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A comparative empirical perspective on governance in African countries
Transcript of A comparative empirical perspective on governance in African countries
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Afro-Pessimism vs. Irrational Exuberance
or a New Day for Africa Governance?:A comparative empirical perspective on
governance in African countries
Daniel Kaufmann & colleagues, World Bank Institute
www.worldbank.org/wbi/governance
Presentation at the JJ/WBGSP Scaling-Up ProgramConference, by the Joint Japan/World Bank Scholarship
Program, Washington, DC, November 12th, 2007.
If i t cannot be measured, it cannot be controlledLord Kelvin
Not everything that counts, can be counted, andnot everything that can be counted, counts
Einstein
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Evidence challenges Myths
Moving Away from Myths and Fallacies:
Afro-pessimism from focusing too long on poorperfomers, failures, or on long term averages
Irrational Exuberance by focusing on the recent shortterm, declaring premature victory (elevator economics)
Generalizations about the whole African continent excessive averaging & stereotypes
Old notions of what drives investment
Towards a new Reality:
Governance Matters for investment climate
Understanding the rich complexity, variety and contrastsacross the continent, from one country to the next
Learning from good performers: some leaders, countries,and institutions are showing the possible
Role of the International Community and Private Sector
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GDP growth Rates, 1960-2006 (WDI)
-2
-1
0
1
2
34
5
6
7
8
9
10
1960-9 1970-9 1980-9 1990-4 1995-9 2000-6
GDPgrowthrates
East Asia & Pacific
Low income
Countries
Sub-Saharan Africa
Av g
Sub-Saharan Africa
nonoil exporters
Source for data: WDI.
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GDP Per Capita Growth Rates, WDI 1960-2006
-2
-1
0
1
2
34
5
6
7
8
9
10
1960-9 1970-9 1980-9 1990-4 1995-9 2000-6
GDPpercapit
agrowthrates
East Asia & Pacific
Low income
Sub-Saharan Africa
Sub-Saharan Africa
nonoil exporters
Source for data: WDI.
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AFRICAS FIVE FASTEST GROWING ECONOMIES
STACK UP WELL WITH ASIA
0%
2%
4%
6%
8%
10%
12%
1960's 1970's 1980's 1990's 2000~2005
AnnualGDPgrowth,simpleaverage
Africa Average Africa top performers Asia top performers China
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BUT HIGH POPULATION GROWTH TAKES ITS TOLL
ON PER CAPITA INCOME.
-1%
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
10%
1960's 1970's 1980's 1990's 2000~2005
AnnualGDPpercapitagrowth,simpleave
rage
Africa Average Africa top performers Asia top performers China
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The Long View Sobering but some hope
While Africa Stagnated, East Asia SoaredGDP per capita: Africa & East Asia, 1960-2006
-- Chart depicts income per capita in 2000 constant terms. In 1960, actual per capita income of EastAsia region was $141, whi le Sub-Saharan Afr ica average was $432; in 1974 it was $202 and $595,respectively, in 1994 it was $677 and $486, and in 2006 it was $1473 for East Asia and $583 for Af rica.-- Source: WDI, Low-income economies are those in which 2006 GNI per capita was $905 or less (53countries of which 33 from Sub-Saharan Africa).
1473
509
0
200
400
600
800
1000
1200
1400
1600
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
GDPpercapit
aindex1960=100
East Asia & Pacific
Low income
Sub-Saharan Africa
583
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While Africa Stagnated, East Asia Soared
GDP per capita: Africa & East Asia, 1960-2007
-- Chart depicts income per capita in 2000 constant terms. In 1960, actual per capitaincome of East Asia region was $141, while Sub-Saharan Africa average was $432; in 1974it was $202 and $595, respect ively, in 1994 it was $677 and $486, and in 2006 it was $1473for East Asia and $583 for Afr ica (and projected to $605 for 2007).
-- Source: WDI, Low-income economies are those in which 2006 GNI per capita was $905or less (53 countries of which 33 from Sub-Saharan Africa).
