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أثر الاستثمار الأجنبي المباشر على النمو الاقتصادي - دراسة حالة قياسية الجزائر 1990 – 2015

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(12)   3 2 3 :07 &8. Résume: L'investissement étranger est l'un des outils les plus importants pour le développement économique en général, mais son importance Alger a tenu à attirer de nombreux investissements en réexaminer et mettre à jour le système d'investissements étrangers pour développer ses dispositions et politiques visant à répondre aux changements dans l'arène mondiale Cette recherche vise à connaître les actions et les mesures prises par le gouvernement afin de créer les bonnes conditions pour encourager les investissements étrangers et promus et développés, ainsi que l'appréciation de la performance de l'investissement direct étranger en Algérie et dans la mesure de sa contribution au produit intérieur brut (PIB) en général, et à la lumière des données disponibles au cours de la période (1990-2015) cela se fait en utilisant et en appliquant les tests utilisés dans le discours économétrique Mots-clés: Cointégration, croissance économique, investissements directs étrangers, VECM.. :9 09 I$ I 9  5

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(235)  9  . / ! : (02) D % [19031] 

(236) . 2016   156 142 77 118 162 175 173 155 178 102 74. [19031] 

(237) . 2015   163 145 119 130 161 174 174 170 178 100 71. [18931] 

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(242) . [731] [14031] 3.8 116 3.4 95 3.4 101 2.7 65 3.2 105 3.0 111 3.0 123. 201532014 9 . 

(243) . [731] [14431] 3.9 115 3.5 86 3.6 102 2,7 65 3,1 107 2,8 117 3 128. - 140 -. &  . & F.  8 %9  

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(249)   . -World economic forum, The global competitiveness Report 2014-2015, p 107. : ‫المصدر‬. -World economic forum, The global competitiveness Report 2015-2016, p 95 -World economic forum, The global competitiveness Report 2016-2017, p 97 (201632014) $7 %<" ' J

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(260) 

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(267) . 68,03%. 1 681 400. 57,10%. 386.  . 2017 

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(440) ‚  C. 20. 2017/03/04 U>3 b http://aljazairalyoum.com. :0<. (03) D :0. Vector Error Correction Es tim ates Date: 04/06/17 Tim e: 16:09 Sample (adjus ted): 4 26 Included observations : 23 after adjus tments Standard errors in ( ) & t-s tatistics in [ ] Cointegrating Eq:. CointEq1. PIB(-1). 1.000000. K(-1). -1.412712 (0.20137) [-7.01552]. L(-1). -0.822240 (0.24250) [-3.39062]. IDE(-1). -1.880517 (0.30206) [-6.22559]. C. 4855.908. Error Correction:. D(PIB). D(K). D(L). D(IDE). CointEq1. -0.797624 (0.12306) [-6.48139]. -0.053847 (0.05051) [-1.06608]. 0.161155 (0.09259) [ 1.74051]. 0.102212 (0.19266) [ 0.53052]. D(PIB(-1)). 0.137523 (0.15193) [ 0.90518]. 0.132434 (0.06236) [ 2.12380]. -0.025509 (0.11431) [-0.22316]. 0.068897 (0.23785) [ 0.28966]. D(PIB(-2)). 0.332783 (0.16577) [ 2.00747]. 0.087071 (0.06804) [ 1.27973]. 0.090956 (0.12472) [ 0.72926]. -0.081403 (0.25953) [-0.31366]. D(K(-1)). -1.173608 (0.68412) [-1.71549]. 0.479082 (0.28079) [ 1.70620]. 0.300810 (0.51472) [ 0.58441]. 0.703855 (1.07103) [ 0.65717]. D(K(-2)). -3.217554 (0.77818) [-4.13473]. -0.193334 (0.31939) [-0.60532]. 0.857150 (0.58549) [ 1.46400]. -0.795082 (1.21828) [-0.65263]. D(L(-1)). 0.291786 (0.30292) [ 0.96323]. -0.034666 (0.12433) [-0.27882]. -0.563852 (0.22791) [-2.47397]. -0.290135 (0.47424) [-0.61179]. D(L(-2)). 0.999817 (0.30943). 0.014563 (0.12700). 0.041819 (0.23281). -0.055749 (0.48444). 2017 

