The Impact of Automatic Stabilizers on the Economic Growth of Albania
during the Period 1999-2021
MATILDA VELIU
Faculty of Economy, Department of Economics, University of Tirana,
ALBANIA
Abstract- Fiscal policy remains a crucial and powerful strategy to improve the welfare of citizens. During the last
three decades, Albania has faced enormous social-economic challenges, raising the necessity for an adequate fiscal
policy under the current economic situation. The correlation between fiscal policy and economic growth is a highly
debated topic in literature reviews, as some of the fiscal tools do not influence in the same direction on economic
growth. The purpose of the article is to see the influence of Automatic Stabilizers (AS) on the Economic Growth of
Albania during the period 1999-2022. Most of the topics have been focused on the influence of active fiscal policy
on economic growth despite this an unclear gap exists about the influence of the automatic fiscal policy, especially
in Albania reality. The secondary data of the Ministry of Finance and INSTAT institutions about the variables and
the factors that influence them like the tax system, tax revenues, and public expenditures are analyzed for this
purpose. The conclusions reveal the necessity to improve especially the formula of the tax system according to the
challenges of the economy. For almost three decades, the data of Automatic Stabilizers (AS) have been included in
the multiple linear regression equation using the Ordinary Least Square (OLS) technique. The empirical result
shows a narrow positive impact range of Automatic Stabilizers on Economic Growth. The change in the tax system
and events such as the earthquake on November 9th, 2019, and the Covid-19 pandemic seem to have had a huge
impact on this relationship. As Automatic Stabilizers have to do with vulnerable groups (social assistance is part of
AS), some actions should be undertaken focusing on the improvement of the tax system, according to optimal
management of expenditures. Applying the best practices to increase the revenues of vulnerable groups is
necessary to cope better with the increasing actual rate of inflation.
Key Words: Tax system, Automatic stabilizers, Fiscal balance, Economic growth.
Received: July 17, 2022. Revised: October 12, 2022. Accepted: November 10, 2022. Available online: December 14, 2022.
1 Introduction
Fiscal policies are one of the main strategies used to
improve the economic situation of a country. The
consequences of the appropriate fiscal strategy will
depend strongly on objective factors like the
country’s current economic environment, subjective
factors like income inequality consequences, [1],
cultural factors such as human capital accumulation,
[2], secondary and tertiary educational attainment,
etc. In their article, [1], the authors emphasized that
income tax is more progressive and may abate
income inequality in developing countries rather than
in developed countries. Factors like government size,
health expenditures, and education expenditures are
negatively associated with income inequality.
According to, [2], the secondary and tertiary
educational attainments of the labor force have a
significant positive effect on economic growth,
whereas primary education has an insignificant
negative effect. The main markets in the economy,
those of production factors (especially the labor
market), markets of goods and services, and financial
markets seem to influence the performance of overall
fiscal policy and otherwise. Their objective and
subjective triggers remain also very determinants.
The relationship between fiscal policy and economic
growth is complex, where the amplitude’s change of
one variable has not the same impact on the other
variables, leading to discussion topics.
The active fiscal policy has been for a long time a
crucial point in economic growth, while only in
recent days the automatic fiscal policy has an
increasing interest. This article aims to see this
correlation, focusing on variable AS and taking into
consideration its triggers like the tax system,
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expenditures, etc. Although many papers show
different scenarios (divergence and convergence) of
fiscal policy on the increasing rate of the economy,
no specific evidence exists for Albania, taking
specifically into account automatic stabilizers (AS).
Besides that, the variable is related to other fiscal
variables, making the problem more complicated.
The proper tax system selected to achieve the
objectives remains one of the most important
economic decisions.
Albania has changed the tax system three times over
those 16 years and therefore Automatic Stabilizer
(AS), which includes tax revenues and a payment
scheme (unemployment assistance), has changed
automatically. The “manipulation” of AS is almost
done without any bureaucratic costs because it is an
automatic fiscal tool. This creates an opportunity to
improve the negative effects of a possible recession
phase of the economy.
