Emerging Trends in Developing Countries
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Emerging Trends in Developing Countries Lección inaugural Master en Desarrollo, Instituciones e Integración Económica Álvaro Ortiz Vidal-Abarca - Chief Economist Cross Emerging Markets BBVA Research Valencia, October 2013
Multidimensional Emerging Markets Trends
Income & Wealth Inclusive Growth
Poverty and Inequality
Demography &
Urbanization
The Rise of Emerging Middle
class
Infrastructure & Financial
Deepening
Technology, Productivity &
Education
Vulnerability &
Resilience
Openness
& Trade
Increasing World
Presence
Institutions
Wealthier and Healthier: Emerging Markets are Catching Up with Developed World but still a sizeable Gap
Income & Wealth
First, the static picture… to identify where do we stand?
World: Wealth and Health (2012) (GDP per cápita in US$ and Life Expecancy) Source: Gapminder through World Bank Data
Developed Economies
Emerging Economies
Frontier Economies
Income & Wealth
The Catch Up will continue: GDP per capita growth differences will remain important…
0 1 2 3 4 5 6 7 8 9 10
Central and eastern Europe
Commonwealth of Independent States
Newly industrialized Asian economies
Developing Asia
Latin America and the Caribbean
Middle East and North Africa
0 1 2 3 4 5 6 7 8 9 10
Advanced economies
Major advanced economies (G7)
European Union
Other advanced economies
1990-00
2000-10
2010-20
GDP per capita Growth Rate (1980-2020) (% yoy, in nominal PPP-adjusted USD) Source: BBVA Research
Ad
van
ced
E
co
no
mie
s Em
erg
ing
E
co
no
mie
s
Income & Wealth
Which is allowing Emerging economies to increase their role in global growth
Contribution to global growth by period and country groups (1980-2022) (in percentage points) Source: BBVA Research and IMF
0
1
2
3
4
5
80s 90s 00s pre crisis Crisis 2012-2022
Advances Emerging
Income & Wealth
The “new growth” will be increasingly based in EM with a bias in the pacific region
Africa
Oceania
Emerging
Asia
Japan
6.8
4.9
Eastern Europe
56.4
1.7
1.0
6.4
Middle East
4.5
Western
Europe 10.9
Latin America
North America
7.5
Pacific Region
77.5%
Expected contribution to global growth between 2012 and 2022 (%) Source: BBVA Research and IMF
Income & Wealth
Emerging Markets are increasing their share in World GDP but Balance of Power Quotas remain unchained
Increasing World Presence
Emerging markets are increasing their share in world GDP
Share of world GDP: developed and emerging markets (%) Source: IMF/WEO
0
10
20
30
40
50
60
70
80
90
100
1980 1990 2000 2007 2013 2018
Emerging Economies Developed Economies
Increasing World Presence
China and India play in another league
Incremental GDP between 2012 and 2022 (% share of world growth and bn USD for the 3 big players) Source: BBVA Research and IMF/WEO
1242815727
4756
129714092
5036
0
2500
5000
7500
10000
12500
15000
17500
20000
22500
25000
27500
China USA India
2012 2012-2022
EAGLEs57%
Nest10%
Other EMs3%
G717%
Other DMs5%
RoW8%
Increasing World Presence
Other relevant players in Asia, as well as in Latin America and Europe
Incremental GDP between 2012 and 2022 and GDP level in 2012 [EAGLEs] (bn USD) (incremental GDP in y-axis and 2012 level below country labels) (bubbles are proportional to 2012 level) Source: BBVA Research and IMF/WEO
Indonesia1219 Brazil
2363Russia2520
