixed capital formation by type of asset: Furniture (R million)
Asset type
2014
2015 2016
% change
(2015-2016)
Total 208.2 190.7 252.5 32,2
Machinery and other equipment 189.4 181.8 241.4 32,8
Buildings and construction works 12.7 5.9 9.5 61,0
Transport equipment 6.1 3.0 1.6 -46,7
Source: Quantec EasyData (2017)
Source: Quantec EasyData (2017)
During 2016, the real exports of the furniture division decelerated by 19,2%, following a 17,1%
deceleration recorded in the previous year. However, the imports of furniture division has
contracted by 10,7% in 2016, following a 9,8% rebound registered in 2015. As a result, trade
deficit widened from R1 469 million in 2015 to R1 572 in 2016. However, the export-to-output
ratio moderated by 25,7% in 2016, following a growth of 26,0% while import-to-domestic
0
1 000
2 000
3 000
4 000
5 000
6 000
7 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
R m
illio
n (
2005 p
rices)
Figure 4.43 : Trade balance of furniture
Export Import
50
demand ratio moderated by 33,3% in 2016, following a growth of 33,0% in the preceding
year.
Table 4.51: The top four exported furniture products in 2016
Product Description HS code R’ million % share
Seats and parts 9401 1 521,8 27,9
Furniture 9403 1 256,5 23,0
Articles of aluminum 7616 367,7 6,73
Mattress 9404 363,4 6,7
Hardware, fixtures, castors 8302 135,2 2,5
Source: Quantec EasyData (2017)
The main exports of furniture products were seats and parts (HS9401) amounting to R1 521.8
million, with a share of approximately 27,9% in 2016. Furniture (H9403) constituted about 23,0%
(see Table 4.51). During the period under review, the SADC and the EU were the main export
destinations, followed by NAFTA, Western Asia and Sub-Sahara Africa (excluding the SADC).
) Table 4.52: The top four imported furniture products in 2016
Product Description HS code R’ million % share
Seats and parts 9401 3 659,0 46,5
Furniture 9403 1 984,2 25,4
Mattress supports 9404 45,8 0,6
Slates and boards 9610 25,3 0,3
Source: Quantec EasyData (2017)
Table 4.52 presents the top four imported furniture products in 2016. Seats and parts (46,5%)
and furniture (25,4%) were the main imported furniture products in 2016. The major sources of
imports were Eastern Asia (39,7%), followed by the EU (26,5%), South Asia (9,9%) and NAFTA
(3,8%).
51
Table 4.53: Utilisation and reasons for underutilisation of production capacity by large enterprises:
Furniture (percentage)
Period Utilisation Reasons for underutilization
Total
underutilisa
tion
Shortage of Insufficient
demand
Other
Raw
materials
Labour
Skilled Semi and
unskilled
2014 86,5 13,5 1,0 1,5 0,0 10,9 0,2
2015 79,9 20,1 0,8 0,8 0,8 17,2 0,7
2016 81,5 18,6 1,0 0,3 1,6 15,7 0,0
Source: Statistics SA (2017)
During 2016, the utilisation capacity of the furniture division increased by 1,6 percentage
points. Insufficient demand was the main reason for underutilisation of production capacity
in 2016, which is followed by shortage of raw materials, skilled labour and semi and unskilled
labour (see Table 4.53).
Source: Quantec EasyData (2017)
The total number of employment in the furniture division, as shown in Figure 4.44, contracted
by 7,9% in 2016 as compared to the 0,1% contraction registered in the previous year. Formal
employment also decelerated by 6,4%, following a 0,8% growth in the preceding year. Table
0
10 000
20 000
30 000
40 000
50 000
60 000
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
Figure 4.44: Number of employment: furniture
Informal Formal Total
52
4.54 below shows the composition of jobs in the furniture division based on the skill level. The
semiskilled and unskilled employee level (60,5%) comprises of the larger share of jobs, which is
followed by mid-level, informal and high-level skill levels employees with a share of 21,1%,
13,7% and 4,7%, respectively in 2016.
Table 4.54: The skill level of employees: Furniture
Skill level 2016 % share in 2016
High level 1 558 4,7
Mid-level 6 993 21,1
Semi-skilled and unskilled 20 049 60,5
Informal 4 542 13,7
Total 33 141 100,00
Source: Quantec EasyData (2017)
5. CONCLUSION
The global economy growth moderated by 3,1% in 2016, while South African economy grew
by 0,3% in 2016. However, with respect to the agro-processing industry, its real output further
decreased by 0,1% in 2016, following a contraction of 0,1% in 2015. The real value added of
the agro-processing industry remained unchanged in 2016 as compared to a 3,5%
acceleration growth in 2015.
The divisions that showed growth in real value added were food, tobacco, beverages,
textiles and wood and wood products. However, the decline was witnessed in the following
divisions: leather and leather products, furniture, wearing apparel, rubber products, footwear
and paper and paper products.
The divisions that grew in real outputs of agro-processing were: wood and wood products,
tobacco, rubber products, food products and textiles. However, furniture, wearing apparel,
leather and leather products, footwear, paper and paper products and beverages showed
a decline in 2016. The real gross fixed investment in the agro-processing industry rebounded
by 6,5% in 2016, following a 13,3% improved negative growth in 2015.
The real export of agro-processing divisions contracted in 2016, following a moderate growth
in 2015. Similarly, the real import of agro-processing divisions contracted in 2016, following a
rebound in 2015. As a result of a higher contraction in real import of agro-processing relative
53
to exports, trade balance of agro-processing industry widened from R82 million in 2015 to
R9 259 million in 2016.
Owing to further negative decline in agro-processing real output, the total employment in
the agro-processing industry contracted, with 1 285 jobs shed in 2016 in contrast to 16 391
jobs created in 2015. In 2016, the divisions that created jobs were food products, leather and
leather products, tobacco and rubber products, while jobs were shed in beverages,
footwear, textiles, wood and wood products, furniture and wearing apparel.
54
REFERENCES
FAO (1997), The State of Food and Agriculture. Rome: Food and Agriculture Organization
IMF (2017), World Economic Outlook, March 2017. International Monetary Fund
Quantec EasyData (2017), EasyData by Quantec. Accessed in September 2017
Reserve Bank (2017), Quarterly Bulletin March 2017. South African Reserve Bank
Statistics SA (2017), Manufacturing: Utilisation of Production Capacity by Large Enterprises.
Statistics South Africa
55
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