Tax Revenue In Malaysia
|✅ Paper Type: Free Essay||✅ Subject: Economics|
|✅ Wordcount: 5288 words||✅ Published: 7th Jun 2017|
Part of: Tax
Malaysia is a federation of 13 States and the Federal Territories of Kuala Lumpur and Labuan. The Federal Constitution contains special provisions regarding sources of revenue that are assigned to the Federal and the State governments.Sources that are assigned to the State governments include revenue from land, forest, entertainment, mining, water supply, bank interests, returns from investments, fines including forfeitures (other than imposed by Federal Courts) and fees for licences and permits (but not licences relating to motor vehicles and registration of businesses). All the other revenues that are not specifically assigned to the states, are Federal Government revenues.
If you need assistance with writing your essay, our professional essay writing service is here to help!Essay Writing Service
Taxation become crucial economic tools to govern economics for any country. The pattern of tax revenues and economic growth accross countries has become a significant concern to Malaysian economists since Malaysia is one of the developing country with the rapid trend toward globalization and internationalization. Recently, Malaysia has performed well and shows the similar growth pattern in economy. Therefore, the fund collected from taxation in Malaysia are used by the government to provide facilities for its population and for the development of the country. Other than that income tax is one of the surest way to make sure that the government fund is available for spending.
Inland Revenue Board (IRB) has play their main role as an agent of Malaysian Government in administering, assessing, collecting, and enforcing payment of income tax and other revenue as may be agreed between Government and the Board. For many years, IRB has presumed that its activities promote better tax collection starting from Official Assessment System (OAS) until Self Assessment System (SAS).
Malaysia Federal Government revenues are broadly classified into three that is tax revenues, non-tax revenues and non-revenue receipts. Tax revenues include both Direct and Indirect Taxes. Direct taxes are collected by the Inland Revenue Board (IRB) and includes taxes such as income tax on individuals, income tax on corporations, petroleum income tax, stamp duty and real property gains tax. While for indirect taxes the responsibility of collection is taken by the Royal Customs and Excise Department. Indirect taxes include import duties, export duties, excise duties, sales tax, service tax and last but not least; goods and services tax (GST) that replace sales tax and service tax.
Non-tax revenues of Malaysian Government consists of fees for issue of licences and permits, fees for specific services, proceeds from sale of government assets, rental of government property, bank interests, returns from Government investments, fines and forfeitures. The non-revenue receipts consist mainly of repayments and reimbursements such as refunds of overpayments in previous years and repayment of loans from the Federal Government’s Consolidated Fund (Revenue Account) received from other Federal Government Agencies and State Governments.
The trend of tax collection in Malaysia is inconsistent, changing upward and downward depending upon economic conditions. However, over a 30 period, most years show an increasing incremental in total tax collection but sometimes has an exception. The exceptions are when there is an abnormal economic condition arise such as financial crisis, war or increase in world oil prices.
During the early stages of its development which is in year 1960, Malaysia similar with most developing countries relied heavily on indirect taxes accounted for 76.7% (Kasipillai, 2006). However as the economy developed and with the tax reform less reliance was placed on indirect tax which starting from year 1999 the major contribution to government revenue is come from direct tax (69%). In 2008 the collection of direct tax represents 52% of the Government total revenue (Economic Planning Unit, Ministry of Finance and Bank Negara Malaysia). It is believed that the encouraging growth in Gross Gomestic Product (GDP) in 2009 stood at 23% contribute positively to the national revenue collection (9MP).
After brief introduction the remainder of this paper is structured as follow. Chapter 2 provide some sort of literature review regarding all the variables included in this research. Chapter 3 consist of research methodology and design, data collection, theoretical framework, hypothesis statement, and data analysis. Chapter 4 provides data description and result analysis and finally Chapter 5 gives conclusions and recommendations of the study.
BACKGROUND OF STUDY
The main sources of income for government is tax. Tax is defined as a fee charged (levied) by a government on a product, income, or activity. If tax is charged directly on personal or corporate income, then it is called as direct tax. But if tax is charged on the price of goods or services, then it is called as an indirect tax.