Korea1618
Japan4623
Turkey1126
Germany3207 Mexico
1768UK
2335 Taiwan905
G6 avg.2620
300
400
500
600
700
800
900
1000
1100
1200
1300
Increasing World Presence
And there are more candidates, some of them really close to the threshold
Incremental GDP between 2012 and 2022 and GDP level in 2012 [Nest] (bn USD) (incremental GDP in y-axis and 2012 level below country labels) (bubbles are proportional to 2012 level) Source: BBVA Research and IMF/WEO
G6 avg.2620
Egypt540
Nigeria453
Thail.655
Australia967
S.Arabia744
France2260
Canada1451
Colombia500
Vietnam322
Malaysia498
Poland806
Spain1415
Bang.307
S.Africa580
Philip.425
Iraq156
Peru328
Argentina745
Pakistan517
Iran1002
Chile322
G6 min.(Italy)1808
100
150
200
250
300
350
400
450
500
Increasing World Presence
A new global economic order is pushing for a new view on international relations
16
84
50 50 55
45
67
33
Emerging & Developed Economies(%) Source: IMF and BBVA Research
Emerging & Developing Economies
Developed Economies
Population GDP IMF Voting Stock Mket
Capitalisation
Increasing World Presence
Reducing Poverty but Rising Inequality Social Protection should increase to cope with increasing social demands
Inclusive Growth
The EM growth has been “somehow” a pro poor growth
Poverty: % of People living under 1.5$ per day (at 2005 ppp prices) Source: IMF Regional Economic Outlook: Asia and Pacific
Selected Asia: Change in Poverty Headcount Ratio (in percentage points, since 1990) Source: IMF Regional Economic Outlook: Asia and Pacific
Inclusive Growth
But with raising inequality in some fast growth areas
Change in Gini Index since 1990 (percentage points) Source: UNICEF
Change in Gini Index since 1990 (percentage points) Source: IMF Regional Economic Outlook: Asia and Pacific
5 0 5 1 0 1 5
C e n t r a l a n d E a s t e r n E u r o p e
L a t i n A m e r i c a a n d t h e C a r i b b e a n
M i d d l e E a s t a n d N o r t h A f r i c a
S u b - S a h a r a n A f r i c a
A S E A N
N I E s
I n d u s t r i a l A s i a
S o u t h A s i a
O t h e r A s i a
Average
Weighted Average by population
Inclusive Growth
The Safety Net on EM is still far from Western Levels…
Old-age pension beneficiaries (% of population above retirerment age) Source: ILO
Inclusive Growth
Unemployment effective coverage worldwide (% of unemployed) Source: ILO
Inclusive Growth
In many aspects…
One of the reason is low Fiscal Revenue…
Fiscal revenue and spending 2010 (% GDP) Source: IMF
Inclusive Growth
Which limits Social Spending and inclusiveness
Social spending (% of GDP) Source: IMF
Pension
2010 1/
Health
2010 1/
Education
2007 1/
ASEAN-5
Indonesia 0.9 1.3 3.5
Malaysia 2.9 2.9 4.5
Philipines 1.1 1.4 2.6
Singapore 0.6 1.0 3.2
Thailand 0.8 1.6 4.9
Other Asian Economies
China 2.2 2.2 1.9
India 1.7 0.9 3.2
Vietnam 1.6 1.5 5.3
Regional average
ASEAN-5 1.3 1.6 3.7
Advanced 7.4 7.0 -
Emerging 4.2 2.7 -
Education and inclusiveness Source: IMF Regional Economic Outlook: Asia and Pacific
Health and inclusiveness Source: IMF Regional Economic Outlook: Asia and Pacific
Inclusive Growth
But in some dimensions is improving very fast compared with previous historical experiences
Health protection coverage for selected countries (% of total population) Source: ILO
Inclusive Growth
Population will “moderate” but the “premium” is still alive and Households will increase Urbanization & Agglomeration a new challenge
