IMPACT OF TAX REVENUE ON ECONOMIC
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GROWTH IN RWANDA FROM 2007 -2017.
BY
NZABIRINDA Etienne (MSc, ~CPA, Bed)
E-mail:
etienne.nzabirinda@gmail.com
Linkedin:
https://www.linkedin.com/in/nzabirinda-etienne-963176125/
Kigali November2019
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ABSTRACT
Rwanda is working tirelessly to achieve economic growth
and development. Taxation effective is the one tool to promote and to
accelerate economic growth and development, several studies analyses the impact
of tax on economic growth and economic development.
The objective of this study is to investigate the impact
of tax revenue on economic growth in Rwanda from 2007-2017. Secondary data were
sourced from Rwanda Revenue Authority (RRA) and National Institute of
statistics of Rwanda (NISR) for the period spanning from 2007Q1-2017Q4.
Descriptive data analysis was used and the variable considered here are: Gross
domestic product (GDP) as proxy for economic growth, direct tax (DT), Tax on
goods and services (TGS) and Tax on international trade and transaction (TITT).
Significant literature review for this study is available.
The results of the unit root and the co-integration tests
revealed that all variables are integrated of order one, I(1) and Johensen
cointegration test indicate existence of a long-run equilibrium relationship
among variables included in the model and we use also Vector Error Correction
Model (VECM) estimation method for data analysis to estimate for short run
result. The empirical findings showed that direct tax(DT)and tax on goods and
services(TGS) variables have positive at 0.1631 to 0.60 31 respectively impact
on economic growth, while Tax on international trade and transactions(TITT)
variable has negative at -0.005913 and it impacts on economic growth.
This study recommends that the policymakers within
government of Rwanda must improve both direct tax and tax on goods and services
(domestic tax) and increase Taxes on international trade transactions (customs
duties), it will harm economic growth of Rwanda therefore custom duties must be
rationally reduced or abolished and free trade zones like
Africa continental free trade area (AfCFTA) must create to foster increased
exchange of goods and services across borders.
Key Words: Tax Revenue, economic
growth, Gross domestic product, direct tax, tax on goods and services, tax on
international trade and transaction, VECM, Rwanda.
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CHAPTER-1 INTRODUCTION
1.1. BACKGROUND OF STUDY
Rwanda embraced economic growth, the power of any country in
economic growth and development is mainly depends on level of amount of tax
revenue generated to make economy more advanced.
Bruce et al (2006) point out that generating sufficient
revenue to finance government service delivery is the most important function
of a tax system. The government has to provide many goods and services to its
citizens such as health, education, and defense of the country, maintenance of
law and order and management of the economy.
Mustafa (2000) observes that as the economy grows, more people
and companies derive higher income and would therefore be liable to pay higher
taxes. Tax elasticity is an indicator of measuring the efficiency and
responsiveness of tax revenue mobilization in response to growth in the tax
base, GDP or national income. A tax is said to be elastic if tax revenues
increases more than proportionately in response to a rise in the tax base. If
the tax revenue shows less responsiveness to tax base, that type of tax base
fails to generate enough revenue for the government in the long run.
In line with its mandate of assessing, collecting, and
accounting for tax, customs and other specified non tax revenues, assisting
taxpayers in understanding and meeting their tax obligations thus raising their
compliance, Rwanda Revenue Authority also analyses long-term tax elasticity of
tax in relation to changes in GDP in order to highlight tax gaps within a
sector .
It is also in this framework that profitability benchmarking
based on business activities has to be done in order to identify areas of
irregularities in tax compliance hence taking actions for tax collection
optimization.
According to Azubike (2009), tax is a major player in every
society of the world.Taxation is most way to reduce foreign aid by mobilizing
internal government resource which lead to favorable conductive environment
which lead to economic growth promotion.
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Nzotta (2007) argues that taxes constitute key sources of
revenue to the federation account shared by the federal, state and local
governments.
That is why taxation system in Rwanda is divided into
decentralized tax and fiscal tax and others administrative fees from Rwanda
online known as Irembo.
Oxford Dictionary of Accounting (1995) defined taxation as a
levy on an individual or corporate body by the central or local government to
finance the expenditure of that government and also as a means of implementing
its fiscal policy.
Abomaye-Nimenibo(2017) is of the view that tax is a compulsory
contributions made by animate and inanimate beings to government being a higher
authority either directly or indirectly to fund its various activities and any
refusal is meted with appropriate punishment. He went on to say that Tax is an
involuntary payment made by a resident of a state in obeisance to levy imposed
by a constituted authority of a sovereign state at a particular period of time;
and that Taxation is the process put in place by government (which ever tier)
to exercise authority on and over the imposition and collection of taxes based
on enacted tax laws with which projects are financed. Taxation is therefore
seen as the transfer of resources as income from the private sector to the
public sector for its utilization to achieve some if not all the nation's
economic and social goals such as provision of basic amenities, social
services, educational facilities, public health, transportation, capital
formation etc.
However ,one of main function of government is to
infrastructure service development generation such as roads, schools, hospitals
,defense, pipe-borne water,... as well as ensure the rise of per capita income
and to achieve other macroeconomic factors such low unemployment, inflation,
Balanced of problem balance ,Economic growth, to reduce income inequality,..
For above service and argument to be efficient at optimum
level, government need sufficient resource to finance them. The task of
financing government expenditure and allocating national resource is main
responsibilities and challenges due to limited government resources .therefore
individuals, companies and government body must provide tax based on Rwanda
taxation law. Government always think how to modernized tax revenue by
reforming law . These law aim to ensure to promote tax compliance and to
discourage tax evasion and tax
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avoidance. The purpose of this study is to show the impact of
aid on economic development of Rwanda
1.1. THE PROBLEM STATEMENT
Rwanda and others countries globally especially in Africa are
nowadays facing series of challenges when it comes to optimizing tax revenue
and tax to GDP ratio for economic growth and development .While aiming to reach
sustainable development objectives. The most obvious difficult challenge is how
to find the optimal balance between a tax regime that is employees, business
and investment friendly while at the same time leveraging enough revenue for
public service delivery which in turn makes the economy more attractive to
financiers.
In addition, tax compliance in Rwanda is doubtable as many
prefer not to pay tax. As a result of the unwillingness to pay tax as well as
evading tax, the economy therefore continues to lose huge amount of revenue. If
this lost tax revenue came back into the economy and well utilized, can change
the wealth of the nation. In developing countries like Rwanda, this problem has
been persistent for so long which requires serious attention and solution.
Therefore, assessing the impact of tax revenue on development
in Rwanda from during 10years from 2007 to 2017 is a research work carried out
at the right time as there is an urgent need to examine more deeply and to look
into the relationship between direct tax , tax on goods and services and tax on
international trade and transaction on economic growth and development of
Rwanda in Rwanda. This study will not only guarantee improved revenue base for
the Rwanda but also take full advantage to African Tax Administration Forum
members and global economies. Therefore, this research work examines the impact
of tax revenue on economic growth in Rwanda by analyzing the tax gap in the
system over the years and so revealing the critical challenges that needs to be
outgrowth. Hence, the need for further study of the tax performance and its
influence on the economic development of Rwanda.
1.2. OBJECTIVE OF STUDY
The general objective of this study is to find out how extend
tax revenue impacts on economic growth in Rwanda from 2007 to 2017. The
specific objectives of the study are to:
i.
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To analyze the relationship between direct tax and economic
growth in Rwanda;
ii. To examine the relationship between tax on goods and
services and economic growth in Rwanda; and
iii. To find out the relationship between tax on international
trade and transaction and economic growth in Rwanda
1.4. RESEARCH QUESTIONS
The research question of this study is concern about what is
impact of tax revenue on economic growth in Rwanda from 2007 to 2017?
1.5. HYPOTHESIS
This research work is guided to know if tax revenue components
impact positively or negatively by developing null and alternative hypotheses
below: i. H0 : There is no positive
significant relationship between direct tax and economic growth in Rwanda
H1: There is positive
significant relationship between direct tax and economic growth in Rwanda
ii.H0: There is no positive
significant relationship between tax on goods and services and economic growth
in Rwanda
H1:. There is positive significant
relationship between tax on goods and services and economic growth in
Rwanda.
iii..H0: There is no
positive significant relationship between tax on international trade and
transaction and economic growth in Rwanda.
H1: There is positive
significant relationship between relationship between tax on international
trade and transaction and economic growth in Rwanda.
1.6 SCOPE OF THE STUDY:
The scope of this study covers critical examinations on the
impact of taxation on economic development. In order to analyze the
relationship between tax revenues and Gross Domestic
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Product, Quarterly data for the period of 2007Q1 to 2017Q4
were used for these two variables from RRA and NISR.
1.7 SIGNIFICANCE OF THE STUDY:
One of the most frequently discussed issues in Rwanda is how
to solve the economic hardship in the country and how Tax revenue induces
economic development. Also many elite people around the world wonder reason why
a country which is landlocked as Rwanda it's economy is green and it is not
heavily indebted country.
The study afforded us the opportunity to know the impact of
tax revenue in economic growth of Rwandan economy in 10 years
1.9 DEFINITION OF KEY CONCEPTS
CIT: it is an assessment levied by government on
profit of the company.
Development economics is a branch of
economics which deals with economic aspects of the development process in low
income countries.
Direct tax is set of Pay As You Earn (PAYE),
Taxes on Corporations & Enterprises and Tax on property (Property tax on
Vehicles)
Economic development is the process by which
the well-being of a nation improves because of progress in technology, progress
in science and also because of general economic growth and innovation for
country including Rwanda; it is the process by which a nation improves the
economic, political, and social well-being of its people.