1473
509
605
0
200
400
600
800
1000
1200
1400
1600
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
GDPpercapitaindex196
0=100
East Asia & Pacific
Low income
Sub-Saharan Africa
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Economic Performance has improved in Africa,
and is Becoming More Diverse
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SSA
Oil-Oil ExportingCountries
Oil-
importing
countries
6
10
14
18
22
26
2000 2001 2002 2003 2004 2005 2006
Source: IMF, SSA Regional Economic Outlook.
Macroeconomic Management has improved
(and also trade policy for instance)
Now, what is the Governance Situation...?
Inflation, 2000-06 (in %)
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Africas Share of World Trade is Falling
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Structural policies haveimproved
A s t r u c t u r a l sh i f t ?
Trends in African CPIA Scores: 2000-2005
3.10
3.15
3.20
3.25
3.30
2000 2001 2002 2003 2004 2005
SimpleaverageCPIAsco
resforSub-
SaharanAfrica
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Worldwide Governance Indicators Project:
Defining Governance Broadly
Governance consists of the traditions and
institutions by which authority in a country isexercised.
This includes:
the process by which governments areselected, monitored and replaced,
the capacity of the government to effectively
formulate and implement sound policies, and the respect of citizens and the state for theinstitutions that govern economic and socialinteractions among them.
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Worldwide Governance Indicators
Six aggregate governance indicators covering213 countries over past decade
Voice and Accountability
Political Stability/Absence of ViolenceGovernment Effectiveness
Regulatory Quality
Rule of LawControl of Corruption
Based on 31 data sources from 25 organizations,
capturing views of tens of thousands of informedstakeholders
Widely used by analysts, officials, civil society,
and researchers to monitory governance andstudy its causes and consequences
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2006 Governance Indicators, Selected Regions
0
1020
30
40
50
60
70
80
90
100
East As ia NICs
('Tigers')
East Asia
developing
Sub-saharan
Afr ic a
Former Sov iet
Union
Eastern Europ e
P
ercentileRa
nk(0-100)
Voice & Accountability Polit ical Stability / Lack of Violence
Gov ernment Effectiv eness Regulatory Quality
Rule of Law Contro l of Corruption
Source for data: 'Governance Matters VI: Governance Indicators for 1996-2006, by D. Kaufmann, A.Kraay and M. Mastruzzi, June 2007 - www.govindicators.org.
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Sub-Saharan Africa Average, 1998-2006
0
20
40
60
80
Voice &
Accountabil ity
Political
Stability / Lack
of Violence
Government
Effectiveness
Regulatory
Quality
Rule of Law Control of
Corruption
Percentile
Rank(0-100)
1998 2002 2006
Source for data: 'Governance Matters VI: Governance Indicators for 1996-2006, by D. Kaufmann, A.Kraay and M. Mastruzzi, June 2007 - www.govindicators.org.
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Sub-Saharan Africa Over Time - High Growth Performers,Non Resource-Rich Countries, 1998-2006
0
20
40
60
80
Voice &
Accountabil ity
Political
Stability / Lack
of Violence
Government
Effectiveness
Regulatory
Quality
Rule of Law Control of
Corruption
PercentileRank(0-10
0)
1998 2002 2006
Source for data: 'Governance Matters VI: Governance Indicators for 1996-2006, by D. Kaufmann, A.Kraay and M. Mastruzzi, June 2007 - www.govindicators.org. HighPerformers, Non Oil Rich countries included Mozambique, Rwanda, Cape Verde, Uganda, Mali, Botswana, Ethiopia, Tanzania, Mauritius, Mauritania, Benin, Ghana, Senegal,Burkina Faso, Gambia, Cameroon and Namibia.
