economic impact of the sa drone industry · economic impact of the sa drone industry-with...
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Economic Impact of the SA drone industry- with reflections on the state of the macro-economy Dr Roelof Botha
Global rankings for the quality of air transport infrastructure –selected countries & BRICS (Source: WEF)
2.5 3 3.5 4 4.5 5 5.5
Nigeria (125)
Brazil (95)
Argentina (78)
India (61)
Russia (59)
Greece (53)
China (45)
Australia (36)
Portugal (29)
South Africa (25)
Score
CAASA Aviation Activity Index (CAAI) for South Africa(Trend = 3-quarter moving average)
85
100
115
130
145
160
175
Q1'14 2 3 4
Q1'15 2 3 4
Q1'16 2 3 4
Q1'17 2 3 4
Index; Q1 2014=100
Index value
Trend
Key sectors for the application of UA services (selection)
Agriculture Filming
Real estate Private security
Ø Purchases of homes Public safety
Ø Home rentals National defence systems
Ø Property development Road & railway inspections
Mining & quarrying Water reservoir inspections
Energy grid Border control
Industrial infrastructure Sea rescue operations
Shipping Emergency medical services
Postage & courier services Fire fighting
Impact of global UA industry – some facts
Number of global drone sales in 2018 (est.) 3 million
Value of global drone sales in 2017 R 12 billion
Number of UAs (for leisure) in the US in 2021 (est.) 3.5 million
Number of UAs (commercial) in the US in 2021 (est.) 1 million
Remote pilots in the US in 2012 (est.) 281,000
Value of European demand for UAS services (p.a.) Euro 10 bn
Timing of launch of one-ton capacity drone 1 year
Cost saving on delivering by drone in rural Asia (vs. truck) 70%
Number of firms in Europe that can utilise drones 7.7 million
Est. Drone industry contribution to US GDP until 2025 $82 bn
Number of firms in Europe (by sector) that can use drones (‘000) (Source: Eurostat)
Agriculture & mining - 197.3
Advertising, marketing & TV/video - 438.6
Architecture & engineering - 1005.7
Construction - 3441.3
Security - 56
Land & pipeline transport - 916.5
Real estate - 1369.5
Utilities, couriers & communication 274.4
Total number: 7.7 million
Methodology for determining the economic impact of the Unmanned Aircraft (UA) Industry
Step Method
1 Sample survey conducted amongst members of CUAASA
2 Extrapolation of results into total estimated turnover
3 Determination of average multiplier effects for relevant sectors
4 Classification of multiplier effects into direct, indirect & induced
5 Calculation of impact on output, jobs & tax revenues6 Comparison of results with SA/EU and SA/US GDP ratios
Sources(selection)
(i) CUAASA(iii) Quantec Data(iv) Stats SA(v) Association for Unmanned Vehicle Systems International(vi) Single European Sky ATM Research/EU
Anticipated % increase in key UA indicators 2018 to 2019
80
105
130
155
180
205
230
Employment Number of Uas Value ofequipment
Turnover Value of aircraft
%
Summary of macro-economic impact of the South African drone industry in 2018
Economic output R million
Industry turnover 3 379
Contribution to total SA output 10 702
Broadening of tax base R million
Personal income tax 1 193
Corporate tax 1 151
Indirect taxes 1 939
Employment creation Number
Formal employment 40 627
Informal employment 16 079
Composition of the economic impact of the UA industry in 2018 (Rm)
Industry salaries - 2,040
Direct output (other sectors) - 1,352
Industry sales - 3,379
Corporate tax - 1,148
Indirect taxes - 1,935
Indirect output (other sectors) - 1,742
Personal income tax - 1,191
Industry value added - 2,164
Total output: R10.7bTotal taxes: R4.3b
Comparison of Economic Impact of the UA industry with past six AAD Exhibitions (Sources: AAD Organisers’ Office; Botha RF)
0
1500
3000
4500
6000
7500
9000
10500
AAD 2006 AAD 2008 AAD 2010 AAD 2012 AAD 2014 AAD 2016 UA
R million
5-year GDP impact of UA industry in SA based on different scenarios
15
18
21
24
27
30
10% growth SA/US GDP ratio 15% growth 20% growth SA/EU GDP ratio
R billion
Macroeconomic advantages of the expansion of the UA industry
Higher level of efficiency due to automation
Higher level of customer satisfaction
Cost savings to a wide range of businesses
Shareholders receive higher dividends
Broadening of the taxation base
Positive effect on GDP
Diffusion of technological advancement
More emphasis on appropriate skills development
More accurate data collection
Mapping of inaccessible locations
Macroeconomic advantages of the expansion of the UA industry (continued)
Preventative maintenance inspections in energy sector
Enabling of precision agriculture
Assistance with humanitarian assistance
More effective policing via identification of endangered citizens & hazards
More effective maritime surveillance
Enhanced border security
Combating of poaching
More accurate topographic surveying
More efficient stock-pile management
Transfer of real time data from fire & emergency scenes
The Southern African economy
Prospects for
sustained growth
The land reform threat & other problems
• Sassa grant debacle (Minister found guilty of fraud in 2006)• Energy policy fiasco (100% increase in electricity tariffs in 3years)• PetroSA loss in 2015 = R14.5 billion (due to incompetence)*• SAA loss in 2015 = R5.6 billion*• Irregular municipal expenditure doubles to R14.8 billion*• High Court of SA exposes DMR as “irrational & incompetent”• 3,600 public servants found guilty of corruption• Hawks’ attack on Finance Minister Gordhan nonsensical• Reckless cabinet reshuffle; clearly influenced by Guptas• 80 ANC municipalities dysfunctional due to corruption/incompetence• ANC admits it may be destroyed by corruption & fraud• *Note: 650k houses, 210k jobs, R100b output
A “state of capture/incompetence”?