Excise tax is a tax that is measured by the
amount of business done (not on property or income from real estate) excise.
Indirect tax, it is a tax levied on goods or services rather than on persons or
organizations. nuisance tax, sales tax.
Gross domestic Product (GDP) is a monetary
measure of the market value of all the final goods and services produced in a
period (quarterly or yearly) of time
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Income per capita is a measure of the amount of
money earned per person in a certain area.
Macro environment includes trends in gross
domestic product (GDP), inflation, employment, spending, and monetary and
fiscal policy.
MINECOFIN is Ministry of
finance and economic planning; it was formed in March 1997 from the joining of
the Ministry of Finance and the Ministry of Planning. This was done in order to
improve the co-ordination between the functions of finance and planning. In the
ministerial re-structuring of February 1999, the Ministry took on the function
of development cooperation from the Ministry of Foreign Affair.
Monetary policy is the macroeconomic policy
laid down by the central bank like national bank of Rwanda. It involves
management of money supply and interest rate and is the demand side economic
policy used by the government of a country to achieve macroeconomic objectives
like inflation, consumption, growth and liquidity.
National Bank of Rwanda, established by the
Law of 24th April 1964, came into force from 19th May 1964 with the aim of
fulfilling one of its main missions, namely the issuing of currency on the
Rwandan territory. Vision of national bank of Rwanda is to become a World-Class
Central Bank
Nontax means it is government revenue not
generated from tax such fine, fees, licenses, government rent, concession,
royalties,...
PAYE: A pay-as-you-earn tax or pay-as-you-go
is a withholding tax on income payments to employees.
PIT: It is tax imposed on individuals or
entities (taxpayers) that varies with perspective in come or profit
Profit Tax is composed by corporate income tax
(CIT) and personal income tax(PIT)
RRA is Rwanda Revenue Authority. It is
government body under Ministry of finance and economic planning (MINECOFIN)
which is responsible for Tax revenue matters.
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Socioeconomic status (SES) is an economic and
sociological combined total measure of a person's work experience and of an
individual's or family's economic and social position in relation to others,
based on income, education, and occupation.
Tax Avoidance: This can be describe as the
arrangement of tax payers' affairs using the tax shelters in the tax law, and
avoiding tax traps in the tax laws, so as to pay less tax than he or she would
otherwise pay. That is, a person pays less tax than he ought to pay by taking
advantage of loopholes in a tax levy (Samuel and Tyokoso, 2014).
Tax Base:Total of taxable assets, income, and
assessed value of property within the tax jurisdiction of a government. To
assess tax base we normally look at GDP, Population and taxpayer.
Tax Evasion: Tax evasion is a deliberate and
willful practice of not disclosing full taxable income so as to pay less tax.
In other words, it is a contravention of tax laws whereby ataxable person
neglects to pay the tax due or reduces tax liability by making fraudulent or
untrue claims on the income tax form, (Samuel and Tyokoso, 2014).
Tax Incidence: It offers to the effect of and
where the burden is finally rested.
Tax Rate The percentage rate at which tax is
charged. It can be Consumption Tax is a tax on the money people spend, not the
money people earn, Progressive Tax is a tax that is higher for taxpayers with
more money, A regressive tax is one that is not progressive, Proportional Tax
is the same as a flat tax.
Tax: A compulsory levy by the government on
its citizen for the provision of public goods and services.
Taxes on goods and services is the set of
Value Added Tax (VAT), Excise Duty, Road Fund, Mining Royalties, Strategic
reserves levy)
Taxes on international trade and transactions
is the set Import Duty, Other Customs Revenues, Infrastructure
development levy and others regular tax
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Tax-to- GDP ratio is an economic measurement
that compares the amount of taxes collected by a government to the amount of
income that country receives for its products (GDP).
The African Tax Administration Forum (ATAF)
is a platform promoting cooperation, knowledge sharing and capacity building
among African tax administrations. This is achieved, among other approaches,
through conducting and making available applied tax research that can be used
fruitfully by African tax administrations, policy makers, researchers and other
stakeholders.
The Fiscal Policy is the decisions taken by
the government with respect to its revenue collection (through taxation),
expenditure and other financial operations to accomplish certain national
goals.
VAT: Value Added Tax is a multistage tax
levied and collected on transactions at all
stages of sales and distribution.
Withholding Tax: This is tax charged on
investment income namely: rents, interest,
royalties and dividends, presently it is charged as the tax
offset
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1.10. ORGANIZATION OF THE STUDY
This study was divided into five chapters: Chapter one is
general introduction and it is composed by the background of the study,
Statement of the problem, Research hypothesis, Objectives of the study,
Rationale of the study, and the Scope of the study, crucial definition of
taxation and finally organization of this study.
Chapter two presents the literature in relation to the topic
under study, this chapter deals with the historical background of taxation in
general and Rwanda context, Conceptual framework, Theoretical framework and
studies related to this study.
Chapter three briefly highlights the various research methods,
simply this chapter indicates Data Collection, Sources of Data, Data Collection
Procedure, Data Processing and Data analysis. Chapter four presents data
analysis and interpretation of the results. It shows the index of data analysis
in a scientific way using software and various tools such as tables, graphs,
charts, etc.
Chapter five revealed summary of findings, conclusion and
recommendations. In this study, researcher will combine, both qualitative and
quantitative, so as to gain an insightful analysis of the relevant facts and
figures in explaining impact of tax revenue on economic growth in Rwanda.
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CHAPTER- 2 LITERATURE REVIEW 2.1 INTRODUCTION
The study observes the ideas or views of various authors who
took keen interest in the subject matter. Basically, the review was done on the
following sub-headings of historical background, conceptual framework,
theoretical framework, related case studies and summary of the literature
reviewed.
2.2 HISTORICAL BACKGROUND OF TAXATION IN GENERAL AND
RWANDA
CONTEXT
Taxation is said to have come into existence «from time
immemorial» without a specific mention of when exactly it evolved.
However, the origin of tax levies can be traced to the ancient cities of Greek
and Rome in modern literature; but from the Bible account, it has been as old
as the world. In these so called cities of Greek and Rome, taxes were levied on
consumption, saving, investment and properties (Abomaye-Nimenibo, 2017). From
the account of St. Mark's gospel (chapter 12:14-16), a disciple of Jesus Christ
precisely St. Peter was reported in the Holy Bible was confronted by the tax
authorities and he met Jesus Christ who commanded him to get money with which
Peter paid for himselve and the Lord Jesus Christ. St. Mathewgospel chapter
17:24-27 of the Holy Bible, stated that our Lord Jesus Christ Himself paid tax.
Furthermore, in Matthew 19:21 we see tax money having its functions to perform
in the society which enables government authorities to use in providing social
services that will be enjoyed by all the citizens of a country. Such social
services include the provision of health and education, maintenance of law and
order, provision of basic amenities and infrastructures etc. Tax payment is
therefore part of the price to be paid by sound members of an organized and
orderly society
In Rwanda, The history of taxation in Rwanda indicates that
the first tax legislation was inherited from colonial regimes. This tax
legislation included the Ordinance of August 1912, which established graduated
tax and tax on real property. There was another Ordinance on 15thNovember 1925
adopting and putting into application the order issued in Belgian Congo on
1stJune 1925, establishing a profits tax. This law was amended by law of 2nd
June 1964 establishing Direct tax on profit. A substantive law governing
customs was ratified on 17th July 1968 accompanying the Ministerial Order of
27th July 1968, putting into application the
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Customs Law. This law was amended from time to time in order
to comply with the changing economic environment. Such other legislative
instruments include the 1973 law governing property tax, the tax on license to
carry out trade and professional activities, the Law No. 29/91 of 28th June
1991 on sales tax (turnover tax) now repealed and replaced by the Law No.
06//2001 of 20/01/2001 on the Code of Value Added Tax (VAT). In 2005, the
parliament adopted law number No25/2005 of 04/12/2005 on tax procedures,
amending Decree-Law of December 28, 1973 relating to Personal Tax, Law No
06/2001 of January 20, 2001 on the Code of Value Added Tax and Law No 9/97 of
June 26, 1997 on the Code of Fiscal Procedures. Similarly, Law No 16/2005 OF
18/08/2005 2005 on direct taxes on income was adopted replacing Law No 8/97 of
26/6/1997 on Code of Direct Taxes on Different Profits and Professional Income,
and Law No 14/98 of December 18, 1998 establishing the Rwanda Investment
Promotion Agency, especially in its Articles 30, 31 and 34.
The parliament also adopted Law No. 21 of 18/04/2006
establishing the customs law, replacing the Law of July 17th 1968 concerning
the Customs law as amended and completed to date. However, on July 1, 2009,
Rwanda adopted the EAC Customs Management Act 2004, An Act of the Community to
make provisions for the management and administration of Customs and for
related matters
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2.3. CONCEPTUAL FRAMEWORK
The diagram below represents the independent and dependent
variables. Since there are many variables, the researcher shall concentrate on
three most important variables such as Independent variable, Dependent
variable, and Intervening variables. This conceptual framework interlinks those
three types of variables following their interdependence. It is clear that
direct tax, Tax on goods and services and international trade and transaction
as independent variable impact on the economic growth as a dependent
variable.