The theory suggests, [3], that an inappropriate tax
rate will permanently decrease the economic growth
of the country. The implementation process of fiscal
strategy also is very important to the overall
performance. Macroeconomic studies suggest, [4],
that an increased tax level on revenues, automatically
will reduce the level of consumption, and the effect
of fiscal multiplier (if the other factors are ceteris
paribus) will reduce economic growth much.
Although the revenues from taxes probably will be
managed well, simulating investments in absolute
terms, we cannot have a positive economic growth
rate if we are not able to connect the investment with
the rise of consumption, [4].
In Albania two different tax systems are applied on
citizen revenues: flat tax and progressive tax, where
the progressive tax system was modified in 2017, [5].
Focusing on the consequences of the tax system, the
paper will try to reveal:
i. Which of the two systems was able to
generate more revenue, increasing the
possibility for higher levels of consumption?
ii. Which of the social rank of the population
results to be more favorable by the
application of that tax system?
iii. Is there any possibility for automatic
stabilizers (AS) to influence economic
growth?
Automatic stabilizers (AS) are fiscal mechanisms
that directly influence the government budget,
increasing government expenditures or reducing
taxes when the economy goes into a recession phase.
The Overall Fiscal Balance indicator will be
examined to understand how much of the
government expenditures per year are covered by the
budget, therefore to know how the fiscal policy
performs on economic growth. By using the database
of the Ministry of Finance and other official
institutions (INSTAT, World Bank) it will be able to
create an idea about the related issues.
2 Literature Review
As was highlighted above, many researchers have
found different conclusions on the inner relationship
among the variables highly correlated with fiscal
policy and economic growth. Their conclusions are
based on the socio-economic dimensions that a
country reveals, depending on cultural or political
features. Therefore, the recommendations to improve
the relationships among variables vary from one
county to another. The discussion takes priority
especially when the economy is in recession and the
application of an appropriate fiscal policy is an
emergency to improve the situation, but also it is
going to be present even when the positive steady
state of the economy takes place.
The negative marginal effects of a possible recession
may not influence the economy if the proper
economic actions are undertaken immediately. The
determination of the optimal tax rate, or the interval
tax rate, is essential and should be done through the
exact evaluation of the macroeconomic indicators of
the country, and those should not be biased.
The overall performance of the fiscal policy will
mainly be dependent on the marginal effects of the
taxes. Takes priority the category of goods and
services on which the changing tax rate occurs, also
the time when it is applied.
According to the literature, focusing on taxable
goods reveals that Korea and Japan, [6], are more
likely to face an efficiency-equity tradeoff by the
revenue-neutral marginal tax reforms incorporating a
reduced tax on food & beverages. Therefore,
specifying well-taxable goods and services remains a
good start on a well-designed fiscal policy.
In recent years, the separation of revenues because
of tax effects is seen by researchers as a way to
understand the situation better. The separation is
done according to the references of the authors, [7],
who suggest separating the public tax revenues into
these main categories: a) Distortionary Revenues; b)
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Non- Distortionary Revenues, and c) Other
Revenues.
In Albanian reality was found that, [8], these
revenues and other sub-categories have reduced
economic growth, but distortionary taxation has a
much larger and more significant effect on economic
growth. The researchers stressed the fact that
distortionary policies have the main impact on that
result. According to, [9], whobased on the database
of the Albanian Ministry of Finance for the period
2007-2017 figured out that 𝑀𝑁𝐷𝑅 variable
(Marginal Non-Distortionary Revenues) is the only
independent variable that influences economic
growth. The author stressed that value-added tax
(VAT) and excise tax remain those that have the
greatest impact on economic growth compared to
other taxes.
The way tax revenues are managed and how the
implementation process of fiscal policy performs,
remains essential for the improvement of the
economy. According to the authors, [10], the
relationships between economic growth and tax
income policies are apparent and a slight marginal
change of 5% of those will affect economic growth
by 0.2%-0.3%.