Malaysia is a very tax friendly country. Income tax are comparaly low and many taxes which are raised in other countries, does not exist in Malaysia. All earnings of companies and individuals acccumulated in, derived from or remitted to Malaysia are liable to tax.
Government will used this tax revenues to fund all spending made by government in order to achieve an economic growth and also to promote a sound of economy.
Government will present their budget in Parliament around September each year. Determination of budget is based on estimation of government revenue and spending. If government’s revenue increase, there will be an increasing in the allocation for government spending. The tax rate is one of the components in government budget. The government will decide whether to increase or reduce the tax rate or to remain unchage based on the goals of government in each budget every year.
Malaysia is facing budget deficit every year since government expenditure exceed government revenue. If the government’s budget are not sufficient, some of the macroeconomic factors can’t be achieved. Government cannot reduce unemployment and inflation rate and also cannot increase the economic growth and promote currency stability if they cannot reach a sufficient budget to cover all the expenditure.
Tax is the main component of government revenue that will use to finance all the government expenditure to stabilize the economy. The expenditure here means the used of government’s revenue for the development and operational expenditure that will bring an economic growth.
This study is undertaken to discover factors determinant of tax revenue which are independent variables namely Gross Domestic Product (GDP), inflation rate, unemployment and openness (trade) on dependent variable which is tax revenue. It tries to grasp those variables volatility impact on tax revenue in a given economic environment and horizon.
Besides, this study was brought up to strenghten the prove of previous similar study. However, due to the changing environment of the economy, past researchers cannot be deem a suitable for current application. There is a need to revise the findings from the previous researchers, so it is consistent with current economic situation. The horizon of the research will cover from 1990 to the ending 2009. From this, all the independent variables are important towards dependent variable.
Therefore the problem statement for this study is which variables that have strongly positive significant relationship towards tax revenue?
In order to realize the factors determining tax revenue, this question must be taken into consideration.
The question is:
- What is the relationship between GDP and tax revenue?
- What is the relationship between Inflation rate and tax revenue?
- What is the relationship between Unemployment and tax revenue?
- What is the relationship between Openness and tax revenue?
This question must be taken into consideration because the questions will answer the overall study and to make sure whether the problem lies within this factor or the others factor.
OBJECTIVES OF STUDY
The general objective of this study is to identify the factors determine tax revenue in Malaysia from year 1990 to 2009 which is 20 years.
- To know what are the factors that will increase or reduce the total tax revenue collected by government.
- To determine whether GDP in Malaysia significantly affect tax revenue collected by government.
- To determine whether inflation in Malaysia significantly affect tax revenue collected by government.
- To determine whether unemployment in Malaysia significantly affect tax revenue collected by government.
- To determine whether the degree of openness in Malaysia significantly affect total tax revenue collected by the government.
SCOPE OF STUDY
The scope of study is as follows:
- This study focus on factors determining tax revenue collected by government. The data will be collected from 1990 to 2009 which is twenty years in yearly.
- Four variables are choosen which are GDP, inflation rate, unemployment, and openness.
- Software that used as a regression tool is Statistical Package for Social Science (SPSS) 16.0.
SIGNIFICANCE OF STUDY
This research study can help the researcher to determine the most significant independent variables to the dependent variable.
From this study, it can help the relevant parties to know which variables can give influence to the tax revenue collected government.
The findings from this research can provide the information to the other researcher for future research that is similar or related with this study.
LIMITATIONS OF STUDY
Cost is one of the limitations in doing this research because the researcher needs to bear all the cost and expenses in completing this research without getting any sponsorship. The cost that incurred such as stationeries expenses, photocopying, printing, transportation expenses and others are fully support by the researcher.
Choice of Variables
Choice of variables is the other limitation of the study. There have many variables that are determinants tax revenue and the researcher need to choose the exact variables so that it is suitable with the dependent variable. The variables that are choosen in this study are GDP, inflation rate, unemployment, and openness.