Increasing World Presence
Population will gradually decline in EM but still maintains an important premium with developed
World Labor Force: Ratio of Working Age to non Working Age Population Source: World Bank
-2
-1
0
1
2
3
4
1950
1955
1960
1965
1970
1975
1980
1985
1990
1995
2000
2005
2010
2015
2020
2025
2030
2035
2040
2045
2050
Russia
Turkey
Brazil
Mexico
G7
Mid term
Long term
Demography & Urbanization
-2
-1
0
1
2
3
4
1950
1955
1960
1965
1970
1975
1980
1985
1990
1995
2000
2005
2010
2015
2020
2025
2030
2035
2040
2045
2050
China
Korea
India
Indonesia
G7
Mid term
Long term
Labor Force Population Growth (% yoy) Source: BBVA Research and UN
...But Household size will also decline limiting the population decline impact in some goods
1
2
3
4
5
6
7
8
0 1 2 3 4
House
hold
siz
e
ln of real PPP-adjusted GDP
Household Size and GDP Per cápita (in members ans log of gdp per capita) Source: BBVA Research and UN
World Household Size (members per houesold unit) Source: BBVA Research and UN
2,0
2,5
3,0
3,5
4,0
4,5
5,0
5,5
6,0
6,5
7,0
Fin
land
Germ
any
Neth
erla
nds
Unite
d K
ingdom
Belg
ium
Fra
nce
Canada
Hungary
Lith
uania
Bulg
aria
Russia
Spain
Irela
nd
Pola
nd
Slo
venia
Uru
guay
Israel
Bosn
ia a
nd H
erze
govin
aBra
zilSri L
anka
FYR
Mace
donia
Costa
Rica
Panam
aBotsw
ana
Mala
wi
Mexico
Belize
Para
guay
Vie
tnam
Bangla
desh
Iran
Tanza
nia
Chad
Tunisia
Centra
l Africa
n R
epublic
India
Sudan
Jord
an
Yem
en
Demography & Urbanization
Different Population Pyramids will create different oportunities and challenges…
Population pyramids for selected economies (2010) Source: BBVA Research and UN
G7 Countries
4 3 2 1 0 1 2 3 4
0-4
10-14
20-24
30-34
40-44
50-54
60-64
70-74
80-84
90-94
100+Female Male
5 4 3 2 1 0 1 2 3 4 5
Female Male
Eagles Ageing Advanced Eagles Populating Premiun
5 4 3 2 1 0 1 2 3 4 5
Female Male
Demography & Urbanization
…Urbanization will increase very fast in some of the regions…
0
10
20
30
40
50
60
70
80
90
19
60
19
65
19
70
19
75
19
80
19
85
19
90
19
95
20
00
20
05
20
10
20
15
20
20
20
25
West Europe N.América East Europe
Asia Latam Africa
-0,1
0
0,1
0,2
0,3
0,4
0,5
0,6
0,7
0,8
19
70
19
75
19
80
19
85
19
90
19
95
20
00
20
05
20
10
20
15
20
20
20
25
West Europe N.América East Europe
Asia Latam Africa
World Urbanization Rates(1980-2020) (Urban population as a % of total) Source: United Nations
World Urbanization Rates(1980-2020) (Annual Change in Urbanization Rates) Source: United Nations
Demography & Urbanization
Regional Aggregates mask some rapid changes in some countries (Andeans & South East Asia)
Demography & Urbanization
World Urbanization Rates(2030) (Urban population as a % of total) Source: United Nations
World Urbanization Rates(2011) (Urban population as a % of total) Source: United Nations
…and we will observe an intensive Urban Agglomeration process specially in Asia
Percentage of urban population and agglomerations by size class Source: UN Urbanization Prospects, 2011 revision
2011 2025
Demography & Urbanization
The “Emerging Middle Classes” revolution has already started changing consumption patterns and social demands
The Rise of EM Middle Classes
…The EM Middle Classes revolution accelerated at the beginning of this century…
0
1000
2000
3000
4000
5000
6000
19
80
19
82
19
