Quarterly Economic Review of the Food and Beverages ... · industry, wholesale and retail sectors...
Transcript of Quarterly Economic Review of the Food and Beverages ... · industry, wholesale and retail sectors...
Quarterly Economic Review of the Food
and Beverages Industry in South Africa
October - December 2017
Volume 4, number 2
DIRECTORATE: AGRO-PROCESSING SUPPORT
agriculture,forestry & fisheries
i
PREFACE
The agro-processing industry is among the sectors identified by the Industrial Policy Action Plan
(IPAP) and the National Development Plan for its potential to spur growth, development and
job creation via its strong backward and forward linkages with the other sectors of the
economy. DAFF established the Directorate: Agro-processing Support in 2011 to facilitate the
processing of raw primary agriculture, forestry and fisheries commodities into value added
products.
One of the functions of the directorate is to provide timely and updated economic information
regarding the agro-processing industry as part of monitoring and evaluating the performance
of the industry. Additionally, economic indicators provide an insight into the effects of
economic policies and other exogenous factors. To achieve this purpose, the directorate
publishes regular quarterly economic reviews of the agro-processing industry.
The main economic indicators reviewed are the changes in prices, production, capacity
utilisation, value of sales, formal employment and trade. An outlook of the industry for the next
quarter is also presented. In addition, some indicators of the food and beverages service
industry, wholesale and retail sectors are reviewed to evaluate the forward linkages of the
food and beverages industry.
Any comments and suggestions on the content of the publication are most welcome.
Mahlagedi Victor Thindisa
Director: Agro-processing Support
Pretoria
Disclaimer: The Department of Agriculture, Forestry and Fisheries did everything to ensure the
accuracy of the information reported in this publication. The department will, however, not be
liable for the results of action based on this publication.
ii
CONTENTS
PREFACE ................................................................................................................................................ i
1. INTRODUCTION ........................................................................................................................... 1
2. FOOD PRODUCTS ....................................................................................................................... 1
2.1 PRICE ..................................................................................................................................... 2
2.2 PRODUCTION ...................................................................................................................... 4
2.3 VALUE OF SALES .................................................................................................................. 6
2.4 INCOME FROM FOOD SALES IN THE SERVICE INDUSTRY .......................................... 8
2.5 TRADE .................................................................................................................................... 9
2.6 EMPLOYMENT .................................................................................................................... 16
2.7 OUTLOOK ............................................................................................................................ 18
3. BEVERAGES ................................................................................................................................ 19
3.1 PRICE ................................................................................................................................... 19
3.2 PRODUCTION .................................................................................................................... 20
3.3 VALUE OF SALES ................................................................................................................ 21
3.4 INCOME FROM BAR SALES IN THE SERVICE INDUSTRY ............................................ 22
3.5 TRADE .................................................................................................................................. 23
3.6 EMPLOYMENT .................................................................................................................... 31
3.7 OUTLOOK ............................................................................................................................ 31
4. CONCLUSION ............................................................................................................................ 32
5. REFERENCES ............................................................................................................................... 33
NOTES: ................................................................................................................................................. 34
Compiled by Directorate: Agro-processing Support
Department of Agriculture, Forestry and Fisheries
Sefala Building
503 Belvedere Street, Arcadia, South Africa
All correspondence can be addressed to:
Director: Agro-processing Support
Private Bag X416, Pretoria 0001, South Africa
Tel.: +27 (12) 319 8457
Fax: +27 (12) 319 8093
E-mail: [email protected]
This publication is also available on the internet at: http://www.daff.gov.za
1
1. INTRODUCTION
The South African growth in the real value added by the primary sector decelerated notably
to 4,9% in the final quarter of 2017, following three consecutive quarters of double-digit
increases. The slowdown reflected a contraction in the mining sector and a slight moderation
in real output growth in the agricultural sector. For 2017 as a whole, the real gross value added
(GVA) by the primary sector increased by a firm 7,5% and contributed 0,7 percentage points
to overall annual gross domestic products(GDP) growth. This turnaround in the agricultural
sector was brought about by the end of the prolonged drought in the northern parts of the
country, which benefited field crop production as reflected by the 2017 bumper maize crop
and positive spillovers to some other sectors of the economy (Reserve Bank, 2017).
During 2017: Q4, the quarter-to-quarter physical volume of production of meat, fish, fruit, etc.
and dairy products rebounded as compared to the last quarter. However, grain mill products
and other food products grew during the period under review. The year-on-year meat, fish,
fruit, etc., dairy and other food products grew while grain mill products registered an improved
negative growth of 2,6% during the period under review. The quarter-to-quarter seasonally
adjusted value of sales of food products grew by 2,0%, following a 0,3% growth in the previous
quarter. Similarly, the year-on-year seasonally adjusted value of sales grew by 2,1%, as
compared to a growth of 0,9% in the previous quarter.
The trade balance of food and beverages grew from R2 241,6 million in the previous quarter
to R3 054,6 million in 2017:Q4. The employment in the food, beverages and tobacco divisions
rebounded quarter-to-quarter by 0,4% from 1,3% growth in the preceding quarter. However,
employment contracted by 1,9% year-on-year. As a result, 957 jobs were created in the division
during the quarter.
This quarterly review provides an analysis of the economic performance of the food and
beverages industry. The variables that are analysed are exports and imports of food and
beverages, employment, net balance survey, price index, volume of production, sales,
utilisation capacity, and wholesale and retail performances.
2. FOOD PRODUCTS
According to the Standard Industrial Classification, the food industry incorporates groups of
products that are categorised into the following four codes:
Code 301 refers to manufacturing, processing and preservation of meat, fish,
vegetables, fruit, oils and fats
Code 302 refers to manufacturing, processing and preservation of dairy products
Code 303 refers to manufacture of grain mill products, starch products and prepared
animal feeds
Code 304 refers to manufacture of other food products like bread, sugar, chocolate,
pasta, coffee, nuts and spices.
2
Hereafter, food products refer to those primary agricultural and fisheries products that have
undergone some form of change through manufacturing and processing or performed some
value addition activities such as preservation.
2.1 PRICE
Consumer Price Index (CPI)1
During 2017:Q4, with the economy boosted by growth in consumption expenditure by
households, the quarter-to-quarter consumer price index of all items grew by 0,9%, following a
growth of 0,6% in the previous quarter. Some of the items that grew in this period were: milk,
eggs and cheese by 1,5% from a 1,0% growth in the last quarter. Fruit moderated by 3,9%,
vegetables and fish moderated by 4,2% and 0,1% respectively. Oils and fats rebounded by
0,6%(See Table 2.1). Similarly, the year-on-year consumer price index of all items moderated
by 4,5% in 2017: Q4, following a 4,6% growth recorded in the previous quarter. Food items that
moderated year-on-year were: meat; sugar, sweets and desserts; and fish, which moderated
by 15,1%; 4,8% and 2,6%, respectively. However vegetables rebounded by 1,8%.