Data collection is one of the limitation of the study. The data covered a period of twenty years which is from 1990 to 2009 in yearly. Besides that, there have difficulties while choosing the exact journal and literature review that are strongly support all the variables.
Accuracy of Data
Accuracy also become a limitation of the study. Researcher used secondary sources in conducting this study to collect data. The secondary sources such as annual reports, books, article, journal that the researcher found from internet and library. So, the accuracy of data depend from all the secondary sources that found in various materials. It means that, the researcher trying to maintain the originality and quality of the journal but the data needed depend on the materials.
2.0 LITERATURE REVIEW
Gross Domestic Product (GDP)
Clausing (2007), analyze the impact of the size and the profitability of the corporate sector on revenues from corporate tax. The result of her regression analysis confirm that the share of the value added of the corporate sector, profit level GDP per capita and GDP growth have a positive impact on revenues from corporate tax, whereas the unemployment level has a negative impact.
Saeed et al (2010), have studied the impact of corruption index on the tax revenues over 27 developing countries and use annual data for the 2002 – 2006 periods found that GDP per capita is positive but it is significance at 12 percent level. The coefficient of the ratio of exports and imports (openness) to GDP is positive but not significance at even 10 percent level.
Gupta (2007), found that several structural factors like per capita GDP, share of agriculture in GDP and trade openness are statistically significant and strong determinants of tax revenue performance.
Tanzi (1992), in his research provide an evidence that tax revenue is negatively affected by inflation, the so-called Olivera-Tanzi effect. This inverse relationship is usually explained by the fact that the real value of tax revenue is erode by inflation, since it exists for some tax categories a time-lag between the date of imposition and the effective collection of these taxes. Therefore, by theoretically maintaining inflation at low levels, and therefore by increasing the real value of tax revenue, Inflation Targeting may attenuate the government’s tax collection effort.
Agbeyegbe et al (2004), in their research examine the deternminants of total tax revenue shares by two different measures of trade liberalization. Using the first measure of trade liberalization, although per capita income is not significant, agricultural share, industrial share, government consumption, and the terms of trade all exert a positive effect on total tax revenue, and inflation exerts a negative effect. However, using the second measure, they find a different pettern of results. Industrial share is positive and marginally significant. The real exchange rate and inflation are both negative and significant, suggesting that real exchange rate appreciation and higher inflation depress revenues, consistent with Tanzi’s hypotheses. Appreciation of the exchange rate and increases in inflation generally speaking lead to lower overall tax revenue, though the results vary by component of taxes.
Kubatova et al (2009), from their regression analysis found that the cyclicality of economic growth has a statistically significant impact on revenues from corporate tax. All of their examined factors (GDP growth, inflation and unemployment) were statistically significant. Along with the growth of GDP comes the growth of revenues from corporate tax. Inflation also has a similar effect. Conversely, higher unemployment leads to a decrease of the revenues from corporate tax. The cyclicality of the economy is therefore an important factor influencing the revenues from the taxation of corporations.
Christopher et al (2001), in their research examine the relationship between tax revenue, exchange rates, and trade openness in Sub-Saharan Africa, using a difference General Method of Moments (GMM) dynamic panel estimation. Although not a focus of their work, they proxy trade liberalization through an openness variable. They conclude that openness raises overall tax revenue in CFA franc countries while t has little effect in non-CFA franc countries, though the disaggregated revenue outcome suggest that it raises trade tax revenue and lowers goods and services tax revenue.
Baunssgard et al (2005), in their research found that openness is significantly positively related to domestic tax revenue, and aid per capita negatively so. The dummy indicates a significantly negative impact on domestic tax revenues, but interaction terms indicate a positive effect that increases with the level of national income and a negative effect (albeit in this case insignificant) that increases with openness.
Bretschger et al, in their research found that globalization captured by open has a positive impact on the measure of corporate taxation; the estimated parameter is significant in estimations. Openness is also positive in the same estimations but not significant. They conclude that only a change of the dependent variable from corporate tax to corporate share changes the key result.