84
19
86
19
88
19
90
19
92
19
94
19
96
19
98
20
00
20
02
20
04
20
06
20
08
20
10
20
12
20
14
20
16
20
18
20
20
Affluent High Middle Class Medium Middle ClassLow Middle Class Low Income Poor
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
19
80
19
82
19
84
19
86
19
88
19
90
19
92
19
94
19
96
19
98
20
00
20
02
20
04
20
06
20
08
20
10
20
12
20
14
20
16
20
18
20
20
Affluent High Middle Class Medium Middle Class
Low Middle Class Low Income Poor
Estimation of income distribution by GDP per capita in emerging economies (1980-2020) (millions of people and % of total population; original data in real PPP-adjusted USD) Source: BBVA Research
Slow Motion Distribution changes Fast Track Slow Motion
Distribution changes Fast Track
Affluent (>40000 USD) High Middle Income (25000 to 40000 USD) Medium Middle Income (15000 to 25000 USD)
Low Middle Income (5000 USD to 15000 USD) Low Income (1000 USD to 5000 USD) Poor( <1000 USD)
The Rise of Emerging Middle Classes
… and is being specially intensive in some areas…
0
500
1000
1500
2000
2500
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
2016
2018
2020
0
100
200
300
400
500
600
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
2016
2018
2020
Estimation of income distribution by GDP per capita in emerging economies regions (1980-2020) (millions of people and % of total population; original data in real PPP-adjusted USD) Source: BBVA Research
0
50
100
150
200
250
300
350
1980
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
2012
2014
2016
2018
2020
0
400
800
1200
1600
2000
19
80
19
82
19
84
19
86
19
88
19
90
19
92
19
94
19
96
19
98
20
00
20
02
20
04
20
06
20
08
20
10
20
12
20
14
20
16
20
18
20
20
East Asia South Asia
Emerging Europe Latam
The Rise of Emerging Middle Classes
Affluent (>40000 USD) High Middle Income (25000 to 40000 USD) Medium Middle Income (15000 to 25000 USD)
Low Middle Income (5000 USD to 15000 USD) Low Income (1000 USD to 5000 USD) Poor( <1000 USD)
We will observe a gradual change in consumption patterns…
Consumption Patterns in S. Korea (1980-2010): (spending distribution by COICOP groups. ( PPA Adjusted GDP per cápita) Source: BBVA Research
Emerging Markets Consumption Patterns (GDP pre capita order, % en consumer price index basket, 2012) Source: BBVA Research & IMF
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
1980 (6.095$) 1990 (13.068$) 2000 (20.901$) 2010 (29.717$)
Food & Non. Alc. Beberages Tobacco & Alcohol
Dressing & Shoes Housing
Menaje Health
Transport Communications
Leisure & Culture Education
Hotels and Catering Other Business Services
0
10
20
30
40
50
60
70
80
90
100
Nig
eri
a
Pakis
tán
Vie
tnam
India
Fili
pin
as
Egip
to
Ucr
ania
Taila
ndia
Perú
Colo
mbia
Sudáfr
ica
Bra
sil
Turq
uía
Méxic
o
Mala
sia
Rusi
a
Arg
entina
Chile
Polo
nia
Core
a
The Rise of Emerging Middle Classes
Population, Wealth Creation, Urbanization & Agglomeration will generate pressures on Infrastructure. Financial Deepening will help
Infrastructure & Financial Deepening
Income transition and changing consumption patterns: auto industry
Increase of world car fleet by decades (millions of units) Source: BBVA Research
GDP per capita (PPP-adj. USD) and car ownership (units per 1,000 people) Source: BBVA Research