Table 2.1: Consumer price index of food products
Indices % change between
Food products
Weight 2016: Q4 2017: Q3 2017: Q4
2016: Q4
and 2017:
Q4
2017: Q3
and
2017: Q4
All items (CPI
Headline)
100 99,6 103,2 104,1 4,5 0,9
Food and non-
alcoholic beverages
15,4 99,3 103,0 103,9 4,6 0,9
Food 14,2 99,4 102,9 103,9 4,5 0,9
Processed 6,8 99,9 103,1 102,9 3,0 -0,1
Unprocessed 7,4 98,9 102,8 104,6 5,8 1,8
Bread and cereals 3,5 99,7 96,0 94,3 -5,4 -1,8
Meat 4,6 98,1 110,6 112,9 15,1 2,1
Fish 0,4 100,6 103,2 103,3 2,6 0,1
Milk, eggs and
cheese
1,7 100,1 102,6 104,1 4,0 1,5
Oils and fats 0,5 100,3 96,9 97,4 -2,9 0,6
Fruit 0,2 98,3 90,5 94,0 -4,3 3,9
Vegetables 1,6 99,7 97,4 101,5 1,8 4,2
Sugar, sweets and
deserts
0,6 100,1 106,7 104,8 4,8 -1,7
1 Stats SA defines CPI as a current social and economic indicator that is constructed to measure changes over time in
the general level of prices of consumer goods and services that households acquire, use, or pay for.
3
Other food 0,9 99,8 101,5 100,1 0,1 -0,1
Source: (Stats SA, 2017a)
Producer price index (PPI)2
The quarter-to-quarter and year-on-year producer price index for all final manufactured goods
registered a positive growth of 1,8% and 5,1% respectively during the period under review.
Sugar, oils and fats; fruits and vegetables; food products; and dairy products grew by 2,5%,
1,4% and 0,7%, 0,3% and 0,2% respectively. However, grain mill products, bakery products,
meat and meat products, and other food products registered a negative growth of 3,3%, 0,6%,
0,6% and 1,2% respectively in 2017: Q4. Fish and fish products remained unchanged during the
period under review. Grain mill products; sugar; Starch and starch products, animal feeds; Oils
and fats; other food products; and meat and meat products registered negative growth of
17,3%, 10,7%,10,6%,1,3%, 1,2% and 1,2% respectively during 2017: Q4.
Table 2.2: Producer price index of food products
Indices % change between
Food products Weight 2016: Q4 2017: Q3 2017: Q4
2016: Q4
and
2017: Q4
2017: Q3
and
2017: Q4
Final manufactured
goods (Headline PPI)
100 99,5 102,8 104,6 5,1 1,8
Food products 26,3 85,0 85,9 86,2 1,4 0,3
Meat and meat
products
4,5 89,2 88,6 88,1 -1,2 -0,6
Fish and fish products 1,6 82,2 83,1 83,1 1,0 0.0
Fruit and vegetables 2,4 98,9 102,9 103,7 4,9 0,7
Oils and fats 0,5 99,8 97,1 98,5 -1,3 1,4
Dairy products 3,3 100,0 101,8 102,0 2,0 0,2
Grain mill products 1,8 100,7 86,1 83,3 -17,3 -3,3
Starch and starch
products, animal
feeds
1,6 100,1 90,4 89,5 -10,6 -1,0
Other food products 0,9 100,6 99,7 99,4 -1,2 -0,3
Bakery products 6,9 100,4 101,3 100,8 0,3 -0,6
Sugar 1,9 102,1 88,9 91,1 -10,7 2,5
Source: Stats SA (2017b)
2 OECD defines the Producer Price Index (PPI) as a measure of the change in the prices of goods either as they leave their place
of production or as they enter the production process. The PPI can be used as an economic indicator of inflation, as an escalator in contracts and as a deflator in the calculation of the national accounts.
4
Import unit value index3
Table 2.3 presents the import unit value of selected food products. On a demand perspective,
an increase in unit value is an indicative of a growing demand. During the period under review,
the import unit value of food products registered a positive growth of 1,4% quarter-to-quarter
and negative growth of 6,8% year-on-year. The fats and oils registered a negative growth of
6,8% year-to-year and 1,4% quarter-to-quarter, while grain mill products grew by 0,5% year-on-
year and 1,6% quarter-to-quarter.
Table 2.3: Import unit value index of food products
Source: Stats SA (2017c)
2.2 PRODUCTION
Source: Statistics SA (2017d)
3 IMF defines export and import unit value index as a measure the overall change in the prices of transactions in goods and
services between the residents of an economic territory and residents of the rest of the world. The average unit value is obtained by dividing the value of exported/imported goods in monetary terms with the respective volume/weight of the goods.
50
60
70
80
90
100
110
120
201
2: Q
4
201
3: Q
1
201
3: Q
2
201
3: Q
3
201
3: Q
4
201
4: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
201
5: Q
1
201
5: Q
2
201
5: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4Ind
ex (
2010 =
100)
Figure 2.1: Seasonally adjusted physical volume of production: food
products
Meat, fish, fruit etc Dairy products Grain mill products Other food products
Food products
Indices % change between
2016: Q4 2017: Q3 2017: Q4
2016: Q4
and 2017:
Q4
2017: Q3
and 2017:
Q4
Food (total) 100,6 92,5 93,7 -6,8 1,4
Fats and oils 100,6 92,5 93,7 -6,8 1,4
Grain mill products 104,4 103,3 105,0 0,5 1,6
5
Figure 2.1 presents a physical volume of production of the food products. The quarter-to-
quarter physical volume of production of meat, fish, fruit, etc. and dairy products rebounded
by 0,7% and 0,3% from a 0,1% and 0,6%, respectively in the last quarter. Grain mill products and
other food products grew by 1,5% and 1,7% as compared to a growth of 0,6% and 1,0%,
respectively in the last quarter. Conversely, meat, fish, fruit, etc., dairy and other food products
grew by 4,0%, 5,3% and 9,7%, respectively year-on-year, while grain mill products registered an
improved negative growth of 2,6% as compared to a 6,3% contraction in 2017: Q3. The growth
in food production could be a attributed to an increase in households expenditure in 2017:Q4.
Production capacity
Table 2.4: Utilisation and reasons for underutilisation of production capacity by large
enterprises: Food products (percentage)
Period Utilisation Reasons for underutilisation
Total
under-
utilisation
Shortage of Insufficient
demand
Other
Raw
materials
Labour
Skilled Semi and
unskilled
2016: Q4 82,2 17,8 1,8 1,5 0,3 9,9 4,3
2017: Q3 82,0 18,0 2,6 1,4 0,3 10,8 2,9
2017: Q4 82,7 17,3 2,0 1,4 0,6 10,4 2,9
Source: Statistics SA (2017e)
The utilisation of production capacity by large enterprises of food products showed a marginal
growth year-on-year and moderate growth quarter-to-quarter (see Table 2.4). Insufficient
demand and other reasons such as low productivity and shortage of raw materials are the
main reasons of underutilisation during the period under review.