Becker et al (2007),in their research found that tax rate has a negative but mostly insignificant impact on tax revenue. Whereas total trade (internationalization or openness) has significantly positive influence on tax revenues.
Qazi (2010), in his paper attempts to search the determinants of tax buoyancy of 25 developing countries. He found that growth in import and manufacturing sectors have positive and significant impact on tax buoyancy which shows with the increase in growth of import sector tax revenue collection increases through import duties, tariff, sales tax on import stage and withholding income tax at import stage.
3.0 RESEARCH METHODOLOGY
The method used to analyze the data in sthis study was Multiple Regression Correlation Analysis. A multiple regression analysis involves more than one independent variable. It will focus on a relationship between a dependent variable and one or more independent variable. The regression analysis help the researcher to understand how the typical value of the dependent variable changes when any one of the independent variable is varied, while the other independent variables are held fixed.
3.1 RESEARCH DESIGN
3.1.1 Purpose of Study
The purpose of this study is to determine the factors determinant tax revenue in Malaysia namely Gross Domestic Product (GDP), inflation rate, unemployment and openness.
3.1.2 Research Interference
Most of the data used in this study are obtained from the secondary sources from various resources that have been analyzed. The data are collected from an internet resources.
220.127.116.11 Accuracy and Data Reliability
Multiple regression analysis and a correlation research design are selected as the method of this study in order to investigate the variables that are associated with the problem. Two random variables are positively correlated if high values of one are likely to be associated with high values of the other and negatively correlated if high values of one are likely to be associated with low values of the other known as correlation. A statistical method used with one dependent variable and more than one independent variable known as multiple regression analysis. Thus, the accuracy and the data reliability of the data may partly depend on the published materials.
3.1.3 Study Setting
Secondary data from various resources have been analyzed. Research here is a field study where it is non contrive setting with minimial interference.
3.2 DATA COLLECTION
In completing this study, data is the most important thing needed. From the data collected, the researcher can make analysis and interpret the output to find out the result.
It refer to the data collected by someone for some other purposes. The sources include census reports, organizational records, surveys and annual reports. This secondary data used by the researcher to gain the idea and information to develop the literature review and complete this study.
18.104.22.168 Internet and website
The major sources that the researcher choose to find and gather journal that related with this study. This website are useful to the reasercher because help the researcher to gain the information about this study.
22.214.171.124 Library Research
The researcher find the journal and books through the library reserach. Some of the information from journals and published materials can be used as references to the researcher to get a better picture of the situation.
In this study, the data analysis need to be explained clearly. The data also consists of independent variable and dependent variable which is GDP, inflation rate, unemployment and openness . Pearson coefficient of correlation is used to the extent of relationship among different variables. All the data has been analyzed by using Statistical Package for Social Science (SPSS) program. The data will be examine by:
Coefficient of Determination (R-squared)
To know how well the independent variables explain the variation of the dependent variable in the regression.
Beta analysia (Coefficient)
To find out the relationship between independent variables and dependent variable. Does the relationship exist or not.
Identify significant relationship of each independent variable with the dependent variable
Testing the significance of the overall independent variables with the dependent variable
Standard Error of Estimation (See)
The objective is to identify whether a particular variableis significant at a certain level of confidence.
Beta Analysis (Coefficient)
Beta analysis is a measurement used in order to find out the relationship between independent variables and dependent variable does exist or not. Therefore, if the result is positive that means the independent variables can explain the changes in the dependent variable.
Coefficient of Determination (R²)
The coefficient of determination is a statistic that will give information the goodness of fit of model. It is a statistical measure of how well the regression line approximates the real data points. Is a descriptive measure between zero and one, indicating how good one term is at predicting another. The value of coefficient of determination is shown below:
Range of R² Strength of relationship
No relationship with dependent variable
0.1 to 0.5 Weak relationship between independent variables
and dependent variable
0.6 to 0.9 Dependent variable is strongly explained by
1 Dependent variable ia perfectly explained by
T-statistic is used to determine whether the significance between the dependent variable and the independent variables exists or not. If the computed T-stat is greater than book T-value, the independent variable is statistically significant or vice-versa. In order to get book T-value, the degree of freedom should be culculated at certain confidence interval.
