Corporate Governance in an International Context


The core purpose of this study is to conduct an empirical analysis so that insight can be obtained about the relationship between the board structure and composition and the companies’ performance. Thus, by the end of this research paper, an inference will be drawn on whether there exist any causal relationship between nature and composition and the performance of the company. In this case, the performance of selected companies will be measured by Return on Capital Employed (ROCE), Earning per Share (EPS) and the degree of internalization of the enterprise. On the other hand, the board data will entail; the size of the board, the proportion of non-executive directors, the proportion of women directors, the average age of the board, and a number of interlocking directorships. The analysis will be done to determine the relationship between the corporate governance characteristics and the firm performance.

In light of this, different statistical analysis will be conducted to arrive at a conclusive inference. A correlation analysis will be performed to establish the nature and strength of the relationship between different variables. The correlation coefficient is of great importance since it measures the linear association between the various variables. Thus, in this case, thecorrelation will help in determining whether the boards of director’s composition affect the performance of the United Kingdom. In addition, a regression analysis will be performed to come up with a model that shows the relationship between the dependent and independent variable. The regression equation will be based on the hypothesized relationship. If the developed model is deemed, it will be used in predicting the values of the dependent variable, using the values of independent variables.

The analysis will be based on the 30 UK listed companies, which will ultimately utilize the data from their annual report. In particular, these companies are randomly selected from the FTSE 250, which is an index composed of the 250 largest companies on the London Stock Exchange (LSE) list. These companies often are referred to as the ‘blue chip’. Thirty companies from the list will be drawn randomly, which is a probability sampling procedure. This is an ideal method of obtaining the sample, and also minimizing the researcher’s biasness. The data adopted will come from the annual reports, and importantly during the data cleaning any incomplete company will be dropped so as the final dataset will contain companies with all desired variables.


The fundamental of this study is based on the hypothesisthat are:

H0: There is a (positive or negative) relationship between the board structure and firm performance.

H1: There is no (positive or negative) relationship between the board structure and firm performance.

This hypothesis will act as blueprints in the analysis part (section). Furthermore, the hypothesis was also the key to the formulation of the research question, which is the backbone any successful research (Ho, & Carol, 2015). On the same, the research will seek to infer about the population characteristics based on the sample data provided at the 95% level of significance. Thus, at the end of this research, a conclusion will be made about the relationship between these variables.

Research question

The research question that will guide the whole analysis in this study is: is there any relationship between the board structure and firm performance? All the analysis performed therefore will seek to answer this research question. The end results of the analysis will be used to give a conclusive answer to this question. In that matter, firm performance in this study will be a dependent variable that board structure will be the independent variable.

Research objectives

The fundamentals of the analysis are to ascertain the existence of the relationship between the board structure and firm performance.

Limitation of the study

The research will focus on 30 UK companies listed within the FTSE 100, and all the data with missing observations will be dropped. Furthermore, the analysis will focus on finding whether there exists a relationship between these variables. In other words, the analysis will be correlation and regression analysis since they exclusively analyze the existence of a relationship between variables………………………………………….

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