WOW !! MUCH LOVE ! SO WORLD PEACE !
Fond bitcoin pour l'amélioration du site: 1memzGeKS7CB3ECNkzSn2qHwxU6NZoJ8o
  Dogecoin (tips/pourboires): DCLoo9Dd4qECqpMLurdgGnaoqbftj16Nvp


Home | Publier un mémoire | Une page au hasard

 > 

Economic analysis of the effect of climate change on electricity demand in Togo: application of the ARDL model


par Dorcas Kafui AWLEGOU
Université de Lomé - Master 2018
  

précédent sommaire suivant

Bitcoin is a swarm of cyber hornets serving the goddess of wisdom, feeding on the fire of truth, exponentially growing ever smarter, faster, and stronger behind a wall of encrypted energy

Annexes

Tableau 1 : Statistiques descriptives des variables

 

Obs

Mean

 

Min

 
 

30

4.682362

.1788653

4.248375

 

Variable

30

27.82164

Std. Dev.

.6143059

26.57914

 
 

30

15.52447

.2366031

15.14373

 

lconsel

30

1173.405

121.3312

946.98

 

lpib

30

28.14062

1.162655

26.6279

 

lpoptot

precip

30

30.98859

6.715893

26.7819

 

tempss

30

7.878548

7.220002

1.0582

 
 

30

89.9

10.72011

83

 

xii

Tableau 2 : Estimation du modèle ARDL optimal

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

t

 
 
 

Sample: 1992 - 2019

 
 

Number of obs =

 
 

-.3697565

.3021838

-1.22

F( 17, 10) =

0.249 -1.043064

 

Log likelihood = 48.673284

-.1726231

-.0793512

.1737673

.0287426

-0.99

-2.76

Prob > F =

R-squared =

Adj R-squared =

Root MSE =

0.344 -.5598008

0.020 -.1433938

 
 

.0545479

.0337275

1.62

0.137 -.0206016

 

lconsel

lconsel

Coef.

-.1311944

.0185985

Std. Err.

.0440706

.0045882

-2.98

4.05

P>|t| [95% Conf.

0.014 -.2293898

0.002 .0083752

 

L1.

.0164146

.0066987

2.45

0.034 .0014889

 

L2.

.0334341

.0084989

3.93

0.003 .0144975

 
 

tempss

-.0001526

.0002217

-0.69

0.507 -.0006465

 

--.

L1.

L2.

-.6141055

29.87407

.2925987

15.38891

-2.10

1.94

0.062 -1.266056

0.081 -4.414555

 

tempsp

--.

L1.

L2.

-28.05072

-1.057576

14.70548

.6191787

-1.91

-1.71

0.086 -60.81657

0.118 -2.437192

 
 

1.667693

.6379061

2.61

0.026 .2463497

 

precip

lpib

lpoptot

-2.123449

-.0203474

.7342652

.0053405

-2.89

-3.81

0.016 -3.759494

0.003 -.0322467

 

--.

-.0075805

.0051595

-1.47

0.173 -.0190765

 

L1.

4.681863

3.934385

1.19

0.262 -4.084492

 

xiii

Tableau 3 : Test de cointegration

Sample: 1992

48.673283

Number of obs

R-squared

Adj R-squared

Root MSE

 
 

D.lconsel

 
 

t

P>|t|

 
 

ADJ

lconsel

- 2019

-1.54238

.3193274

-4.83

0.001

=

=

=

-2.253885

 

Log likelihood =

L1.

LR

tempss tempsp precip lpib lpoptot prixel emissco

Coef.

-.101141 .0443777 -.0000989 -.3981546 1.18217 -.0104344 -.018107

Std. Err.

.0299882

.0092199

.000132 .1549709 .3859393 .0035916 .0047255

-3.37

4.81

-0.75

-2.57

3.06

-2.91

-3.83

0.007 0.001 0.471 0.028 0.012 0.016 0.003

=

[95% Conf.

-.167959

.0238344

-.0003931

-.7434514

.3222434

-.018437

-.0286361

Interval]

-.8308738

SR

lconsel

LD.

tempss

D1.

LD.

tempsp

D1.