The degree of freedom can be calculated as follow:
Degree of freedom = n – k – 1
Where: k = Number of Independent Variable
n = Number of Observation
The results for T-statistic:
Accept H1, reject H0
If the computed t-statistic is greater than the book T-value at certain significant level.
Reject H1, accept H0
If the computed t-statistic is lower than the book T-value at certain significant level.
F-test is an overall test of the null hypothesis that group means on the dependent variable do not differ. It is used when comparing statistical models that have been fit to a data set, in order to identify the model that best fit the population from which the data were sampled. F-test mainly arise when the models have been fit to the data using least squares. In order to get book F-value, it should be culculated at certain significant level.
Formula for book F-value is as follow:
Book F-value = Fα (k – 1, n – k)
α = Significant level
k = Number of Independent Variable
n = Number of Observation
k – 1 = Numerator
n – k = Denominator
The result for F-Statistics:
Accept H1, reject H0
If the computed F-Statistic is greater than the book F-value at certain significant level.
Reject H1, accept H0
If the computed F-Statistic is lower than the book F-value at certain significant level.
3.3.5 Standard Error of Estimation (See)
It is a measure of the dispersion of tthe data points from the regression line. It’s objective is to identify whether a particular variable is significant at a certain level of confidence. Standard error can be measured in two ways:
See = b
Degree of freedom
Df = n – k – 1
It is also useful in determining the range in which the dependent variable will point to a specified probability.
3.4 MODEL SPECIFICATION AND THEORETICAL FRAMEWORK
3.4.1 MODEL SPECIFICATION
Multiple Regression Analysis
This technique will focus on a relationship between a dependent variable and one or more independent variable. The regression analysis help the researcher to understand how the typical value of the dependent variable changes when any one of the independent variable is varied, while the other independent variables are held fixed.
TR = f ( GDP, Inf, Un, Op )
Multiple Regression Equation:
TR = a + b1 GDP + b2 Inf + b3 Un + b4 Op + É›
TR = Tax Revenue
GDP = Gross Domestic Product
Inf = Inflation Rate
Un = Unemployment
Op = Openness
The dependent variable in the above equation is tax revenue while the independent variables are GDP, inflation rate, unemployment and openness.
3.4.2 THEORETICAL FRAMEWORK
Based on the figure 1.0 above, it shows the relationship between the dependent variable which is Tax Revenue and the independent variables that includes Gross Domestic Product (GDP), Inflation Rate, Unemployment and Openness (trade). All these independent variables will be test to determine the relationship among these independent variables and dependent variables.
126.96.36.199 Priory Relationship
1. GDP and Tax Revenue : if GDP increase, the total tax revenue collected by government will also increase. This two variable have a positive relationship.
2. Inflation Rate and Tax Revenue : if an inflation rate increase, the total tax revenue collected by government will decrease. This two variable have a negative relationship.
3. Unemployment and Tax Revenue : if unemployment increase, the total tax revenue collected by government will decrease. This two variable have a negative relationship.
4. Openness and Tax Revenue : if the degree of openness increase, the total tax revenue collected by government will also increase. This two variable have a positive relationship.
3.5 HYPOTHESES STATEMENT
The purpose of the hypothesis statement is to illustrates which of the hypothesis is most affect the dependent variable. The hypothesis are:
H0 : GDP is not statistically significant to affect tax revenue in Malaysia
H1 : GDP is statistically significant to affect tax revenue in Malaysia.
H0 : Inflation is not statistically significant to affect tax revenue in Malaysia
H1 : Inflation is indeed statistically significant to affect tax revenue in Malaysia.
H0 : Unemployment is not statistically significant to affect tax revenue in Malaysia.
H1 : Unemployment is indeed statistically significant to affect tax Revenue in Malaysia.
H0 : Openness is not statistically significant to affect tax revenue in Malaysia.
H1 : Openness is indeed statistically significant to affect tax revenue in Malaysia.