6
2.3 VALUE OF SALES
Source: Statistics SA (2017d)
During 2017: Q4, in line with respective increases in food production and households’
expenditure, the quarter-to-quarter seasonally adjusted value of sales of food products grew
by 2,0%, following a 0,3% growth in the previous quarter. Similarly, the year-on-year seasonally
adjusted value of sales grew by 2,1%, as compared to a 2,1% growth in the previous quarter
(see Figure 2.2).
Figure 2.3 below shows the performance of meat, fruit and fish; dairy products; grain mill
products; and other food products. Meat, fruit and fish and ‛‛other food products’’ grew by
1,7% and 3,4%, respectively, quarter-to-quarter. Dairy products moderated by 1,3%, while grain
mill products rebounded by 0,5% quarter-to-quarter. However, meat, fruit and fish; dairy
products and ‛‛other food products’’ grew by 5,3%; 7,7% and 8,7%, respectively year-on-year.
Moreover, dairy products registered an improved negative growth of 15,1% in 2017:Q4 as
compared to a 15,5% contraction recorded in the last quarter.
20,000
22,000
24,000
26,000
28,000
30,000
32,000
34,000
20
12:
Q4
20
13:
Q1
20
13:
Q2
20
13:
Q3
20
13:
Q4
20
14:
Q1
20
14:
Q2
20
14:
Q3
20
14:
Q4
20
15:
Q1
20
15:
Q2
20
15:
Q3
20
15:
Q4
20
16:
Q1
20
16:
Q2
20
16:
Q3
20
16:
Q4
20
17:
Q1
20
17:
Q2
20
17:
Q3
20
17:
Q4
R m
illio
n
Figure 2.2: Seasonally adjusted value of sales (current prices): food
products
7
Source: Statistics SA (2017d)
Wholesale and retail sales4
The current value of wholesale and retail sales of food, beverages and tobacco are given in
Figure 2.4. The quarter-to-quarter wholesale and retail sales of food, beverages and tobacco
accelerated by 15,3% and 21,0%, as compared to a 0,5% and 3,8% growth, respectively, in
2017: Q4. However, the year-on-year retail sales of food, beverages and tobacco moderated
by 9,2%, while wholesale grew modestly by 6,1%. As a result, the current value of income from
wholesale and retail sales of food, beverages and tobacco increased from R26,2 billion and
R7,0 billion in the previous quarter to R30,3 billion and R8,5 billion, respectively in 2017: Q4. This
is boosted by an increase in households’ expenditure, which is the case during festive seasons.
4 Statistics South Africa (Stats SA) conducts a monthly survey covering enterprises in the wholesale and retail trade industry. The results of
the monthly wholesale and retail trade sales survey are used to compile estimates of the gross domestic product (GDP) and its components, which are used in monitoring the state of the economy and formulation of economic policy. These statistics are also used in the analysis of comparative business and industry performance.
50
2,050
4,050
6,050
8,050
10,050
12,050
14,050
201
2: Q
4
201
3: Q
1
201
3: Q
2
201
3: Q
3
201
3: Q
4
201
4: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
201
5: Q
1
201
5: Q
2
201
5: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4
Ind
ex (
2010 =
100)
Figure 2.3: Seasonally adjusted value of sales (current prices): food
products
Meat , fish, fruit etc Dairy products Grain mill products Other food products
8
Source: Statistics SA (2017f, 2017g)
2.4 INCOME FROM FOOD SALES IN THE SERVICE INDUSTRY6
Table 2.5 below shows the income from food sales in the service industry, which includes food
sales in restaurants and coffee shops, take-away and fast food outlets and catering services.
Source: Statistics SA (2017)
The total current income from food sales in the service industry moderated by 9,2% in 2017: Q4,
from a 9,5% growth in the preceding quarter. The quarter-to-quarter increase can be
attributed to moderate growth in restaurant and coffee shops and catering services by 7,7%
and 5,0% from 13,7% and 5,4% in 2017: Q3. However, take-away/fast food accelerated by
12,5%, as compared to a 5,6% growth in the last quarter. Similarly, the year-on-year income
from food sales moderated by 5,4% following a 9,5% growth in 2017: Q3. Restaurants and
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
201
2: Q
4
201
3: Q
1
20
13
: Q
2
201
3: Q
3
201
3: Q
4
20
14
: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
201
5: Q
1
201
5: Q
2
201
5: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4
R m
illio
nFigure 2.4: Wholesale and retail trade sales of food, beverages and
tobacco (current prices)
Wholesale Retail
3,000
3,500
4,000
4,500
5,000
5,500
201
2:…
201
3:…
201
3:…
201
3:…
201
3:…
201
4:…
201
4:…
201
4:…
201
4:…
201
5:…
20
15
:…
201
5:…
201
5:…
201
6:…
201
6:…
201
6:…
201
6:…
201
7:…
201
7:…
201
7:…
201
7:…
R m
illio
n
Figure 2.5: Income from food sales in the service industry
9
coffee shops and take-away/fast food moderated by 5,8% and 5,2%, respectively, while
catering services rebounded by 4,9% year-on-year. As a result, the industry grew by R4 698,9
million in the current quarter, from R5,131,3 million in the last quarter (see Figure 2.6)
Source: Statistics SA (2017h)
2.5 TRADE
Main food export destinations and products
Figure 2.7 shows food export destinations’ share of continents. Asia was the main export
destination during 2017: Q4. It accounted for 36% of the total share of exports, which is followed
by Africa at 26%, then Europe and Asia with a share of 26% and 21%, respectively. The
Americas’ share was 10%, while Oceania’s share is minimal at 1,0%. The dominance of Asia is
likely linked with its population size and a move towards the consumption of processed food
driven by an increasing e in households’ income.
Source: Quantec EasyData (2017)
500
1,000
1,500
2,000
2,500
3,000
201
2: Q
4
201
3: Q
1
201
3: Q
2
201
3: Q
3
201
3: Q
4
201
4: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
201
5: Q
1
201
5: Q
2
20
15
: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4
R m
illio
n
Figure 2.6: Income from food sales in the service industry
Restaurants and coffee shops Take-away/fast food outlets
Catering services
Africa
26%
Americas
10%
Asia
34%
Europe
21%
Oceania
1%
Others
8%
Figure 2.7: The food export destinations'share of continents in 2017:
Q4
10
Source: Quantec EasyData (2017)
Figure 2.9 shows the food export destination’s share of the main regions5 in 2017: Q4. Among
the main regions, Eastern Asia accounted the highest share of food exports (21%), followed by
the European Union (20%), SADC (Excluding SACU) (11%), while SACU (Excluding RSA)
accounted for 11% share. NAFTA accounted for 8%, while South central Asia, Western Asia and
South-Eastern Asia accounted for a combined share of 14% during the period under review.
Source: Quantec EasyData (2016)
5 The main regions which are included in the analysis are the top eight regions: SADC, Western Africa, EU; NAFTA (North Atlantic
Free Trade Area consists of USA, Canada and Mexico); Eastern Asia (includes China, Japan, North Korea, South Korea); Western Asia (mostly middle east countries); South Central Asia (include India, Pakistan and Bangladesh) and Australia and New Zealand.
05
10152025303540
20
12:
Q4
20
13:
Q1
20
13:
Q2
20
13:
Q3
20
13:
Q4
20
14:
Q1
20
14:
Q2
20
14
: Q
3
20
14:
Q4
20
15:
Q1
20
15:
Q2
20
15
: Q
3
20
15:
Q4
20
16:
Q1
20
16:
Q2
20
16:
Q3
20
16:
Q4
20
17:
Q1
20
17:
Q2
20
17:
Q3
20
17:
Q4
%Figure 2.8: The food export destination's share of the continents
(2012: Q4 – 2017: Q4)
Africa Americas Asia Europe
SADC
(excluding
SACU)
11%
SACU (Excluding
RSA)
11%
NAFTA
8%
South-central
Asia
7%
South-eastern
Asia
3%
European Union
20%
Eastern Asia
21%
Western Asia
4%
Others
15%
Figure 2.9: The food export destinations's hare of main regions in 2017:
Q4
11
Source: Quantec EasyData (2017)
Figure 2.10 shows that the eight countries that accounted for food exports share during 2017:
Q4 were from: China (11,1%), the United states of America (7,9%), India (5,2%), Japan (4,5%),
Botswana (4,4%), the United Kingdom (4,1%), Namibia (4,0%), Mozambique (3,2%), the
Netherlands (3,0%) and the Republic of Korea (2,5%).
Table 2.5 presents the major exported food products during 2017: Q4, while Table 2.6 shows
the high and low export performers of food products during the quarter under review by
comparing the export values of the present quarter to the same quarter of the previous year
(year-on-year).
Table 2.5: Major exported food products in 2017: Q4
HS Code Food product
Total amount
(R million)
HST230400 Oil-cake and other solid residues 587,0
HST190531 Sweet biscuits 108,0
HST170410 Chewing gum 90,1
HST180400 Cocoa butter, fat and oil 76,8
HST151620 Vegetable fats and oils and their fractions 62,4
HST190230 Other pasta 57,0
HST180500 Cocoa powder 51,4
HST110100 Wheat or meslin flour 49,2
0
2
4
6
8
10
12
Ch
ina
Un
ite
d S
tate
s
Ind
ia
Ja
pa
n
Bo
tsw
an
a
Un
ite
d K
ing
do
m
Na
mib
ia
Mo
zam
biq
ue
Ne
the
rla
nd
s
Re
pu
blic
of
Ko
rea
%Figure 2.10: The share of top ten food export destination countries in
2017: Q4
12
HST190532 Waffles and wafers 29,1
HST210500 Ice cream and other edible ice 19,5
HST190410 Prepared foods obtained by the swelling or roasting of
cereals or cereal products 13,5
HST160100 Sausages and similar products, of meat, meat offal or
blood 8,7
HST190420 Prepared foods obtained from unroasted cereal flakes 8,3
Source: Quantec EasyData (2017)
Table 2.6: Export performance of food products
HS Code Food products
% Change
compared to a
year ago
High performers
HST180610 Cocoa powder, containing added sugar or other
sweetening matter 218,5
HST040510 Butter 122,2
HST210230 Prepared baking powders 84,1
HST160100 Sausages and similar products of meat, meat offal or
blood; food preparations based on these products 72,0
HST190531 Sweet biscuits 62,6
HST190220 Stuffed pasta, whether or not cooked or otherwise
prepared 40,8
HST190532 Waffles and wafers 37,1
HST170240
Glucose and glucose syrup, containing in the dry state at
least 20% but less than 50% by weight of fructose,
excluding inverted sugar
35,9
HST040310 Yogurt 27,1
HST210500 Ice cream and other edible ice, whether or not
containing cocoa 21,6
HST190230 Other pasta 21,2
HST180400 Cocoa butter, fat and oil 12,7
HST190520 Gingerbread and the like 9,4
HST190540 Rusks, toasted bread and similar toasted products 9,0
Low performers
HST170230
Glucose and glucose syrup, not containing fructose or
containing in the dry state less than 20% by weight of
fructose -12,7
13
Source: Quantec EasyData (2017)
Main source of food imports and imported food products
South Africa’s main source of food imports by continents during 2017: Q4 is presented in Figure
2.11. The Americas accounted for a large share of food imports of 61% in the period under
review, followed by Europe with a 23% share, Asia and Africa with a share of 6% each, while
Oceania accounted for 4% share.
Source: Quantec EasyData (2017)
Africa
6%
Americas
61%
Asia
6%
Europe
23%
Oceania
4%Unallocated
0%
Figure 2.11: The share of continents as a source of food import
(2017: Q4)
HST040690 Other cheese -21,8
HST210130
Roasted chicory and other roasted coffee substitutes and
extracts, essences and concentrates thereof -25,9
HST190240 Couscous -29,3
HST210310 Soya sauce -30,8
14
Source: Quantec EasyData (2017)
Amongst the trading regions, South America accounted for a large share of South African food
imports , which is approximately 47%, followed by the European Union with 23% share, while
NAFTA, SACU (Excluding RSA), Eastern Asia and Australia and New Zealand have a share of
14%, 6,0%, 5,0% and 4,0%, respectively (see Figure 2.13).
Source: Quantec EasyData (2017)
0
10
20
30
40
50
60
70201
2: Q
4
20
13
: Q
1
201
3: Q
2
201
3: Q
3
201
3: Q
4
201
4: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
20
15
: Q
1
201
5: Q
2
201
5: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4
Figure 2.12: The share of continents as a source of food import
(2012:Q4 – 2017:Q4)
Africa Americas Asia Europe
SACU (Excluding
RSA)
6%
South America
47%
NAFTA
14%
Eastern Asia
5%
European Union
23%
Australia and
New Zealand
4%
Unallocated
1%
Figure 2.13: The share of regions as a source of food import
(2017: Q4)
15
Source: Quantec EasyData (2017)
The top ten countries that accounted for a large share of food imports are: Brazil (39,2%), the
United states of America (11,4%), Argentina (6,2%), Germany (5,1%), Ireland (4,9%), Denmark
(4,7%), Australia (3,9%), Namibia (3,3%), Spain (2,8%) and Botswana (2,7%) (See Figure 2.14).
Table 2.6 presents the major imported food products during 2017: Q4. Oil cake (HST230400)
was the leading imported product with an import value of around R587,0 million.
Table 2.7: Top 10 imported food products in 2017: Q4
HS code Food product Total amount
(R million)
HST230400
Oil-cake and other solid residues, whether or not ground
or in the form of pellets, resulting from the extraction of
soya bean oil
587,0
HST190531 Sweet biscuits 108,0
HST170410 Chewing gum, whether or not sugar coated 90,1
HST180400 Cocoa butter, fat and oil 76,8
HST151620 Vegetable fats and oils and their fractions 62,4
HST180500 Cocoa powder, not containing added sugar or other
sweetening matter 51,4
HST110100 Wheat or meslin flour 49,2
HST151800
Animal or vegetable fats and oils and their fractions,
boiled, oxidised, dehydrated, sulphurised, blown or
polymerised by heat in vacuum or in inert gas or
otherwise chemically modified, excluding those of
heading 15.16; inedible mixtures or preparations
8,1
HST151710 Margarine, excluding liquid margarine 2,1
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
40.0
45.0
Bra
zil
Un
ite
d S
tate
s
Arg
en
tin
a
Ge
rma
ny
Ire
lan
d
De
nm
ark
Au
stra
lia
Na
mib
ia
Sp
ain
Bo
tsw
an
a
% s
ha
reFigure 2.14: The share of top ten countries as a source of food
import in 2017: Q4
16
Source: Quantec EasyData (2017)
Source: Quantec EasyData (2017)
Figure 2.15 shows the quarterly trade balance of food products. The quarter-to-quarter and
year-on-year exports and imports of food products grew by 5,7% and 16,5% from a 1,8% and
10,7% growth, respectively. Conversely, the quarter-to-quarter imports moderated by 4,0%
from a 10% growth in 2017: Q3, while year-on-year exports registered an improved negative
growth of 2,7%, as compared to a 5,3% in the last quarter. As a result, the trade balance
widened from R456 million in the last quarter to R598.7 million in the current quarter. An increase
in domestic demand could be a reason for growth in imports.
2.6 EMPLOYMENT
Source: Statistics SA (2017i)
0
1,000
2,000
3,000
4,000
5,000
6,000
7,000
8,000
9,000201
2: Q
4
201
3: Q
1
201
3: Q
2
201
3: Q
3
201
3: Q
4
201
4: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
20
15
: Q
1
201
5: Q
2
201
5: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4
R m
illio
n
Figure 2.15: Quarterly trade balance of food products
Export Import
150,000
160,000
170,000
180,000
190,000
200,000
210,000
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
20
17
: Q
3
201
7: Q
4
Figure 2.16: Total number of formal employment: food products
17
Figure 2.16 shows the total number of formal employment in the food products division. The
quarter-to-quarter food products rebounded by 0,8% as compared to a contraction of 2,5%
registered in the previous quarter, however, it grew marginally by 3,9% from 3,4% in the last
quarter. The division created 3 478 jobs during the period under review, which is likely as a result
of an increase in food production.
Source: Statistics SA (2017i)
Figure 2.17 shows the number of formal employment in food products division. The quarter-to-
quarter formal employment of meat, fish, fruit, etc. and other food products rebounded by
5,2% and 0,8% from a 2,9% and 2,5% respective contraction recorded in the previous quarter.
Dairy products registered an improved negative growth of 2,2% as compared to 3,0%
contraction in the last quarter. However grain mill products moderated by 1,8% from 3,8%
growth in the last quarter. The year-on-year formal employment of meat, fish and fruit, etc.,
decelerated by 5,5%, dairy products contracted by 3,4%, grain mill products grew modestly
by 3,3% and other food products grew marginally by 3,9%.
0
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
100,000
20
15
: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
20
17
: Q
2
201
7: Q
3
201
7: Q
4
Figure 2.17: Number of formal employment: food products
Production, processing and preservation of meat, fish, fruit, vegetables, oils and
fatsDairy products
Grain mill products, starches and starch products and prepared animal fat
Other food products
18
2.7 OUTLOOK
Table 2.7: Net balance6 of BER manufacturing survey: food products
2017: Q2 2017: Q3 2017: Q4 2018: Q1*
Domestic sales volumes -3 -12 9 42
Export sales volumes 3 14 20 43
Production volumes 9 17 30 49
Domestic order volumes received -3 6 42 64
Export order volumes received 0 23 37 44
General business conditions -44 -35 0 -3
Number of factory workers -45 -30 -24 9
Fixed investment -27 21 43 -23
Business confidence7 29 32 53
Expected volume of goods imported in
12 months’ time
-35 -8 -6
Expected volume of goods exported in
12 months’ time
17 42 29
Expected real investment in machinery
and equipment in 12 months’ time
-15 22 -37
Expected business conditions in 12
months’ time -28 9 -31
*Expected Source: BER (2017)
A survey of food manufacturing by the Bureau for Economic Research (BER) is presented in
Table 2.7. The survey shows that the year-on-year outlook for 2018: Q1 is positive for all the
variables, except for general business conditions and fixed investment.
6 BER calculates the net balance statistics by subtracting the percentage of the respondents replying “down” from
the percentage replying “up” to a particular question. Respondents are asked to compare the current quarter’s
experience to that of a year ago. A positive net balance implies an improvement (i.e. positive year-on-year growth)
and vice versa. Therefore, the net balance varies from -100 to 100 where -100 is the most negative response; zero is a
situation of no change and 100 is the most positive response.
7 BER calculates the business confidence index by asking respondents to rate current business conditions as “satisfactory” or
“unsatisfactory”. Then the index is derived as a gross percentage of the respondents replying “satisfactory.” A value of 50 is
indicative of neutrality, 100 indicative of extreme confidence and 0 of extreme lack of confidence. An index greater than 50 shows
the majority of respondents are satisfied with the prevailing economic conditions.
19
3. BEVERAGES
Beverages according to SIC classification is code 305 and comprises of the following beverage
products:
Distilling, rectifying and blending of spirits; ethyl alcohol production from fermented
materials
Manufacture of wine
Manufacture of beer and other malt liquors and malt
Breweries, except sorghum beer breweries
Sorghum beer breweries
Manufacture of malt
Manufacture of soft drinks; production of mineral waters.
3.1 PRICE
Table 3.1 below shows the consumer price indices, producer price indices and export unit
value of beverages. The year-on-year and quarter-to-quarter consumer price inflation for
alcoholic beverages grew by 4,5% and 0,9% respectively. The beverages products that grew
during the period under review were: wine, spirits, beer, hot beverages and cold beverages
by 2,0%, 1,1%, 0,2%, 0,2% and 0,2%, respectively, quarter-to-quarter. Similarly, hot beverages,
spirits, beer, wine and cold beverages registered positive growth of 6,9%, 6,9%, 5,2%, 4,5% and
3,5%, respectively, year-on-year. The growths are likely a result of an increase in demand
during the quarter under review.
Table 3.1: Price indices of beverages
Indices % change between
Beverages products
Weight 2016:
Q4
2017:
Q3
2017:
Q4
2016: Q4
and
2017: Q4
2017: Q3
and
2017: Q4
Consumer price indices
All items (CPI
Headline)
100 99,6 103,2 104,1 4,5 0,9
Alcoholic beverages 3,9 99,9 103,4 105,0 5,1 1,6
Spirits 0,8 99,8 105,5 106,7 6,9 1,1
Wine 0,7 99,9 103,0 105,0 5,2 2,0
Beer 2,5 99,9 104,2 104,4 4,5 0,2
Non-alcoholic
beverages
1,2 99,4 104,0 104,2 4,8 0,2
Hot beverages 0,3 100,1 106,8 107,0 6,9 0,2
Cold beverages 0,9 99,2 102,4 102,6 3,5 0,2
Producer price index
20
Beverages 8,5 100,0 103,5 104,5 1,0 4,5
Export Unit value
Beverages 135,2 100,6 92,5 93,7 1,4 -6,8
Source: Stats SA (2017a, 2017b, 2017)
3.2 PRODUCTION
Source: Statistics SA (2017d)
Figure 3.1 presents the seasonally adjusted physical volume of production for beverages.