Focusing on the literature review, the impact of
fiscal policy on economic growth shows a 3-
dimensional view related to the socio-economic-
political conditions of the specific country where the
study is conducted. The researchers have used
different methods and techniques for the analysis of
the data. Some main findings of the literature are
revealed in Table 1.
Table 1. The summary of the Literature Review: The impact of fiscal policies on economic growth.
Researchers
Main Findings
[11]
There is a significant difference in the level of impact of fiscal policy on economic growth
across different fiscal regimes. The fiscal policy is more effective in the deregulated period
compared to the regulated period.
[12]
The impact of the tax burden, public expenditures, and fiscal deficit on the economic growth of
23 European countries during 2012-2021 has been assessed and negatively correlated with
economic growth indicators.
[13]
Tax revenue has a significant positive impact on the economic growth method: Generalized
Methods of Moments (GMM).
[14]
The tax policies have a bidirectional kind of relationship
[15]
Only consumption tax has a significant negative effect, the other forms of taxation had a
heterogeneous effect, method: Panel Data Analysis.
[16]
Significant Positive Effect, method: Ordinary Least Square.
[17]
The impact depends on the type of tax applied.
[18]
The significant negative effect, method: Times Series regression
[19]
Ambiguous effect/no effect, method: Pooled-Cross data, Times Series Regression.
Source: The author’s summary, 2022
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As Table 1 highlights, the three major impacts of
fiscal policy on economic growth are:
o Fiscal policy is related positively to
economic growth.
o Fiscal policy is related negatively to
economic growth.
o An unclear relationship exists between those
two variables.
The model of progressive tax applied in Albania
since 2017 has been modified many times by the
changing of tax rates, minimum wage, etc, therefore
the automatic stabilizers AS of fiscal policy have
been changed automatically, increasing interest in
how those fiscal movements have influenced the
economic growth. The number of firms that operate
in Albania and their categorization upon some
features like the size, number of employees, and the
level of their annual profit are inputs for the
preparation of a good fiscal strategy.
When the tax changes, some entities tend to avoid it,
but according to the authors, [20], who focused the
study on 183 tax-audited Albanian entities, found
that those which have a high level of liquid ratio
show a low level of tax risk. Among the all ratios
used by them for the analysis of data, the debt ratio
remains the most significant on tax audit risk.
Therefore, to create the proper fiscal strategy it is
necessary to focus also on the variables that are
concentrated especially on the micro-aspects of the
economy.
3 The Evaluation of Some Fiscal
Factors that Determine the Automatic
Stabilizers (AS) in Albania
From 2005 until 2013 the country faced the flat tax
system and the progressive tax system from the
beginning of 2014 up to 2017. The revised
progressive tax system was applied in 2018.
Comparing the two systems, [21], the flat tax was
simple without any bureaucratic cost because the
revenues up to 10.000 All were not taxable, while for
those among 10.001 All -30.000 All were applied a
rate tax by 10% for the sum of revenues above
10.000 All. For revenues higher than 30.001 All were
applied the 10% tax rate.
Therefore, the implemented formula was simple and
with practical values. The progressive model was
different and the tax rates changed according to the
level of revenues. The revenues tend to be more
specific than in the flat tax system. Table 2 shows the
progressive formula up to 2017. This was the first
progressive tax formula because it changed during
the next few years.
Table 2. Tax rates of the first progressive tax model on personal revenues.
Taxable monthly income
0
To 14.000 All
14.001
40.000
40.001
90.000
90.001
200.000
200.001
more
Source: Ministry of Finance, 2017
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The information provided by Table 2 confirms that
the flat tax system was simple, and less bureaucratic
than the progressive tax, but from another
perspective, the progressive tax contributes much
better to the improvement of the economic conditions
of those people who do not earn so much revenue.
The disaggregate data of Table 3 are based on the
revenues between the two tax systems showing the
effects of each system. The simulation process is
done for different tax revenues and, for the same
level of revenue is calculated the difference in a
taxable sum according to each tax system. The results
of Table 3 reinforce the conclusion above that for
people who earn less the progressive tax system is
much better.
