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قياس مساهمة الزكاة في التنمية الاقتصادية « دراسة حالة قطر للفترة 1995-2014

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(504) V36D  5 w<X mp3

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(507) Ð Ò

(508) "# w<67 _`   ;< ,ARDL eW w<X oo v ;< b

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(510) 2345 "673 8Stationary Test Y

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(521) 2345 Y

(522) 

(523) "V )“b é

(524) b , Ò

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(526) bEW #0Ex mp3 9: ; ,( v 9›™30 Variance 0

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(535) 373. 8Nelson and PlosserÛ 1982 Augmented W E −Uz01 

(536) V3  !VF Y

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(539) #W

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(541) V3 63b0 8 Dickey Fuller−ADF 6"#   W T "c

(542) 2P 6"# 

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(546) - 8OLS 01

(547) "35 +E™2 Y

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(553) 2018 

(554) 02  

(555) 15 . 322. ISSN: 1112-4938, EISSN: 2600-6456. ‰ ./

(556) 7 D D  r2 U3  03 8&E#3  ݂ "7( D D  9z D

(557) z3 Y

(558) 

(559) "V 9- U7b0 A YE#3 <: O hEC - b 

(560) V35 "b

(561) 7: ,E#35 8Y

(562) V35  d 1 œ3P z I1 .O   w<67 % p3 W Y

(563) 

(564) "VD ADF 

(565) V3 ]c

(566) 3 :2 )4  E#35 1. E– 6"# %5.  W 6"#. ›™3W. I(1) I(1) I(1) I(1) I(1) I(1) I(0). 1.9823441.9823441.9881981.9881981.9958651.9823441.977738-. 3.5707456.4033003.8013642.930760 2.1866722.3679133.074959. GDPPC HCE HDI EXPEN FETER SADAK ZAKAT. EVIEWS 9 Uc

(567) 2P ]

(568) v Y

(569) Eƒ = 1X3 ZsP

(570) V 1/  :2W. &E#3  z ï Y›™3W "Š 9- ZV0 , - f % ZVW 7 = ]c

(571) 37 ä

(572) ' 8%5 51 +3  7 , O hEC 7 &E#3  ä

(573) ' r +3 W 7 VARDLíérãßÚÝ]‚~j‰^e†è‚ÏjÖ]hç׉_ J2 w<X

(574) A" ]1 ,dBtW r

(575) z3D ARDL "‹A7 Pesaran et al8 2001 ‰ Distributed  eW ˜

(576) F YB w<X Autoregressive Models  5. Y›™3W )"4 ,

(577) A6"4 ˜

(578) F/ % 1 "7( D D  9z "‹A7W  % ,Lag Models 8Es'- - &P &BC

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(580) F/ "

(581) – 0› C3  "F3  </ ,Autoregressive Distributed Lag −ARDL "‹A7  mp3  Z0W % D#3 W Y›™3W  

(582) 3 ›™36D "D

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(584) ‰

(585)  ,Short run and Long run r0F ›2# 6Æ 9- "

(586) z: ARDL "‹A7 e

(587) 3å •"P ,PeseranÛ 2001 

(588) 3 ›™3W = D#3 W &E#3 

(589) — b"Š 9z 9- ËBt0 5 ,I1  I0 rs E#35  +3   Es'- Y< Y›™3 +W ›2# +W  r' % w<67 E0# = r6b ARDL "‹A7 9/ 8I0 +3 W 7 9

(590) º

(591) 3

(592)  Autocorrelation  Ë

(593) V5

(594)  #Db3W r'

(595) tW e/ = r6b X' ,r0F 8&("3 ݂ &TC' ]c

(596) 3 b ARDL w<6 E0#  r2$ U3 ]c

(597) 37. U(ƒ UCF 81 ,, V V# 81 ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ 888801

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(602) 2018 

(603) 02  

(604) 15 . 323. ISSN: 1112-4938, EISSN: 2600-6456.  VDGDPpcEÄe^jÖ]BÇj¹]VÙæù]tƒçÛßÖ]182 ñ- 1 m w<67 ` +  _tzD 0» "

(605) "# Y

(606) V35 ]c

(607) 3 YEAð9- 2 )4 f  ZV30 8Y

(608) V35 ]c

(609) 3 % ("$ - 41 =

(610) — VD EoT 4 "

(611) "4 r'

(612) t < Ë

(613) V 1 = 1- ñ- EA“ )D 8Ó

(614) ‹7 [3`  !#3 Y

(615) V3 "Š e

(616) 3 w<67 ‚ RESET 

(617) V3 EA“0 ï X' ,Correlation Residual Serial "ctb ˜

(618) Fá 

(619) ‰

(620)  ,Misspecification w<67 "Dz" % rD 1 = 1- ñ- RamsyÛ 1969 q

(621) Æ & rzt Að m Uctb ¥FpD Ub"VF 0e3

(622)  !Db3 r'