CHAPTER FOUR: DATA ANALYSIS
4.0 DATA ANALYSIS
This chapter focuses on the data result analysis. All the data collected in this study were processed using SPSS program. SPSS program was used to analyze the data from the correlation and regression analysis. The method was used to analyze the data was Multiple Regression Correlation Analysis. A multiple regression analysis involves more than one independent variable.
The process of evaluating is the same with simple regression, but in order to derive the estimated regression, a computer is employed due to the complex nature of data and time required. The presentation of findings is made to examine the relationship among independent variables (GDP, inflation, unemployment and openness) and dependent variable (tax revenue).
This study used Multiple Regression Method Analysis which is the interpretation of Regression Analysis includes Beta Analysis (Coefficient), Coefficient of determination (R-Squared), T-statistic, F-statistic and Standard Error of Estimation (SEE).
4.1 INTERPRETATION OF DATA AND FINDINGS
4.1.2 Regression Equation
From the result obtained, we can derive the regression linear function as follows:
TR = f ( GDP, Inf, Un, Op )
Multiple Regression Equation:
TR = a + b1 GDP + b2 Inf + b3 Un + b4 Op + É›
TR = – 144980.369 + 13.481 GDP + 1657.557 Inf + 5860.522 Un
– 572.845 Op + É›
TR = Tax Revenue
GDP = Gross Domestic Product
Inf = Inflation Rate
Un = Unemployment
Op = Openness
4.2 RESULT OF FINDINGS
4.2.1 Coefficient of Determination (R-squared)
Coefficient of determination or R-squared measures what percentage of a change in the dependent variable can be measured or explained by the change in the independent variables. It is also explains the level of the explanatory power.
If R-squared = 0 (no explanatory power)
This means that none of the change in the dependent variable can be measured by the change in the independent variables. The estimated equation is useless.
If R-squared = 1 (full explanatory power)
This means 100% of the change in the dependent variable can be explained by the change in the independent variables.
From the results obtained, it shows that R-squared is 0.990. This means that 99% change in the dependent variable can be explained by the change in independent variables. However, 1% can be explained by other variables. This means that the dependent variable is strongly explained by independent variables. Besides, it also has an accepted higher explanatory power by 99%.
4.2.2 Beta Analysis (Coefficient)
Beta analysis is a measurement used in order to find out whether a relationship exists between the independent variables and the dependent variable.
1 unit increase in an unemployment will increase tax revenue by 5860.522 units. This is a positive relationship and not consistent with the economic theory.
1 unit increase in an openness will decrease tax revenue by 572.845 units. This is a negative relationship and not consistent with the economic theory.
Beta analysis for Gross Domestic Product (GDP)
From the results obtained, the increase in GDP will raised up the total tax revenue collected by government. This is because government imposed a higher tax rate for raw material that are imported from outside Malaysia. Therefore, the tax revenue collected from import duties is greater than export duties.
Beta analysis for Inflation
From the results obtained, the increase in inflation will increase the total tax revenue collected by government. This is because the inflation that arise in Malaysia does not seriously hit the Malaysian economic. Therefore people still afford to pay the amount of tax imposed by government to them.
Beta analysis for Unemployment
From the r
Cite This Work
To export a reference to this article please select a referencing stye below:
Related ServicesView all
Content relating to: "Tax"
Tax is the name given to a payment or other financial charge that taxpayers must pay. Governments impose taxes to generate money to put towards government spending, and anybody found to be evading tax will face legal punishment.
Tax Revenue In Malaysia
INTRODUCTION Malaysia is a federation of 13 States and the Federal Territories of Kuala Lumpur and Labuan. The Federal Constitution contains special provisions regarding sources of revenue that are as...
Goods And Services Tax In India Economics Essay
GST or the Goods and Services Tax is an indirect tax that brings together most of the taxes that are imposed on all goods and services (except a few) under a single banner. This is in contrast to the ...
DMCA / Removal Request
If you are the original writer of this essay and no longer wish to have your work published on UKEssays.com then please: