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The future of global
mobility and the
international economy
6 November 2015
Mark Beatson
Chief Economist, CIPD
Nothing is certain, but some things
(we think) we know …
Known
knowns
Known
unknowns
Unknown
knowns
Unknown
unknowns
“Prediction is very difficult,
especially about the future”
Contents
• Globalisation
• The international economy
• Population change
• Known unknowns
Globalisation
Globalisation
Freedom of
movement:
Goods
Services
Money
People
Data
Knowledge
Proximate
drivers
Tariff
liberalisation
Financial
liberalisation
Transport costs
Information
processing costs
Long term
drivers
Political
openness
Technology
development
Globalisation: expansion of world trade
0
100
200
300
400
500
600
700
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
Volume of goods and services traded globally, 1980 = 100
Source: IMF
Globalisation: putting global flows in context
(annual average compound growth rate)
7.7%
11.6%
4.1% 2.7%
47.6%
Goods (1980-
2011)
Services (2001-
2011)
Money (2002-
2012)
People (2001-
2011)
Data (2008-
2013)
Source: McKinsey Global Institute, ‘Global flows in a digital age’
Source: McKinsey Global Institute, ‘Global flows in a digital age’
Source: McKinsey Global Institute, ‘Global flows in a digital age’
Top 10 most connected nations, 2012
Rank 2012 Goods Services Money People Data Flow
intensity (%
of GDP)
Germany 1 3 5 7 5 2 110
Hong Kong 2 1 4 3 14 N/A N/A
USA 3 8 9 5 1 7 35
Singapore 4 2 3 4 18 5 436
UK 5 13 6 9 7 3 60
Netherlands 6 6 7 15 29 1 157
France 7 9 10 36 15 4 60
Canada 8 16 22 13 9 18 76
Russia 9 19 30 16 2 21 63
Italy 10 11 20 31 16 10 59
Source: McKinsey Global Institute, ‘Global flows in a digital age’
There are only 6 “truly connected”
global cities*
•London
•New York
•Hong Kong
•Tokyo
•Singapore
•Dubai
Cities with at least one million residents and major hubs for at least four of the
five flows.
Source: McKinsey Global Institute, ‘Global flows in a digital age’
The international
economy
Emerging economies have
increased in relative importance
0
10
20
30
40
50
60
% share of global GDP (PPP basis)
G7
China
India
Russian Federation
Brazil
South Africa
Source: IMF
But there are still wide gaps in living
standards
0
5000
10000
15000
20000
25000
30000
35000
40000
45000
50000
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
GDP per capita (PPP basis, current international $)
Brazil
China
India
Russian Federation
South Africa
G7
Source: IMF
The short term outlook is reasonably
benign
-6
-4
-2
0
2
4
6
8
10
% GDP growth by year, constant prices, market exchange rates,
2015-2020
Source: IMF
China and India are projected to become
even bigger global players by 2030
0%
5%
10%
15%
20%
25%
30%
Potential output as % share of world total, 2015-2030,
2005 PPP basis
Source: OECD
Population change
Population age structures vary
Source: Eric Kaufman, Birkbeck College.
Old-age dependency ratios will increase in
most advanced economies – but not
everywhere
0
10
20
30
40
50
60
70
80
%
(% of population 16+ aged 15-64)
2011 2030
Source: OECD
Changes become more acute in the long
term
-20
-16
-13
-12 -12 -11
-10
-8 -8 -8 -7
-6 -6
-4
1
2
% point change in population aged 15-64 as % of population
aged 16+, 2011-2060
Known unknowns
Technological innovation as the
source of long-term growth
• Will the USA remain the global technology
leader?
• Has the pace of innovation slowed down? Or
is it set to accelerate?
• Has the pace of innovation diffusion slowed
down? If so, what’s stopping it?
• Impact of climate change – mitigation versus
adaptation
Global commodity prices
0
20
40
60
80
100
120
140
1960
1962
1964
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
Constant prices, 2005 $, 2010=100
Source: World Bank
Energy
Non-energy
Educational attainment is on the rise
everywhere – to varying extents
0
2
4
6
8
10
12
14
16
18
Mean years in education for the adult population
2010
2060
Source: OECD
Women’s employment can rise further
0
10
20
30
40
50
60
70
80
90
Iceland
Norway
Switzerland
Sweden
Netherlands
Denmark
Canada
Finland
Germany
Austria
NewZealand
Australia
UnitedKingdom
Estonia
Israel(1)
UnitedStates
Japan
Slovenia
France
Luxembourg
Portugal
CzechRepublic
OECD-Total
Belgium
Ireland
Korea
Poland
SlovakRepublic
Hungary
Spain
Chile
Italy
Mexico
Greece
Turkey
Female employment rate, 2012
Source: OECD
Political stability
• USA
• Euro area
• UK
• Emerging markets:
• Brazil
• China
• India
• Russia
• South Africa
• Systemic versus country risk?
Societal values and attitudes
0%
10%
20%
30%
40%
50%
60%
70%
% of people who would not like to have immigrants/foreign workers as
neighbours, 2005/06
Source: World Values Survey, wave 5
“When my information
changes, I alter my
conclusions. What do you do,
sir?”
Thank you
Mark Beatson
m.Beatson@cipd.co.uk
@MarkBeatson1

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Future of global mobility and international economy

Editor's Notes

  1. Globalisation = degree to which there is movement around the world of: goods and services (see chart); people; money; ideas (think the internet).
  2. This chart summarises the data in the McKinsey report on the overall growth rates of different components of globalisation. We have seen steady and strong growth in trade of both goods and services. We trade more physical goods and we are now starting to trade services as they become easier to move from one place to another. Growth in finance is not as high but this period spans pre and post financial crisis. Capital flows and investment declines post crisis. Growth in people moving from one country to another (either for short term reasons or as permanent migrants) has not increased as rapidly as growth in trade or financial markets. This is presumably because countries retain the right to decide who enters their country, whereas, if they are WTO members, countries have to abide by rules allowing market access to foreign traders and investors. The growth of data is spectacular in comparison but note this is for a shorter period and that the measure used is the volume of data crossing boundaries. Continuous technology improvement means that more and data can be processed more quickly, and this feeds through into the data used. The growth in the value of the data transmitted may not be as large.
  3. McKinsey’s calculate an index of connectivity – exact formula not provided. The table gives the ‘top 10’. The left side gives the overall rank with subsequent columns giving the rank for each of the 5 elements separately. ‘Flow intensity’ is a measure of how big these flows are in relation to GDP. Note this is related to country size: small economies like the Netherlands, Singapore or Hong Kong always have measures of flow intensity simply because they are not big enough to specialise in everything. Rankings have not changed greatly since 2012.
  4. The report also looks at cities and concludes that there are only 6 “truly connected” cities that meet their criteria of having at least a million residents and being major hubs for 4 out of 5 of trade in good and services, money, people and data.