EAGLEs = Brazil, China, India, Indonesia, Korea, Mexico, Russia, Taiwan and Turkey Nest = Bangladesh, Pakistan, Malaysia, Philippines, Thailand, Vietnam, Argentina, Chile, Colombia, Peru, Poland, Egypt, Nigeria, South Africa
Infrastructure & Financial Deepening
0
50
100
150
200
250
300
350
1980-1990 1990-2000 2000-2010 2010-2020
China EAGLEs exChina Nest US G6 Others
0
100
200
300
400
500
600
7 8 9 10 11 12
Car
ow
ners
hip
(units
per
1,0
00 p
eople
)
log of GDP per capita (real PPP-adjusted USD)
G7 (2020)
G7 (1980)
EAGLEs (2020)
EAGLEs
(1980)
Nest
(1980)
Nest
(2020)
-100
Expected annual increase in car fleet for the next decade concentrated in Asia and Latam
0% ≥8% 4% 2% 6%
Expected annual increase in World Car Fleet (2010-2020) (% yearly growth) Source: BBVA Research
Infrastructure & Financial Deepening
Thus infrastructure needs will continue to grow… specially in the high growth areas
Power
Transportation
Mobile
Fixed
Water
Sanitation
0
100
200
300
400
500
600
700
800
900
1.000
2012 2015 2018 2021 2024 2027 2030
USD billions
Annual Infrastructure Investment Needs in Developing Markets: Changes 2010-2030 ( Total in USD bns) Source: World Bank
0
50
100
150
200
250
300
350
AFR EAP ECA LAC MNA SAR
USD billions
Power Transportation Telecoms Water/Sanitation
AFR: SubSaharan Africa, EAP:East Asia Pacific, ECA: Eastern Europe and Central Asia, LAC: Latin America, MNA: Middle East N Africa, SAR:South Asia
Regional Infrastructure Investment Needs in Developing by Markets 2030 ( Total in USD bns) Source: World Bank
Infrastructure & Financial Deepening
But remember that the fiscal base is till low so new forms of financing are coming
-10
10
30
50
70
90
110
130
150
170
1984 1987 1990 1993 1996 1999 2002 2005 2008
Energy Telecommunications Transport Water
Public Private partnership infrastructure projects (in USD bns) Source: World Bank
0
10
20
30
40
50
60
70
0
20
40
60
80
100
120
140
160
180
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Other developing Brazil China India Russia Turkey
Public Private partnership infrastructure projects by Countries (in 2005 USD bns) Source: World Bank
Infrastructure & Financial Deepening
Private Credit to GDP: Changes 1998-2008 (Average Annual Change in the ratio) Source: BBVA Research
And the traditional “financial deepening” will acceletareDireccion Completa
Private Credit to GDP: Changes 1998-2008 (Average Annual Change in the ratio) Source: BBVA Research
Infrastructure & Financial Deepening
Facing a global productivity slowdown but with still higher productivity growth than developed
Countries. Younger and increasingly well prepared labor force: A real challenge for Developed
Technology, Productivity & Education
Total factor productivity is slowing down but EM premium is still alive
-1,5
-1,0
-0,5
0,0
0,5
1,0
1,5
2,0
2,5
WEurope USA Japan Europe Latam Asia M.East Africa
90-95 95-00 00-05 05-12
Total Factor Productivity Growth (1990-2012) (median, 5 years mov.avg growth rates) Source: Total Economy Database and Own Calculations)
Technology, Productivity &
Education
In some regions Education performance is near the OECD average…and human capital is not far from ours
Secondary school student performance (score; 2009) Source: BBVA Research and OECD PISA Report
Education index* and median age (2010) Source: Mckinsey (2012)
*Median Age
*Hum
an C
apital In
dex
Technology, Productivity &
Education
0
10
20
30
