Bibliographie
Bourbonnais Regis, 1998, Manuel et exercices Corrigis :
Econometrie. Paris, Dunod, Deuxieme Edition
Bruno Deffains, Jean-Daniel Guigou, 2002, « Droit,
systemes financiers et gouvernement
d'entreprises », in n° special
« Droit et Economie », Revue d'Economie Politique,n°
6.
Daron Acemoglu, Simon Johnson, James Robinson, 2004.
Institutions as the Fundamental Cause of Long-Run Growth. Handbook of
Economic Growth.
Edward L. Glaeser, Rafael La Porta, Florencio Lopez-de-Silanes,
Andrei Shleifer, 2004, "Do institutions cause growth?", NBER Working Paper
#(105 68) , Cambridge, MA.
La Porta R., Lopez-de-Silanes F., Shleifer A. et Vishny R.,1999,
« The quality of government », Journal of Law, Economics and
Organi=ation, pp. 222-279.
Janine Aron, 2000, "Growth and Institutions: A Review of the
Evidence", the World Bank Research Observer, vol. 15, no. 1 (February
2000), pp. 99-135.
North, D., 1990, Institutions, Institutional change and
Economic Performance, Cambridge University Press.
Simeon Djankov, Rafael La Porta, Florencio Lopez-de-Silanes, and
Andrei Shleifer, 2002. "Appropriate Institutions" World Bank, Harvard
University, Yale University.
Simeon Djankov, Edward L. Glaeser, Rafael La Porta, Florencio
Lopez-de-Silanes and Andrei Shleifer, 2003, "The New Comparative Economic",.
Discussion Paper Number 2002, Harvard Institute of Economic Research,
Cambridge, Massachusetts
W. Easterly, R. Levine, 1997, "Africa's Growth Tragedy: Policies
and Ethnic Divisions", the quarterly Journal of Economics.
World Bank, 2002, Building Institutions for Markets:
World Development Report 2002. Oxford and London: Oxford University Press.
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World Economic Forum, 2002, the global competitiveness:
report 2001-2002, Oxford University Press, New York.
Annexes
Annexe 1 : Codes des pays (Banque Mondiale)
|
Pays
|
Code_pays
|
Pays
|
Code_pays
|
Pays
|
Code_pays
|
|
Angola
|
AGO
|
France
|
FRA
|
Mongolia
|
MNG
|
|
Albania
|
ALB
|
Micronesia Fed, Sts
|
FSM
|
Mozambique
|
MOZ
|
|
United Arab Emirates
|
ARE
|
United Kingdom
|
GBR
|
Mauritania
|
MRT
|
|
Argentina
|
ARG
|
Georgia
|
GEO
|
Malawi
|
MWI
|
|
Armenia
|
ARM
|
Ghana
|
GHA
|
Malaysia
|
MYS
|
|
Australia
|
AUS
|
Guinea
|
GIN
|
Namibia
|
NAM
|
|
Austria
|
AUSTRIA1 6
|
Greece
|
GRC
|
Niger
|
NER
|
|
Azerbaijan
|
AZE
|
Guatemala
|
GTM
|
Nigeria
|
NGA
|
|
Burundi
|
BDI
|
Hong Kong China
|
HKG
|
Nicaragua
|
NIC
|
|
Belgium
|
BEL
|
Honduras
|
HND
|
Netherlands
|
NLD
|
|
Benin
|
BEN
|
Croatia
|
HRV
|
Norway
|
NOR
|
|
Burkina Faso
|
BFA
|
Haiti
|
HTI
|
Nepal
|
NPL
|
|
Bangladesh
|
BGD
|
Hungary
|
HUN
|
New Zealand
|
NZL
|
|
Bulgaria
|
BGR
|
Indonesia
|
IDN
|
Oman
|
OMN
|
|
Bosnia and Herzegovina
|
BIH
|
India
|
IND
|
Pakistan
|
PAK
|
|
Belarus
|
BLR
|
Ireland
|
IRL
|
Panama
|
PAN
|
|
Bolivia
|
BOL
|
Iran Islamic Rep,
|
IRN
|
Peru
|
PER
|
|
Brazil
|
BRA
|
Israel
|
ISR
|
Philippines
|
PHL
|
|
Bhutan
|
BTN
|
Italy
|
ITA
|
Palau
|
PLW
|
|
Botswana
|
BWA
|
Jamaica
|
JAM
|
Papua New Guinea
|
PNG
|
|
Central African Republic
|
CAF
|
Jordan
|
JOR
|
Poland
|
POL
|
|
Canada
|
CAN
|
Japan
|
JPN
|
Puerto Rico
|
PRI
|
|
Switzerland
|
CHE
|
Kazakhstan
|
KAZ
|
Portugal
|
PRT
|
|
Chile
|
CHL
|
Kenya
|
KEN
|
Paraguay
|
PRY
|
|
China
|
CHN
|
Kyrgyz Republic
|
KGZ
|
Romania
|
ROM
|
|
Cote d'Ivoire
|
CIV
|
Cambodia
|
KHM
|
Russian Federation
|
RUS
|
|
Cameroon
|
CMR
|
Kiribati
|
KIR
|
Rwanda
|
RWA
|
|
Congo Rep,
|
COG
|
Korea Rep,
|
KOR
|
Saudi Arabia
|
SAU
|
|
Colombia
|
COL
|
Kuwait
|
KWT
|
Senegal
|
SEN
|
|
Costa Rica
|
CRI
|
Lao PDR
|
LAO
|
Singapore
|
SGP
|
|
Czech Republic
|
CZE
|
Lebanon
|
LBN
|
Solomon Islands
|
SLB
|
|
Germany
|
DEU
|
Sri Lanka
|
LKA
|
Sierra Leone
|
SLE
|
|
Denmark
|
DNK
|
Lesotho
|
LSO
|
El Salvador
|
SLV
|
|
Dominican Republic
|
DOM
|
Lithuania
|
LTU
|
Slovak Republic
|
SVK
|
|
Algeria
|
DZA
|
Latvia
|
LVA
|
Slovenia
|
SVN
|
|
Ecuador
|
ECU
|
Morocco
|
MAR
|
Sweden
|
SWE
|
|
Egypt Arab Rep,
|
EGY
|
Moldova
|
MDA
|
Syrian Arab Republic
|
SYR
|
|
Spain
|
ESP
|
Madagascar
|
MDG
|
Taiwan China
|
TAI
|
|
Estonia
|
EST
|
Mexico
|
MEX
|
Chad
|
TCD
|
|
Ethiopia
|
ETH
|
Marshall Islands
|
MHL
|
Togo
|
TGO
|
|
Finland
|
FIN
|
Macedonia FYR
|
MKD
|
Thailand
|
THA
|
|
Fiji
|
FJI
|
Mali
|
MLI
|
Tonga
|
TON
|
|
Turkey
|
TUR
|
Uzbekistan
|
UZB
|
Serbia and Montenegro
|
YUG
|
|
Tanzania
|
TZA
|
Venezuela
|
VEN
|
South Africa
|
ZAF
|
|
Uganda
|
UGA
|
Vietnam
|
VNM
|
Congo Dem, Rep,
|
ZAR
|
|
Ukraine
|
UKR
|
Vanuatu
|
VUT
|
Zambia
|
ZMB
|
|
Uruguay
|
URY
|
Samoa
|
WSM
|
Zimbabwe
|
ZWE
|
|
United States
|
USA
|
Yemen Rep,
|
YEM
|
|
|
1 6 Ce code ne correspond pas a celui de la Banque
Mondiale
|
Annexe 2-
IFEE
|
Test de correlation IFCE
|
IRMT
|
IFEB
|
IFAC
|
IPI
|
IFEC
|
IRF
|
GNI per
Capita
|
Informal
Economy
|
Taux_ou
99-02)
|
VA
service
|
VA ind
|
|
IFEE
|
1,000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
IFCE
|
,823(**)
|
1,000
|
|
|
|
|
|
|
|
|
|
|
|
|
IRMT
|
, 649(**)
|
,498(**)
|
1,000
|
|
|
|
|
|
|
|
|
|
|
|
IFEB
|
, 672(**)
|
,500(**)
|
,4 63(**)
|
1,000
|
|
|
|
|
|
|
|
|
|
|
IFAC
|
,721(**)
|
, 604(**)
|
,51 6(**)
|
,527(**)
|
1,000
|
|
|
|
|
|
|
|
|
|
IPI
|
,771(**)
|
,397(**)
|
,139
|
,400(**)
|
,52 6(**)
|
1,000
|
|
|
|
|
|
|
|
|
IFEC
|
,817(**)
|
,550(**)
|
,371(**)
|
,450(**)
|
,512(**)
|
,5 62(**)
|
1,000
|
|
|
|
|
|
|
|
IRF
|
,754(**)
|
,472(**)
|
,307(**)
|
,375(**)
|
,444(**)
|
,500(**)
|
, 654(**)
|
1,000
|
|
|
|
|
|
|
GNI per Capita
|
-,705(**)
|
-,55 2(**)
|
-,377(**)
|
-,557(**)
|
-,657(**)
|
-,577(**)
|
-,548(**)
|
-,551(**)
|
1,000
|
|
|
|
|
|
Informal Economy
|
,5 62(**)
|
,390(**)
|
,284(**)
|
,442(**)
|
,5 60(**)
|
,484(**)
|
,390(**)
|
,297(**)
|
-, 675(**)
|
1,000
|
|
|
|
|
Taux d'ouverture (99-02)
|
-,232(*)
|
-,194(*)
|
-,310(**)
|
-,154
|
-,291(**)
|
-,1 60
|
-,258(**)
|
-,15 6
|
,235(**)
|
-,1 66
|
1,000
|
|
|
|
VA service (99-03)
|
-,580(**)
|
-,473(**)
|
-,315(**)
|
-,391(**)
|
-,523(**)
|
-,3 69(**)
|
-,487(**)
|
-,429(**)
|
,789(**)
|
-,404(**)
|
,059
|
1,000
|
|
|
VA ind(99-03):
|
-,049
|
,027
|
-,128
|
,049
|
,117
|
-,025
|
,055
|
-,042
|
-,029
|
,054
|
,110
|
,019
|
1,000
|
** Correlation is significant at the 0.01 level (2-tailed).*
Correlation is significant at the 0.05 level (2-tailed).
