Annexe VI.- Estimation du modèle à effets
fixes individuels
Estimation Command:
LS(CX=F) LPIBH LTE LPTOT LPACT LFBCF C
Estimation Equation:
LPIBH = C(1)*LTE + C(2)*LPTOT + C(3)*LPACT + C(4)*LFBCF
+ C(5) + [CX=F]
Substituted Coefficients:
LPIBH = 0.0428290898937*LTE - 3.15283459068*LPTOT +
2.64805652019*LPACT + 0.166389014792*LFBCF + 12.106285103 +
[CX=F]
|
1
|
0.576834
|
2
|
-0.296784
|
3
|
0.068102
|
4
|
0.416894
|
5
|
-0.153504
|
6
|
0.341629
|
7
|
-0.542311
|
8
|
-0.200134
|
9
|
0.168884
|
10
|
-0.047257
|
11
|
-0.358612
|
12
|
-0.810768
|
Impact de Ça croissance démographique sur
Ça croissance économique clans Ces pays en voie de
développement de 1980 à
2008.
Annexe VII.- Base de données
Annexe VII. 1.- Cas du Bangladesh
Période
|
Pays
|
PIBH
(exprimé en $)
|
Taux
d'épargne (exprimé en %)
|
Population totale
|
Population active
|
FBCF
(exprimée en $)
|
1980
|
Bangladesh
|
230.14
|
2.05
|
88,854,900
|
48,132,699
|
2,615,640,000
|
1981
|
Bangladesh
|
233.12
|
8.39
|
91,054,000
|
49,524,271
|
3,482,520,000
|
1982
|
Bangladesh
|
232.81
|
7.09
|
93,341,200
|
50,954,961
|
3,223,050,000
|
1983
|
Bangladesh
|
236.19
|
7.64
|
95,699,300
|
52,424,077
|
2,911,640,000
|
1984
|
Bangladesh
|
242.34
|
6.24
|
98,102,700
|
53,927,054
|
3,131,490,000
|
1985
|
Bangladesh
|
244.11
|
8.64
|
100,532,000
|
55,463,504
|
3,526,880,000
|
1986
|
Bangladesh
|
248.43
|
9.83
|
102,980,000
|
57,030,324
|
3,534,050,000
|
1987
|
Bangladesh
|
251.67
|
9.07
|
105,449,000
|
58,629,644
|
3,808,890,000
|
1988
|
Bangladesh
|
251.16
|
9.24
|
107,946,000
|
60,266,252
|
4,182,470,000
|
1989
|
Bangladesh
|
251.81
|
9.21
|
110,477,000
|
61,911,311
|
4,486,140,000
|
1990
|
Bangladesh
|
260.71
|
9.65
|
113,049,000
|
63,590,063
|
5,138,200,000
|
1991
|
Bangladesh
|
263.32
|
11.33
|
115,662,000
|
65,268,067
|
5,230,560,000
|
1992
|
Bangladesh
|
270.4
|
12.54
|
118,312,000
|
66,976,423
|
5,487,230,000
|
1993
|
Bangladesh
|
276.53
|
12.86
|
120,980,000
|
68,716,640
|
5,952,340,000
|
1994
|
Bangladesh
|
281.62
|
13.54
|
123,646,000
|
70,527,678
|
6,214,300,000
|
1995
|
Bangladesh
|
289.29
|
12.64
|
126,297,000
|
72,418,700
|
7,254,000,000
|
1996
|
Bangladesh
|
296.5
|
12.38
|
128,921,000
|
74,400,309
|
8,130,450,000
|
1997
|
Bangladesh
|
306.29
|
14.7
|
131,524,000
|
76,468,054
|
8,769,670,000
|
1998
|
Bangladesh
|
316.05
|
16.68
|
134,127,000
|
78,585,009
|
9,538,110,000
|
1999
|
Bangladesh
|
325.06
|
16.73
|
136,757,000
|
80,755,009
|
10,140,900,000
|
2000
|
Bangladesh
|
337.77
|
17.78
|
139,434,000
|
82,921,400
|
10,843,600,000
|
2001
|
Bangladesh
|
348.75
|
16.97
|
142,167,000
|
85,101,166
|
10,840,100,000
|
2002
|
Bangladesh
|
357.17
|
18.38
|
144,943,000
|
87,284,675
|
10,998,100,000
|
2003
|
Bangladesh
|
368.83
|
17.58
|
147,741,000
|
89,486,724
|
12,129,600,000
|
2004
|
Bangladesh
|
384.7
|
18.67
|
150,528,000
|
91,701,658
|
13,615,400,000
|
2005
|
Bangladesh
|
400.29
|
18.06
|
153,281,000
|
93,945,925
|
14,724,600,000
|
2006
|
Bangladesh
|
419.41
|
18.38
|
155,991,000
|
96,199,650
|
15,258,100,000
|
2007
|
Bangladesh
|
436.2
|
18.1
|
158,729,675
|
98,412,399
|
16,175,399,595
|
2008
|
Bangladesh
|
453.5
|
17.9
|
161,461,179
|
100,751,776
|
16,996,749,483
|
81
'Université Quisqueya
Impact de Ça croissance démographique sur
Ça croissance économique clans Ces pays en voie de
développement de 1980 à 2008.