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Sub-Saharan Africa Over Time
Resource-Rich Countries, 1998-2006
0
10
20
30
40
50
60
70
80
Voice &
Accountabil ity
Political
Stability / Lack
of Violence
Government
Effectiveness
Regulatory
Quality
Rule of Law Control of
Corruption
Percentile
Rank(0-100
)
1998 2002 2006
Source for data: 'Governance Matters VI: Governance Indicators for 1996-2006, by D. Kaufmann, A.Kraay and M. Mastruzzi, June 2007 - www.govindicators.org. Oil Richcountries included Gabon, Congo, Nigeria, Chad, Sudan, Angola and Equatorial Guinea.
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Sub-Saharan Africa Over Time - Low PerformersNon-Resource Rich Countries, 1998-2006
0
10
20
30
40
50
60
Voice &
Accountab ili ty
Political
Stability / Lack
of Violence
Government
Effectiveness
Regulatory
Quality
Rule o f Law Contro l o f
Corruption
Percentile
Rank(0-100
)
1998 2002
2004 2006
Source for data: 'Governance Matters VI: Governance Indicators for 1996-2006, by D. Kaufmann, A.Kraay and M. Mastruzzi, June 2007 - www.govindicators.org.
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Sub-Saharan Africa Resource-Rich vs. NonResource Rich Countries, 2006
0
10
20
30
40
50
60
Voice &
Accountab ili ty
Political
Stability / Lack
of Violence
Government
Effectiveness
Regulatory
Quality
Rule o f Law Contro l o f
Corruption
Percentile
Rank(0-100)
OIL RICH
NON RESOURCE RICH
Source for data: 'Governance Matters VI: Governance Indicators for 1996-2006, by D. Kaufmann, A.Kraay and M. Mastruzzi, June 2007 - www.govindicators.org. Oil Richcountries included Gabon, Congo, Nigeria, Chad, Sudan, Angola and Equatorial Guinea
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-2
0
2
Voice &
Accountability
Control of
Corruption
Government
Effectiveness
Political Stability
/ No Violence
Regulatory
quality
Rule of Law
Aver
ageGovernanceScore
High growth countries Low growth countries
Oil-Rich
Good
Bad
Chart shows average WBI governance scores by the AAP categories of countries. Oil rich countries consistently have the worstscores, followed by low performers, and finally by high performing countries. Statistically, high performers have better scores acrossall governance categories than other countries. Interestingly, and in contrast to The Economists generalization, oil rich countrieshave statistically equal scores to other countries in voice and accountability, control of corruption, and rule of law. But oil producers
have significantly lower scores on the remaining indicators.Source: A Note on Governance and Economic Performance in Sub-Saharan Africa, World Bank, page 1 August 2007.
Higher Growth and governance ratings differ significantlyamong groups of countries, WGI 2006
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-0.5
0
0.5
Voice &
Accountability
Control of
Corruption
Government
Effectiveness
Political Stability
/ No Violence
Regulatory
quality
Rule of Law
GovernanceChange,2
006-1996
High growth countries Low growth countries Oil-Rich
Improvement
Source: A Note on Governance and Economic Performance in Sub-Saharan Africa, World Bank, page 2 August 2007.
Worsen
ing
Governance has improved in higher growth countries,WGI 1996-2006
High performing countries had both a growth acceleration and improvements in all governance indicators. Slow growers experiencedgrowth and governance deteriorations. Oil rich countries present a mixed picture. They had a significant jump in growth rates,accompanied by improvements in political stability, regulatory quality and rule of law and deteriorations in voice and accountability,control of corruption, and government effectiveness.
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Control of Corruption, 2006: Africa Map
Source for data: : 'Governance Matters VI: Governance Indicators for 1996-2006, D. Kaufmann, A. Kraay and M. Mastruzzi, July 2007
(http://www.worldbank.org/wbi/governance/govdata/); Colors are assigned according to the following criteria: Dark Red, bottom 10th percentile rank; Light
Red between 10th and 25th ; Orange, between 25th and 50th ; Yellow, between 50th and 75th ; Light Green between 75th and 90th ; Dark Green above 90th.