Independent variables
|
|
Dependent variables
|
|
|
|
|
|
|
-Direct tax ( DT)
-Tax on goods and services (TGS)
-Tax on international trade and transactions(TITT)
|
|
|
|
|
Economic growth(GDP)
|
Intervening variables
Fiscal Policy
Diagram1: Conceptual framework
Source: Researcher
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2.4. Theoretical framework
2.4.1Introduction on theoretical framework
This study review three theories of taxation: the cost of
service theory, the benefit theory and the socio - political theories of
taxation. According to the cost of service theory, the cost incurred by
government in providing certain services to the people must collectively be met
by the people who are the ultimate receivers of the service (Jhingan, 2009).
This theory believes that tax is similar to price. So if a person does not
utilize the service of a state, he should not be charged any tax. Some
criticisms have been leveled against this theory. According to Jhingan (2009),
the cost of service theory imposes some restrictions on government services.
The objective of government is to provide welfare to the poor. If the theory is
applied, the state will not undertake welfare activities like medical care,
education, social amenities, etc. furthermore, it will be very difficult to
compute the cost per head of the various services provided by the state, again,
the theory has violated the correct definition and tenets of tax, finally the
basis of taxation as propounded by the theory is misleading.
The limitations inherent in the cost of service theory led to
the modernization of the theory. This modification gave birth to the benefit
received theory of taxation. According to this theory, citizens should be asked
to pay taxes in proportion to the benefits they receive from the services
rendered by the government. The theory assumes that there is exchange
relationship or quid pro quo between tax payers and
government. The government confers some benefits on tax payers by providing
social goods which the tax payers pay a consideration in the form of taxes for
using such goods. The inability to measure the benefits received by an
individual from the services rendered by the government has rendered this
theory inapplicable (Ahuja, 2012).
The socio-political theory of taxation states that social and
political objectives should be the major factors in selecting taxes. The theory
advocated that a tax system should not be designed to serve individuals, but
should be used to cure the ills of society as a whole (Bhartia, 2009). This
study is therefore anchored on this theory.
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According to Bhartia (2009), a tax revenue theory may be
derived on the assumption that there need not be any relationship between tax
paid and benefits received from state activities. We shall accordingly
lookatsome of such theories as discussed below.
2.4.2. Socio-Political Theory
This theory of tax revenue states that social and political
objectives should be the major factors in selecting taxes. The theory advocated
that a tax system should not be designed to serve individuals, but should be
used to cure the ills of society as a whole.
2.4.3. Benefit Received Theory
This theory is based on the assumption that there is basically
an exchange relationship between tax-payers and the state because the state
provides certain goods and services to the members of the society, therefore,
members of the society should contribute to the cost of these supplies in
proportion to the benefits received (Bhartia, 2009). Anyanfo (1996),supports
this postulation by saying that taxes should be allocated on the basis of
benefits received from government expenditure.
2.4.4 Faculty Theory
According to Anyanfo (1996), this theory states that one
should be taxed according to the ability to pay. It is simply an attempt to
maximize an explicit value judgment about the
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distributive effects of taxes. Bhartia (2009), shares this
same view by arguing that a citizen is to pay tax just because he can, and his
relative share in the total tax burden is to be determined by his relative
paying capacity.
2.4.5 Expediency Theory
This theory asserts that every tax proposal must pass the test
of practicality. It must be the only consideration weighted by the authorities
in choosing a tax proposal. Economic and social objectives of the state and the
effects of a tax system should be treated as irrelevant (Bhartia,2009). Anyafo
(1996) and Bhartia (2009) explained that the expediency theory is based on a
link between tax liability and state activities. It assumes that the state
should charge the members of the society for the services provided by it. This
reasoning justifies imposition of taxes for financing state activities by
inferences, which provides a basis, for apportioning the tax burden between
members of the society. This proposition has a reality embedded in it, since it
is useless to have a tax which cannot be levied and collected efficiently.
Pressures from economic, social and political groups abounds
in every economy. Every single group tries to protect and promote its own
interests and by extension, authorities are often forced to reshape tax
structure to accommodate these pressures. In totality, the administrative set
up may not be efficient enough to collect taxes at a reasonable cost of
collection. Tax revenue therefore, provides a powerful set of policy tools to
the authorities and should be effectively used for remedying economic and
social ills of the society such as income inequalities, regional disparities,
unemployment, and cyclical fluctuations and so on.
Adolph Wagner advocated that social and political objectives
should be the deciding factors in choosing taxes. Wagner did not believe in
individualist approach to a problem. He stated that each economic problem be
looked at in its social and political context and an appropriate solution found
thereof. Accordingly, a tax system should not be designed to serve individual
members of the society, but should be used to cure the ills of society as a
whole. This theory relates to a normal development process and represents a
benchmark against which,a country's specific empirical evidence may be
compared.
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This study therefore focuses on the expediency theory which
enables us to assess the extent to which the Rwanda tax system conforms to this
scenario where the link between tax liability and economic activities are
linked. Where applicable, such a characterization will enhance accurate tax
revenue projection and targeting of specific tax revenue sources given an
ascertained profile of economic development. It will also assist in estimating
a sustainable revenue profile thereby facilitating effective management of a
country`s fiscal policy, among others. This is because the expediency theory
focuses on the fact that taxes are collected to achieve economic objectives
which enhances the growth and development of a society in all its spheres. The
socio-political, benefit and faculty theory are relevant also but they lay more
emphasis on political relationship and ability to be objectives.
2.4.6 Concept of Economic Growth
Beardshaw et al (2001) define economic growth as an increase
in the overall output of an economy over a given period of time; the overall
output of an economy is also called national product. Growth of an economy in a
given year is measured by the change in national output as a percentage of the
national output achieved in the previous year.
The Keynesian four sector expenditure approach model of
determination of national income explains how the equilibrium level of national
income is determined by adding up all expenditures made on goods and services
during a year. Income can be spent either on consumer goods or capital goods.
Again, expenditure can be made by private individuals and households or by
government and business enterprises. Further, people of foreign countries spend
on the goods and services from other countries. These various expenditures are
added up to obtain national income (as shown in Equation 3.1 below).
GDPMP = C + I + G + (X - M) (3.1)
Where
GDPMP = Gross Domestic Product (at Market Prices)
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C = Final private consumption expenditure (expenditure on
consumer goods and services by individuals and households).
I = Gross domestic capital formation or gross domestic
investment (expenditure by productive enterprises on capital goods and
inventories or stocks). This is divided into two parts: Gross fixed capital
formation and addition to the stocks or inventories of goods.
G = Government final consumption expenditure (government's
expenditure on goods and services to satisfy collective wants).
X = Export expenditure (expenditure made by foreigners on goods
and services of a country)
M = Import expenditure (expenditure by people, enterprises and
government of a country on goods and services produced in other countries)
The simple Keynesian model of income determination treats
government final consumption, gross domestic capital formation (investments)
and exports as autonomous expenditures. Private final consumption expenditure
and import expenditures on the other hand have a constant exogenous component
and that level of expenditure that depends on income (as shown in equations 3.2
and 3.3 below):
C = a +bY .. (3.2)
Where C is private final consumption expenditure;
a is autonomous consumption; and b is marginal propensity to
consume.
M = ??+mY (3.3)
Where ?? is autonomous imports and m is
marginal propensity to import. The equilibrium level of income in a three
sector model is thus given by:
Y =a +b(Y -T)+I
+G (3.4)
Where T is the lump-sum income tax.
Y -bY = a +bT +I
+G
1
Y = 1-b (a +bT +I
+G) (3.5)
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Differentiating equation 3.5 with respect to lump-sum tax T will
give us the effect of a change in T on income Y
S'
ST =
A [( 1
(a +bT +I +G ] AT 1-b
Equation 3.7 shows that tax multiplier, is negative meaning an
increase in lump-sum tax by
A
'will reduce equilibrium income by a
multiple.
A??
Incorporating proportional income tax (tax levied as a fixed
percentage or proportion irrespective of the level of income) into the three
sector Keynesian model of income determination, then proportional income tax
would mathematically be expressed as tY where tis the rate of proportion of
income which is payable as a tax. In a real economy, proportional income tax
may be imposed along with any lump-sum tax. Thus, the total tax
A'can be expressed as
A??
T= tY (3.7)
Where t= rate or proportion of income tax and Y = income.
Equilibrium income, Y = a +b(T-Ty) +I
+G (3.8) Y -by+bYt= a +I +G
1
Y= (a +I +G)
1-b-bt)
Y= 1 (a +I +G)
(3.9)
1-b(1-t)
Equation 3.10 shows that proportional income tax has a negative
multiplier effect on income.
Exports less imports (X - M) estimates net exports of a
country in a four sector model of income determination. The exports and imports
of a country depend to a great extent on the level of economic activity (that
is, the level of output and income of a country) in such a way that, as a
country's industrial output grows, it will generate greater demand for imported
materials and also cause the country's exports to rise provided there is
adequate demand for the output in foreign markets.
Page 21 | 48
The equilibrium level of output in a four sector economy is thus
given as:
Y =a +b(Y
-T)+I +G+[X -(M +mY)] (3.10)
Where T is constant lump-sum tax.
a +bY -Tb+I +G+X
-M -mY (3.11)
Y-by+My= a +bY -Tb+I +G+X
-M (3.12)
Y=
1-b+m
) (3.13)
1 (a +bY
-Tb+I +G+X -M
??
where the term
1-b+m
|
is known as the foreign trade multiplier whose value is
determined by
|
marginal propensity to consume (b) and marginal propensity to
import (m). Note that change in any autonomous factor of the model such as a,
I, G, X andM will cause a change in national
income by the amount of the foreign trade multiplier
[1
1-b+M] times the change in the
amount
of the factor. Thus, if exports increase by VY =
1-b ** VY.