40
50
60
70
80
90
100
Pakis
tan
Nig
eri
aBangla
desh
S.A
fric
aIn
dia
Vie
tnam
Indonesi
aC
hin
aM
exic
oPhili
ppin
es
Egypt
Peru
Bra
zil
Mala
ysi
aC
olo
mbia
Turk
ey
Thaila
nd
Fra
nce UK
Chile
Japan
Italy
Avg G
7A
rgentina
Pola
nd
Russ
iaU
kra
ine
US
Kore
a
Differences in enrolment are centered in tertiary education
School enrolment (total enrollment over population of corresponding age; 2010*) Source: BBVA Research and World Bank
*Or latest year available
Secondary education Tertiary education
More divergences in tertiary education
0
10
20
30
40
50
60
70
80
90
100
Pakis
tan
Nig
eri
aBangla
desh
India
Mala
ysi
aIn
donesi
aV
ietn
am
Thaila
nd
Turk
ey
Chin
aEgypt
Phili
ppin
es
Arg
entina
Mexic
oC
hile
Russ
iaPeru
S.A
fric
aU
kra
ine
US
Colo
mbia
Pola
nd
Kore
aItaly
Canada
Bra
zil
UK
Japan
Avg G
7G
erm
any
Fra
nce
Technology, Productivity &
Education
Which is increasingly reflected in the Tech content of manufactures and services exports
0
5
10
15
20
25
30
35
40
45
50
55
60
65
70
Egypt
Nig
eri
aBangla
desh
Pakis
tan
Turk
ey
South
Afr
ica
Ukra
ine
Colo
mbia
Chile
Vie
tnam
Peru
Pola
nd
India
Italy
Arg
entina
Russ
iaBra
zil
Indonesi
aC
anada
Germ
any
Mexic
oG
7Ja
pan
US
UK
Thaila
nd
Fra
nce
Chin
aK
ore
aM
ala
ysi
aPhili
ppin
es
0
5
10
15
20
25
30
35
40
Nig
eri
aC
hile
Bra
zil
Peru
Turk
ey
Egypt
South
Afr
ica
Russ
iaC
olo
mbia
Ukra
ine
Pakis
tan
Fra
nce
Italy
Vie
tnam
Arg
entina
Japan
Indonesi
aG
7Bangla
desh
Canada
Germ
any
UK
US
Pola
nd
Kore
aC
hin
aThaila
nd
Mexic
oM
ala
ysi
aPhili
ppin
es
India
ICT goods exports ICT service exports
High Tech Exports (2010) (as % of manufactures exports) Source: World Bank
ICT Goods and Services Exports (as % of goods and service exports) Source: World Bank
Technology, Productivity &
Education
The last EM crisis (1990s) are key to explain the Special Resilience to the 2008 crisis and Low Vulnerability
Vulnerability & Resilience
Sovereign Rating Index 2007-2013 Source: BBVA Research by using S&P, Moodys and Fitch Data
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A vulnerability convergence Vulnerability &
Resilience
Risk Thresholds
0.0
50.0
100.0
150.0
200.0
250.0
Un
ited
Sta
tes
Can
ada
Japan
Aust
ralia
Ko
rea
No
rway
Sw
ed
en
Denm
ark
Fin
lan
dU
KA
ust
ria
Fra
nce
Germ
an
yN
eth
erl
an
ds
Belg
ium
Italy
Sp
ain
Irela
nd
Port
ug
al
Gre
ece
Czech
Rep
Bulg
ari
aC
roatia
Hu
ng
ary
Pola
nd
Ro
man
iaR
uss
iaT
urk
ey
Arg
en
tin
aB
razi
lC
hile
Co
lom
bia
Mexic
oP
eru
Ch
ina
Ind
iaIn
don
esi
aM
ala
ysi
aP
hilip
pin
es
Thaila
nd
Corporate Sector Debt 2013(% GDP)Source: BBVA Research and BIS
0
20
40
60
80
100
120
140
Un
ited
Sta
tes
Can
ada
Japan
Aust
ralia
Ko
rea
No
rway
Sw
ed
en
Denm
ark
Fin
lan
dU
KA
ust
ria
Fra
nce
Germ
an
yN
eth
erl
an
ds
Belg
ium
Italy
Sp
ain
Irela
nd
Port
ug
al
Gre
ece
Czech
Rep
Bulg
ari
aC
roatia
Hu
ng
ary
Pola
nd
Ro
man
iaR
uss
iaT
urk
ey
Arg
en
tin
aB
razi
lC
hile
Co
lom
bia
Mexic
oP
eru
Ch
ina
Ind
iaIn
don
esi
aM
ala
ysi
aP
hilip
pin
es
Thaila
nd
Gross Public Debt 2013(% GDP)Source: BBVA Research and IMF
24
5
18
0
0
50
100
150
200
250
300
Un
ited
Sta
tes
Can
ada
Japan
Aust
ralia
Ko
rea
No
rway
Sw
ed
en
Denm
ark
Fin
lan
dU
KA
ust
ria
Fra
nce
Germ
an
yN
eth
erl
an
ds
Belg
ium
Italy
Sp
ain
Irela
nd
Port
ug
al
Gre
ece
Czech
Rep
Bulg
ari
aC
roatia
Hu
ng
ary
Pola
nd
Ro
man
iaR
uss
iaT
urk
ey
Arg
en
tin