Table 3. Various versions of taxable income on both tax systems.
Taxable
Income
Progressive Tax(1)
Flat Tax(2)
Conclusions
Case 1
30.000 All
940 All
2.000 All
Progressive Tax
has a positive effect
Difference (2)-(1)
1.060 All
Case 2
40.000 All
1.440 All
4.000 All
Progressive Tax
has a positive effect
Difference (2)-(1)
2.560 All
Case 3
55.000 All
2.940 All
5.500 All
Progressive Tax
has a positive effect
Difference (2)-(1)
2.560 All
Case 4
70.000 All
4.440 All
7.000 All
Progressive Tax
has a positive effect
Difference (2)-(1)
2.560 All
Case 5
105.000 All
8.690 All
10.500 All
Progressive Tax
has a positive effect
Difference (2)-(1)
1.860 All
Case 6
140.000 All
13.940 All
14.000 All
Progressive Tax
has a positive effect
Difference (2)-(1)
940 All
Case 7
160.000 All
22.940 All
16.000 All
Flat Tax has a
positive effect
Difference (2)-(1)
-.940 All
Source: INSTAT (2017), the author's calculation, 2017
According to the data of Table 3, the progressive tax
takes priority over the flat tax among the salaries
included on the segment [40.000-70.000] All and
with a decrease rate of 51% for the salaries on the
segment [40.000-55.000] and up to 33.7% for the
salaries that are included on semi- segment [55.000-
70.000]. For the segment [40.000-70.000] All, the
absolute difference remains constant at a level of
2.560 All. The progressive tax model influences
more positively than the flat tax in this segment, but
the differences in relative terms from one range to
another decrease with a small rate, [9]. Therefore, the
Albanians do not recognize very much the difference
between the two systems, determining low levels of
consumption over time, [22].
The simulation analysis done in Table 3 shows that
the marginal effect of a progressive tax remains
relatively low for different revenues. Despite
implementing different fiscal policies, the focus on
the marginal effects of taxes seems to be crucial as
the AS variable is mainly dependent on the level of
the tax revenues. Until now, the marginal effect of
taxes was not involved well in the strategy. The
analysis of data converges with that. A statistical
approach should be incorporated well, even when the
strategy is at first draft.
The political and economic events that take place in
Albania beyond 2017 raise the necessity to revise the
progressive tax system to reaching economic targets.
Consequently, the new tax rates, [5], according to the
revenues were as below:
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o 0-30.000 All, rate 0%;
o 30.001-150.000 All, the taxation rate is 13%
of the sum over 30.000 All and
o Over 150.001 All, the taxation rate is 16.000
All +23% of the sum over 150.000 All.
The reformatted progressive tax system gives a new
simple formula of taxation contributing to the
reduction of bureaucratic costs.
It results in a hybrid system between the two tax
systems mentioned above, as suggested by, [3, 27].
According to them, the taxation must be on a single
level for all the income sources, which are subject to
taxation only once, at the moment of earning. They
supposed that the tax rate must be at 19% to perform
better in the economy.
The indicators used to change the progressive tax
system according to, [22], were:
a) The minimum wage that it is not taxable and,
b) Tax rates over the different revenues.
The final target objective according to, [5], was to
reduce fiscal evasion and at least, to remain constant
private consumption.
The fiscalization process plays a crucial role in the
result. The process tends to show online every
transaction of the entities in Albania. Only in June
2022, it was completed totally. Despite this, the
economic fluctuations remain evident, [23], showing
a potential risk for an economic recession. The
effects of the earthquake, the Covid-19, the energy
crisis, and now the consequences of the Ukraine War
are present in the economy, emphasizing the
necessity of institutions to take steps in markets,
especially in the Gasoil market.
The trend of real GDP growth and tax revenues will
evaluate the economic situation during recent years.
The disaggregate data of Figure 1 show that the GDP
rate has received the highest value of 3.8% in 2017
and after that has been remaining constant over the
two upcoming years. In the same year, the tax
revenues variable takes the highest value.
