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The Impact of Direct and Indirect Taxes on the Growth of the Turkish Economy*
Preliminary communication | Year: 2019 | Pages: 311 - 323 | Volume: 43 | Issue: 3 Received: July 9, 2019 | Accepted: July 31, 2019 | Published online: September 14, 2019
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FULL ARTICLE
FIGURES & DATA
REFERENCES
CROSSMARK POLICY
METRICS
LICENCING
PDF
Advantages
|
Disadvantages
|
·
Avoiding
taxes on goods and services is almost impossible.
·
The return
of value-added tax in export transactions has a positive impact on
foreign trade.
·
Taxing
consumption rather than income in order not to alter total income encourages
economic growth.
·
Raising
indirect taxes also raises capital accumulation in the long term.
|
·
Reducing
income tax in favor of raising value-added tax increases the tax burden on
those with lower- and middle-class incomes.
·
Raising
indirect taxes curbs the overall demand for goods and services.
·
Focusing
on consumption encourages those with upper-class incomes who also consume
little to evade taxes.
|
Source: Özdemir (2009:17-18)
Descriptive statistics
|
LGDP
|
LIT
|
LDT
|
Mean
|
19.5805
|
16.5633
|
15.4622
|
Median
|
19.5677
|
16.5482
|
15.4209
|
Maximum
|
19.9026
|
17.3774
|
16.5224
|
Minimum
|
19.2969
|
15.8865
|
14.5990
|
Standard Deviation
|
0.2010
|
0.4677
|
0.4942
|
Skewness
|
0.1154
|
0.0344
|
0.1649
|
Kurtosis
|
1.5702
|
1.7247
|
1.9648
|
Jarque–Bera
|
4.5444*
|
1.7247*
|
2.5577*
|
Note: * Indicates a significance level of 5%
Variable
|
ADF
|
PP
|
LGDP
|
-2.032(-4.148)
|
-1.444(-4.152)
|
∆LGDP
|
-6.963(-4.152)*
|
-7.504(-4.156)*
|
LIT
|
-4.349 (-4.148)*
|
-4.245 (-4.148)*
|
LDT
|
-5.790 (-4.152)*
|
-5.996 (-4.148)*
|
Note: * Indicates a significance level of 1%. Figures in parentheses are critical values of test statistics. Schwarz information criterion is used.
Estimated model
|
Optimal lag
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F-statistics
|
Lower bound
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Upper bound cointegration
|
|
|
|
4.38
|
5.35 (10%)
|
LGDP=f (LIT, LDT)
|
(4,1,0)
|
14.16
|
5.24
|
6.30 (5%)
|
Exists
|
|
|
|
|
|
|
|
7.33
|
8.72 (1%)
|
Variables
|
Coefficients
|
t-statistics
|
p-value
|
LGDP_SA(-1)
|
0.4419
|
3.1087
|
0.0035
|
LGDP_SA(-2)
|
-0.0530
|
-0.3567
|
0.7232
|
LGDP_SA(-3)
|
0.0872
|
0.5906
|
0.5582
|
LGDP--SA(-4)
|
0.3035
|
2.2880
|
0.0276
|
LIT_SA
|
0.2795
|
6.1999
|
0.0000
|
LIT_SA(-1)
|
0.1166
|
2.4336
|
0.0196
|
LDT_SA
|
-0.0892
|
-3.3311
|
0.0019
|
C
|
-0.6772
|
-0.4504
|
0.6549
|
@TREND
|
-0.0064
|
-3.2102
|
0.0027
|
Variables
|
Coefficients
|
t-statistics
|
p-value
|
LIT_SA
|
1.7983
|
2.9701
|
0.0051
|
LDT_SA
|
-0.4052
|
-2.1865
|
0.0348
|
CointEq(-1)*
|
-0.2203
|
-6.6839
|
0.0000
|
EC = LGDP_SA - (1.7983*LIT_SA
-0.4053*LDT_SA)
|
Test
|
F-statistics
|
p-value
|
Breusch–Godfrey LM test
|
0.2147
|
0.8077
|
White Test
|
0.581
|
0.4796
|
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September, 2019 III/2019 |