+m
Incorporating proportional income tax in the four sector model
of income determination, then only the term of foreign trade multiplier will
change, the other terms of the model remaining the same. Thus, if income tax is
of form where is constant lump-sum tax, is the proportion of income that is
taken as tax. With the incorporation of proportional income tax, the value of
trade multiplier becomes: T= T +Ty where T is
constant lump-sum tax, t is the proportion of income that is
taken as tax. With the incorporation of proportional income tax, the value
of
trade multiplier becomes: ??
1-b(1-t)+m 1=
-b+tb+m (3.14)
1
Where t is the proportional income tax rate. With this
proportional income tax, the equilibrium income equation can be written as
1
Y=
1-b(1-0+m (a +bY
-Tb+I +G+X -M)
(3.15)
6y
67 =
-b
. (3.16)
??-??+????+??
Equations 3.16 and 3.17 shows that proportional income tax and
constant lump-sum tax have a negative multiplier effect on income.
2.4.7. ECONOMIC DEVELOPMENT
Rwanda embrace economic development since our nation is
experienced dramatic improvement in the sector of the economic, political, and
social well-being of its people. Economic development can also be referred to
the quantitative and qualitative changes in the economy
P a g e 22 | 48
Dafionone (2013), noted, «that for the country to lay
claim on growth and development through taxation, there must be an improvement
of the quality of life of the citizens, as measured by the appropriate indices
in economic social, political and environmental term.
2.5 RELATED CASE STUDY
In an attempt to evaluate tax revenue and economic development
of Rwanda, we are prone to utilizing regression analysis for the period of 2007
- 2017. It will therefore be worthwhile to look at the empirical literature.
Engen and Skinner (1996),also carried out a study of taxation
and economic growth of U.S. economy, using large sample of countries and
evidences from micro level studies of labour supply, investment demand, and
productivity growth. Their findings revealed modest effects on the order of 0.2
to 0.3 percentage and pointed differences in growth rates in response to a
major reform. They stated that such small effects can have a large cumulative
impact on living standards.
Brian (2007), analyzed the effects of tax revenue on economic
growth in Uganda`s experience for the period 1987 to 2005. From the study, tax
revenue was found to have had an impact on the economic growth level of the
country, with direct taxes having a positive effect while indirect taxes had a
negative impact. However, he stated that due to time, financial and data
constraints, not all essential issues could be analyzed. The issue arising from
this work is the fact that indirect taxes are not easily evaded when it comes
to payment because they are paid either at the time of consumption of the very
good or service and at source and so one expects that they should have a
positive impact on a country's' economic growth not negative as reported.
Babalola and Aminu (2011), also investigated the impact of
taxation on economic growth in Nigeria over the period 1977- 2009. They
examined the Unit roots of the series using the Augmented Dickey - Fuller
technique after which the co-integration test was conducted using the Engle -
Granger Approach. Error correction models were estimated to take care of
short-run dynamics. The overall results indicated that productive expenditure
did positively impacted on economic growth during the period of coverage and a
long-run relationship exists between them as confirmed by the co-integration
test.
P a g e 23 | 48
Ikem (2011), investigated the interaction between tax
structure and economic growth in Nigeria during the period 1961-2011. He made
his analysis using two different econometric models: the neoclassical growth
framework and Granger causality test in examining the level of impact and
direction of causality respectively. The growth model was decomposed during the
analysis into long run static equation and short run dynamic error correction
model. The results revealed that income and CIT is statistically significant in
promoting economic growth in Nigeria.
The impact of tax revenue on economic growth has been examined
severally by different researchers. The empirical studies of Anyanwu (1997),
Engen and Skinner, (1996), Tosun and Abizadeh, (2005) and Arnold (2011), were
used as the basis for different explanations of taxes on economic.
According to Karran (1985) the tax revenue raised by the
government depends to a large extent on the state of the economy; therefore the
relationship between tax revenue and economic growth is an issue of great
importance. Economic growth entails an increase in gross domestic product
overtime and is mainly linked to tax revenue through its effect on tax base. If
tax revenues are not sufficient to meet expenditure needs, the government must
resort to borrowing, printing money, selling assets, or slowing down the
implementation of development programs. All these actions generally damage the
economy, especially the poorest segment of the society.
Mansfied (1972) observes that high tax elasticity is a
desirable characteristic of a tax system since it allows growth in expenditure
to be financed by raising tax revenue without the need for politically
difficult decisions to raise the taxes.
Karran (1985) identifies three models of tax revenue change:
(i) Macroeconomic determination model, (ii) consumer preference model and (iii)
policy initiative model. Macroeconomic determination model holds that changes
in tax revenues are brought about by economic growth and inflation. Economic
growth may lead to increase in tax revenue by increasing the real value of the
tax base. Economic growth can also change purchasing patterns, thus altering
the revenues raised by particular taxes. Inflation has a direct effect on the
revenue yield of taxes.
If a tax base is measured in money terms and levied on a
percentage basis it is buoyant with respect to inflation; the increase in the
money value of the base increases the revenue yield.
According to Heinemann (2001) tax revenue may be linked to
changes in national income through fiscal drag. Fiscal drag describes the
phenomenon whereby inflation and economic growth push more tax payers into
higher tax brackets. This has the effect of raising tax revenue without
explicitly raising tax rates, or changing tax bases.
2.6 Relationship between Economic Growth and Tax
Revenue evolution from 2007 to 2017
2007Q1 2007Q3 2008Q1 2008Q3 2009Q1 2009Q3 2010Q1 2010Q3 2011Q1
2011Q3 2012Q1 2012Q3 2013Q1 2013Q3 2014Q1 2014Q3 2015Q1 2015Q3 2016Q1 2016Q3
2017Q1 2017Q3
2,500 2,000 1,500 1,000
500
-
|
|
|
|
|
Nominal GDP Total tax revenues
|
Source: Authors' computation based on RRA and
NISR data
P a g e 24 | 48
P a g e 25 | 48
During the past decade spanning from 2007Q1 to 2017Q4, Nominal
GDP was 484billion to 1985billion from 2007Q1 to 2017Q4 and Total tax revenues
was 54billion to 306 billion from 2007Q1 to 2017Q4.During the 2007Q1 to 2017,
the tax-to-GDP ratio has increased from 11.5 percent to 15.4 percent
respectively.
180
160
140
120
100
40
80
60
20
-
2007Q1 2007Q3 2008Q1 2008Q3 2009Q1 2009Q3 2010Q1 2010Q3 2011Q1
2011Q3 2012Q1 2012Q3 2013Q1 2013Q3 2014Q1 2014Q3 2015Q1 2015Q3 2016Q1 2016Q3
2017Q1 2017Q3
DT TGS TITT
Source: Authors' computation based on RRA
data
Looking at different components of each tax revenue, the figure 2
above shows that the taxes on goods and services from is the biggest
contributor with 28 billion to 166 billion from 2007Q1 to 2017Q4, direct taxes
is second with 19 billion to 126 billion from 2007Q1 to 2017Q4 and lastly tax
on international trade and transaction with 7 billion to 26 billion from 2007Q1
to 2017Q4
P a g e 26 | 48
CHAPTER 3: RESEARCH METHODOLOGY
3.1. Introduction
This chapter describes the methodology was done on the
following sub-headings of introduction, research design, theoretical framework,
Related case studies and summary, data collection techniques and tools, data
processing, methods of data analysis, limitation, ethical consideration and
model specification
3.2. RESEARCH DESIGN
A research design is a master plan specifying the methods and
procedures for collecting and analyzing the required information. Research
design is the plans and the procedures for research that span the decisions
from broad assumptions to detailed methods of data collection and analysis. The
overall decision involves which design should be used to study a topic.
Informing this decision should be the worldview assumptions the researcher
brings to the study; procedures of inquiry (called strategies); and specific
methods of data collection, analysis, and interpretation.
The selection of a research design is also based on the nature
of the research problem or issue being addressed, the researchers' personal
experiences, and the audiences for the study. ( Creswell,2008,P .3) According
to Grinner and Williams (1990,P.279), research design is the entire process of
the study, the problem formulation through dissemination of findings. It
sometimes used to refer to graphic presentation of the independent variables.
According to Churchill (1992:39), «a study design is simply the frame work
or plan for the study used as a guide in collecting and analyzing data».
The research design related to this study was based on the techniques set at
each objective to have all the objectives achieved.
3.2.2. DATA COLLECTION TECHNIQUES AND TOOLS
Data collection was done through the secondary Data. Rwanda
Revenue Authority(RRA) provides independent variable data as tax revenue and
National institute of statistics of Rwanda(NISR) provides nominal Gross
Domestic product spanning from 2007Q1 to 2017Q4.
P a g e 27 | 48
3.2.3. DATA PROCESSING
This thesis investigates the impact of tax revenue on economic
growth in Rwanda between 2007Q1 and 2017Q4. Many of economic and social changes
have been taken place in Rwanda during this period. It is very important to
analyze and evaluate the factors that affected the economic growth over this
period. The data for the study have been collected from Rwanda Revenue
Authority(RRA) and National institute of statistics of Rwanda( NISR). To find
out the impact of tax revenue on the GDP and to test the study hypotheses,
regression model were used to test the relation between the dependent and
independent variables. Therefore, multiple regression model were developed to
achieve the above objectives. In our model, GDP is the in dependent variable
while direct tax, tax on good and service and tax on international trade and
transaction are the independent variables. In this study we can analyze the
impact of tax revenue on the economic growth in Rwanda. The study covers Rwanda
Revenue Authority(RRA) and National institute of statistics of Rwanda(NISR)
quarterly data spanning from 2007Q1 to 2017Q4.