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Government Effectiveness, 2006: Africa Map
Source for data: : 'Governance Matters VI: Governance Indicators for 1996-2006, D. Kaufmann, A. Kraay and M. Mastruzzi, July 2007
(http://www.worldbank.org/wbi/governance/govdata/); Colors are assigned according to the following criteria: Dark Red, bottom 10th percentile rank; Light
Red between 10th and 25th ; Orange, between 25th and 50th ; Yellow, between 50th and 75th ; Light Green between 75th and 90th ; Dark Green above 90th.
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Control of Corruption, 2006: Selected Countries
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Voice & Accountability, 2006: Selected Countries
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Government Effectiveness, 2006: Selected Countries
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Regulatory Quality, 2006: Selected Countries
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Governance Indicators for Ghana, 1998-2006
Source for data: : 'Governance Matters VI: Governance Indicators for 1996-2006, D. Kaufmann, A. Kraay and M. Mastruzzi, July 2007
(http://www.worldbank.org/wbi/governance/govdata/); Colors are assigned according to the following criteria: Dark Red, bottom 10th percentile rank; Light
Red between 10th and 25th ; Orange, between 25th and 50th ; Yellow, between 50th and 75th ; Light Green between 75th and 90th ; Dark Green above 90th.
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Governance Indicators for Mozambique, 1998-2006
Source for data: : 'Governance Matters VI: Governance Indicators for 1996-2006, D. Kaufmann, A. Kraay and M. Mastruzzi, July 2007
(http://www.worldbank.org/wbi/governance/govdata/); Colors are assigned according to the following criteria: Dark Red, bottom 10th percentile rank; Light
Red between 10th and 25th ; Orange, between 25th and 50th ; Yellow, between 50th and 75th ; Light Green between 75th and 90th ; Dark Green above 90th.
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Governance Indicators for Zimbabwe, 1998-2006
Source for data: : 'Governance Matters VI: Governance Indicators for 1996-2006, D. Kaufmann, A. Kraay and M. Mastruzzi, July 2007
(http://www.worldbank.org/wbi/governance/govdata/); Colors are assigned according to the following criteria: Dark Red, bottom 10th percentile rank; LightRed between 10th and 25th ; Orange, between 25th and 50th ; Yellow, between 50th and 75th ; Light Green between 75th and 90th ; Dark Green above 90th.
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Governance Indicators for Cameroon, 1998-2006
Source for data: : 'Governance Matters VI: Governance Indicators for 1996-2006, D. Kaufmann, A. Kraay and M. Mastruzzi, July 2007
(http://www.worldbank.org/wbi/governance/govdata/); Colors are assigned according to the following criteria: Dark Red, bottom 10th percentile rank; LightRed between 10th and 25th ; Orange, between 25th and 50th ; Yellow, between 50th and 75th ; Light Green between 75th and 90th ; Dark Green above 90th.
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Careful about generalizations, because of
enormous Variance, at many levelsAlready observed:
-- Variance across countries in Africa-- Variance over time
-- Variance across different dimensions of
Governance within the same countryNow:
-- Variance across different institutions
within the same country-- Variance across different manifestations
of bribery, of types of corruption
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0
20
40
60
80
100
Sub-saharan
Africa
Botswana Mozambique Tanzania Zimbabwe
Independence of Judiciary Parliament Police
% Firms reporting satisfactory quality
Quality of Institutions, 2006
Source: EOS firm survey, WEF2006.
U b dli Diff t M if t ti f B ib
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0
20
40
60
80
100
Permits Utility Taxation Procurement Judiciary
Frequency
ofBribery
Sub-saharan Africa MozambiqueTanzania Zimbabwe
Unbundling Different Manifestations of Bribery,EOS 2006
% Firm Report High Bribery (1-3)
Source: EOS firm survey, WEF2006. Questions: In your industry, how commonly firms make undocumented extra payments or bribes connected with permits /
utilities / taxation / awarding of public contracts / judiciary? (commonnever occurs). How commonly do firms like yours make undocumented extra payments tolower level public servants / high ranking politicians, political parties, and senior public servants to secure business?
