The operation of Tenaga Nasional Berhad in Malaysia
Tenaga Nasional Berhad (TNB) is the largest company that produces electricity utility in Malaysia. After privatization on 1990 through a corporatization and privatization exercise by the Malaysia Government of the National Electricity Board (NEB), TNB had a monopoly for the generation, transmission and distribution of electricity in Malaysia. However, TNB lost its monopoly in the generation and of electricity in the wake of 1992 nationwide blackout. As a result, TNB needs to end it’s monopoly in generation by encourage private sector participation. Though, TNB still maintains its monopoly in the transmission and distribution of electricity.
The electricity market consists of the sale of electricity to industrial, commercial, household, transportation, and other end-users, including agricultural (Datamonitor, 2010). Most utility companies did not have to deal with demanding consumers, since they were operating in a monopolistic environment. If the consumer demanded something that the utility provider did not really want to give, it was the consumer’s tough luck. (Hayes T. M. and Helms M. M., 1999) Monopoly is a circumstance in which one company supplies the entire market. (Blythe, 2006, p.20).
Economic and financial performance is defined by Bistriceanu G. O. (2001) as ‘a higher quality level of the economic and financial activity of private businesses that can be assessed with the help of several indicators, such as: turnover, return on equity, work productivity, capital yield, gross and net profits, annual fixed capital renewal rate, the efficiency of using fixed means etc.’ Profit margin, return on assets, return on equity, return on sales are common measures of financial profitability by Robinson (1982), Schendel (1983), (Dodgson and Rothwell, 1995), (Hitt, 2001) and (Harris and Ogbonna, 2001). However, Abu Kassim, et al. (1989) found that Malaysian manufacturing firm preferred financial measures such as sales, sales growth, net profit and gross profit.
Background of the Company
Before privatization of TNB, Central Electricity Board (CEB) was established on 1 September 1949. CEB was responsible to generate and distribute electricity supply. After implement several effort to develop electricity, CEB was renamed as National Electricity Board (NEB or LLN) on 22 June 1965. Between 1964 and 1982, NEB had combined the generation, transmission and distribution with the take over several facilities that were owned by private company and local government such as Huttenbachs in 1990 and Jabatan Bekalan Lektrik Majlis Perbandaran Pulau Pinang in 1964.
In accordance with government privatization policy, Tenaga Nasional Berhad was registered on 1 September 1990. All property right and responsibility of NEB was transferred to TNB. Through the license that has been issued by Ketua Pengarah Bekalan Elektrik to TNB, the company had started the operation. 2 years later, TNB had created a history when had been listed in Bursa Saham Kuala Lumpur (BSKL) now known as Kuala Lumpur Stock Exchange (KLSE) on 28 May 1992. TNB was one of the largest market capitalizations on the KLSE, stands out as one of the most successful privatization efforts by the Malaysian Government.
The TNB’s activities are first generating the electricity from the raw material such as coals, fuel, gas, hydro, solar and other sources. The latest was fiber optic. Then, transmit it through main entrance substation (pencawang masuk utama or PMU), main division substation (pencawang pembahagian utama (PPU), suis stesyen utama (SSU) and electrical substation (pencawang elektrik or PE). Lastly, distribute it to domestic and non – domestic customers. Then, the customers might pay the bills through cash, cheque, credit card, debit card and electronic fund transfer (EFT).
Currently the TNB Group has a complete power supply system, including the National Grid. For the convenience of customer, well manned Customer Services Centre, Call Management Centre and administrative offices throughout the Peninsular Malaysia and Sabah had provided the supporting service.
Through TNB’s subsidiaries, it also involved in the manufacturing of transformer, high voltage switchgears and cables the provider of professional consultancy services, architectural, civil and electrical engineering works and services, repair and maintenance services and fuel undertakes research and development, property development an project management services.
This research study is to measure the profitability of TNB. This study seeks then to determine which factor give the highest affect to the profitability most? This study also seeks to know what are the impacts of return on asset, return on equity and net profit margin on the profitability of TNB?
Objective of the study
To determine the factor that give highest effect to the independent variables.
To identify the relationship between independent variables and dependent variable.
Which factor give the highest effect to the dependent variables most?
What are the relationship between independent variables and dependent variable?
Limitation of the Study
As TNB is a monopoly company, so the company cannot be compare with any other competitive company in Malaysia.
Choice of variables
It is difficult to measure accurately the relationship of TNB’s profitability between return on asset, return on equity and net profit margin. These are not the only factors that contribute to the profitability of TNB. The researcher cannot deny that there may be some other variables that might effect the profit movement.
The data gathered in this research are only 12 years from 1999 to 2010. So it cannot be measured the results accurately and does not show the profitability from the years TNB was start operating.
Limited Knowledge and Skill
As student, the extent of knowledge and skill regarding the research paper is limited. Therefore, many difficulties or problems arise in the process of completing this research.
