Government Of Malaysia Controlling Housing Speculative

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In chapter 1 and 2 it has already been discussed by way of introduction and Lending Value Rate (LTV), Real Property Gain Tax, Stamp Duty Fees and Base Lending Rate (BLR) are the ways to monitor or control housing speculative by government of Malaysia. This section is to examine research methodology and theoretical framework in order to understand the nature of the research problems. This framework is to test the relationship between independent variables and dependent variables. Questionnaire design and method of data collection will be discussed. At the same time, population and sample size will be covered in this chapter. Therefore, this study is to investigate and to understand the way of control or monitor by government of Malaysia in housing speculative whether effective. This selection of research methodology is very important in ensuring all information and data received will assist in meeting the survey objectives. This chapter focuses or the reason for and choices made in research design. The various stages of the research are as below. 1.Determining the Research Design 2.Type of Investigation 3.Identifying the Time Horizon 4. Data Collection Method Figure 3.1 Steps in Research Methodology With virtually all research there has to be some compromise between the ideal and the actual, and this project is of no exception. Despite setting out with very detail plans for the research design, various factors intervened and impacted on the methodology.

3.2 Theoretical Framework

Theoretical Framework is a collection of interrelated concept but not necessarily developed to become a confirmed theory. Thus, it is obviously critical in deductive, theory-testing sorts of studies such as (1) Applied versus Basis research (2) Exploratory versus Confirmatory research (3) Quantitative versus Qualitative research. In these studies, the theoretical framework should be very specific and well organised. The objective of the theoretical framework is to aim at the control or monitor housing speculative by government Malaysia whether effective. Schematically diagram of theoretical framework below represent the ways to monitor and control housing speculation by government of Malaysia.

Loan to Value Ratio

Base Lending Rate

Control or monitor

Housing Speculative

by government of

Malaysia.

Capital Gain Tax for Property

Increase Stamp Duty Fees

Dependent Variable Independent Variable

Figure 3.2: Schematic Diagram of the Theoretical Framework Generally, research can be categorized into two styles of variables which are dependent variable and independent variable. A variable is a concept that can vary or have more than one value. It certainly affect the outcome if any measurement taken. Hence, it is important to define the variables for the research purpose. The illustration above showed that the independent variables which consist of loan to value ratio, base lending rate, capital gain tax on property and increase stamp duty fees influences the direction and the volume of change of the dependent variable, which is the control or monitor housing speculative by government of Malaysia.

3.2.1 Independent Variables

Blundell and Stephen (1998) defined independent variables as the presumed cause of some changes in the dependent variables. In the scientific experiment, one cannot have a dependent variable without any independent variables. The independent variables of this research are the ways of loan to value ratio, base lending rate, capital gains tax on property and increase stamp duty fees.

3.2.2 Dependent Variables

Copper & Schindler (2003) mentioned that a dependent variable is a criterion or a variable that is to be predicted or explained. In this research, there is only one dependent variable which is the control or monitor housing speculative by government Malaysia.

3.3 Hypotheses

There are four hypotheses are being proved: Set No. Hypotheses SET 1 Ho There is not possible loan-to-value ratio to control or monitor housing speculative by government Malaysia. H1 There is possible loan-to-value ratio to control or monitor housing speculative by government Malaysia. SET 2 Ho There is not the way of Base Lending Rate to control or monitor housing speculative by government Malaysia. H1 There is the way of Base Lending Rate to control or monitor housing speculative by government Malaysia. SET 3 Ho There is not the way of Capital Gains Tax for Property to control or monitor housing speculative by government Malaysia. H1 There is the way of Capital Gains Tax for Property to control or monitor housing speculative by government Malaysia. SET 4 Ho There is not the way of using Increase Stamp Duty Fees to control or monitor housing speculative by government Malaysia. H1 There is the way of using Increase Stamp Duty Fees to control or monitor housing speculative by government Malaysia. Figure 3.3 Statements of Hypotheses

3.4Research Design

Kinnear and Taylor, (1996) define that research design is the basis plan that guide the data collection and analyzing phases of the research project.

3.4.1 Nature of Research

This research project was initially conceived as a piece of qualitative paper, based on exploring several sources which includes range from articles, journals, websites and texts to identify the research topic. As mentioned before, the research started in November which makes use the exploratory research to analyze the effectiveness of the ways to monitor and control housing speculation by government of Malaysia. Drawing on the literature review, a series of exploratory research carried out by the researcher in order to collect qualitative information in helping to build a conceptual foundation. Therefore, the researcher was explored various sources to gather in order to identify the research topic.

3.5 Research Approach

There were two sources of data collected for this research. The first stage of field research involved self â€"administered questionnaire. The questionnaires were distributed to the respondents chosen at random at various locations. Following the second stage involved secondary data which involved articles, journals, websites and texts.

3.5.1 Primary Data Research

Questionnaire Design

According to Coourh and Housden (1996), questionnaire research has four main purpose (1) to collect relevant data, (2) to make data comparisons, (3) to minimize bias and (4) to motivate the respondents. Following the literature review, questionnaires (refer Figure 3.0) were developed to determine the extent of the effectiveness of the ways to monitor and control housing speculation by government of Malaysia. The unstructured questionnaire can be divided into two sections. Sections A included 4 questions regarding the profile of respondents such as age, gender, marital status, education level, occupation and salary range. Section B require the respondents to analyze the effectiveness of the ways to monitor and control housing speculation by government of Malaysia. This is consists of the statements on the four independent variables which are loan to value ratio, base lending rate, capital gains tax on property and increase stamp duty fees and one dependent variable that are measured in the questions.

Sampling Design and Population

The current study explores the effectiveness of the ways to monitor and control housing speculation by government of Malaysia. The respondents involved in this research study were selected from the population with the specific target at those banker, accountant, auditor and tax agent in Penang and Kuala Lumpur. They were drawn from different background. There were 60 randomly selected respondents in this research study.

3.5.2 Secondary Data

The second stage of research consisted of review on the researches which had been carried previous researchers which were classed as secondary data. According to Webb (2002), secondary is data useful to secure reliable and valid information. There are several compelling reasons to do so. Firstly, to avoid bias of the questionnaire research, it makes good sense to exhaust secondary date for the purpose of providing guidance and satisfying the overall objectives of this research. This is because according to Green, Tull and Albaum (1998), secondary data may solve and obliterate the problem that may be encounter in primary research. Majority 80 percent of the secondary data are found through the internet, in professional journals and newspapers, in reference books from E-book written by giving true evidence. The information from secondary data can be accurate because it published and supported by researchers. Another 20 percent of the secondary data obtained from other resources. Using secondary data in this research are time saving and convenience compare with primary data. Besides that, primary data is also too costly. Hence, the research can be successfully carried out by using secondary data to support.
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