During 2017: Q4, as demand for beverages products improves, the quarter-to-quarter
seasonally adjusted physical volume of production for beverages registered an improved
negative growth of 0,5% as compared to a 3,0% contraction in the last quarter. However, the
seasonally adjusted physical volume of production for beverages rebounded by 3,5% year-
on-year as compared to a 0,8% contraction in 2017: Q3.
50
60
70
80
90
100
110
201
2: Q
4
20
13
: Q
1
201
3: Q
2
201
3: Q
3
201
3: Q
4
201
4: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
201
5: Q
1
201
5: Q
2
201
5: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
20
17
: Q
3
201
7: Q
4
Ind
ex (
2010 =
100)
Figure 3.1: Seasonally adjusted physical volume of production:
beverages
21
Production capacity
Table 3.2: Utilisation and reasons for underutilisation of production capacity by large
enterprises: Beverages division (percentage)
Period Utilisation Reasons for underutilisation
Total
under-
utilisation
Shortage of Insufficient
demand
Other
Raw
materials
Labour
Skilled Semi and
unskilled
2016: Q4 88,1 11,9 2,1 1,0 0,3 6,3 2,1
2017: Q3 84,7 15,3 4,0 0,9 0,3 7,6 2,5
2017: Q4 87,6 12,4 1,4 0,9 0,6 6,6 3,2
Source: Statistics SA (2017e)
Table 3.2 shows that the year-on-year utilisation capacity moderated during 2017: Q4.
However, it increased modestly as compared to the previous quarter. Insufficient demand
remains the main reason for underutilisation, followed by other reasons such as seasonal
factors.
3.3 VALUE OF SALES
Source: Statistics SA (2017d)
During 2017: Q4, in accordance with improvement in demand, the quarter-to-quarter and
year-on-year seasonally adjusted value of sales for beverages grew by 1,9% and 3,6% in the
quarter under review, following a growth of 0,1% and 1,9% in the previous quarter, respectively
(See Figure 3.2).
8,000
8,500
9,000
9,500
10,000
10,500
11,000
11,500
12,000
201
2: Q
4
20
13
: Q
1
201
3: Q
2
201
3: Q
3
201
3: Q
4
201
4: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
201
5: Q
1
201
5: Q
2
201
5: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4
R m
illio
n
Figure 3.2: Seasonally adjusted value of sales (current prices):
beverages
22
3.4 INCOME FROM BAR SALES IN THE SERVICE INDUSTRY8
Figure 3.3 below shows the total income for bar sales in the food and beverages service
industry in 2017: Q4. The income from bar sales in the food and beverages service industry
grew by 18,0% as compared to 8,2% in the previous quarter. However, it moderated by 3,9%
year-on-year. The total income during the period under review stood at R451,2 million from
R382,3 million in 2017: Q3.
Source: Statistics SA (2017h)
Figure 3.4 below shows the performance of the bar sales in the service industry, which include
restaurant and coffee shops, take-away/fast food outlets and catering services. During 2017:
Q4, restaurant and coffee shops and catering services grew by 17,5% and 22,4%, following a
growth of 9,1% and 2,5%, respectively, in the last quarter. However, during the period under
review, take-away/fast food outlets moderated by 6,1% from a 15,8% growth in the last quarter.
On the other hand, the year-on-year income for restaurants and coffee shops, take-away/fast
food outlets and catering services moderated by 1,1%, 18,3% and 20,4% from a growth of 1,9%,
21,0% and 15,3% in the last quarter, respectively.
8 Income from bar sales refers to income from liquor sales.
0
50
100
150
200
250
300
350
400
450
500
201
2: Q
4
201
3: Q
1
201
3: Q
2
201
3: Q
3
201
3: Q
4
201
4: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
201
5: Q
1
201
5: Q
2
201
5: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4
R m
illio
n
Figure 3.3: Total income from bar sales in the service industry
23
Source: Statistics SA (2017h)
3.5 TRADE
Main export destinations of beverages products
Figure 3.5 below shows that during the quarter under review, Africa was the largest export
destination for beverages. Africa accounted for 44% share, followed by Europe (36%), the
Americas and Asia accounting for 9% and 10%, respectively. Oceania has the least share of
about 1%.
Source: Quantec EasyData (2017)
0
50
100
150
200
250
300
350
400
201
2: Q
4
201
3: Q
1
20
13
: Q
2
201
3: Q
3
201
3: Q
4
201
4: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
201
5: Q
1
201
5: Q
2
201
5: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
20
16
: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4
R m
illio
nFigure 3.4: Income from bar sales in the service industry
Restaurants and coffee shops Catering services Take-away/fast food outlets
Africa
44%
Americas
9%
Asia
10%
Europe
36%
Oceania
1%
Figure 3.5: The beverage export destinations' share of continents in
2017: Q4
24
Source: Quantec EasyData (2017)
Among the main trading regions, the European Union (34%) accounted for the largest share
of the total beverages exports, followed by SACU (Excluding RSA) (21%), SADC (Excluding
SACU) (17%), NAFTA (8%) and Eastern Asia (6%). Eastern Africa and Western Africa accounted
for a combined share of 5% (see Figure 3.7).
Source: Quantec EasyData (2017)
0
10
20
30
40
50
60
201
2: Q
4
201
3: Q
1
201
3: Q
2
201
3: Q
3
201
3: Q
4
201
4: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
201
5: Q
1
201
5: Q
2
201
5: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4
%Figure 3.6: The beverages export destinations' share of the continents in
(2012:Q4 – 2017:Q4)
Africa Americas Asia Europe
Western Africa
2%SADC
(excluding
SACU)
17%
SACU (Excluding
RSA)
21%
NAFTA
8%
Eastern Asia
6%
European Union
34%
Eastern Africa
Rest
3%
Others
9%
Figure 3.7: The share of top beverage export destination regions in
2017: Q4
25
Source: Quantec EasyData (2017)
Figure 3.8 above shows the share of top ten beverages export destinations during 2017: Q4.
The main export destinations for beverages are: Namibia (10.4%), Botswana (4,9%), the United
States of America (4,3%), China (4,1%), Zambia (3,8%), Lesotho (3,2%), Canada (3,1%),
Swaziland (2,6%), Angola (2,4%) and Sweden (2,4%).
Table 3.3 presents major exported beverages products in 2017: Q4, while Table 3.4 shows high
and low export performers of beverages during 2017: Q4. Export performance compares the
export values of the present quarter to that of the same quarter of the previous year (year-on-
year).