The continuity of tax revenues during the pandemic
time due to the increasing import of some items,
especially alcohol and Gasoil products, remains an
interesting fact. Although the average level of
salaries remains among the lowest in European
countries, (approximately 302 euros), the average
price of Gasoil products is the highest, [24],
reflecting a clear asymmetry of the market.
Fig. 1: Tax Revenues and real GDP growth in Albania during the period 2009-2020.
Source: Ministry of Finance (2021), the author’s visual presentation.
The changing of tax systems occurs is in 2013 and
the data of Figure 1 reveal that the fluctuation of the
two variables (GDP r and Tax revenues) seems to be
higher in the split year (2013) and almost consistent
after it. This result shows that after all, the
progressive tax system contributes better than the flat
tax. Much more, it reveals that the forecasting
process of tax revenues is an essential process that
has to be coordinated with the proper tax revenue
management to mitigate the negative effects of a
possible recession. The expenditures also play a huge
role in this process. With the purpose to examine the
fluctuations of the expenditure variable during the
years, based on the data of Figure 2, is calculated the
3,3 3,5 21,3 0,7 2,1 2,6 3,3 3,8 3,8 3,8 2,24
23,7 23,3 23,4 22,6 22,2 24,1 24,7 25,1 25,2 25,3
18,15 18,7
0
5
10
15
20
25
30
35
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
GDP r (%) Tax Revenue (%)
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average value rate of it estimated by 30.3%. Then,
the estimated differences between the current
expenditure of each year and average value are
calculated. The highest value results in 2020 with a
rate of 9.57%. Meanwhile, the deviation of the
highest rate of tax revenue with its average value
(exactly 23.03%), results at 9.85%. The tax revenue
reached the highest level in 2018, at exactly 25.3%.
At that time, the pandemic effect was not yet present.
If we take into consideration the deviations rate of
both two variables from their average value
respectively, it is clear that those are almost equal, a
conclusion that agrees with the analysis above.
Fig. 2: The trend of expenditures and tax revenues in Albania during the period 2009-2020.
Source: Ministry of Finance (2021), IMF 2021, the author’s visual presentation.
Table 4. The ratio of Tax Revenues/Expenditures (TaxR/E) over the years in Albania.
Year
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
Ratio
TaxR/E
71.3
79.5
80.9
80.1
76.0
76.5
77.9
82.29
84.8
87.2
62.1
56.3
Source: Ministry of Finance (2021), IMF (2021), the author’s presentation.
Furthermore, keeping as target the objective above is
calculated the ratio of two variables: Tax
Revenues/Expenditures- (TaxR/E) for the period
2009-2020.
Table 4 gives the respective values for each year.
As Table 4 reveals the ratio TaxR/E takes the highest
level in 2018, exactly 87.2%, corresponding to the
year when the tax revenue also takes the highest
value. On this result, the process of revenue
digitalization and the psychological effect of
fiscalization have generated positive effects. The
positive rate of tax revenue through the years
approves that, [20], the micro-entities play a huge
role. In recent years, the effects of imports are
evident, [22], despite the influences of endogenous
events (the Ukraine war, the pandemic effect, etc) on
the economy.
The relevant fact is that for the period 2017-2019 the
values of the variables remain stable and almost at
the highest respective levels compared to all the post-
communism period times.
A higher rate of tax revenues over time implies
consequences.
As the macroeconomic literature suggests, increasing
tax revenues implies a rise in the rate of inflation.
Therefore, to keep it in control, the loan rates come
as a prior target. Coordination of fiscal policy and
monetary policy is necessary.
Besides this, focusing on fiscal policy, the forecast
rate of both expenditures and revenues remains
critical for a sustainable economy. The process of
forecasting expenditures is done based on the
forecast rate of the previous year. To see how the
expenditures vary among the years, the difference of
each respective year with the lowest rate of the
variable through the period 2009-2020 estimated by
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Rev tot(%) 23,7 23,3 23,4 22,6 22,2 24,1 24,7 25,1 25,2 25,3 18,15 18,7
Exp Tot % 33,2 29,3 28,9 28,2 29,2 31,5 31,7 30,5 29,7 29 29,2 33,2
0
5
10
15
20
25
30
35
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28.2%, are revealed in Figure 3. The variable has
been generally declining over time, taking the lowest
value of 28.2% in 2012.
