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A	New	Economy	for	MNA
Rabah	Arezki
Chief	Economist,	Middle	East	and	North	Africa
World	Bank
a	moonshot	
for	MNA
Photo Credit: NASA
context
regional	context
from	the	old	to	the	new	social	contract
• Old	social	contract.	Public	sector	jobs	and	universal	
subsidies	amounting	to	de-risking	economic	lives	of	
citizens	in	exchange	for	“little	voice	and	accountability”.	
Led	to	weak	service	delivery	and	mistrust.	
• New	social	contract.	economically	empower	the	fast	
growing	youth	(who	currently	are	on	social	media	voicing	
grievances).	Promote	the	emergence	of	a	“new	
(service/digital)	economy”,	autonomous	and	driven	by	the	
youth.
the	(promise	of	a)	new	economy	for	MNA
today
new	economy traditional	economy
future
traditional	economy new	economy
strategic	shift:	disruptive	technologies
“old	economy”	paradigm “new	economy“	paradigm
governance
market	structure	(entry/exit)
technology
governance
market	structure	(entry/exit)
technology
New	
Economy
Old	
Economy
Traditional	Utilities
Electricity	
Gas
Transportation
Digital	Utilities
Broadband Digital	
Payment
mental	shift:	from	physical	to	digital	infrastructure
global	context
the	next	global	wave	of	disruption:	
from	automation	to	autonomous
Market	Size
($	Billions)
Mainframe
Computers
PC
Internet
Mobile
Cloud
Big	Data
Analytics
Artificial
Intelligence/
Machine
Learning
Computing	Power,	Broadband,	Data	Storage
cost	/	performance
MNA	unbalanced	nexus	between	human	
capital	and	technology
demographic	wave
300	millions	entering	the	labor	market
050100150200250300350400
2000 2010 2020 2030 2040 2050
Reference date (as of 1 July)
youth senior
Sources: UN WPP (2017), WB WDI, and World Bank staff calculations.
Youth and Senior in MENA Region Since 2000 in Scenario 1
0
1
2
3
4
5
6
7
80
1
2
3
4
5
6
7
8
9
10
1950195519601965197019751980198519901995200020052010
Male
Female
Fertility	(percent,	right
scale,	reversed	order)
Years	of	Schooling	for	Youth	Entrants		vs	Fertility	in	
MENA	
Sources:Barro	and	Lee,	WDI,	and	World	Bank	staff	
calculations.
…with	rising	aspirations	of	
increasingly	educated	and	female	
labor	market	entrants	(male	are	
somewhat	flanking)
Educated	but	unemployed
unemployment	rate	by	education	levels
(%	of	labor	force	with	indicated	education	level,	WDI)
0
10
20
30
40
50
2001 2003 2005 2007 2009 2011 2013 2015
West	Bank	and	Gaza
0
10
20
30
40
50
1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016
Tunisia
0
10
20
30
40
50
2008 2009 2010 2011 2012 2013 2014 2015 2016
Egypt
0
10
20
30
40
50
1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016
USA
0
10
20
30
40
50
1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016
Germany
0
10
20
30
40
50
1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017
Sweden
brain	drain:	human	capital	as	an	export	market
0
5
10
15
20
25
30
35
40
45
50
Australia
China
HongKong,China
Indonesia
Japan
Cambodia
LaoPeople'sDemocraticRepublic
Myanmar
Mongolia
Malaysia
NewZealand
Philippines
PapuaNewGuinea
Singapore
Thailand
Timor-Leste
VietNam
Albania
Austria
Belgium
Bulgaria
Switzerland
Cyprus
Germany
Denmark
Spain
Finland
France
UnitedKingdom
Greece
Hungary
Ireland
Italy
Netherlands
Norway
Poland
Portugal
Romania
Sweden
Turkey
Argentina
Bolivia
Brazil
Chile
Colombia
CostaRica
Cuba
DominicanRepublic
Ecuador
Guatemala
Honduras
Haiti
Jamaica
Mexico
Nicaragua
Panama
Peru
PuertoRico
Paraguay
ElSalvador
TrinidadandTobago
Uruguay
Venezuela(BolivarianRepublicof)
UnitedArabEmirates
Bahrain
Algeria
Egypt
Iran(IslamicRepublicof)
Iraq
Israel
Jordan
Kuwait
Lebanon
LibyanArabJamahiriya
Morocco
Oman
OccupiedPalestinianTerritory
Qatar
SaudiArabia
SyrianArabRepublic
Tunisia
Yemen
Canada
UnitedStatesofAmerica
Afghanistan
Bangladesh
India
SriLanka
Nepal
Pakistan
Angola
Burundi
Benin
BurkinaFaso
Botswana
CentralAfricanRepublic
Côted'Ivoire
Cameroon
DemocraticRepublicoftheCongo
Congo
Eritrea
Ethiopia
Gabon
Ghana
Guinea
Gambia
Guinea-Bissau
EquatorialGuinea
Kenya
Liberia
Lesotho
Madagascar
Mali
Mozambique
Mauritania
Mauritius
Malawi
Namibia
Niger
Nigeria
Rwanda
Sudan
Senegal
SierraLeone
Somalia
Swaziland
Chad
Togo
UnitedRepublicofTanzania
Uganda
SouthAfrica
Zambia
Zimbabwe
East Asia & Pacific Europe & Central Asia Latin America & Caribbean Middle East & North Africa North AmericaSouth Asia Sub-Saharan Africa
Share	of	tertiary-educated	of	the	emigrant	population
EAP
ECA
LAC
MNA
NAC
SAS
SSA
Source:	Database	on	Immigrants	in	OECD	Countries,	 DIOC-E	2000	(RELEASE	3.0), and	World	Bank	staff	calculations.