Table 3.3: Major exported beverages products in 2017: Q4
HS Code Beverages products Total amount
(R million)
HST220830 Whiskies 838,5
HST220300 Beer made from malt 408,7
HST220210
Waters, including mineral waters and aerated waters,
containing added sugar or other sweetening matter
or flavoured
218,8
HST220820 Spirits obtained by distilling grape wine or grape marc 131,5
HST220410 Sparkling wine 104,5
HST220870 Liqueurs and cordials 77,4
0.0
2.0
4.0
6.0
8.0
10.0
12.0
Na
mib
ia
Bo
tsw
an
a
Un
ite
d S
tate
s
Ch
ina
Za
mb
ia
Leso
tho
Ca
na
da
Sw
azi
lan
d
An
go
la
Sw
ed
en
%Figure 3.8: The share of top ten beverages export destination countries
in 2017: Q4
26
HST220710 Undenatured ethyl alcohol of an alcoholic strength by
volume of 80% vol. or higher 52,6
HST220600
Other fermented beverages (for example, cider,
perry, mead); mixtures of fermented beverages and
non-alcoholic beverages, not elsewhere specified or
included
49,3
HST220850 Gin and Geneva 41,4
HST220860 Vodka 30,8
HST220840 Rum and other spirits obtained by distilling fermented
sugar cane products 19,6
HST220900 Vinegar and substitutes for vinegar obtained from
acetic acid 19,6
HST220110 Mineral waters and aerated waters 8,9
Source: Quantec EasyData (2017)
3.4: Export performance of beverages in 2017: Q4
HS Code Beverages
% Changes
compared to a
year ago
High performers
HST220850 Gin and Geneva 94,4
HST220600 Other fermented beverages (for example, cider, perry,
mead); mixtures of fermented beverages and mixtures
of fermented beverages and non-alcoholic beverages,
not elsewhere specified or included
86,3
HST090220 Other green tea (not fermented) 45,8
HST220830 Whiskies 39,8
HST090240 Other black tea (fermented) and other partly
fermented tea
32,5
HST220840 Rum and other spirits obtained by distilling fermented
sugar cane products
32,0
HST220870 Liqueurs and cordials 24,5
HST220300 Beer made from malt 17,5
HST090230 Black tea (fermented) and partly fermented tea, in
immediate packings of a content not exceeding 3 kg
21,3
HST220110 Mineral waters and aerated waters 11,9
27
HST220820 Spirits obtained by distilling grape wine or grape marc 7,9
HST220720 Ethyl alcohol and other spirits, denatured, of any
strength
6,7
Low performers
HST090300 Maté -73,9
HST220860 Vodka -11,8
HST220210 Waters, including mineral waters and aerated waters,
containing added sugar or other sweetening matter or
flavoured
-5,6
HST220410 Sparkling wine -1,9
Source: Quantec EasyData (2017)
Main imported beverage products and their source
Figure 3.9 illustrates the share of continents as a source of beverages imports in 2017: Q4.
Europe was the largest source of beverages imports and accounted for 72% share, followed
by the Americas (13%) and Africa (11%), while Asia and Oceania have a share of 3% and 1%,
respectively. Figure 3.10 shows that during the past five years, Europe, followed by the
Americas, accounted for a huge share of beverages imports, followed by Africa and Asia,
while Oceania accounted for a 1% share.
Source: Quantec EasyData (2017)
Africa
11%
Americas
13%
Asia
3%
Europe
72%
Oceania
1%
Figure 3.9: The share of continent's as a source of beverages import in
2017: Q4
28
Source: Quantec EasyData (2017)
Among the top trading regions, the European Union (69%) still accounts for the largest share
as a source of imports, followed by NAFTA (12%), SACU (Excluding RSA) with 10%, then Western
Europe by 2% and SADC (Excluding RSA) by 1% (see Figure 3.11).
Source: Quantec EasyData (2017)
0
10
20
30
40
50
60
70
80
90201
2: Q
4
201
3: Q
1
201
3: Q
2
20
13
: Q
3
201
3: Q
4
201
4: Q
1
201
4: Q
2
201
4: Q
3
201
4: Q
4
201
5: Q
1
201
5: Q
2
201
5: Q
3
201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4
Figure 3.10: The beverages import destination's share of the continents
(2012:Q4 – 2017:Q4)
Africa Americas Asia Europe
SADC (excluding
SACU)
1%
SACU (Excluding
RSA)
10% NAFTA
12%
Western Europe
Rest
2%
European Union
69%
Unallocated
6%
Figure 3.11: The share of top regions as a source of beverages import in
2017: Q4
29
Source: Quantec EasyData (2017)
Figure 3.12 above shows the share of the top ten countries as a source of beverages imports.
During 2017: Q4, the United Kingdom accounted a huge share of beverages imports (36,9%),
followed by France (15,4%), Namibia (9,4%), Mexico (8,2%), Belgium (4,0%), the United States
(3,2%) Germany (2,8%), Austria (2,6%), the Netherlands (2,3%) and Switzerland (2,2%).
Table 3.5 below shows the main imported beverages in 2017: Q4.
Table 3.5: Main imported beverages in 2017: Q4
0.0
5.0
10.0
15.0
20.0
25.0
30.0
35.0
40.0
Un
ite
d K
ing
do
m
Fra
nc
e
Na
mib
ia
Me
xic
o
Be
lgiu
m
Un
ite
d S
tate
s
Ge
rma
ny
Au
stria
Ne
the
rla
nd
s
Sw
itze
rla
nd
%Figure 3.12: The share of top ten countries as a source of beverages
import in 2017: Q4
HS Code Beverages products
Total
amount
(R million)
HST220830 Whiskies 838,5
HST220300 Beer made from malt 408,7
HST220210 Waters, including mineral waters and aerated waters,
containing added sugar or other sweetening matter or
flavoured
218,8
HST220820 Spirits obtained by distilling grape wine or grape marc 131,5
HST220410 Sparkling wine 104,5
HST220870 Liqueurs and cordials 77,4
HST220710 Undenatured ethyl alcohol of an alcoholic strength by
volume of 80% vol. or higher
52,6
HST220600 Other fermented beverages (for example, cider, perry,
mead); mixtures of fermented beverages and mixtures of
fermented beverages and non-alcoholic beverages, not
elsewhere specified or included
49,3
30
Source: Quantec EasyData (2017)
Source: Quantec EasyData (2017)
During 2017: Q4: The quarter-to-quarter import of beverages moderated by 8,7%, following a
50,4% growth recorded in the last quarter. However, the year-on-year exports rebounded by
12,1% from a 3,2% contraction in the preceding quarter. Quarter-to-quarter imports, on the
other hand, rebounded by 22,5% from a 0,6% contraction, but grew by 12,4% year-on-year. As
a result, the trade surplus widened from R1 758,6 million in the previous quarter to R2 455,9
million in the current quarter.