LD.

lpoptot

D1.

prixel

emissco

_cons

.1726231

.0766466

.1311945

-.0498487

-.0334341

28.05072

.0048468

.0225823

.0075805

-.6695165

.1737673

.0559746

.0440706

.0142448

.0084989

14.70548

.0073721

.0078087

.0051595

3.780649

0.99

1.37

2.98

-3.50

-3.93

1.91

0.66

2.89

1.47

-0.18

0.344

0.201

0.014

0.006

0.003

0.086

0.526

0.016

0.173

0.863

-.2145546

-.0480726

.0329991

-.0815882

-.0523708

-4.715132

-.0115792

.0051834

-.0039155

-9.093328

-.034323 .0649209 .0001953 -.0528578 2.042096 -.0024319 -.0075779

.5598008

.2013657

.2293898

Tableau 4 : Intervalle de comparaison du Fisher calculé

Pesaran/Shin/Smith (2001) ARDL Bounds Test

H0: no levels relationship F = 4.803

t = -4.830

Critical Values (0.1-0.01), F-statistic, Case 3

[I_0] [I_1]

[I_0] [I_1]

[I_0] [I_1]

L_025 L_025

[I_0] [I_1]

L_01 L_01

k_7

2.96 4.26

accept if F < critical value for I(0) regressors reject if F > critical value for I(1) regressors

L_1 L_1

L_05 L_05

Critical Values (0.1-0.01), t-statistic, Case 3

2.03 3.13

[I_0] [I_1]

2.32 3.50

[I_0] [I_1]

2.60 3.84

[I_0] [I_1]

[I_0] [I_1]

L_01 L_01

k_7

-2.57 -4.23

-2.86 -4.57

-3.13 -4.85

-3.43 -5.19

xiv

accept if t > critical value for I(0) regressors reject if t < critical value for I(1) regressors

L_1 L_1

L_05 L_05

L_025 L_025

k: # of non-deterministic regressors in long-run relationship

Critical values from Pesaran/Shin/Smith (2001)

xv

Tableau 5 : Estimation de relation de court terme et long terme

Sample: 1992

- 2019

48.673283

Number of obs

R-squared

Adj R-squared

Root MSE

=

 

Log likelihood =

D.lconsel

 
 

t

P>|t|

=

=

 

ADJ

lconsel

Coef.

Std. Err.

 
 

[95% Conf.

Interval]

 

-1.54238

.3193274

-4.83

0.001

-2.253885

 

L1.

LR

tempss

-.101141

.0299882

-3.37

0.007

-.167959

-.8308738

tempsp

.0443777

.0092199

4.81

0.001

.0238344

 

precip

-.0000989

.000132

-0.75

0.471

-.0003931

 

lpib

-.3981546

.1549709

-2.57

0.028

-.7434514

-.034323

lpoptot

1.18217

.3859393

3.06

0.012

.3222434

.0649209

lprixel

-.9811669

.337722

-2.91

0.016

-1.733658

.0001953

emissco

-.018107

.0047255

-3.83

0.003

-.0286361

-.0528578

SR

lconsel

 
 
 
 
 

2.042096

-.2286754

-.0075779

tempss

.1726231

.1737673

0.99

0.344

-.2145546

 

LD.

.0766466

.0559746

1.37

0.201

-.0480726

.5598008

D1.

tempsp

.1311945

.0440706

2.98

0.014

.0329991

.2013657

LD.

-.0498487

.0142448

-3.50

0.006

-.0815882

.2293898

D1.

lpoptot

-.0334341

.0084989

-3.93

0.003

-.0523708

-.0181093

LD.

lprixel

28.05072

14.70548

1.91

0.086

-4.715132

-.0144975

D1.

.4557561

.6932104

0.66

0.526

-1.088813

60.81657

D1.

emissco

2.123449

.7342652

2.89

0.016

.4874043

2.000325

LD.

.0075805

.0051595

1.47

0.173

-.0039155

 

_cons

4.681863

3.934385

1.19

0.262

-4.084492

 

xvi

Figure : Etat de stabilité du modèle

xvii

Table des matières

DEDICACE II

REMERCIEMENTS III

LISTES DES ABREVIATIONS V

LISTE DES FIGURES VI

LISTE DES GRAPHIQUES VI

LISTE DES TABLEAUX VII

SOMMAIRE VIII

INTRODUCTION GENERALE 1

précédent sommaire suivant






Bitcoin is a swarm of cyber hornets serving the goddess of wisdom, feeding on the fire of truth, exponentially growing ever smarter, faster, and stronger behind a wall of encrypted energy








"Il y a des temps ou l'on doit dispenser son mépris qu'avec économie à cause du grand nombre de nécessiteux"   Chateaubriand