(623) t Að m ./ 8Heteroscedasticity Y

(624) 70

(625) V3 GDPpc 

(626) 3 ›™3W ARDL "‹A7 mp3

(627)  w<67 E0# ]c

(628) 3 :3 )4  ARDL (1,2,1,2,2) selected based on Schwarz Bayesian Criterion Variable. coefficient. GDPPC(-1) EXPEN EXPEN(-1) EXPEN(-2) ZAKAT ZAKAT(-1) SADAK SADAK(-1) SADAK(-2) FETER FETER(-1) FETER(-2) INPT R-squared D.W F-stat.. 1.4404 -0.87962 1.0378 -1.8026 -0.12014 0.41050 15.2135 -12.5497 21.1865 -18.1343 16.2586 -33.2836 442.4708 0.99290 1.8759 58.2454[.000] Diagnostic Tests:. Std. Error. t-ratio. Probability. 0.3976 0.34825 0.29918 0.55220 0.32208 0.25537 5.6246 3.4492 6.7473 13.6799 10.5166 20.3822 5548.2. 3.6227 -2.5258 3.4689 -3.2644 -0.37301 1.6074 2.7048 -3.6385 3.1400 -1.3256 1.5460 -1.6330 0.079750. [0.015] [0.053] [0.018] [0.022] [0.724] [0.169] [0.043] [0.015] [0.026] [0.242] [0.183] [0.163] [0.940]. Probability. Serial Correlation. < Ë

(629) V 0 5. 0.025601. [0.881]. RESET. ˜ é

(630) b0 5 w<67. 1.6634. [0.267]. Normality. Ub"Vx 0e ¡e3 U4V. 0.26676. [0.875]. Heteroscedasticity. 0

(631) V3 Y

(632) Vo. 0.47878. [0.499]. MICROFIT 481 Uc

(633) 2P5 ]

(634) v Y

(635) Eƒ = 1X3 ZsP

(636) V 1/  :2W. @ @@@@@@@@NNNNNNNNNNNNNNNNNNNNNNNNNNNNNN@@@@‹öa§a@@ð†aìÛa@òÈßbu https://www.asjp.cerist.dz/en/PresentationRevue/202.

(637) 2018 

(638) 02  

(639) 15  ISSN: 1112-4938, EISSN: 2600-6456. 324. GDPpc 

(640) 3 ›™3W ARDL "‹A7 mp3

(641)  &#W rO D0x Y

(642) bW :4  ARDL (1,2,1,2,2) selected based on Schwarz Bayesian Criterion Variable coefficient Std. Error t-ratio Probability EXPEN 3.7338 1.9832 1.8827 [0.118] ZAKAT -0.65933 1.0587 -0.62277 [0.561] SADAK -54.1566 32.3877 -1.6721 [0.155] FETER 79.8360 24.9268 3.2028 [0.024] INPT -1004.7 12317.8 -.081566 [0.938] MICROFIT 481 Uc

(643) 2P5 ]

(644) v Y

(645) Eƒ = 1X3 ZsP

(646) V 1/  :2W. &

(647) '(‚ ^ ,7b ›N¥ 1 ./ 4 )4 f % &1 r0F rO % ]c

(648) 37 ›t 8,7b ›N¥

(649)  z0 ï Y›™3W U4

(650)  X7" \W ]

(651) 7  1EC ^"2 = FETER EFC ,1T0*  ,DV 9

(652) z r' = £EC* r ,u

(653) 27

(654)  VE 5 &›ba EFC &

(655) 'e 9- ›a¥3 Å ˜E#C 

(656) A#3 0 W )“7 rzt

(657) Ab0e &

(658) '( h72 #*W EFC &

(659) 'e D"2P U

(660) 7 

(661) bC \z ^DF 11(0 ;

(662) x

(663) V „C  U'A35 ^DF &1

(664) 0e ./ Z'

(665) W "

(666) 3 &

(667) # %

(668) b w

(669) 3 rb %

(670) ‰/ w(   \z £Eb &1

(671) 0e ./  0

(672)  #DP ; e(b , 1

(673) 2345 % \z ^DF 

(674) " ,#0

(675)   Xs35 &1

(676) 0e ; D26' r U7x ]

(677) 7 &1

(678) 0e r0F +W % XO ¡

(679) F4 \c

(680) b ¡

(681) F# Z ,Ec ! 3 8]