aB
razi
lC
hile
Co
lom
bia
Mexic
oP
eru
Ch
ina
Ind
iaIn
don
esi
aM
ala
ysi
aP
hilip
pin
es
Thaila
nd
External Debt 2013(% GDP)Source: BBVA Research and IMF
41
7
31
1
10
02
-10.0
10.0
30.0
50.0
70.0
90.0
110.0
130.0
150.0
Un
ited
Sta
tes
Can
ada
Japan
Aust
ralia
Ko
rea
No
rway
Sw
ed
en
Denm
ark
Fin
lan
dU
KA
ust
ria
Fra
nce
Germ
an
yN
eth
erl
an
ds
Belg
ium
Italy
Sp
ain
Irela
nd
Port
ug
al
Gre
ece
Czech
Rep
Bulg
ari
aC
roatia
Hu
ng
ary
Pola
nd
Ro
man
iaR
uss
iaT
urk
ey
Arg
en
tin
aB
razi
lC
hile
Co
lom
bia
Mexic
oP
eru
Ch
ina
Ind
iaIn
don
esi
aM
ala
ysi
aP
hilip
pin
es
Thaila
nd
Household Debt 2013(% GDP)Source: BBVA Research and BIS
0.0
50.0
100.0
150.0
200.0
250.0
Un
ited
Sta
tes
Can
ada
Japan
Aust
ralia
Ko
rea
No
rway
Sw
ed
en
Denm
ark
Fin
lan
dU
KA
ust
ria
Fra
nce
Germ
an
yN
eth
erl
an
ds
Belg
ium
Italy
Sp
ain
Irela
nd
Port
ug
al
Gre
ece
Czech
Rep
Bulg
ari
aC
roatia
Hu
ng
ary
Pola
nd
Ro
man
iaR
uss
iaT
urk
ey
Arg
en
tin
aB
razi
lC
hile
Co
lom
bia
Mexic
oP
eru
Ch
ina
Ind
iaIn
don
esi
aM
ala
ysi
aP
hilip
pin
es
Thaila
nd
Corporate Sector Debt 2013(% GDP)Source: BBVA Research and BIS
Somehow justified by Stock vulnerability data Vulnerability &
Resilience
USJapanCanadaUKDenmarkNetherlandsGermanyFranceItalyBelgiumGreeceSpainIrelandPortugalIcelandTurkeyPolandCzech RepHungaryRomaniaRussiaBulgariaCroatiaMexicoBrazilChileColombiaArgentinaPeruUruguayChinaKoreaThailandIndiaIndonesiaMalaysiaPhilippinesHong KongS ingapore
…De-leveraging: Credit/GDP growth declining
Non Available
Booming: Credit/GDP growth is higher than 5%
Excess Credit Growth: Credit/GDP growth between 3%-5%
High Growth: Credit/GDP growth between 2%-3%
Mild Growth: Credit/GDP growth between 1%-2%
Stagnant: Credit/GDP is declining betwen 0%-1%
Weste
rn E
uro
pe
Euro
pe E
MLA
TA
MA
sia
20092002 2010 2011 2012 2013
G4
2003 2004 2005 2006 2007 20081997 1998 1999 2000 2001
US #
Japan #
Canada #
UK #
Denmark #
Netherlands #
Germany #
France #
Italy #
Belgium #
Greece #
Spain #
Ireland #
Portugal #
Iceland #
TurkeyPolandCzech RepHungaryRomaniaRussiaBulgariaCroatiaMexicoBrazilChile #
Colombia #
Argentina #
Peru #
Uruguay #
China #
Korea #
Thailand #
IndiaIndonesiaMalaysia #
PhilippinesHong Kong #
S ingapore #
De-Leveraging: House prices are declining Non Available Data
Booming: Real House prices growth higher than 8% Excess Growth: Real House Prices Growth between 5% and 8%High Growth: Real House Prices growth between 3%-5%Mild Growth: Real House prices growth between 1%-3%Stagnant: Real House Prices growth between 0% and 1%
Euro
pa
Occ
iden
tal
Euro
pa
Em
ergen
teLA
TA
MA
sia
20092002 2010 2011 2012 2013
G4
2003 2004 2005 2006 2007 20081997 1998 1999 2000 2001
Private credit colour map (1996-2013 Q2) (yearly change of private credit-to-GDP ratio) Source: BBVA Research and Haver
Credit Bubbles are not particularly relevant to worry in excess… but some incipient signs have been appearing
Real housing prices colour map (1996-2013 Q2) (yearly change of real housing prices) Source: BBVA Research, BIS and Globalpropertyguide
Vulnerability & Resilience
Besides, some important previous vulnerabilities are now lower (except for EM Europe)…
0
10
20
30
40
50
60
70
80
90
100
Latv
ia
Cro
atia
Lithuania
Georg
ia
Bulg
ari
a
B.H
erz
egovin
a
Rom
ania
Mace
donia
Mold
ova
Ukra
ine
Pola
nd
Turk
ey
Russ
ia
Cze
ch R
.