Annexe VII. 2.- Cas du Népal
Période
|
Pays
|
(exprimé en $)
|
Taux
d'épargne (exprimé en %)
|
PIBHPopulation
Population totale
|
active
|
FBCF
(exprimée en $)
|
1980
|
Népal
|
140.08
|
11.1
|
15,158,800
|
8,335,824
|
306,750,000
|
1981
|
Népal
|
148.35
|
10.89
|
15,508,500
|
8,523,472
|
358,250,000
|
1982
|
Népal
|
150.46
|
9.93
|
15,868,100
|
8,714,761
|
422,454,000
|
1983
|
Népal
|
142.66
|
8.55
|
16,237,300
|
8,911,030
|
476,677,000
|
1984
|
Népal
|
152.91
|
9.87
|
16,615,600
|
9,111,995
|
452,614,000
|
1985
|
Népal
|
158.61
|
14.09
|
17,003,000
|
9,319,344
|
546,073,000
|
1986
|
Népal
|
162.08
|
11.62
|
17,398,700
|
9,532,748
|
517,933,000
|
1987
|
Népal
|
161.08
|
12.1
|
17,803,600
|
9,752,812
|
576,920,000
|
1988
|
Népal
|
169.16
|
11.36
|
18,221,500
|
9,979,916
|
694,672,000
|
1989
|
Népal
|
172.46
|
10.29
|
18, 657, 300
|
10, 216, 737
|
638, 789, 000
|
1990
|
Népal
|
175.87
|
6.99
|
19,114,200
|
10,465,025
|
584,775,000
|
1991
|
Népal
|
182.96
|
8.56
|
19,593,100
|
10,721,344
|
721,571,000
|
1992
|
Népal
|
186.16
|
10.93
|
20,091,900
|
10,990,269
|
652,049,000
|
1993
|
Népal
|
187.85
|
12.25
|
20,607,600
|
11,270,296
|
776,625,000
|
1994
|
Népal
|
198.84
|
9.96
|
21,135,500
|
11,563,232
|
857,796,000
|
1995
|
Népal
|
200.33
|
15.66
|
21,671,700
|
11,867,423
|
971,285,000
|
1996
|
Népal
|
205.85
|
14.38
|
22,215,600
|
12,185,257
|
1,018,730,000
|
1997
|
Népal
|
211.44
|
13.96
|
22,766,600
|
12,517,077
|
1,066,000,000
|
1998
|
Népal
|
212.49
|
13.77
|
23,320,600
|
12,858,979
|
1,055,290,000
|
1999
|
Népal
|
216.91
|
13.61
|
23,872,700
|
13,213,539
|
960,545,000
|
2000
|
Népal
|
225
|
15.17
|
24,419,300
|
13,574,689
|
1,061,590,000
|
2001
|
Népal
|
232.53
|
11.66
|
24, 958, 500
|
13, 946, 810
|
1,153, 070, 000
|
2002
|
Népal
|
227.94
|
9.49
|
25,491,200
|
14,326,054
|
1,183,840,000
|
2003
|
Népal
|
232.11
|
8.56
|
26,021,100
|
14,717,534
|
1,261,290,000
|
2004
|
Népal
|
238.1
|
11.75
|
26,553,900
|
15,122,446
|
1,479,610,000
|
2005
|
Népal
|
240.65
|
11.56
|
27, 093, 700
|
15, 546, 365
|
1, 631, 230, 000
|
2006
|
Népal
|
242.48
|
7.91
|
27, 641, 400
|
15, 987, 786
|
1, 871, 770, 000
|
2007
|
Népal
|
244.8
|
6.6
|
28,183,833
|
16,431,175
|
2,053,029,973
|
2008
|
Népal
|
247
|
4.6
|
28,727,583
|
16,863,091
|
2,249,109,973
|
82
'Université Quisqueya
Impact de Ça croissance démographique sur
Ça croissance économique clans Ces pays en voie de
développement de 1980 à 2008.