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
4,500
5,000
20
12:
Q4
20
13:
Q1
20
13:
Q2
20
13:
Q3
20
13:
Q4
20
14
: Q
1
20
14:
Q2
20
14:
Q3
20
14:
Q4
20
15:
Q1
20
15:
Q2
20
15:
Q3
20
15:
Q4
20
16:
Q1
20
16:
Q2
20
16:
Q3
20
16:
Q4
20
17:
Q1
20
17:
Q2
20
17:
Q3
20
17
: Q
4
R m
illio
n
Figure 3.13: Quarterly trade balance of beverages
Export Import
HST220850
Gin and Geneva 41,4
HST220860 Vodka 30,8
HST220840 Rum and other spirits obtained by distilling fermented sugar
cane products
19,6
HST220900 Vinegar and substitutes for vinegar obtained from acetic
acid
14,5
HST220110 Mineral waters and aerated waters 8,9
31
3.6 EMPLOYMENT
Source: Quantec EasyData (2017i)
Figure 3.14 shows the number of formal employment in the beverage and tobacco products
industry. The quarter-to-quarter formal employment in the beverages division contracted by
6,1% from a 1,0% growth in the last quarter. However, it decelerated by 10,9% year-on-year
from a 3,4% contraction in the preceding quarter. As a result, 2 521 jobs were shed in the
division this quarter.
3.7 OUTLOOK
Table 3.6: Net balance of BER manufacturing survey: Beverages
2017: Q2 2017: Q3 2017: Q4 2018: Q1*
Domestic sales volumes -6 -11 -44 -14
Export sales volumes -69 -32 -67 -11
Production volumes -17 -38 2 37
Domestic order volumes received -12 -34 7 -19
Export order volumes received -69 -29 -67 89
General business conditions -51 0 -75 -54
Number of factory workers 3 17 -27 -5
35,000
36,000
37,000
38,000
39,000
40,000
41,000
42,000
43,000
44,000
45,000201
5: Q
4
201
6: Q
1
201
6: Q
2
201
6: Q
3
201
6: Q
4
201
7: Q
1
201
7: Q
2
201
7: Q
3
201
7: Q
4
Figure 3.14: Number of formal employment: beverage and tobacco
products
32
2017: Q2 2017: Q3 2017: Q4 2018: Q1*
Fixed investment -28 17 -74 -86
Business confidence 7 31 15
Expected volume of goods imported in
12 months’ time 21 -45 -7
Expected volume of goods exported in
12 months’ time 45 0 -35
Expected real investment in machinery
and equipment in 12 months’ time -24 -17 -24
Expected business conditions in 12
months’ time -83 -21 -86
*Expected Source: BER (2017)
The survey of the beverages division by BER shows that the year-on-year outlook for 2018: Q1
is negative for all variables except for production volumes.
4. CONCLUSION
The real gross value added (GVA) by the primary sector in 2017: Q4 increased by around 7,5%
and contributed 0,7 percentage points to overall annual GDP growth. This turnaround in the
agricultural sector was brought about by the end of the prolonged drought in the northern
parts of the country, which benefited field crop production as reflected by the 2017 bumper
maize crop and positive spillovers to some other sectors of the economy (Reserve Bank, 2017).
In terms of trade, Asia as a continent accounted for a large share of food exports during 2017:
Q4, while regions such as Eastern Asia accounted for a large share followed by the European
Union and SADC countries. The countries that accounted for a huge share of food export
destinations are China, the US, India, Japan, Botswana, the UK, Namibia, Mozambique, the
Netherlands and the Republic of Korea. In terms of imports, the Americas, accounted for 61%
of the huge share of food imports. The region that accounted for a huge share was South
America (47%), followed by the European Union and NAFTA with a share of 23% and 14%,
respectively.
The beverages division trade saw Africa as a continent accounting for larger share of imports
during the period, while regions that accounted for a larger share were: the European Union,
followed by SACU (Excluding RSA) and SADC (Excluding SACU). In terms of exports, the
European Union still accounts for the largest share of exports, followed by NAFTA, SACU,
(Excluding RSA) then Western Europe rest and SADC (Excluding SACU).
The quarter-to-quarter and year-on-year seasonally adjusted value of sales of food products
grew under the period as compared to the previous quarter. The trade balance of food and
beverages grew from R2 241,6 million in the previous quarter to R3 054,6 million in the current
quarter. Employment in the food, beverages and tobacco divisions rebounded quarter-to-
quarter by 0,4%, however, contracted by 1,9% year-on-year.
33
REFERENCES
BER (2017), Manufacturing Survey. Bureau for Economic Research, University of Stellenbosch.
Quantec EasyData (2017), RSA International Trade. Accessed in December 2017.
Statistics SA (2017a), Consumer Price Index, various issues. Statistics South Africa.
Statistics SA (2017b), Producer Price Index, various issues. Statistics South Africa.
Statistics SA (2017c), Export and Import Unit Value Indices, various issues. Statistics South Africa.
Statistics SA (2017d), Manufacturing: Production and Sales, various issues. Statistics South
Africa.
Statistics SA (2017e), Manufacturing: Utilisation of Production Capacity by Large Enterprises.
Statistics South Africa.
Statistics SA (2017f), Wholesale Trade Sales, various issues, Statistics South Africa.
Statistics SA (2017g), Retail Trade Sales, various issues, Statistics South Africa.
Statistics SA (2017h), Food and Beverages, various issues, Statistics South Africa.
Statistics SA (2017i), Quarterly Employment Statistics, various issues. Statistics South Africa.
Reserve Bank (2017), Quarterly Bulletin, December 2017, South African Reserve Bank.
NOTES:
34
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
------------------------------------------------------------------------------------------------------------------------------ ---------
-------------------------------------------------------------------------------------------------------------------------- -------------
----------------------------------------------------------------------------------------------------------------------------- ----------
------------------------------------------------------------------------------------------------------------ ---------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
----------------------------------------------------------------------------------------------------------------------------- ----------
--------------------------------------------------------------------------------------------------------------------- ------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
------------------------------------------------------------------------------------------------------- --------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
35
---------------------------------------------------------------------------------------------------------------------------------- -----
----------------------------------------------------------------------------------------------------------------------------- ----------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------- -----------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
-------------------------------------------------------------------------------------------------- -------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
----------------------------------------------------------------------------------------------------------------------------- ----------
------------------------------------------------------------------------------------------------------------------------- --------------
----------------------------------------------------------------------------------------------------------------------------- ----------
----------------------------------------------------------------------------------------------------------- ----------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
--------------------------------------------------------------------------------------------- ------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
-------------------------------------------------------------------------------------------------------------------------------------- -
----------------------------------------------------------------------------------------------------------------------------- ----------
----------------------------------------------------------------------------------------------------------------------------- ----------
-------------------------------------------------------------------------------------------------------------------- -------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
------------------------------------------------------------------------------------------------------ ---------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------
----------------------------------------------------------------------------------------------------------------------------- ----------
---------------------------------------------------------------------------------------------------------------------------------------