Specifically, as shown in Figure 3, the variable takes
the highest value in 2009 and 2020, respectively by 5
points.
Over 2012-2015 and after 2019, the variable shows
an increasing positive rate. The average rate for each
period is respectively 1.95% and 3%.
Fig. 3: The variable Exp-the lowest value (E-min value) during the period 2009-2020.
Source: Ministry of Finance (2021), IMF (2021), the author’s visual presentation.
Given the fluctuations in the variable, it seems that
the result was expected because the rate of
expenditures in 2019 and 2020 remains equal, whilst
in 2012 expenditures variable take the lowest value.
The absolute difference remains interesting in 2020
because corresponds to the year when the reduction
of expenditures was a priority for the mitigation of
the negative effects of the Covid-19 pandemic.
Whilst 2009 year corresponds with the year when the
flat tax system gives a reduced rate of tax revenues
up to 2013 when the tax system changed into the
progressive tax system.
Considering 2013 as a target can be identified easily
that, before 2013 tax revenues have a lower level
than after 2013, meanwhile expenditures are
presented with a not sustainable rate which tends to
increase in the years when major events take place.
The lowest level of expenditure variable is in 2012.
As the revenues are one of the main sources of
budget expenditures, Figure 4 shows the variability
of the two variables:
a) Expenditures-28.2% (where 28.2% is the
lowest value from the data panel) and,
b) Revenue/Expenditure (TaxR/E) ratio.
5
1,1 0,7
0
1
3,3 3,5
2,3
1,5
0,8 1
5
0
1
2
3
4
5
6
2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Exp-28.2
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Fig. 4: The trend of the TaxR/E ratio and the variable E-28.2 over the years in Albania.
Source: Ministry of Finance, IMF (2021), the author’s visual presentation.
2018 results to be the year with the best performance,
whilst 2020, as data of Figure 4 shows, has a minimal
gap, emphasizing the above problems. The results
underline the essential role of the appropriate
forecasting rate of expenditure for the creation of a
sustainable economy.
In 2018, using Arima and Autoregression Vectors
model to examine tax revenue forecast errors the
researchers, [25], have found that the Albanian
Ministry of Finance valued the variable by 1.59% of
the GDP, but in their point of view, according to the
conclusion of the models was less than 0.3% of GDP.
They stressed the fact of an overestimated value and
the strong impact of globalization’s effect on the
variables. To mitigate the impact risk of an
overestimating rate for both tax revenues and
expenditures on economic growth, the process should
constantly be estimated and with the proper method.
4 The Empirical Findings and
Methodology
Initially, it is important to specify the concept of
Automatic Stabilizers. It includes income taxes
(personal tax and corporate income tax) and welfare
spending. Therefore, focusing on automatic
stabilizers (AS) is essential because it shows how the
taxable incomes have performed over the years and
how those are incorporated into the economy by
multiplying the money and the possibility to increase
growth.
4.1 Methodology
The paper analyses how the fluctuation of variable
AS has impacted the economic growth of Albania.
All strategies tend to improve the overall economy
by raising the living standard of citizens but the
contrary direction remains to be evaluated. Increasing
growth of the economy does not always detect an
increasing standard of living, although vice versa is
always true, [28].
To find the potential link in this direction, the AS
variable will be estimated in the model, studying all
the possible information gathered for this purpose. It
is relatively hard to find all the primary necessary
data to examine in detail the problem. Therefore,
using the secondary data obtained by the main
official institutions that operate in Albania remains
the only procedure to create an idea about the aim of
the paper. As we all know, the database imposes the
usage of variables leading to or not in some strict
procedures. With the provided database, the possible
statistical tests and econometric model with p-value
=0.05, are going to be created to see how the
phenomenon exists in Albania.