(682) 7   1EC ^"2 U7x GDPpc 

(683) 3 ›™3W ARDL ]A7 !  ¥FÐ Ê"2 w<6 E0# ]c

(684) 3 :5  ARDL (1,2,1,2,2) selected based on Schwarz Bayesian Criterion Variable Coefficient Std. Error t-ratio Probability dEXPEN -0.87962 0.34825 -2.5258 [0.032] dEXPEN1 1.8026 0.55220 3.2644 [0.010] dZAKAT -0.12014 0.32208 -0.37301 [0.718] dSADAK 15.2135 5.6246 2.7048 [0.024] dSADAK1 -21.1865 6.7473 -3.1400 [0.012] dFETER -18.1343 13.6799 -1.3256 [0.218] dFETER1 33.2836 20.3822 1.6330 [0.137] dINPT 442.4708 5548.2 0.079750 [0.938] ecm(-1) 0.44039 0.39760 1.1076 [0.297] R-squared 0.92145 U(ƒ UCF 81 ,, V V# 81 ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ 888801

(685) 2345 "673 % &

(686) '( >

(687)  ?

(688) "4.

(689) 2018 

(690) 02  

(691) 15 . 325. ISSN: 1112-4938, EISSN: 2600-6456. D.W F-stat.. 1.8759 7.3314 [0.011.]. MICROFIT 481 Uc

(692) 2P5 ]

(693) v Y

(694) Eƒ = 1X3 ZsP

(695) V 1/  :2W. ,dEXPEN1 ,dEXPEN D#3 W Y›™36D ,7b ›N¥ 0 ›2# rO % 8]

(696) 7  1EC ^"2 = dSADAK1 ,dSADAK "

(697) – &BC % ]

(698) 7  1EC ^"2 =

(699) V

(700)  dEXPEN &

(701) '( Y

(702) ¤ EoT

(703) Ab0e &

(704) '( 0

(705) V‹ `

(706) Ð _"

(707) z3 6’3 &

(708) '( Y

(709) ¤ 9- 

(710) V35  ^

(711) f `

(712)  CD3pW @

(713) 2W = 0e3D g2pW ˜

(714)   F3#* _0

(715) 2W  8

(716) AC0

(717) 2 %

(718) ‰ h

(719) C  ˜( uó ,- – h

(720) C 

(721) "  ˜( uó U7b0 , EO  ˜E#C ENO  9- 5/ 8]

(722) 7 \z ^DF dA35 

(723) " ,#0 9- £BC0* 9

(724) ' − ˜E#C #VF

(725) A7 ˜(

(726) z

(727)  !C7"*  Y

(728) ¤W  9- 

(729) V3 = #P YBC % ô

(730) Å/ ›N¥ < ÊV20* ]

(731) 7 &1

(732) 0e \z h

(733) C 

(734) " 0# = EN- [ 9z"

(735)   CD3pW Y

(736) 

(737) "3P5 "VD % 8Y

(738) 42D V 7

(739)  r"D3 qC 8]

(740) 7  1EC ^"2 ./ &1b = w<67 &4 q"# U3 ,ECM−1 ‹"3 9- ARDL 

(741) V3 ›t0 Z O D0x 4 1 m = ,,1

(742) 234 uEF‰ - rD ,- 2P b 9e3 m äVs0

(743) õ ,%5 07b 1 7 &'T ›Ç V ECM−1 &

(744) a/ 9- •"P ,Y›™3W D Y›™3W Z O D0x 4 ;

(745) 7 0 5 ,"P

(746)   ,w<67 % E#3 1 8+E- "P

(747)   w<67 %  DHCEEÄe^jÖ]BÇj¹]VêÞ^nÖ]tƒçÛßÖ]282 ñ- 1 m w<67 ` +  _tzD 0» "

(748) "# Y

(749) V35 ]c

(750) 3 YEAð9- 6 )4 f  ZV30 8Y

(751) V35 ]c

(752) 3 % ("$ - 41 =

(753) — VD EoT 4 "

(754) "4 r'

(755) t < Ë

(756) V 1 = 1- ñ- EA“ )D 8Ó

(757) ‹7 [3`  !#3 Y

(758) V3 "Š e

(759) 3 w<67 ‚ RESET 

(760) V3 EA“0 ï X' ,Correlation Residual Serial "ctb ˜

(761) Fá 

(762) ‰

(763)  ,Misspecification w<67 "Dz" % rD 1 = 1- ñ- RamsyÛ 1969 q

(764) Æ & Dzt Að m Uctb ¥FpD Ub"VF 0e3

(765)  !Db3 r'

(766) t Að m ./ 8Heteroscedasticity Y

(767) 70

(768) V3. @ @@@@@@@@NNNNNNNNNNNNNNNNNNNNNNNNNNNNNN@@@@‹öa§a@@ð†aìÛa@òÈßbu https://www.asjp.cerist.dz/en/PresentationRevue/202.