High
Bribery
LowBribery
Bribery in:
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0
20
40
60
80
100
Sub-saharan Africa Mozambique Tanzania Zimbabwe
Foreign Currency Infrastructure Corruption
Tax Regulations Inflation
% firms reporting constraint among top 3:
Top Constraints to Business, EOS 2006
Source: EOS 2006. The question posed to the firm was: Select among the above 14 constraints the five most problematic factors for doing business in your country.Note that the overall EOS sample covers 125 countries.
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De Jure: Index of Doing Business
0
20
40
60
80
100
Benin
Cameroo
n
Cte
d'Iv
oire
Georgia
Nige
ria
South
Afric
a
Tunisia
DoingBusinessIndex
(Rank) 2005 2006 2007
BEST
WORST
Source for data: Doing Business, 2005-2007. The Index is an average across 10 indicators: starting a business,
dealing with licenses, employing workers, registering property, getting credit, protecting investors, paying taxes,trading across borders, enforcing contract, and closing a business.
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De Jure Index of Doing Business
0
20
40
60
80
100
OE
CD
East
AsiaN
ICs
East
Asiade
velop
ing
SouthA
sia
Sub-
saha
ranAf
rica
Mid
dleEa
st/No
rthAfri
ca
Form
erSoviet Un
ion
EasternEur
ope
Latin
Americ
a
Caribb
ean
DoingB
usinessIndex(Rank)
2005 2007
Source for data: Doing Business, 2005-2007. The Index is an average across 10 indicators: starting a business,
dealing with licenses, employing workers, registering property, getting credit, protecting investors, paying taxes,trading across borders, enforcing contract, and closing a business.
BEST
WORST
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Press Freedom (FRH) in Sub-Saharan Africa,
1995 vs. 2006
47
44
9
Not Free
Part Free
Free
% countries in 1995
45
40
15
Not Free
Part Free
Free
% countries in 2006
Source: 2006 Freedom House. Y axis measures percentage of countries in the region with free press (rating of 30 or below), partly
free (ratings between 30 and 60) and not free (rating above 60). In 1995 there were 45 countries divided into red (21), yellow (20)and green (4). In 2006 there were 47 countries divided into red (21), yellow (19) and green (7).
Freedom of the Press is associated with
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-1.5-
-1.0-
-0.5-
0-
0.5-
1.0-
1.5-
Not Free ofPartially Free
Freedom of the Press is associated withbetter Control of Corruption (& civil l iberties
more generally is associated with better performance of WorldBank-funded projects see WBER article 1997)
Free
_________________________________________________________________
Source for control of corruption: : 'Governance Matters V: Governance Indicators for 1996-2005, D. Kaufmann, A. Kraay and M. Mastruzzi, September
2006 (http://www.govindicators.org/). Source for Press Freedom: 2006 Freedom Houses Press Freedom Report.Terciles divided according to PressFreedom ratings (190 countries total). Free: 0-30 (69); Partly Free: 31-60 (54); Not Free: 61-100 (67).