Uru
guay
Peru
Para
guay
Hondura
s
Chile
Bra
zil
Colo
mbia
Arg
entina
Sin
gapore
Hong K
ong
Indonesi
a
Kore
a
India
Emerging Markets: FX Loans 2012 (% Total Loans, 2012 or latest available data) Source: IMF
Vulnerability & Resilience
Which is the result of several years of reforms…
• Exchange rate flexibility
• Fiscal discipline and debt consolidation
• Central bank independence
• Lower price increases and inflation-targeting
• Banking supervision
• Better business environment
Policies and reforms after late 90s-early 00s crises
Vulnerability & Resilience
Increasing share in World Trade with South-South flows increasing. Diminishing influence of GATT but increasing bilateral agreements
Openness
& Trade
The share of EM in World Trade is increasing
Distribution of world exports (% of total exports) Source: WTO
Distribution of world Imports (% of total exports) Source: WTO
Openness & Trade
(10.2%) (0.7%)
(8.1%)
(3.2%)
(0.6%) (0.7%)
(0.8%)
(2.6%)
(7.8%)
(1.6%)
(0.9%)
(3.4%)
(3.6%)
(2.5%)
Declining Share
About Same Share
Increasing Share
And trade routes are changing
Share of Total Trade between Geographic regions in World Trade 2011 (1990 shares in brackets) Source: WTO and BBVA Research
Openness & Trade
Rapid growth in emerging countries increases South-South relations
North-North61%
South-South
6%
South-North16%
North
-South
17%
North-North40%
South-South 15%
South-North24%
North
-South
20
%
Read more at: “Asia-driven South-South trade intensifies specialization patterns in the rest of emerging regions” www.bbvaresearch.com/KETD/fbin/mult/EWSouthSouthTrade_i_tcm348-390302.pdf?ts=3082013
Distribution of world exports according to origin and destination (% of total exports) Source: BBVA Research and IMF/DOTS
1980s-1990s 2010-2012
South in 40% of transactions South in 60% of transactions
Openness & Trade
GATT loosing influence but Increasing bilateral agreements
The Asian Noodle (Trade agreements in Asian Countries) Source: BBVA Research and IMF/DOTS
Openness & Trade
Still far from Developed Economies
Institutional challenges remain to keep growth momentum
Institutions
EMs improvements have been limited and the gap is still wide relative to the G7
Governance Indicators 1996-2012 (average of six indicators) Source: BBVA Research and WB
Governance Indicators 1996-2012 (average of six indicators) Source: BBVA Research and WB
Institutions
-2,5
-2,0
-1,5
-1,0
-0,5
0,0
0,5
1,0
1,5
2,0
2,5
19
96
19
98
20
00
20
02
20
03
20
04
20
05
20
06
20
07
20
08
20
09
20
10
20
11
20
12
EAGLEs Nest G7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
Colo
mbia
Ja
pan
Turk
ey
Kore
a
Mexic
o
Taiw
an
Indonesi
a
Pola
nd
Bra
zil
Chile
Peru
N
igeri
a
Fra
nce
R
uss
ia
Canada
Germ
any
Vie
tnam
C
hin
a
Mala
ysi
a
US
India
Bangla
desh
S.A
fric
a
UK
Phili
ppin
es
Italy
Pakis
tan
Egypt
Arg
entina
Thaila
nd
Institutions matter for capital attraction
FDI stock and institutional factors (FDI in % of GDP and institutional indicator as specified) Source: BBVA Research, UNCTAD, World Bank and CSP
Ease of Doing Business (ordinal ranking)
Governance (-2.5 to +2.5; inverted scale)
State fragility (0 to 25)
Institutions
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160
FD
I Sto
ck a
s a %
of
GD
P (
20
10
)
Ease of Doing Business Rank (2012)
0
10
20
30
40
50
60
70
80
-1.6 -1.2 -0.8 -0.4 0.0 0.4 0.8 1.2 1.6
FD
I Sto
ck a
s a %
of
GD
P (
20
10
)
Governance (2010)
0
10
20
30
40
50
60
70
80
0 2 4 6 8 10 12 14 16 18
FD
I Sto
ck a
s a %
of
GD
P (
20
10
)
State fragility (2010)
Institutions matter for welfare
6
7
8
9
10
11
12
2,5 3,0 3,5 4,0 4,5 5,0 5,5 6,0
PP
P-a
dju
ste
d G
DP
pe
r c
ap
ita
Global Competitiveness Index (1-7)
Global competitiveness index and GDP per capita (PPP-adjusted) (GCI from 1 to 7 and GDP per capita in logs) Source: BBVA Research and World Economic Forum
Institutions
6
7
8
9
10
11
12
2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0
PPP- adju
sted G
DP p
er
capita
Global Competitiveness Index (1-7)
Thank you…