(769) 2018 

(770) 02  

(771) 15 . 326. ISSN: 1112-4938, EISSN: 2600-6456. HCE 

(772) 3 ›™3W ARDL "‹A7 mp3

(773)  w<67 E0# ]c

(774) 3 :6  ARDL (1,0,0,0,1) selected based on Schwarz Bayesian Criterion Variable HCE(-1) EXPEN ZAKAT SADAK FETER FETER(-1) INPT R-squared D.W F-stat.. Coefficient Std. Error 0.44585 0.23639 -0.9597E-4 0.1058E-3 0.7576E-4 0.1069E-3 0.2879E-3 0.8871E-3 -0.0059456 0.0038450 0.0061652 0.0033415 10.2916 6.9608 0.69577 2.3495 4.1928[0.019] Diagnostic Tests: Serial Correlation < Ë

(775) V 0 5 RESET _"`3 ˜ é

(776) b0 5 w<67 Normality Ub"Vx 0e ¡e3 U4V Heteroscedasticity 0

(777) V3 Y

(778) Vo. t-ratio 1.8861 -0.90685 0.70877 0.32457 -1.5463 1.8450 1.4785. Probability [0.086] [0.384] [0.493] [0.752] [0.150] [0.092] [0.167]. 0.98209 0.62893 1.7698 2.9639. Probability [0.345] [0.446] [0.413] [0.104]. MICROFIT 481 Uc

(779) 2P ]

(780) v Y

(781) Eƒ = 1X3 ZsP

(782) V 1/  :2W. HCE 

(783) 3 ›™3W ARDL "‹A7 mp3

(784)  &#W rO D0x Y

(785) bW :7  ARDL (1,0,0,0,1) selected based on Schwarz Bayesian Criterion Variable EXPEN ZAKAT SADAK FETER INPT. Coefficient -0.1732E-3 0.1367E-3 0.5196E-3 0.3963E-3 18.5721. Std. Error 0.1674E-3 0.1791E-3 0.0015714 0.0084155 5.4778. t-ratio -1.0348 0.76322 0.33064 0.047089 3.3904. Probability [0.323] [0.461] [0.747] [0.963] [0.006]. MICROFIT 481 Uc

(786) 2P5 ]

(787) v Y

(788) Eƒ = 1X3 ZsP

(789) V 1/  :2W. rz ,7b ›N¥ 1 m ./ 7 )4 f % &1 r0F rO % ]c

(790) 37 ›t 8

(791) 3 ›™3W = D#3 W Y›™3W. U(ƒ UCF 81 ,, V V# 81 ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ ‚ 888801

(792) 2345 "673 % &

(793) '( >

(794)  ?

(795) "4.

(796) 327. 2018 

(797) 02  

(798) 15  ISSN: 1112-4938, EISSN: 2600-6456. HCE 

(799) 3 ›™3W ARDL ]A7 !  ¥FÐ Ê"2 w<6 E0# ]c

(800) 3 8  ARDL (1,0,0,0,1) selected based on Schwarz Bayesian Criterion Variable Coefficient Std. Error t-ratio Probability dEXPEN -0.9597E-4 0.1058E-3 -0.90685 [0.382] Dzakat 0.7576E-4 0.1069E-3 0.70877 [0.492] Dsadak 0.2879E-3 0.8871E-3 0.32457 [0.751] dFETER -0.0059456 0.0038450 -1.5463 [0.148] dINPT 10.2916 1.4785 [0.165] 6.9608 ecm(-1) -0.55415 0.23639 -2.3442 [0.037] R-squared 0.59643 D.W 2.3495 F-stat. 3.2514[0.044] MICROFIT 481 Uc

(801) 2P ]

(802) v Y

(803) Eƒ = 1X3 ZsP

(804) V 1/  :2W. 

(805) V3 ›t0 8

(806) 3 ›™3W = D#3 W Y›™3W rz ,7b ›N¥ 0 5 ›2# rO % ,- 2P b 9e3 ./ &1b = w<67 &4 q"# U3 ,ECM−1 ‹"3 9- ARDL &

(807) a/ 9- •"P ,Y›™3W Z O D0x 4 ;

(808) 7 9- = ,,1

(809) 234 uEF‰ - rD % — E#3 äVs0

(810) õ 8%5 +3  7 07b Ê"` P  r4-

(811) A36"4 V

(812)  ECM−1 "P

(813)   w<67 % D Y›™3W Z O D0x 4 ;

(814) 7 9- ,"P

(815)   ,w<67 = Y

(816) 42 EFC &

(817) 'e &

(818) '( Y

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