In this empirical study, data have been processed and
information related to the hypothesis and objectives of the study was taken
into account and transformed into meaningful data for easy interpretation and
understanding. This has been carried out by the use of e-Views package 8.
3.2.4. DATA ANALYSIS
3.4 TECHNIQUES OF DATA ANALYSIS
In analyzing the data gathered regressions model was employed
to establish the relationship between dependent and independent variables. The
study made use of economic approach in estimating the relationship between tax
revenue and economic growth. Vector error correction model (VECM) was employed
in obtaining the numerical estimates of the co-efficient in different equation.
The ordinary least square method was chosen because it possesses some optimal
properties. Its computational procedure is fairly simple
Page 28 | 48
3.8 LIMITATION
Like any other research, this research was encountered by the
difficulties such as; Inadequate funds to carry out the project, Personal
extremely effort to meet deadline.
3.9 ETHICAL CONSIDERATION
For those who interest to read Bible,Matthew 19:21 we see tax
money having its functions to perform in the society which enables government
authorities to use in providing social services that will be enjoyed by all the
citizens of a country. Therefore, we must have attitude and ethics to pay to
tax on time in order to build our nation.
3.10 MODEL SPECIFICATIONS
The method employed in this study, involves discussion of data
collection analysis techniques. We adopted a quasi-experimental research which
is purely analytical. In this study we used quarterly data covering the period
from 2007 to 2017, from the Rwanda Revenue Authority (RRA) statistical bulletin
and annual reports and National institute of statistics of Rwanda(NISR). The
economic growth variable is nominal GDP at current basic prices. The study uses
three independent variables: direct tax including tax on property, taxes on
goods and services, taxes on international trade and transactions including
others tax.
Authors such as Osoro (1993), Kusi (1998), Muriithi &Moyi
(2003) and Bilquess (2004) used the following models to estimate buoyancy and
elasticity:
Tt= aYt f3 e e t
(1)
The logarithm transformation of the equation (1) give
LnTtt = Lna+ f3LnYt + Et
(2)
Or Tax t = u0 + f3yt + et (3) Where
Tax t = log (Tt) and Yt = log (Yt) e:
Stochastic disturbance term
P a g e 29 | 48
In this this thesis, I am going to use the following models to
estimate long run tax revenue and
economic development in Rwanda: LnGDP = É(LnDT, LnTGS,
lnTITT,) (4) The estimable econometric model is shown in equation as
LnGDP = á + f31LnLDT + f32LnLTGS +f33LnLTITT + åt ..
(5) Where
LnGDP = Natural logarithm of Gross Domestic Product
LnDT = Natural logarithm of Direct tax
LnTGS = Natural logarithm of Tax on Goods and Services
LnTITT = Natural logarithm of Taxes on International Trade
Transactions
Dummy Variable for Direct taxes (DM_DT)
Dummy Variable for Taxes on goods and services (DM_TGS)
Dummy Variable for Tax on international trade and transactions
DM_TITT) f31, f32, f33 is regression parameters
åt is : stochastic error
Therefore,In order to capture short run dynamics, we estimate
Vector Error Correction Models (VECM)
3.11 DEFINITION OF VARIABLES AND THEIR EXPECTED
SIGNS
Definition of variables used, their estimation coefficients
and expected signs of each
explanatory variable.
Figure 2.definition of variable and expected
sign
Variable
|
Definition
|
Estimation coefficient
|
Expected Sign
|
GDPt
|
Gross domestic product can be defined as the
total monetary value of all finished goods and services produced within a
country's borders in a specified time period
|
This is the dependent variable
|
|
DTt
|
Direct tax is set of Pay As You Earn (PAYE),
Taxes on Corporations & Enterprises and Tax on property (Property tax on
Vehicles)
.
|
f31
|
Positive
|
TGSt
|
Taxes on goods and services is the set of
Value Added Tax (VAT), Excise Duty, Road Fund, Mining Royalties, Strategic
reserves levy)
|
B2
|
Positive
|
TITTt
|
Taxes on international trade transactions are indirect taxes
and include custom duties and other taxes on
international trade and transactions. These are imposed by
the government on trade transactions involving exchange of goods and services
between home country and foreign countries.
|
f33
|
Negative
|
Source: Author's computations
P a g e 30 | 48
P a g e 31 | 48
CHAPTER- 4 DATA ANALYSIS AND INTERPRETATION
4.1 Introduction
In this chapter, the researcher used to apply the econometrics
method in order to verify the research hypotheses of the study, the researcher
has developed different points like: summary statistics, correlation matrix,
specification of the model, expected signs, data processing, model estimation
and diagnostic tests by using the data of Rwandan economy on the period from
2007Q1 up to Q42017Q4.
4.2 SUMMARY STATISTICS
The table below summarized quantitative data using mean, median,
maximum, minimum,
standard deviation, skewness and kurtosis. The results are
displayed in Table 1 below. Table 1: Summary Statistics
|
LGDP
|
LDT
|
LTGS
|
LTITT
|
Mean
|
6.975523
|
4.043814
|
4.282138
|
2.590486
|
Median
|
7.040119
|
4.142989
|
4.303782
|
2.58242
|
Maximum
|
7.593374
|
4.835751
|
5.043064
|
3.243469
|
Minimum
|
6.182085
|
2.937524
|
3.322205
|
1.933846
|
Std. Dev.
|
0.388659
|
0.546176
|
0.499604
|
0.386691
|
Skewness
|
-0.30232
|
-0.32776
|
-0.23712
|
0.024329
|
Kurtosis
|
2.099475
|
1.923937
|
1.936236
|
1.779536
|
Observations
|
44
|
44
|
44
|
44
|
Source: Eviews 8,2019
The statistics from Table 1 is based on 44 Quarterly
observations from Q12007 to Q42017. Over the study period, natural logarithm of
Nominal GDP which is the dependent variable ranged between a maximum value of
7.593374 and a minimum value of 6.182085, with an average of 6.975523. It
recorded a standard deviation of 0.388659, indicating that the data cluster
scatted away the average. The natural logarithm of DT has a mean of 4.043814,
with sample ranging between 4.835751 and 2.937524. LDT had a higher standard
deviation of 0.546176 in the series. natural logarithm of TGS,
recorded the mean of 4.282138 with standard deviation of 0.499604 and a minimum
and maximum value of 3.322205 and 5.043064 respectively. natural logarithm of
TITT obtained the mean value of 2.590486 and the standard
deviation of 0.386691, a minimum value of 1.933846 and a maximum value of
3.243469.
4.3 CORRELATION MATRIX
Correlation matrix showed the Relationship between FDI dependent
and independent variables
Table 2 Relationship between FDI dependent and
independent variables
|
LGDP
|
LDT
|
LTGS
|
LTITT
|
LGDP
|
1
|
0.98334
|
0.99452
|
0.89571
|
LDT
|
0.98334
|
1
|
0.97934
|
0.88471
|
LTGS
|
0.99452
|
0.97934
|
1
|
0.90128
|
LTITT
|
0.89571
|
0.88471
|
0.90128
|
1
|
Source: Eviews 8,2019
Table 2 shows the relationship between the
dependent variable GDP with independent variables DT, TGS and TITT.The
correlation between GDP and DT, TGS and TITT is positive and significant. It is
noted that the highest relationship of 99.45% is exhibited by the correlation
between GDP and TGS. This implies that TGS is the most important variable
correlated with GDP for the period under consideration from Q12007 up to
Q42017. TGS in correlation with GDP is followed by DT and TITT respectively.
That is to mean that there is a relationship between independent variables with
GDP in Rwanda during the period of study. However, these preliminary results
are insufficient for reaching a conclusion, and further tests will be carried
out in the following subtopics.
4.4 UNIT ROOT TEST (TEST FOR STATIONARITY)
Unit Root Test is done to ascertain whether the variables used
in the model are normally distributed (stationary) or non-stationary (i.e. have
a unit root). This is done using the Augmented Dicker-Fuller (ADF) Test as
shown in Table 4.
Table 3: Augmented Dicker-Fuller tests for Unit Root at levels
Variable
|
AugmentedD ickey-Fuller test
statistic
|
MacKinnon( 1996) one sided pvalues
|
1% level Critical Value
|
5% level Critical Value
|
10%level CriticalV alue
|
Stationarity
|
LNGDP
|
-2.02191
|
-3.60099
|
-2.935
|
-2.60584
|
0.2767
|
Non-stationary
|
LDT
|
-2.75693
|
-3.60559
|
-2.93694
|
-2.60686
|
0.0737
|
Non-stationary
|
LTGS
|
-1.74149
|
-3.62102
|
-2.94343
|
-2.61026
|
0.4027
|
Non-stationary
|
LTITT
|
-1.27281
|
-3.59246
|
-2.9314
|
-2.60394
|
0.6336
|
Non-stationary
|
P a g e 32 | 48
Source: Author's Computation
All variables have unit roots (i.e. non-stationary) at 5% and 10%
levels of significance (as shown in Table 4) and are therefore are subjected to
1st differencing to meet the condition that there should be no unit
roots at 5 % and 10% levels of significance. .