Scope of the Study
The selected company is Tenaga Nasional Berhad (TNB) and the scope is focusing in Malaysia. The study only focuses on the performance of the company by evaluating the profit trend of TNB. This company was chosen to determine the relationship of the selected variable with the profit of TNB for the past 12 years from the year 1999 to 2010. The factors that were defined as independent variables are return on asset (ROA), return on equity (ROE) and net profit margin (NPM). The dependent variable is the profitability.
Significance of the Study
According to Albu C., Albu N. (2004) the diversity of definitions of performance proves that it is used differently by the users of financial information, depending on their interests. Thus, managers are focused on the global performance of their company, the present and potential future investors understand performance as the profitability of their investments, employees are interested in company stability and profitability, creditors are interested in its creditworthiness, while clients are focused on company stability. Performance and value are the ideal pair for an efficient and modern management of companies and partnerships. ‘To measure performance means to appreciate value and to know value means to ‘translate’ performance. Following are the significance of the study for TNB.
This study is useful for TNB because they can identify which variable might give more profit to the company. So, they can concern more on that variable.
As a guideline to the management of TNB to maintain the organization’s performance from year to year.
It helps to increase the efficiency of management of TNB.
The government can understand the TNB profits behavior. So, the government can control the price setting to ensure the price was fair and avoid price discrimination.
To help the researcher to determine whether there is a positive or negative relationship between return on asset, return on equity and net profit margin on profitability.
Help the researcher to understand more about the performance of profitability in TNB.
This study might be as useful guidance or reference to the future researchers to make further research and analysis.
Through this study, the investors can think wisely whether they should invest in TNB or not.
Provides information to the public on the performance of profitability of TNB for each year.
Policy of the economy
Provide information about the main contributor to the economy of Malaysia.
As a guideline of the Malaysian economy to maintain the key contribution for the economy growth.
H0 : There is no relationship between profitability and return on asset
H1 : There is positive relationship between profitability and return on asset
H0 : There is no relationship between profitability and return on equity
H1 : There is positive relationship between profitability and return on equity
H0 : There is no relationship between profitability and net profit margin
H1 : There is positive relationship between profitability and net profit margin
Among several measures of business performance, profitability has been employed in many studies (Han et al., 1998; Narver and Slater, 1990; Pelham and Wilson, 1996; Slater and Narver, 1994), especially in those dealing with market-oriented firms because of their long-term focus on profits (Felton, 1959). Taken that many researchers have found consistency between subjective and objective approaches to measuring performance (Greenley, 1995).
Megginson W. L.,Nash R. C., Randenborgh M. V. (1994) claimed that profitability is the best single indicator that suggest an organization is doing things right as well as the primary measure of organizational success. Further, Doyle (1994) pointed out that profitability is the most common measure of performance in Western companies.
Mukhopadhyay A. and AmirKhalkhali A. (2010) pointed out that profit provides the funds for growth. A firm can grow internally through investments in development projects in various ways. For example, it can grow by taking advantage of internal economies of scale, or product and industry diversification, or geographical expansion at home and abroad. It can take advantage of technological opportunities to grow through research and development, leading to product and process innovations. Or, it can grow through mergers and acquisitions. But, in all these cases, availability of internal funds makes it easier for a firm to undertake the growth projects.
Return on Asset
Alrgaibat G.A (2010) had calculated the ROA by dividing a company's annual earnings by its total assets. Zantioti L. E. (2009) use in ROA in the study as independent variable. However, Alrgaibat G.A (2010), Ben Naceur and Goaied (2008), Kosmidou (2008), and Abbasoglu, Aysan and Gunes (2007), Salavou H. (2002), this study uses ROA as the dependent variable.
Hassan & Bashir (2003) mentioned in Alrgaibat G.A (2010) that ROA shows the profit earned per dinar of assets and most importantly, it reflects the management's ability to utilize the banks financial and real investment resources to generate profits.
Asset is one of the internal factor that determines the profitability of a firm. This can be proven with the statement of Larry Wall (1997), a firm’s profitability may be affected by numerous factors including its asset and liability portfolio management, its management, its management’s control over operations costs, its size, the connection in its local market and its luck.
Garner J. L., Nam J. and Ottoo R. E. (2000) agree that such an analysis would link a firm’s growth opportunities to the value of its existing assets. Thus, documented evidence on various cross-sectional relationship cannot be generalized to firms without large amounts of assets in place.
However, previous studies also ignore the relationship between total assets and profit of a company. For instance, Phil Molyneux, D. M. Lioyd, Williams and John Thornton (1992), except the total assets to be negatively related to the total revenue dependent variable since lower capital ratios should lead to higher firm revenue. The asset size of firm is included to take account of scale economies.