(441)  :(

(442)  '. (01) D :0. VAR Lag Order Selection Criteria Endogenous variables: PIB K L IDE Exogenous variables: C Date: 04/06/17 Time: 14:44 Sample: 1 26 Included observations: 23 Lag. LogL. LR. FPE. AIC. SC. HQ. 0 1 2 3. -1258.818 -1249.211 -1243.501 -1093.295. NA 15.03830 6.950959 130.6137*. 5.76e+42 1.03e+43 2.93e+43 3.83e+38*. 109.8103 110.3661 111.2609 99.59087*. 110.0078 111.3535 113.0382 102.1581*. 109.8600 110.6145 111.7079 100.2365*. (02) D :0. Date: 04/06/17 Time: 14:08 Sample (adjusted): 3 26 Included observations: 24 after adjustments Trend assumption: Linear deterministic trend Series: IDE K L PIB Lags interval (in first differences): 1 to 1 Unrestricted Cointegration Rank Test (Trace). - 148 -. Hypothesized No. of CE(s). Eigenvalue. Trace Statistic. 0.05 Critical Value. Prob.**. None * At most 1 At most 2 At most 3 *. 0.574570 0.536422 0.220641 0.190900. 50.02926 29.51752 11.06678 5.083987. 47.85613 29.79707 15.49471 3.841466. 0.0308 0.0538 0.2074 0.0241. $  % &.

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(445)   . (04) D :0. VEC Res idual Serial Correlation LM Te... Null Hypothes is : no s erial correlation at... Date: 04/06/17 Tim e: 15:12 Sam ple: 1 26 Included obs ervations : 23 Lags. LM-Stat. Prob. 1 2 3 4 5 6 7 8 9 10 11 12. 22.64367 16.88215 19.14460 12.75033 22.14433 13.71481 14.65278 14.69820 28.65371 16.35528 19.65918 4.655042. 0.1236 0.3933 0.2612 0.6909 0.1386 0.6200 0.5502 0.5468 0.0264 0.4285 0.2360 0.9972. Probs from chi-s quare with 16 df.. (06) D :0. Inverse Roots of AR Characteristic Polynomial 1.5. (05) D :0. VEC Res idual Heteros kedas ticity Tes ts : No Cros s Term s (only levels and s quares ) Date: 04/06/17 Tim e: 15:16 Sam ple: 1 26 Included obs ervations : 23. Joint tes t:. 1.0. 0.5. Chi-s q. df. Prob.. 189.6061. 180. 0.2972. Individual com ponents :. 0.0. -0.5. -1.0. -1.5 -1.5. -1.0. -0.5. 0.0. 0.5. 1.0. 1.5. Dependent. R-s quared. F(18,4). Prob.. Chi-s q(18). Prob.. res 1*res 1 res 2*res 2 res 3*res 3 res 4*res 4 res 2*res 1 res 3*res 1 res 3*res 2 res 4*res 1 res 4*res 2 res 4*res 3. 0.459147 0.271140 0.947983 0.984369 0.840830 0.695358 0.753861 0.423819 0.422887 0.884215. 0.188651 0.082668 4.049877 13.99489 1.173908 0.507231 0.680610 0.163459 0.162836 1.697051. 0.9947 0.9999 0.0922 0.0101 0.4890 0.8578 0.7472 0.9973 0.9973 0.3253. 10.56037 6.236225 21.80361 22.64050 19.33909 15.99323 17.33881 9.747845 9.726394 20.33696. 0.9121 0.9951 0.2408 0.2048 0.3712 0.5930 0.4999 0.9398 0.9405 0.3142. (08) D :0 Pairwis e Granger Caus ality Tes ts Date: 04/01/17 Tim e: 04:29 Sam ple: 1 26 Lags : 2 Null Hypothes is :. (07) D :0. Wald Tes t: Sys tem : {%s ys tem } Prob.. Tes t Statis tic. Obs. F-Statis tic. IDE does not Granger Caus e PIB PIB does not Granger Caus e IDE. 24. 7.07519 3.22126. 0.0051 Chi-s quare 0.0624. L does not Granger Caus e PIB PIB does not Granger Caus e L. 24. 3.37976 1.78118. 0.0555 0.1954 Null. K does not Granger Caus e PIB PIB does not Granger Caus e K. 24. 0.77579 8.88317. 0.4744 Null 0.0019. L does not Granger Caus e IDE IDE does not Granger Caus e L. 24. 1.45904 1.37961. 0.2574 0.2758. df. Probability. 20.50660. 3. 0.0001. Hypothes is : C(5)=C(6)=C(7)=0 Hypothes is Sum m ary:. Norm alized Res triction (= 0). K does not Granger Caus e IDE IDE does not Granger Caus e K. 24. 7.61195 1.73075. C(5) 0.0037 0.2039 C(6) C(7). K does not Granger Caus e L L does not Granger Caus e K. 24. 1.50968 2.74802. 0.2463 0.0895. 2017 

(446)  :(

(447)  '. Value. Value. Std. Err.. -3.217554 0.291786 0.999817. 0.778177 0.302924 0.309434. Res trictions are linear in coefficients .. - 149 -. $  % &.

(448)

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