Table 5: Augmented Dicker-Fuller tests for Unit Root after
1st differencing
Variable
|
Augmented Dickey-
Fuller test
statistic
|
MacKinnon
(1996) one
sided pvalues
|
1% level
Critical Value
|
5% level
Critical Value
|
10% level
Critical Value
|
Stationarity
|
LNGDP
|
-5.42252
|
0.0001***
|
-3.60099
|
-2.935
|
-2.60584
|
Stationary
|
LDT
|
-8.88959
|
0.0000***
|
-3.60559
|
-2.93694
|
-2.60686
|
Stationary
|
LTGS
|
-5.42252
|
0.0000***
|
-3.60099
|
-2.935
|
-2.60584
|
Stationary
|
LTITT
|
-8.0143
|
0.0000***
|
-3.59662
|
-2.93316
|
-2.60487
|
Stationary
|
***p<0.01
|
Source: Author's Computation
After subjecting all the non-stationary variables to
1st differencing, they all become stationary at 5% and 10% levels of
significance (as shown in Table 5). They are therefore integrated of order 1
meaning they are stationary at the 1st difference. The null
hypothesis that the variables
have unit roots at first difference is thus rejected and
conclusion made that the variables have no unit roots at 1st
difference.
4.5 COINTEGRATION TESTS
Cointegration tests facilitate to establish if there is a
long-term relationship between the
variables. Subject to proof of cointegration, that will be an
indication that the variables share a certain type of behavior in terms of
their long-term fluctuations. However before testing for cointegration, the lag
length to incorporate in the model will be selected empirically. This will
ensure that the model avoids spurious rejection or acceptance of estimated
results and to have standard normal error terms that do not suffer from
non-stationary, autocorrelation or heteroscedasticity, the results are reported
in Section 4.4.1.
P a g e 33 | 48
P a g e 34 | 48
4.6 LAG LENGTH SELECTION CRITERIA
The selection of optimal lag length is used in the estimation of
vector autoregressive (VAR)
model. This is important to avoid spurious rejection or
acceptance of estimated results. Table 3: Lag length
criteria
VAR Lag Order Selection Criteria
Endogenous variables: LGDP LDT LTGS
LTITT
Exogenous variables: C
Date: 11/02/19 Time: 13:20
Sample: 2007Q1 2017Q4
Included observations: 41
Lag
|
LogL
|
LR
|
FPE
|
AIC
|
SC
|
HQ
|
0
|
100.9893
|
NA
|
1.04e-07
|
-4.731184
|
-4.564006
|
-4.670307
|
1
|
227.5260
|
222.2108*
|
4.74e-10*
|
-10.12322*
|
-9.287330*
|
-9.818834*
|
2
|
241.8056
|
22.29014
|
5.28e-10
|
-10.03930
|
-8.534698
|
-9.491405
|
3
|
251.0213
|
12.58728
|
7.82e-10
|
-9.708356
|
-7.535045
|
-8.916956
|
* indicates lag order selected by the criterion
LR: sequential modified LR test statistic (each test at 5%
level)
FPE: Final prediction error
AIC: Akaike information criterion
SC: Schwarz information criterion
HQ: Hannan-Quinn information criterion
Table 5 Lag length criteria revealed that researcher should use a
maximum of 1 lag in order to
permit adjustment in the model and accomplish well behaved
residuals. Table 5 confirms the lag lengths selected by different information
criteria such AIC, SIC, Hannan-Quinn Information Criterion (HQI), FPE and the
Likelihood Ratio Test (LR) selected three lags, therefore the information
criteria approach produced agreeing results to adopt three lags. therefore, the
Johansen Cointegration Test is conducted using one lags for the Vector Auto
Regression.
4.7 JOHANSEN COINTEGRATION MODEL SELECTION
Table 6 shows the results of the Johansen Cointegration test
used to investigate whether there exists long-run relationship among the
cointegrating variables
TABLE 6: Cointegration Rank Test (Trace)
Unrestricted Cointegration Rank Test (Trace)
|
|
|
Hypothesized Trace 0.05
No. of CE(s) Eigenvalue Statistic Critical Value
|
Prob.**
|
None * 0.593373 63.0262
|
47.85613
|
0.001
|
At most 1 0.254132 25.2321
|
29.79707
|
0.1533
|
At most 2 0.198491 12.91741
|
15.49471
|
0.1179
|
At most 3 0.08268 3.624537
|
3.841466
|
0.0569
|
Trace test indicates 1 cointegrating eqn(s) at the 0.05 level
|
|
|
* denotes rejection of the hypothesis at the 0.05 level
|
|
|
**MacKinnon-Haug-Michelis (1999) p-values
|
|
|
Source: Eviews 8,2019
Table 6 revealed that Trace test indicates 1 cointegrating
equation at the 0.05 level of significant
Table 7: Cointegration Rank Test (Maximum
Eigenvalue)
Unrestricted Cointegration Rank Test (Maximum
Eigenvalue)
|
|
Hypothesized Max-Eigen 0.05
No. of CE(s) Eigenvalue Statistic Critical Value
|
Prob.**
|
None * 0.593373 37.79411 27.58434
At most 1 0.254132 12.31469 21.13162
At most 2 0.198491 9.292868 14.2646
|
0.0017
0.5169
0.2626
|
At most 3 0.08268 3.624537 3.841466
|
0.0569
|
Max-eigenvalue test indicates 1 cointegrating eqn(s) at the 0.05
level * denotes rejection of the hypothesis at the 0.05 level
|
|
Source: Eviews 8,2019
Table 7 revealed that Maximum Eigenvalue test indicates 1
cointegrating equation at the 0.05 level of significant.
Since both tests reveal that the variables under study are
cointegrating. therefore, these results reveal the existence of a long-run
equilibrium relationship between the variables.
4.8 ESTIMATED LONG-RUN MODEL
The estimation of the Long-run model helps in discussing some
classical tests like t-Test and
F-test, discussing about Adjusted R-squared (coefficient of
determination), but also in making a deeper analysis.
P a g e 35 | 48
Table 8: Long run relationship between dependent and
independent variables
Variable
|
Coefficient
|
Std. Error
|
t-Statistic
|
Prob.
|
C
|
3.748438
|
0.05855
|
64.02121
|
0.0000
|
LDT
|
0.163171
|
0.052121
|
3.130639
|
0.0033
|
LTGS
|
0.603103
|
0.061307
|
9.837459
|
0.0000
|
LTITT
|
-0.005913
|
0.034365
|
-0.172055
|
0.8643
|
R-squared
|
0.991228
|
Mean dependent var
|
6.975523
|
Adjusted R- squared
|
0.99057
|
S.D. dependent var
|
0.388659
|
S.E. of regression
|
0.037741
|
Akaike info criterion
|
-3.629615
|
Sum squared resid
|
0.056976
|
Schwarz criterion
|
-3.467416
|
Log
likelihood
|
83.85154
|
Hannan-Quinn criter.
|
-3.569464
|
F-statistic
|
1506.693
|
Durbin-Watson stat
|
1.333763
|
Prob(F- statistic)
|
0.00000
|
|
|
|
Source: Eviews 8,2019
Table 8 Shows the results of long run
relationship between dependent variable and the independent variables and it is
interpreted as follows:
The DT and TGS are two variables which were statistically
significant to influence GDP in Rwanda during the period of study.
The DT has been significant at 5% level of significance and
possesses expected positive sign in long run model, however the positive
cointegrating coefficient of 0.163171 shows a positive relationship between GDP
and the DT in that a 1% increase in DT would increase GDP to 0.163171 %. The
results confirm the expected sign, and this positive sign may mean that in the
long run, the biggest of host's country market is likely to encourage GDP. DT
is statistically significant in explaining changes in GDP, suggesting that DT
is an important factor in influencing Rwandan GDP.
The effects of TGS on GDP: TGS has a positive effect on GDP
and significant relationship with GDP in Rwanda at 5% level of significance.
the results show that increase in TGS by 1% leads to 0.603103% increase to GDP
in Rwanda.
P a g e 36 | 48
P a g e 37 | 48
TITT has a negative effect on GDP and not significant
relationship with GDP in Rwanda. TITT is statistically insignificant in
explaining changes in GDP during the period of Q12007 to Q42017.
The coefficient of determination: the coefficient of
determination (R2) is 0.99057. This means that 99.06% of variations in the
dependent variable GDP are explained by the independent variables considered in
the model.
The P-value of the F-statistic is 0.000000, which means the
overall model is statistically significant at 5% level of significance.
4.9 VECTOR ERROR CORRECTION MODEL
As the variables were non stationary at their levels
integrated of order I(1),stationary at first difference and cointegrated ,we
analyzed the short run relationship among them by formulating an error
correction model. The logic behind that model is to recover the long run
information lost by differencing variables by introducing an error correction
term gives the proportion of shocks accumulated in the previous period that are
corrected in the current period. The results of VECM are presented in the
following table.
Table 9: Vector Error correction model
Results
Dependent Variable: D(LGDP)
Method: Least Squares
Date: 11/02/19 Time: 14:20
Sample (adjusted): 2007Q3 2017Q4
Included observations: 42 after adjustments
D(LGDP) = C(1)*( LGDP(-1) - 0.798843352892*LDT(-1) +
0.060223872029
1*LTGS(-1) + 0.0334606747663*LTITT(-1) - 4.08820567175 ) +
C(2)
*D(LGDP(-1)) + C(3)*D(LDT(-1)) + C(4)*D(LTGS(-1)) +
C(5)*D(LTITT(
-1)) + C(6)
|
|
|
|
|
|
Coefficient
|
Std. Error
|
t-Statistic
|
Prob.
|
C(1)
|
-0.142323
|
0.07576
|
-1.878597
|
0.0684
|
C(2)
|
0.205349
|
0.172688
|
1.189129
|
0.2422
|
C(3)
|
-0.043396
|
0.046513
|
-0.932985
|
0.357
|
C(4)
|
0.026459
|
0.073927
|
0.357907
|
0.7225
|
C(5)
|
-0.008059
|
0.030651
|
-0.262929
|
0.7941
|
|
P a g e 38 | 48
C(6)
|
0.026192
|
0.006795 3.854348
|
0.0005
|
R-squared
|
0.127675
|
Mean dependent var
|
0.03194
|
Adjusted R-squared
|
0.006519
|
S.D. dependent var
|
0.027286
|
S.E. of regression
|
0.027197
|
Akaike info criterion
|
-4.239863
|
Sum squared resid
|
0.026628
|
Schwarz criterion
|
-3.991624
|
Log likelihood
|
95.03712
|
Hannan-Quinn criter.
|
-4.148873
|
F-statistic
|
1.053803
|
Durbin-Watson stat
|
1.884039
|
Prob(F-statistic)
|
0.401802
|
|
|
Source: Eviews 7,2019
Table 6 shows the findings of VECM and the results confirm
that only the speed of adjustment of the model is 14.2% with error correction
of -0.142323 and it is statistically significant at 10%. This implies that
14.2% of errors realized in the previous Quarter are corrected in the current
one. This means that each quarter 14.2% of disequilibrium errors will be
corrected due to any change from the equilibrium.
