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2022
EISSN: ISSN : 2661-7986
*
Impact of Institutional Quality Determinants on Innovation in the
Arab Countries: Empirical Study
chaouki.chadli@univ-ouargla.dz
abada.abderraouf@univ-ghardaia.dz
Hamidat.amar@univ-ghardaia.dz
161204020203
JELO43O31C23
Abstract :
The aim of this study is to test the effect
of the institutional quality determinants:
(voice and accountability, political
stability and absence of violence,
government effectiveness, regulatory
quality, rule of law, control of corruption)
on the innovation in the Arab countries
during the period from 2011 to 2019. To
doing so, this paper uses the data of 11
Arab countries through estimation and
comparison between the Panel Data
models: pooled regression model, fixed
effects model, and the random effects
model. The results show that the random
effects model is appropriate, and
regulatory quality and control of
corruption negatively affecte the
Innovation, the result also found that
innovation is not affected by voice and
accountability, political stability and
absence of violence, government
effectiveness and rule of law.
Keywords: institutional quality
innovation; Panel data model.
JEL Classification: O43 ;O31 ; C23
229
(Hasan & Tucci, 2010)(verspagen,
2005)(Cameron, 1996) (barasa,
knoben, & vermeulen, 2017)(Segerstrom, 1991)(Ulku, 2004)
(Ndesaulwa &
Kikula, 2016, p. 7)
(Chong & calderon, 2000, p. 80)
(Tebaldi & Elmslie, 2013,
p. 887)Knack Keefer 1995
(Ali & CRAIN, 2001, p.
424)
(Tebaldi & Elmslie, 2013, p.
887)(Baris, 2019, p. 167)
(Hussen & Çokgezen,
2021, p. 25)
.
(huang & xu, 1999, p.
438)
(Tebaldi & Elmslie, 2013, p. 887)(Baris, 2019, p. 167)
231
.
".(OECD, 2009, p. 11)
2015, p. 649) (Bubel, Ostraszewska, & Turek,
North (Institutions )
(Faundez, 2016, p. 390)
Greif
(Alonso & Garcimartín, 2013, pp. 207-
208)Kauffman
(kaufmann, kraay,
& mastruzzi, 2011, p. 3)
:
:
:
233
AlonsoGarcimartín
(Alonso & Garcimartín, 2013, p. 208)Bakwena
(Bakwena, Bodman, & Le, 2009, p. 21)
(Vuong & napier, 2014, p. 654) Li
(Li, Naqvi, &
Caglar, 2020)Birku Reta
(Entele, 2021, p. 8)
(Wang, qiao, &
ahmed, 2021, p. 2).
(abdelkader, 2021, p. 191)
Anokhin
Schulze)(
(Anokhin & Schulze, 2009, p. 474)
(Hussen & Çokgezen,
2021, p. 17)
(Oluwatobi, Efobi, & Olurinola, 2015, p. 408)
235
(Jiao, Koo, & Cui,
2015, p. 9)
(barasa, knoben, & vermeulen, 2017, p. 282)
(Wang, qiao, & ahmed, 2021, p. 6) (Nguyen & Jaramillo, 2014, p. 13)
Çokgezen Husse
(Hussen & Çokgezen, 2021, p. 17)
NguyenJaramillo
(Nguyen & Jaramillo, 2014, p. 13)
JiaoKooCui
(Jiao, Koo, & Cui, 2015, p. 9)OluwatobiEfobi
Olurinola
(Oluwatobi, Efobi, & Olurinola, 2015, p. 408)
(Oluwatobi, Efobi, & Olurinola, 2015, p.
391)
(Oluwatobi, Efobi, & Olurinola, 2015, p. 408)
Hussen Çokgezen
WBES
(Hussen
& Çokgezen, 2021)
Baris
237
(Baris, 2019)
JiaoKooCui
(Jiao, Koo, & Cui, 2015)
Oluwatob,EfobiOlurinola
(Oluwatobi, Efobi, &
Olurinola, 2015)
(barasa, knoben, & vermeulen, 2017)
(Ayyagari, Demirgüç-Kunt, & Maksimovic, 2016)(Chadee & Roxas, 2013)
(Baris, 2019)(Tebaldi & Elmslie, 2013)
Kauffman (kaufmann, kraay, & mastruzzi, 2011, p. 3)
(worldbank, 2021)
(Hussen & Çokgezen, 2021)
(Baris, 2019)(Oluwatobi, Efobi, & Olurinola, 2015)
Panel Data
Minimum
Maximum
Mean
Std. Deviation
N
Name
Variable
8
3651
938.75
889.018
99
Patent
-1.9072
.3046
-1.090793
0.5330590
99
VOAC
-2.9933
1.2236
-0.803166
1.0490896
99
PSNV
-2.2794
1.5096
-0.159650
0.8805631
99
GOVE
-1.6738
1.1111
-0.264825
0.7940056
99
REGQ
-1.7899
.9585
-0.166057
0.7279389
99
ROL
-1.6815
1.2808
-0.182315
0.8068386
99
COC
Eviews.9
239
F-Test
LM Breush and Pagan
Hausman Test
Panel Data Models
i
t
(Patent)
2019T=09N=11 *
PRM
FEM
REM
Constante
507.8561
0.0777
614.8813
0.1813
554.4642
0.3028
VOAC
-365.2319
0.0406
-146.5126
0.7119
-127.0907
0.7065
PSNV
25.87511
0.9195
-414.1832
0.1012
-447.1909
0.0571
GOVE
849.3268
0.1139
151.5754
0.7397
268.9117
0.5329
REGQ
-792.7631
0.0423
-721.3613
0.0488
-787.6938
0.0244
ROL
-130.4307
0.7988
716.7182
0.1578
554.8200
0.2332
COC
234.3517
0.6960
1187.097
0.0108
1025.982
0.0119
R-squared
0.161850
0.834093
0.170440
Adjusted R-
squared
0.107188
0.801721
0.116338
Prob (F-statistic
0.010920
0.000000
0.007442
Eviews.9
RedundantFixed Effects Tests)
Lagrange Multiplier
Tests for Random Effects
Hausman Test
241
Redundant Fixed Effects Tests
Eviews 9.0
Cross-section F
H0
H1
Lagrange Multiplier Tests for Random Effects
Eviews 9.0
Lagrange
multiplier (Breusch-Pagan , Honda ,King-Wu, Standardized
Honda ,StandardizedHonda Standardized King-Wu, Gourierioux, et al.)
H0
H1
Hausman Test
Eviews 9.0
Hausman Test
H0
c0.0777
243
REGQ 0.0244
Patent
COC0.0119
(Patent)
(VOAC)
(PSNV)(GOVE)
(ROL)0.7065
0.05710.53290.2332
0.007442
(Xia, Tan, & Bai, 2018)
(Jiang & tan, 2019)
Barasa
(Barasa, 2018, p. 817)(Veracierto, 2008)
(Panel Data Models)
245
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