Annexe 3- Regression sur le revenu des differents
indicateurs des aspects du cadre reglementaire Tableau 1: Variables
Entered/Removed (a)
|
Modele
|
Variables Entered
|
Method
|
|
1
|
IFAC
|
Forward (Criterion: Probability-of-F-to-enter <= ,050)
|
|
2
|
IRF
|
Forward (Criterion: Probability-of-F-to-enter <= ,050)
|
|
3
|
IFEB
|
Forward (Criterion: Probability-of-F-to-enter <= ,050)
|
|
4
|
IPI
|
Forward (Criterion: Probability-of-F-to-enter <= ,050)
|
a Dependent Variable: lrev
La premiere variable entree est celle qui est la plus correlee
a la variable dependante est forme le modele 1, le modele 2 est obtenu par
ajout de la variable qui a le plus grand coefficient de correlation partielle
avec la dependante, l'effet des autres variables etant retire...
Tableau 2 : choix des variables a partir du calcul des
coefficients de correlation partielle et des t-statistics
|
Model
|
|
Beta In
|
t
|
Sig.
|
Partial Correlation
|
|
1
|
IFCE
|
-,345(a)
|
-4,097
|
,000
|
-,371
|
|
IRMT
|
-,0 66(a)
|
-,778
|
,438
|
-,07 6
|
|
IFEB
|
-,317(a)
|
-3,987
|
,000
|
-,3 63
|
|
IPI
|
-,283(a)
|
-3,528
|
,001
|
-,32 6
|
|
IFEC
|
-,325(a)
|
-4,0 62
|
,000
|
-,3 68
|
|
IRF (choisi)
|
-,323(a)
|
-4, 224
|
,000
|
-,381
|
|
2
|
IFCE
|
-,244(b)
|
-2,755
|
,007
|
-,2 61
|
|
IRMT
|
,002(b)
|
,025
|
,980
|
,002
|
|
IFEB(choisi)
|
-, 268(b)
|
-3,5 29
|
,001
|
-,327
|
|
IPI
|
-,198(b)
|
-2,45 6
|
,01 6
|
-,234
|
|
IFEC
|
-,197(b)
|
-2,049
|
,043
|
-,197
|
|
3
|
IFCE
|
-,159(c)
|
-1,74 6
|
,084
|
-,170
|
|
IRMT
|
,085(c)
|
1,059
|
,292
|
,104
|
|
IPI (choisi)
|
-,170(c)
|
- 2,191
|
,031
|
-, 211
|
|
IFEC
|
-,143(c)
|
-1,527
|
,130
|
-,149
|
|
4
|
IFCE
|
-,117(d)
|
-1,254
|
,213
|
-,123
|
|
IRMT
|
,079(d)
|
1,009
|
,31 6
|
,099
|
|
IFEC
|
-,087(d)
|
-,88 6
|
,378
|
-,087
|
a Predictors in the Model: (Constant), IFAC
b Predictors in the Model: (Constant), IFAC, IRF
c Predictors in the Model: (Constant), IFAC, IRF, IFEB
d Predictors in the Model: (Constant), IFAC, IRF, IFEB, IPI
e Dependent Variable: lrev
Tableau 3 : Coefficients estimés (a)
|
Modele
|
|
Coefficients
|
t-statistics
|
Sig
|
|
1
|
(Constant)
|
10,370
|
35, 628
|
,000
|
|
IFAC
|
-,040
|
-9,324
|
,000
|
|
2
|
(Constant)
|
10,833
|
37,137
|
,000
|
|
IFAC
|
-,031
|
- 6,749
|
,000
|
|
IRF
|
-,01 6
|
-4,224
|
,000
|
|
3
|
(Constant)
|
11,292
|
3 6,899
|
,000
|
|
IFAC
|
-,024
|
-4,927
|
,000
|
|
IRF
|
-,014
|
-3,785
|
,000
|
|
IFEB
|
-,01 6
|
-3,529
|
,001
|
|
4
|
(Constant)
|
11, 292
|
37,568
|
,000
|
|
IFAC
|
-,020
|
-4,114
|
,000
|
|
IRF
|
-,011
|
-3,031
|
,003
|
|
IFEB
|
-,015
|
-3,331
|
,001
|
|
IPI
|
-,007
|
-2,191
|
,031
|
a Dependent Variable: lrev
|
|