4.7 GRANGER CAUSALITY TESTS
Granger Causality tests clarified how the variables affect
(drive) each other. The results are
presented in Table 10 below.
Table 10: Granger Causality Tests
Null Hypothesis:
|
Obs F-
|
Prob.
|
CONCLUSION
|
LDT does not Granger Cause
|
|
|
|
LDT does not Granger Cause
|
LGDP
|
43
|
c
2.74474
|
0.1054
|
LGDP
|
LGDP does not Granger Cause
|
|
|
1.00E-
|
LGDP does Granger Cause
|
LDT
|
|
25.5152
|
05
|
LDT
|
LTGS does not Granger Cause
|
|
|
|
LTGS does not Granger Cause
|
LGDP
|
43
|
1.81716
|
0.1852
|
LGDP
|
LGDP does not Granger Cause
|
|
|
|
LGDP does Granger Cause
|
LTGS
|
|
9.12791
|
0.0044
|
LTGS
|
LTITT does not Granger Cause
|
|
|
|
LTITT does not Granger Cause
|
LGDP
|
43
|
0.00221
|
0.9627
|
LGDP
|
LGDP does not Granger Cause
|
|
|
|
LGDP does Granger Cause
|
LTITT
|
|
5.68013
|
0.022
|
LGDP
|
Source: Elaborated by research using eviews
8,2019
P a g e 39 | 48
In this section, the study seeks to establish if there is
evidence of a causal relationship between the variables of interest.
? Since P-value=1.00E-05 or 0.001% is less than 5%, we reject
null hypothesis of LGDP does not Granger Cause LDT in order to accept
alternative hypothesis of LGDP does Granger Cause LDT. therefore, the results
reflect that there is evidence of uni-directional causality from LGDP to
LDT.
? Since P-value=0.0044 or 0.4% is less than 10%, we reject
null hypothesis of LGDP does not Granger Cause LTGS in order to accept
alternative hypothesis of LGDP does Granger Cause LTGS. therefore, the results
reflect that there is evidence of uni-directional causality from LGDP to
LTGS.
? Since P-value=0.022or 2.2% is less than 10%, we reject null
hypothesis of LGDP does not Granger Cause LTITT in order to accept alternative
hypothesis of LGDP does Granger Cause LTITT, therefore, the results reflect
that there is evidence of uni-directional causality from LGDP to LTITT.
4.8 DIAGNOSTIC TESTS
In econometrics analysis the diagnostic tests are important to
check whether the assumptions of tradition regression are confirmed.
These tests included Normal distribution test,
Heteroscedasticity test, Autocorrelation test and
Stability test.
4.8.1 NORMALITY TEST
The hypothesis test is as follow
Ho: The residuals are normal distributed
H1 : The residuals are not normal distributed
The null hypothesis is rejected at 10% level of significant
4
2
9
8
7
6
5
3
1
Series: Residuals
Sample 2007Q1 2017Q4
Observations 44
Mean
Median
Maximum
Minimum
Skewness
Kurtosis
Jarque-Bera
Probability
|
|
P a g e 40 | 48
Figure 1: Normality test results
Source: Author's computation (2019) by Eviews
8
Std. Dev.
2.88e-16 0.003337 0.071187
-0.094099 0.036401 -0.499066
3.414288
2.141154
0.342811
Since the p-value 0.3462811 is greater than 10% level of
significance, we fail to reject the null hypothesis that the error term is
normally distributed at 95 % confidence interval and conclusion made that the
error term is normally distributed.
4.8.2 SERIAL CORRELATION LM TEST
Table 12: Serial correlation LM Test
Breusch-Godfrey Serial Correlation LM Test:
F-statistic 1.188804 Prob. F(1,35) 0.2830
Obs*R-squared 1.379702 Prob. Chi-Square(1) 0.2402
Source: Eviews 7,2019
Table 4.10 reports the results of the first diagnostic test of
autocorrelation. The null hypothesis (Ho) claims that there is no
autocorrelation while the alternative hypothesis (H1) claims the opposite. The
decision rule states that the null hypothesis (H0) should be rejected if the
p-value of observed R-squared is less than the 0.05 level of significance.
Hence, there is no presence of serial correlation in the estimated model, since
the p-value of the observed R-squared is 0.2402 which is greater than the 0.05
level of significance.
4.8.3 HETEROSCEDASTICITY TEST
Table 13: Heteroscedasticity Test result
Heteroscedasticity Test: Breusch-Pagan-Godfrey
F-statistic
|
0.919697
|
Prob. F(8,33)
|
0.5129
|
Obs*R-squared
|
7.657008
|
Prob. Chi-Square(8)
|
0.4677
|
Scaled explained SS
|
19.22575
|
Prob. Chi-Square(8)
|
0.0137
|
Source: Eviews 7,2019
|
|
|
|
Table 4.13 shows the results of the second diagnostic test of
serial correlation. the null hypothesis (Ho) claims that residuals are
homoscedasticity and the alternative hypothesis claims that the residuals are
heteroscedastic and thus the variance is not constant. The rejection rule
states that the null hypothesis should be rejected if the probability value of
observation R-squared is less than the 0.05 level of significance. Since the
probability of Chi-Square of 0.2402 is greater than 0.05, the test fails to
reject the null hypothesis of constancy of variance among the residuals in the
model, and thus are deemed to be homoscedastic.
4.8.4 STABILITY OF THE MODEL
20 15 10 5
0 -5 -10 -15 -20
|
|
|
2009 2010 2011 2012 2013 2014 2015 2016 2017
|
|
|
|
|
CUSUM 5% Significance
|
|
|
|
|
|
|
Figure 4. 2 cumulative sum model stability
Source: Author's computation (2019) by Eviews
8
By analyzing the above graph, it was clear that the model is
stable because the navigating blue line of graph does not cross the borders
(the straight lines represent critical bounds at 5% significance level); this
indicates that the GDP of Rwanda have been moving in a stable way from 2007 to
2017
P a g e 41 | 48
4.9 IMPULSE RESPONSE FUNCTION
The impulse response function IRF shows the dynamic properties
of the model .it facilitates to test the response of dependent variable to unit
shock of independent
variables.as it is presented in the
following tables of IRF, the vertical axis shows the deviation from the
baseline of the target variable in response to a change in one of the
regressors,the horizontal axis also indicates the number of years under which
the explained variable tends to be affected after any shock from one of the
independent variables.
Response to Cholesky One S.D. Innovations #177;
2 S.E.
.04
.03
.02
.01
.00
-.01
-.02
Response of LGDP to LGDP
1 2 3 4 5 6 7 8 9 10
Response of LGDP to LTGS
Response of LGDP to LDT
1 2 3 4 5 6 7 8 9 10
Response of LGDP to LTITT
.04
.03
.02
.01
.00
-.01
-.02
.04
.03
.02
.01
.00
-.01
-.02
.04
.03
.02
.01
.00
-.01
-.02
Figure 4.6. Impulse response of GDP to independent
variables. Figure 4.6 revealed that:
1 2 3 4 5 6 7 8 9 10
1 2 3 4 5 6 7 8 9 10
· Response of LGDP to LGDP means that, if one standard
deviation shock is given to GDP, how GDP shall be reacting. When one standard
deviation shock is given to GDP, GDP reacts positively.
· Response of LGDP to LDT means that, if one standard
deviation shock is given to LDT, how LGDP shall be reacting. When LDT has
positive or negative shock, LDT positively.
· Response of LGDP to LTGS means that, if one standard
deviation shock is given to LTGS, how LGDP shall be reacting. When one standard
deviation shock is given to LTGS, LGDP reacts positively.
· Response of LGDP to LTITT means that, if one standard
deviation shock is given LTITT, how LGDP shall be reacting. When one standard
deviation shock is given to LTITT, LGDP reacts negatively
Page 42 | 48
P a g e 43 | 48
CHAPTER -5 SUMMARY, CONCLUSION AND
RECOMMENDATIONS
5.1 INTRODUCTION
This chapter presents the summary, Conclusions and
Recommendations for further research 5.2 SUMMARY
The study examines tax revenue and economic development of
Rwanda from 2007to 2017. The theoretical literature upon which this work hinged
on included, socio-political theory, expediency theory, faculty theory and
benefit received theory.