Press FreedomStatus:
ControlofCorrupti
on
Good
r = .66
I C it F d f th P 2005
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Income per Capita vs. Freedom of the Press, 2005
PR K
TKM
MM R
LB YCUB
ERI
ZWEUZB
GNQ
BLR
WBG
SD N
RWA
SYR
IRNTUN
SOM
CHN
YEM
LA O
ZAR
VNM
SA U
TGO
SWZ
NPL
BRN
TJK
KA Z
ETHBD I
GMB
TCD
AZE
VENRUS
BHR
IRQ
OMN
MDV
DJ I
AFG
HTI
BGD
GIN
GAB
SGP
AR E
MDA
MYS
CIVCMRBTN
AGO
ZMBLB R
KGZAR M
QAT
PA K
MA RJOREGY
COL
CA F
KH M
DZA
SYC
LB N
SL E
LK A
KEN
IDNGTM
PR Y
MRT
GEO
NER
KWT
MWI
NGA
UK R
UGA
HND
COG
THA
TZA
AL B
MDG
MK D
TURMEX
GNB
COMBI H
AR G
SEN
ROM
NIC
PA N
MOZ
SLV
LS O
ECU
YUG
PHL
TMP
PER
HRVBRA
BFA
ATG
IND
DOM
ITA
BWA
MNG
BGR
BOL
TON
CPV
SL B
NRUNA M
KOR
BEN
STP
SA M
PN G
HK G
URY
KIR
ISR
GRC
GHA
FJI
ZAF
GUY
TUV
TTO
MUS
CHL
VUT
MLI
SU R
GRD
CYP
KNA
ESP
POLHUN
FRA
BLZ
AUT
TWN
SVN
SVK
FSM
JP N
CZE
LVADMA
AU S
LCA
MLT
LTU
CRI
CA N
SM R
JA M
BR B
US A
VCT
MCODEU
EST
BH S
MHL
IRL
PR T
PC I
AD ONZLLIE
CHENLD
LUX
BELSWE
DNKIS LFIN
2
3
4
5
0 20 40 60 80 100
Press Freedom
I
ncomeperCapita
Low
Low High
High
Source for income per capita: Heston-Summers.Source for Press Freedom: Freedom House, 2006.
r = 0.50
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Finland0
20
40
60
80
100
120
140
160
180
200
-2 -1 0 1 2
'Voice' (including freedom o f the press), Civil
L iberties and Accountability
InfantMortality
Voice & Accountability Matters for Development
Source: KKZ 1999
G M tt Th 300% Di id d
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Governance Matters: The 300% Dividend
1. Large Development Dividend of Good Governance:
a one-standard-deviation improvement in governance
raise incomes per capita in a country by about 300%in long-run
2. But is such a decline in corruption unrealistically
large?: NO -- One S.D. is the difference from: Eq.Guinea Iran or Uganda Mauritius Portugal Finland or New Zealand
3. The impact is from governance to incomes, and not
vice versa -- higherincomes alone will not do
4. Urgency of interventions to improve governance
D l t Di id d F G d G
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Development Dividend From Good Governance
Low Governance Medium Governance High Governance
Contro l of Corrup tion
$300
$3,000
$30,000
Data Source for calcu lations: KK 2004. Y-axis measures predicted GDP per capita on the basis of Inst rumental Variable (IV)results for each of the 3 categories. Estimations based on various authors studies, including Kaufmann and Kraay.
Global Competitiveness Index vs. Control
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pof Corruption, 2006
ZWE
ZMB
VNM
VEN
URY
USA
GBR
ARE
UKR
UGA
TUR
TUN
TTO
TMP
THA
TZA
TJK
TWN
CHESWE
SUR
LKA
ESP
ZAF
SVN
SVK
SGP
YUG
RUS
ROM
QAT
PRT
POL
PHL PER
PRY
PAN
PAK
NOR
NGA
NIC
NZL
NLD
NPL
NAM
MOZ
MAR
MNG
MDA
MEXMUS
MRT
MLT
MLI
MYS
MWI
MDG
MKD
LUX
LTU
LSO
LVA
KGZ
KWT
KOR
KEN
KAZ
JOR
JPN
JAM
ITA
ISR
IRL
IDN
IND
ISL
HUN
HKG
HND
GUY
GTM
GRC
DEU
GEO
GMB
FRA
FIN
ETH
EST
SLV
ECU
DOM
DNK
CZE
CYP
HRVCRI
COL
CHN
CHL
TCD
CAN
CMR
KHM
BDI
BFA
BGR
BRA
BWA
BIH
BOL
BEN
BEL
BRB
BGD
BHR
AZE
AUT
AUS
ARG
DZA
ALB
0
20
40
60
80
100
-2 1 3
Control of Corruption
G
lobalCom
petitiveIndex
Low High
High
r = 0.86
Source: EOS firm survey, WEF 2006 and 'Governance Matters VI: Governance Indicators for 1996-2006, D. Kaufmann, A. Kraay and M. Mastruzzi,July 2007 (http://www.govindicators.org/).