Annexe VII. 3.- Cas de la République
Démocratique du Congo
Période
|
Pays
|
PIBH
(exprimé en $)
|
Taux
d'épargne (exprimé en %)
|
Population totale
|
Population active
|
FBCF
(exprimée en $)
|
1980
|
RDC
|
249.93
|
10.08
|
28,071,000
|
14,302,175
|
1,269,270,000
|
1981
|
RDC
|
248.37
|
7.5
|
28,911,000
|
14,701,244
|
1,207,990,000
|
1982
|
RDC
|
240.22
|
6.52
|
29,756,100
|
15,101,221
|
1,270,880,000
|
1983
|
RDC
|
236.76
|
8.27
|
30,616,900
|
15,510,522
|
1,109,690,000
|
1984
|
RDC
|
242.81
|
10.39
|
31,508,400
|
15,936,949
|
832,557,000
|
1985
|
RDC
|
236.91
|
14.38
|
32,443,200
|
16,390,305
|
802,431,000
|
1986
|
RDC
|
240.88
|
13.88
|
33,414,500
|
16,864,298
|
1,037,750,000
|
1987
|
RDC
|
240.08
|
11.28
|
34,422,200
|
17,362,558
|
1,063,710,000
|
1988
|
RDC
|
233.94
|
12.11
|
35,492,600
|
17,895,369
|
1,299,730,000
|
1989
|
RDC
|
223.62
|
14.95
|
36,659,600
|
18,476,438
|
1,200,690,000
|
1990
|
RDC
|
201.87
|
9.35
|
37,942,000
|
19,111,385
|
1,200,960,000
|
1991
|
RDC
|
178.19
|
1.83
|
39,364,100
|
19,815,888
|
553,970,000
|
1992
|
RDC
|
153.48
|
6.05
|
40,905,100
|
20,579,356
|
583,275,000
|
1993
|
RDC
|
127.87
|
3.98
|
42,483,200
|
21,360,553
|
241,001,000
|
1994
|
RDC
|
118.68
|
10.63
|
43,986,400
|
22,107,565
|
439,126,000
|
1995
|
RDC
|
115.95
|
14.13
|
45,339,300
|
22,787,532
|
544,795,000
|
1996
|
RDC
|
111.88
|
27.54
|
46,508,600
|
23,379,873
|
1,563,820,000
|
1997
|
RDC
|
103.32
|
6.25
|
47,532,400
|
23,908,797
|
152,271,000
|
1998
|
RDC
|
99.62
|
-1
|
48,494,600
|
24,407,332
|
130,574,000
|
1999
|
RDC
|
93.4
|
9.07
|
49,516,900
|
24,931,759
|
145,455,000
|
2000
|
RDC
|
84.95
|
4.46
|
50,688,700
|
25,526,829
|
148,710,000
|
2001
|
RDC
|
81.01
|
3.17
|
52,036,000
|
26,205,330
|
244,190,000
|
2002
|
RDC
|
81.47
|
4.05
|
53,536,800
|
26,950,425
|
496,841,000
|
2003
|
RDC
|
83.63
|
5.02
|
55,170,000
|
27,761,544
|
693,924,000
|
2004
|
RDC
|
86.45
|
3.97
|
56,918,000
|
28,612,679
|
840,219,000
|
2005
|
RDC
|
89.18
|
6.5
|
58,740,500
|
29,499,479
|
1,020,372,672
|
2006
|
RDC
|
90.77
|
4.66
|
60,643,900
|
30,406,851
|
1,192,061,680
|
2007
|
RDC
|
93.1
|
5.7
|
62,493,367
|
31,309,177
|
1,363,750,688
|
2008
|
RDC
|
95.3
|
6.1
|
64,356,317
|
32,178,159
|
|
83
'Université Quisqueya
'Université Quisqueya
84
Impact de Ça croissance démographique sur
Ça croissance économique clans Ces pays en voie de
développement de 1980 à 2008.
|
|