• Exodus of an estimated 3 million people (to SA, UK & Australia)
• Unemployment rate of 95%
• GDP declines by 20% since 2000 to $14 billion
• Per capita GDP declines by 36% to $979
• Public debt/GDP ratio doubles to 60%
• 6th most repressed regime in the world
• 72% of population living under the poverty line
• Prevalence of stunting amongst children = 28%
• Reliance on ODA (6% of GDP)
• 70% of population depends on agriculture
• Insecurity of land tenure persists
• Maize harvest area declines from 1,4m ha to 0.8m ha
Land expropriation without compensation – a case study in Zimbabwe
Ranking of specific problem areas in Africa that require government intervention (% cited in top-three) (Source: Afro Barometer)
0 5 10 15 20 25 30 35 40
Socio-political violence
Housing
Corruption
Electricity
Food shortages
Crime & security
Water supply
Roads
Education
Health
Unemployment
%
Background to land reform debate
Background to land reform
2007 ANC conference abandons “willing buyer-willing seller” principle
Land expropriation subsequently based on “just & equitable” compensation
Discounted compensation possible where “public interest” is compelling
Market-related compensation for all improvements still required
Provisos to any future radical land reform policies
Change in ownership has to be sustainable
No harm to the agriculture sector
No harm to the economy
Likely results of constitutional amendment for radical land reform
Protection of property rights in SA is diminished
Heightened policy uncertainty
Decline in the prices of land & related assets
Negative impact on balance sheets of banks and their ability to provide loans
Foreign assets will gain value, leading to currency weakness
Disinvestment in agriculture and food processing
Threat to food security
Substantial litigation costs arise
Negative impact on GDP and fiscal revenues
Unemployment rises
Potential for heightened socio-political unrest
Agriculture exports to SADC 2010 & 2016 (at constant 2015 prices) (Sources: SARS; own calc.)
0
4
8
12
16
20
24
Oils & fats Animals Veg. & fruit Prep. Food
2010
2016
Rb
Real GDP and the value of agricultural production in sub-Saharan Africa (Sources: IMF; et. al.)