Responsibility of the Private Sector &
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10-
20-
30-
40-
50-
60-
70-
Multinational inOECD, HQ in
another OECD
Multinationaloperating outside
OECD, HQ in OECD
Source: EOS2006. Questions: When firms like yours do business with the government, how much of the contract value must they offer in additional paymentsto secure the contract?. Y-axis shows percentage of firms who admitted paying bribes. Last bar excludes small with less than 50 employees.
Responsibility of the Private Sector &
Multinationals on Anti-Corruption(% of Firms Reporting Procurement Bribery, 2006)
Domestic Firms in NONOECD Countries (comparable)
_________________________________________________________________
Locationof Firm:
Country specific in depth Governance
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Country-specific, in-depth Governance
and Anti-Corruption diagnostic surveys
A demand-driven process to improve governance and
build local capacity Key features:
Three surveys: households, firms, and public officials
Questions focus both on experience and perceptions
Questions are tested and adapted to local realities
Rigorous technical requirements in implementation
Local institution implements, with guidance from internationalexperts
Outcomes: greater local capacity, baseline governancedata, and action plan for policy reform
Th f di ti d t d
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The power of diagnostic data and
key dimensions for analysis
1. Participatory and Transparency Tool, for all
stakeholders within the country to be involved2. Unpackage corruption administrative, state
capture, bidding, theft of public resources,purchase of licenses
3. Identify weak and strong institutions
4. Assess the costs of corruption on differentstakeholders
5. Identify key determinants of good governance
6. Input to develop concrete policyrecommendations
Corruption penalizes especially theCorruption penalizes especially the
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Corruption penalizes especially theCorruption penalizes especially the
poorest citizenspoorest citizens(% of monthly income paid
for bribes as reported by households whosought a public service, 2000-2005
0.0
5.0
10.0
15.0
20.0
25.0
Gha
na(200
0)
Guine
a(20
04)
Low Income Middle income High income
Corruption acts as a regressive tax, andCorruption acts as a regressive tax, and
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Corruption acts as a regressive tax, andCo upt o acts as a eg ess e ta , a d
small firms pay more in bribes,small firms pay more in bribes, 2000-2005(% of gross monthly revenue paid in bribes, as reported byfirms)
0
1
2
3
45
6
7
89
Guine
a(20
04)
Gha
na(200
0)
Small
Medium
Large
Governance Indicators by agency
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Governance Indicators, by agency
(based on responses of public officials from 20agencies, Guinea 2004)Audit
MechanismsEnforcement of
RulesQuality of
RulesPoliticization Resources Transparency
CitizenVoice
WageSatisfaction
ServiceState
CaptureOverall
Corruption
Ministre de la justice 63 51 55 44 37 47 72 19 67 44 39
Ministre de la Scurit 62 50 57 44 38 47 74 18 69 38 35
Ministre de lAdministration et de la Dcentralisation 61 53 54 42 39 49 75 29 70 45 45
Ministre des Finances 76 72 60 40 43 58 80 28 67 51 30
Ministre de lEnseignement Suprieurs et RechercheScientifique
62 50 56 44 35 46 74 20 69 47 42
Ministre de lUrbanisme et Habitat 76 42 33 64 75 38 5
Ministre de la Sant Publique 70 63 57 43 35 60 70 30 58 40 44
Service Communal 62 51 34 40 52 64 13 49 49Service Sous Prfectoral 58 43 55 45 32 43 72 13 64 52 37
Ministre de la Communication 52 61 44 38 46 75 42 65 69
Ministre de la Jeunesse et Sports 60 52 56 42 42 53 73 11 71 52 42
Ligue Islamique Nationale 62 60 59 41 41 49 75 28 64 43 33
Ministre de lAgriculture 61 58 57 42 38 45 77 30 65 36 36
Ministre de lenseignement Pr Universitaire 67 69 57 41 50 50 72 42 76 45 31
Ministre de la Fonction Publique 44 60 45 44 44 71 25 56 10Organisation Non Gouvernementale (ONG) 59 53 41 48 44 82 8 70 54
Entreprise Micro Finance 32 73 8 80 13
Ministre de lEnergie, Mines et Environnement 70 49 55 52 25 74
Whole Country 62 50 57 45 34 46 75 20 68 42 37
The indicators above take values between 0-100. To interpret them please keep in mind that:
-The higher the value of the governance indicator the better the quality of that dimension .-The higher the value of the corruption index, the more severe the problem.