2020; 5
2020; 56,3253012
0
10
20
30
40
50
60
70
80
90
100
2008 2010 2012 2014 2016 2018 2020 2022
Exp-28.2 Rev/Exp
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4.1.1 The Model and Its Variables
As Table 1 reveals, many authors use different
variables to show the impact of fiscal policy on
economic growth. Prevalence in different papers
takes the indirect taxes, [29], and marginal effects of
taxes, [30]. The variables used for the selected
problem are AS and economic growth, without
underestimating the other variables that distinguish
the fiscal policy. The secondary data gathered from
an international source, [31], also by national sources
like the Ministry of Finance, [5], and other official
institutions, [26], [27], during the period 1999-2021
are used to create the model. The variables for the
multiple linear regression equation are:
a) Output Gap (OG)- the difference between
potential GDP and real GDP.
b) Fiscal Impulse (FI)- the difference in the
government budget balance resulting from
changes in expenditures and tax policies.
c) Automatic Stabilizers (AS).
d) Expenditures Interests (IE).
e) Actual Overall fiscal Balance (AOFB)- the
difference between current revenue and
current expenditure.
The Pearson correlation test calculated among the
variables reveals indications as in Table 5.
Table 5. Pearson Correlations among the variables.
Variable OG
Variable AS
Variable FI
Variable AS
0.528
0.008
Variable FI
-0.042
-0.186
0.845
0.383
Variable AOFB
0.128
0.350
-0.371
0.541
0.093
0.075
Source: The author’s calculation, 2022
According to the Pearson coefficient between AS and
OG variables, the positive value of 0.528 or 52.8%
shows a positive relationship, whilst a negative
connection exists between the variables AS and FI by
0.186 points.
Furthermore, a negative correlation exists between
variables FI-AOFB and OG-FI. Taking into account
the p-value it is clear that only the correlation value
between OG and AS variable, for the individual
hypothesis test of correlation, attempts the target
value smaller than 0.05.
In regression analysis is used the Ordinary Least
Method (OLS), in which the residual (ɛ) sum of the
square is as small as possible. The dependent variable
will be OG as an indicator that shows the growth of
the economy, while explanatory variables are AS, FI,
AOFB, and IE. The resulting equation is as follows:
𝑂𝐺 = −1.11213 + 0.32 𝐹𝐼 + 0.4 𝐴𝑂𝐹𝐵 + 0.94 𝐼𝐸
+ 1.33824 𝐴𝑆 + 𝜀
It shows that the autonomous value of the dependent
value is negative (-1.11213), indicating the negative
trend of OG over time, despite the influence of the
explanatory variables.
Analysis of Variance revealed in Table 6 shows that
the AS variable has an impact on economic growth as
the p-value is lower than 0.05.
Moreover, the positive coefficient before the AS
variable indicates a direct relationship between AS
and OS. It means that a unit change on AS will result
in the same direction on the change of OG variable
by 1.33824.
For the dependent variable, OG is important to
emphasize that it is evaluated keeping as its target the
potential GDP of the country and its current value of
real GDP.
The differences between those data are the values of
the OG variable, respectively for each year.
Therefore, economic growth is estimated in the long-
run time. From this point of view, the influence of
variable AS seems profitable.
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Table 6. Analysis of Variance
Term
DF
Seq SS.
Adj.SS
Adj.MS
F
P
Regression
4
26.9494
26.9494
6.7373
3.11609
0.039518
Fiscal Impulse
(FI)
1
0.1214
3.8115
3.8115
1.76285
0.200001
Actual Overall
Fiscal Balance
(AOFB)
1
4.2853
6.0522
6.0522
2.79919
0.110697
Expenditures
Interest (IE)
1
9.7041
7.1802
7.1802
3.32094
0.084182
Automatic
Stabilizers
(AS)
1
12.8385
12.8385
12.8385
5.93795
0.024826
Error
19
41.0802
41.0802
2.1621
Source: The author’s calculation, 2022
The coefficient of the multiple regression model
shows that about 39.61 percent of the variation in the
OG variable can be explained by the influence of the
four explanatory variables: FI, AOFB, IE, and AS.