90
100
110
120
130
140
150
160
170
180
2000 2002 2004 2006 2008 2010 2012 2014 2016
Index, 2000 = 100
GDP
Agriculture value added
Total Primary Agriculture Output
R244bSecondary Agriculture
(Processing)R391b
Wholesale trade R345b
Retail trade R347b
Restaurants & caterers R43b
Electricity & Water R39bn
Finance R155b
Estimated output (turnover) for all agricultural activityIn SA - 2015
CommunicationR63b
Transport & Construction R26b
Total linked turnover R1.65
trillion
ü Meat, fish, fruit & vegü Dairyü Grain millsü Beveragesü Tobaccoü Sawmillingü Leather productsü Other food
Agriculture Value Added R84
Speculation over downgrade fuelled by the increase in total public sector gross debt as % of GDP since the recession…
25
30
35
40
45
1998199920002001200220032004200520062007200820092010201120122013201420152016
%
Average ratio of foreign direct investment to GDP from 2010 to 2015 – selected emerging markets (Source: Unctad)
0 1 2 3 4 5 6 7 8
South Africa
Egypt
Turkey
Poland
Mexico
Brazil
Tanzania
Zambia
Chile
Ghana
%
South Africa’s ratio of foreign direct investment to GDP (3-year averages) (Sources: SARB; own calculations)
0.6
0.8
1
1.2
1.4
1.6
1.8
2003-'05 2006-'08 2009-'11 2012-'14 2015-'17
%
GDP growth remains lethargic, but has bottomed out (Source: Stats SA)
-3
-1.5
0
1.5
3
4.5
Q1'08 3
Q1'09 3
Q1'10 3
Q1'11 3
Q1'12 3
Q1'13 3
Q1'14 3
Q1'15 3
Q1'16 3
Q1'17 3
Year-on-year %
FNB house price index (as at March) and inflation(Sources: StatsSA; FNB)
90
140
190
240
290
340
390
200120022003200420052006200720082009201020112012201320142015201620172018
House price index
CPI
Index; 2000 = 100
Value of outstanding mortgage loans (constant 2017 p)(Sources: SARB; own calculations)
1.32
1.34
1.36
1.38
1.4
1.42
1.44
Q1'12 2 3 4
Q1'13 2 3 4
Q1'14 2 3 4
Q1'15 2 3 4
Q1'16 2 3 4
Q1'17 2 3 4
R trillion
Real prime rate remains too high to encourage growth & continues to increase (Sources: Stats SA; SARB; own calculations)
2
2.5
3
3.5
4
4.5
5
5.5
6
6.5
Q1'12 2 3 4
Q1'13 2 3 4
Q1'14 2 3 4
Q1'15 2 3 4
Q1'16 3 4
Q1'17 2 3 4
Q1'18
%
The recession is over – prepare for higher growth
Dr Roelof Botha
The Ramaphosa effect
#1: Short-term currency strength(Source: Oanda)
11.5
12
12.5
13
13.5
14
14.5
03-Jan24-Jan
07-Feb07-Mar
21-Mar
04-Apr
25-Apr
05-May
08-Sep10-Oct
16-Oct
26-Oct
14-Nov
21-Dec29-Jan
19-Feb
14-May
Rand/$
Real effective exchange rate of the rand now over-valued(Sources: SARB; own calculations)
70
75
80
85
90
95
100
2001
2003
2005
2007
2009
2011
2013
2015
2017
2018
REER
Long-termaverage
Index; 2010 = 100
#2: Long-term bond yield(Source: Investing.com)
8
8.2
8.4
8.6
8.8
9
9.2
9.4
Mar'16 Ap
rMay Ju
n Jul
Aug
Sep Oct
Nov DecJa
n'17
Feb
Mar Apr
May Jun Ju
lAu
gSe
p OctNov Dec
Jan '1
8Fe
bMay
%
#3: Business Confidence Index of the SA Chamber of Commerce & Industry starts improving (Source: SACCI)
90
95
100
105
110
115
Q1'12 2 3 4
Q1'13 2 3 4
Q1'14 2 3 4
Q1'15 2 3 4
Q1'16 2 3 4
Q1'17 2 3 4
Q1'18
Index; 2015 = 100
#4: Retail trade sales hit new record high (constant 2017 prices; (seasonally adjusted) (Sources: Stats SA, SARB, own calculations)
190
200
210
220
230
240
250
Q1'11 2 3 4
Q1'12 2 3 4
Q1'13 2 3 4
Q1'14 2 3 4
Q1'15 2 3 4
Q1'16 2 3 4
Q1'17 2 3 4
R billion
Note: Q4’17 nominal = R295bn
#5: Eskom profligacy reined in(Sources: Eskom; SARB)
0
5
10
15
20
25
30
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018
%
Eskom tariffincreases
CPI
#6: Nuclear power project canned (Sources: eePublishers; CSIR; P van Berge)
0.5 0.65 0.8 0.95 1.1 1.25 1.4 1.55
Wind
Photo-voltaic
Gas turbines
Coal IPP
Mid-merit gas
Baseload coal
New nuclear
Mid-merit coal
EnergyCosts
R/kWh
Trends in household financial resilience
Real remuneration per worker(Sources: SARB; Stats)
98
101
104
107
110
113
116
Q1'12 2 3 4
Q1'13 2 3 4
Q1'14 2 3 4
Q1'15 2 3 4
Q1'16 2 3 4
Q1'17 2 3
Public sector
Private sector
Index; 2010 = 100
Continued progress with employment creation in South Africa (2.3 million jobs created since Q1 2010)