technology	gap
high	mobile	penetration	but	limited	
broadband
0
5
10
15
20
25
30
35
40
All	countries
Middle	East	&	North	Africa
Latin	America	&	Caribbean
East	Asia	&	Pacific
Europe	&	Central	Asia
South	Asia
Sub-Saharan	Africa
North	America
Upper	middle	income
High	income
Lower	middle	income
Low	income
World Region Income	Group
Fixed-line broadband	subscribers	
Per	100	inhabitants
Sources:	The	Economist	Intelligence	Unit,	
Inclusive	Internet	Index	2018; and	World	
Bank	staff	calculations.
0
20
40
60
80
100
120
140
All	countries
Middle	East	&	North	Africa
Latin	America	&	Caribbean
East	Asia	&	Pacific
Europe	&	Central	Asia
South	Asia
Sub-Saharan	Africa
North	America
Upper	middle	income
High	income
Lower	middle	income
Low	income
World Region Income	Group
Mobile	subscribers	
Per	100	inhabitants
Sources:	The	Economist	Intelligence	Unit,	
Inclusive	Internet	Index	2018; and	World	
Bank	staff	calculations.
poor	internet	quality	and	nearly	no	cashless	
payment
0
50000
100000
150000
200000
250000
All	countries
Middle	East	&	North	Africa
Latin	America	&	Caribbean
East	Asia	&	Pacific
Europe	&	Central	Asia
South	Asia
Sub-Saharan	Africa
North	America
Upper	middle	income
High	income
Lower	middle	income
Low	incomeWorld Region Income	Group
Bandwidth	capacity in	Bits
per	internet	user
Sources:	The	Economist	Intelligence	Unit,	
Inclusive	Internet	Index	2018; and	World	
Bank	staff	calculations.
0
20
40
60
80
100
120
140
160
180
Middle	East	&	North	Africa
East	Asia	&	Pacific
Europe	&	Central	Asia
Latin	America	&	Caribbean
South	Asia
Sub-Saharan	Africa
Average	number	of	per	capita	cashless	
transactions	(2015)	
Sources:	World	 Bank,	Global	Payment	Survey	
2016; and	World	Bank	staff	calculations.
market	structure	and	incumbency	in	wireless	
and	broadband
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
All	countries
Middle	East	&	North	Africa
Latin	America	&	Caribbean
East	Asia	&	Pacific
Europe	&	Central	Asia
South	Asia
Sub-Saharan	Africa
North	America
Upper	middle	income
High	income
Lower	middle	income
Low	income
World Region Income	Group
Wireless	operators'	market	share
HHI	score	(0-10,000)
Sources:	The	Economist	Intelligence	Unit,	
Inclusive	Internet	Index	2018; and	World	
Bank	staff	calculations.
0
1000
2000
3000
4000
5000
6000
7000
8000
All	countries
Middle	East	&	North	Africa
Latin	America	&	Caribbean
East	Asia	&	Pacific
Europe	&	Central	Asia
South	Asia
Sub-Saharan	Africa
North	America
Upper	middle	income
High	income
Lower	middle	income
Low	income
World Region Income	Group
Broadbank	operators'	market	share
HHI	score	(0-10,000)
Sources:	The	Economist	Intelligence	Unit,	
Inclusive	Internet	Index	2018; and	World	
Bank	staff	calculations.
instagram/facebook but	not	paypal
Source:	internetworldstats
0
20
40
60
80
100
120
USA GBR FRA TUN DZA EGY LBN MAR CHL ZAF
OECD MENA Other
Internet	users	on	Social	Media
0
10
20
30
40
50
60
70
FRA GBR USA UAE EGY SAU ZAF MEX KEN
OECD MENA Other
Cashless-payments
Source:	Estimates	from	MasterCard	Advisors	analysis,	2013
some	green	shoots:	the	advent	of	
multisided	platforms
Careem:	Uber	of	the	Middle	East
Platforms	in	MNA 22
Forbes
Entrepreneur
CNBC
SOUQ:	The	Middle	East’s	Amazon
Platforms	in	MNA 23
Forbes
Tech	Crunch
Inc.
JAMALON:	Middle	East’s	books	provider
Platforms	in	MNA 24
Entrepreneur
Forbes
Quartz
Thank	you

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