Figure 5 shows the scatterplot of OG and AS
variables with the residual plots and marginal plots
between them, emphasizing the convergence with the
conclusions above.
The marginal plot shows that values are on the right
side of the scatterplot, having almost positive signs of
values, and being included in a narrow segment. The
influence reveals positively inside a narrow range of
economic growth.
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Fig. 5: Visual Summary of the data model.
Source: The author’s calculation, 2022
5 Conclusion and Discussion
As the tax system is an essential factor that
determines the tax revenues and therefore automatic
stabilizers (AS), focusing on it was primary for the
aim of the paper. Albania has applied for about 12
years two different tax systems: the flat tax and the
progressive tax. The progressive tax system has
changed relatively many times, due to the influence
of some major events like the Earthquake, the Covid-
19 pandemic, and the Ukraine War. The analysis of
the two tax systems reveals some conclusions as
follows:
-1- The marginal effects of the two systems on
the economy are relatively the same.
-2- The progressive tax system helps people who
earn less, while the flat tax helps those who
earn relatively much more.
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-3- As a consequence of the simple formula
used in the flat tax system, bureaucratic costs
are lower than in the progressive tax system.
-4- For the salary segment [40.000-70.000] All,
the absolute difference between the two
systems remains constant at the level of
2.560 All.
-5- The Albanians do not recognize the relative
differences between the systems, indicating
over time lower levels of private
consumption.
-6- Although the progressive tax system has
changed to improve the economic situation,
that process leads to other asymmetric
information, especially in the labor market.
-7- An ambiguous impact on the employment
rate can be derived by changing the
minimum wage. The worst scenario will
reduce the young employment rate in the
country.
-8- The expenditures tend to increase after 2013
when the tax system changed.
-9- The tax rate of revenues tends to increase in
the progressive system than in the flat tax
system, remaining constant for almost 3
years up to 2018. Beyond this year, the ratio
variable TaxR/E is reduced deeply reflecting
the effects of major events that occurred in
the economy.
The AS variable includes some tendency of both
above variables (tax revenues and expenditures) and
is used to determine the effect of fiscal policy in the
economy. The variable is chosen because it is an
automatic fiscal tool and its implementation is done
without any bureaucratic cost. The results obtained
by the multiple regression model, using the OLS
method reveal a positive effect of the automatic
stabilizers (AS) on the economic growth of the
country. Some steps in the model include:
-1- The variable of the economy (OG) is created
taking into account the potential GDP,
therefore the problem is seen in the long-run
period.
-2- The marginal effect of tax revenues of both
the two tax systems remains in the model
unchanged and the conclusion is that the AS
variable has a narrow positive effect on the
economic growth of the country.
-3- The Pearson Correlation between AS and
OG variables reveals a positive sign with a p-
value less than 0.05.
Furthermore, the data shows a relatively constant rate
of the forecast process for both the two crucial
variables, tax revenues, and expenditures. Regarding
the fluctuations of the economy and the
overestimated forecast rates of the two main
variables, it is necessary to review again the
processes associated with good management of tax
revenues. The analysis of variables involved in the
problem shows the necessity to index the wages with
the rate of inflation and the reconsideration of the gap
between public and private wages,- for the
professions with the same skills. The fiscal steps
undertaken especially towards the labor market, such
as the rise of a minimum wage, should be well
appreciated because they can influence the rate of
unemployment. The ratio between skilled and
unskilled employees can easily be tangible,
especially for young people.
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Creation of a Scientific Article (Ghostwriting
Policy)
The author contributed in the present research, at all
stages from the formulation of the problem to the
final findings and solution.
Sources of Funding for Research Presented in a
Scientific Article or Scientific Article Itself
No funding was received for conducting this study.
Conflict of Interest
The author has no conflict of interest to declare that
is relevant to the content of this article.
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