13.8
14.1
14.4
14.7
15
15.3
15.6
15.9
16.2
Q2'09 4
Q2'10 4
Q2'11 4
Q2'12 4
Q2'13 4
Q2'14 4
Q2'15 4
Q2'16 4
Q2'17 4
Q1'18
Million (formal sector = 70%)
Source: Stats SA
Ratio of household disposable income to household debt(Source: SARB)
123
126
129
132
135
138
141
Q1'12 2 3 4
Q1'13 2 3 4
Q1'14 2 3 4
Q1'15 2 3 4
Q1'16 2 3 4
Q1'17 2 3 4
%
Ratio of household debt to household disposable income(Sources: SARB)
70
72
74
76
78
80
82
Q1'12 2 3 4
Q1'13 2 3 4
Q1'14 2 3 4
Q1'15 2 3 4
Q1'16 2 3 4
Q1'17 2 3 4
%
Household expenditure on durables & semi-durables (annualised at constant 2017p) (Sources: SARB; own calculations)
185
192.5
200
207.5
215
222.5
230
237.5
Q1'12 2 3 4
Q1'13 2 3 4
Q1'14 2 3 4
Q1'15 2 3 4
Q1'16 2 3 4
Q1'17 2 3 4
R billion
Semi-durables
Durables
Household disposable income (constant 2017 p)(Sources: SARB; own calculations)
1.9
2
2.1
2.2
2.3
2.4
2.5
2.6
2.7
2.8Q1'12 2 3 4
Q1'13 2 3 4
Q1'14 2 3 4
Q1'15 2 3 4
Q1'16 2 3 4
Q1'17 2 3 4
R trillion
Junk status averted & other
good news
% change in average household income 2005 to 2015
0
25
50
75
100
125
150
White Indian Coloured Black
%
CPI
Number of SA households in the expenditure category of R650k per annum (avg.) (Sources: Stats SA; own calculations)
0
150
300
450
600
750
900
1050
Indian Coloured White Black
2011
2015
Number
Gross public debt/GDP ratios – selected countries(Source: IMF)
20 35 50 65 80 95 110
Turkey
Australia
South Africa
Mexico
Germany
India
Brazil
UK
US
Singapore
%
Composition of government expenditure (functional classification) FY 2018/19 (Rb)
General & other ser. 111
Public order 144
Other economic ser. 76
Health 200
Education 343
Social protection 197
Interest 180
Transport 84
Housing & comm. Ser. 144
Defence 48
Total R 1.53trillion
According to the World Economic Forum, South Africa remains the most competitive large economy in sub-Saharan Africa - out of 144 countries
30 40 50 60 70 80 90 100 110
Ethiopia
Gabon
Kenya
Zambia
Ivory Coast
Namibia
Botswana
South Africa
MauritiusRanking
-250
-200
-150
-100
-50
0
50
100
150
200
250
'03 '04 '05 '06 '07 '08 '09 '10 '11 '12 '13 '14 '15 '16 '17
R billion
South Africa possesses balance of payments stability, due to a huge financial account surplus (Source: SARB)
Financial account
Current account
Real GDP growth estimates for 2017 – the world’s ten largest economies (Source: IMF)
0 1 2 3 4 5 6 7
Brazil
Japan
Italy
France
UK
Germany
US
Canada
India
China
%
Tourist arrivals from overseas(Source: Stats SA)
1 800
1 900
2 000
2 100
2 200
2 300
2 400
2 500
2 600
2 700
2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
‘000
Selected commodity price increases between Q1 2016 and Q4 2017 (Sources: World Bank; own calculations)
0 10 20 30 40 50 60 70
Platinum
Oranges
Groundnuts
Gold
Soya bean oil
Mutton
Nickel
Aluminium
Iron ore
Coal
%
Biographical notes:
ü Dr Roelof Botha received his early schooling in Sweden, Germany, the Netherlands and three different provinces in South Africa
ü A diversified career has been followed in management accounting; financial journalism; lecturing; consulting; and economic research
ü He is a regular commentator & columnist in the national media and has authored more than 500 articles, books and research publications
ü Honours and Masters degrees, both obtained cum laude at the University of Pretoria, Doctorate completed at the University of Johannesburg
ü In 2005, he received the prestigious Finmedia Economist of the Year award, based on the accuracy of forecasts of key economic indicators
ü Economic advisor to PricewaterhouseCoopers for 28 yearsü Current activities include Senior Adjunct Faculty member of the Gordon
Institute of Business Science (GIBS) & Economic Advisor to the Optimum Financial Services Group
Mobile no: 083 226 8921; E-mail: [email protected]
Researched & prepared by Dr Roelof BothaSources of basic data include the SA Reserve Bank, Stats SA, The Economist Intelligence Unit, the IMF & the World Bank Group