Country Diagnostics: a few salient lessons
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Country Diagnostics: a few salient lessons
Governance and A-C (GAC) diagnosticc affectthe policy debate and serve as an input in thedesign of a National A-C Strategy
Transparency and public dissemination of theresults are key
The approach must be participatory at each
stage of the process To unbundle corruption and institutional
weaknesses allows to identify key areas forreform
Quality control and use of rigorous analyticalmethods enhance the credibil ity of the results
Synthesis
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Synthesis
Governance and Corruption Control is fundamentalfor Development and Growth
Data, Analysis, and formulation of action programs:all very important.. Also lessons from others, but
Concrete Reforms and country leadership is key
World Bank & rich countries can (and do) assistcountries in governance reforms, capacity building,
supporting civil society, media, etc. (incl. StAR) But international community only plays supportive
role the country leads (executive, legislative, civil
society, media, private sector, competitiveness) Key: Political, Judiciary & Procurement Reforms
Role of the Private Sector and Multinationals
Transparency, Voice, Press Freedom are key
Concretely: 10 Transparency Reform Components
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1. Public Disclosure of Assets & Incomes of Candidates, PublicOfficials, Politicians, Legislators - & dependents
2. Public Disclosure of Political Campaign contributions byindividuals and firms, and of campaign expenditures
3. Public Disclosure of Parliamentary Votes, w/out exceptions4. Effective Implementation of Conflict of Interest Laws,
separating business, politics, legislation, & government
5. Publicly blacklisting firms bribing in public procurement
6. Effective Implementation of Freedom of Information Law,with easy access to all to government information
7. Fiscal/Financial transparency: EITI,budgets, ROSCs
8. E*procurement: transparency (web) and competition9. Media Freedoms & Media Development
10. Country Diagnostic (& Scorecard) on Transparency &Governance
And GAC, and StAR
Power of Data, Transparency and Citizen Oversight
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0.0
0.5
1.0
1.5
2.0
2.5
3.0
3.5
1990 1991 1993 1994 1995
equiv. US$ per student
Intended grant Actual grant received by primary school (means)
1999
Source: Uganda Public Expenditure Tracking Surveys
Tracking Education spending in Uganda
, p y g
Public info campaign
Most effective Anticorruption Measures?
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10%
40%
70%
Leadership
Example
Economic
Deregulation
Transparent
Budget
Public Sector
Reform
Civil Liberties/
Voice
PrivatizationAnti -Corrup tion
Commissions
%o
fresponde
ntsthatmark'h
igh'
Source: D. Kaufmann, Corruption: The Facts,Foreign Policy, Summer, 1997
Responses from Officials and Leaders in 62 countries
Data for Analysis and Informing Policy Advice,
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Data for Analysis and Informing Policy Advice,
Not for Precise RankingsAny data on Governance, Institutions, and InvestmentClimate are subject to a margin of error. They are not
intended for precise country rankings, but to highlight
relative strengths and weaknesses and draw analytical andpolicy lessons. The data and indicators do not necessarily
reflect official views on rankings by the World Bank or its
Board of Directors. Errors are responsibility of the mainauthor. This presentation draws from collaboration and
inputs from Aart Kray and Massimo Mastruzzi as well as
staff from the Africa region.
Further materials & access to interactive data:
General: www.worldbank.org/wbi/governance
Data: www.govindicators.org