Therefore, to achieve our objectives, data were collected on
gross domestic product (GDP), direct tax (DT), tax on goods and services (TGS)
and Tax on international trade and transactions (TITT) from Rwanda Revenue
Authority(RRA) and National Institute of statistics of Rwanda(NISR). The study
adopted the Johensen co-integration , The results of the unit root and the
co-integration tests revealed that all variables are integrated of order one,
I(1) and cointegrated indicating the existence of a long-run equilibrium
relationship among variables included in the model and we use also Vector Error
Correction Model (VECM) estimation method for data analysis to estimate for
short run result. The empirical findings showed that direct tax(DT)and tax on
goods and services(TGS) variables have positive at 0.1631 to 0.60 31
respectively and it impact on economic growth, while Tax on international trade
and transactions(TITT) variable has negative at -0.005913 and it is
insignificant impact on economic growth.
5.3 CONCLUSION
As conclusions , Johensen co-integration in analyzing the data
collected on gross domestic product (GDP), direct tax(DT),tax on good and
service(TGS) ,Tax on international trade and transaction(TITT) through
secondary source namely Rwanda Revenue Authority(RRA) and National Institute of
statistics of Rwanda(NISR), our result shows direct tax(DT),tax on good and
service(TGS have positive impact on the gross domestic product(GDP) in Rwanda
Whereas Tax on international trade and transaction(TITT) have negative impact
on the gross domestic product(GDP) in Rwanda.
P a g e 44 | 48
5.4 RECOMMENDATIONS
This study recommends that the policymakers within government
of Rwanda must improve both direct tax and tax on goods and services (domestic
tax) and increase Taxes on international trade transactions (customs duties),
it will harm economic growth of Rwanda therefore custom duties must be
rationally reduced or abolished and free trade zones like Africa continental
free trade area (AfCFTA) must create to foster increased exchange of goods and
services across borders.
Government of Rwanda should ensure that taxation is properly
managed in a manner that will accelerate economic growth, reduce inflation rate
and generate employment in the country.
Government should ensure that tax revenue is judiciously used
in the provision of basic Education, social security Schemes, Agriculture
development, Transportation, Primary Health Care, adequate Power Supply,
Construction of Roads and Bridges, National defense and security, among others
that will help the various sectors of the economy to grow and function very
well thereby enhancing the growth and development of the economy.
If economic growth and development has to be achieved in
Rwanda, then government revenue from tax should also be properly managed and
judiciously be expended to provide basic facilities to the taxpayers of
Rwanda.
i Government should use the revenue generated from tax
especially that of tax on goods and services to develop the domestic sector of
the economy especially in agriculture, health, education and national security
sectors
ii Government should sensitize the citizenry through awareness
campaign and enlightenment on the need to pay tax and not to evade it.
iii Government to encourage and also maintain on taxes
remittance to Government account via the e-payment system with will improves
tax on international trade and transaction components but also supporting the
cashless economy.
iv Rwanda Revenue Authority needed to implement policies that
will reduce the loop holes in tax laws which tax payers capitalize on to evade
tax. Like prohibiting tax
avoidance and tax evasion a punishable offence with serious
sanctions imposed.
P a g e 45 | 48
REFERENCES
Adam Smith (1776): The Wealth of Nations; London;
Everyman's LibraryLtd
BNR Economic Review Vol. 8
Engen E, Skinner J (1996): Tax revenue and Economic
Growth. National Tax Journal Vol. 49, No 4 (Dec 1996) pp
617:42
Engen, E and J. Skinner, 1996. Taxation and Economic Growth.
National Tax Journal 49.4: 617 - 642.
Islahi. A. 2006. Theory of Taxation and Its Relevance
Today
Lewis S. R Jr. (1984) Taxation for Development: Principles
and Application. New York. Oxford
NISR, 2018. Statistical Bulletin Published
Nzotta, S.M., (2007) Tax evasion problems in Nigeria:
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Odusola, A., (2006). Tax policy reforms in Nigeria. Research
paper No. 2006/03 United Nations University. World Institute for
Development Economics Research
Ogbonna G.N, Ebimobowei A (2011): Impact of Petroleum Revenue
and the Economy of Nigeria. Current research Journal of Economic Theory
4(2), Maxwell Scientific Organization.
Okpe, I. (1998), Personal income tax in Nigeria, Enugu
New Generation Books
Ola, C.S., (2001): Income Tax Law and Practice in Nigeria.
Heinemann Educational Books Nigeria Plc, Ibadan.
Olashore, O. (1999): Strategies for Economic Revival, The
Guardian Newspaper, Friday, July 23.
Olopade C. and D.O. Olopade (2010): The Impact of Government
Expenditure On Economic Growth and Development in Developing Countries:
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Enugu: Splahmedia Organization
Oyejide (1975) `Export and economic growth in Africa
countries,» Economic International 2:177-185.
RRA,2018 Statistical data
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Schumpeter, Joseph. 1942. The Theory of Economic
Development. Cambridge, MA: HarvardUniversity Press. University Press.
The Holy Bible-Mark 12:14 - 16 and Mathew 17: 24 - 27.
Umoru D. and Anyiwe M.A. (2013), «Tax Structures and
Economic Growth in Nigeria: Disaggregated Empirical Evidence».
Research Journal of Finance and Accounting, 4(2),65-79
Anyanwu, J. C. (1997). Nigeria Public Finance. Onitsha:
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Barnet, K., & Grown, C. (2004). Gender impact of
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Engen, E. M., & Skinner, J. (1996). Fiscal policy and
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2. Electronic resources
Rwanda Revenue Authority:
www.rra.gov.rw
Ministry of finance and economic planning:www.minecofin.gov.rw
National Bank of Rwanda :
www.bnr.rw
Rwanda National Institute of Statistics:
www.statistics.gov.rw
African Tax Administration Forum:
http://www.ataf.org
World bank group:
http://www.worldbank.org
APPENDICES
1. QUARTERS DATA USED FROM 2007Q1 to 2017Q4 in Rwandan
francs billion
Years
|
Nominal GDP
|
DT
|
TGS
|
TITT
|
Total taxes
|
2007Q1
|
484
|
19
|
28
|
7
|
54
|
2007Q2
|
519
|
25
|
30
|
8
|
63
|
2007Q3
|
547
|
21
|
30
|
8
|
59
|
2007Q4
|
571
|
22
|
34
|
7
|
63
|
2008Q1
|
575
|
25
|
35
|
9
|
68
|
2008Q2
|
653
|
36
|
36
|
10
|
82
|
2008Q3
|
715
|
30
|
43
|
11
|
84
|
2008Q4
|
750
|
32
|
47
|
14
|
94
|
2009Q1
|
753
|
31
|
46
|
14
|
91
|
2009Q2
|
741
|
36
|
43
|
13
|
92
|
2009Q3
|
776
|
32
|
47
|
8
|
87
|
2009Q4
|
828
|
36
|
49
|
9
|
94
|
2010Q1
|
819
|
43
|
50
|
9
|
101
|
2010Q2
|
818
|
37
|
50
|
7
|
94
|
2010Q3
|
866
|
39
|
56
|
9
|
104
|
2010Q4
|
908
|
43
|
61
|
9
|
113
|
2011Q1
|
930
|
49
|
61
|
11
|
121
|
2011Q2
|
968
|
49
|
65
|
9
|
123
|
2011Q3
|
1038
|
45
|
69
|
10
|
124
|
2011Q4
|
1055
|
54
|
69
|
11
|
134
|
2012Q1
|
1074
|
61
|
72
|
12
|
145
|
2012Q2
|
1109
|
68
|
72
|
13
|
153
|
2012Q3
|
1175
|
56
|
78
|
17
|
151
|
2012Q4
|
1205
|
65
|
76
|
13
|
154
|
2013Q1
|
1186
|
82
|
77
|
12
|
172
|
2013Q2
|
1224
|
79
|
84
|
12
|
175
|
2013Q3
|
1225
|
71
|
89
|
15
|
175
|
2013Q4
|
1293
|
78
|
91
|
15
|
185
|
2014Q1
|
1321
|
77
|
94
|
18
|
189
|
2014Q2
|
1354
|
86
|
112
|
17
|
215
|
2014Q3
|
1396
|
82
|
106
|
17
|
205
|
2014Q4
|
1395
|
84
|
100
|
17
|
201
|
2015Q1
|
1422
|
95
|
101
|
17
|
212
|
2015Q2
|
1457
|
102
|
120
|
19
|
240
|
2015Q3
|
1522
|
85
|
120
|
18
|
224
|
2015Q4
|
1567
|
92
|
129
|
23
|
244
|
2016Q1
|
1596
|
109
|
121
|
20
|
250
|
2016Q2
|
1636
|
107
|
139
|
22
|
269
|
2016Q3
|
1689
|
98
|
129
|
21
|
248
|
2016Q4
|
1751
|
108
|
129
|
22
|
259
|
2017Q1
|
1820
|
122
|
138
|
23
|
283
|
2017Q2
|
1869
|
122
|
148
|
26
|
296
|
2017Q3
|
1927
|
109
|
144
|
23
|
276
|
2017Q4
|
1985
|
126
|
155
|
26
|
306
|
P a g e 47 | 48
P a g e 48 | 48
SOURCE: Rwanda Revenue Authority( RRA)-Planning
and Research department and National Institute of Statistics in Rwanda(NISR)
DATA DESCRIPTION
GDP: Gross Domestic Product
DT : Direct tax (Pay As You Earn (PAYE)), Taxes on Corporations
& Enterprises and Tax on property(Property tax on Vehicles)
TGS: Taxes on goods and services (Value Added
Tax (VAT), Excise Duty, Road Fund, Mining Royalties, Strategic reserves
levy)
TITT: Taxes on international trade and
transactions (Import Duty, Other Customs Revenues, Infrastructure development
levy) and others regular tax
|