Anderson & Reeb (2003) and Costjens, Maxwell & Van der Heyden (2005) conducted empirical research by using accounting measures, such as Return on Assets (ROA). They found significant out-performance using ROA. Furthermore, the higher levels of ROA may be a result of higher effective costs of capital.
Return on Equity
Alrgaibat G.A (2010), Salavou H. (2002) and Zantioti L. E. (2009) also had calculated ROE through net income divided by equity, expressed as a percentage. Zantioti L. E. (2009) also used ROE in the study as independent variable.
Hovakimian, Hovakimian and Tehranian (2003) were reported that high stock returns increase the probability of equity issuance, but have no effect on target leverage.
The return on equity measures the return earned on the stockholder’s investment in the firm (Gitman, 2006).
(Al-Haji, Mohsen, 2003) Measured in terms of return on equity and return on total assets, Saudi commercial banks continue to generate some of the highest returns found among the financial institutions in the Gulf Cooperation Council (GCC) region and developed world. (Middle East Economics Digest 2002, p. 5). González F. found a positive influence of banks' equity investments on banks' profitability.
Net Profit Margin
According to Kemmerer J. E. and Lu J. (2008) pointed out that profit margins will typically swing significantly, from negative initially, to higher margins when sales are rising, and eventually flatten out and even decline toward negative when the market saturates.
From previous studies Ohlson (1995), Lev and Sougiannis (1996), Aboody and Lev (1998), Ely and Waymire (1999), Goodwin and Ahmed (2006), Kallapur and Kwan (2004) has included net income as independent variable in their research.
A company that has been profitable in the past is more likely to be profitable in the future Witell L, Kristensson P, Gustafsson A, And Löfgren M.
This chapter will explain the necessary method that will be used to conduct the study. The data and information was collected and analyzed to identify the research objective and question.
The research will attempt to analyze the relationship between the dependent variable and independent variables. By using the appropriate statistical method, the hypothesis will be tested whether it will be accepted or not. In this study, the statistical tool that will be used is Statistical Package for Social Science (SPSS). This statistical method offers an enhanced understanding of the relationship that exists among variables. The researcher use descriptive study. The purpose is to describe the variables of interest. This research conducted by using cross-sectional which is the data was observed one time only.
Sampling frame is the source from annual report of TNB which are from income statement and balance sheet of TNB.
The population can be describes as the subjects or participants who will take part in the study. The population must be defined clearly before a sample is taken. The population of this study was covered from annual report of TNB’s profitability, return on asset (ROA), return on equity (ROE), net profit margin (NPM) and from the articles that had been done by other researchers.
Unit of Analysis
The unit of analysis in this study is an organization which is Tenaga Nasional Berhad (TNB).
Type of Research
The research can be classified as a quantitative research because this study is conducted to measure the phenomenon, situation, problem or issue that occurred under this study. The information was gathered by using quantitative variables.
Sources of Data
Most of the data and information from this study were obtained from the secondary data which was the sources were already exists. However there is also data that gathered from primary data. All the data were gathered from the year 1999 to 2010. From this study, the researcher gathered the data from the internal and external sources of the organization such as:-
Encik Ayob bin Din, Pembantu Tadbir Tingkatan Tertinggi from Department Customer Services and Marketing (Perkhidmatan Pengguna dan Pemasaran)
Secondary data: Internal data
Annual report (1999 – 2010) of Tenaga Nasional Berhad (TNB)
Annual reports were gathered from TNB’s website under industrial relations. http://www.tnb.com.my/investors-media/annual-reports.html
Secondary Data: External data
Library books, textbook and references books
These books were used as a reference to any words, term and items in the articles that difficult to understand.
Most of articles were taken from internet and library. Most of the articles were from Economic, Mathematic and Statistics Journals.
Internet was used to find the related articles and meanings for better understanding from :-
The data that had been collected will be estimated by using the multiple regression analysis. The multiple regression analysis is a technique to measure the linear relationship between a dependent variable and the independent variables. To interpret the result in this study, several statistical methods were used such as coefficient of correlation (R), coefficient of determination (R2), T – Statistic (T-stat), F – Statistic (F-stat) and Correlation.
This study use secondary data. The data was retrieved from annual report of TNB. The data covers 12 years of income statement and balance sheet from the year of 1999 to 2010 respectively. From the income statements and balance sheets, the researcher will calculate the independent variables which are return on asset (ROA), return on equity (ROE) and net profit margin (NPM).
Return on Asset (ROA)
ROA gives an idea as to how efficient management is at using its assets to generate earnings. Return on assets indicates the capital intensity of the company, being useful to take into consideration the idea of trying to convert assets into profit. (Monea M., 2009). Calculated by dividing a company's annual earnings by its total assets, ROA is displayed as a percentage. (Alrgaibat G. A., 2010)
Return on Equity (ROE)
ROE measures the rate of return on the ownership investments. It measure company’s efficiency at generating profits from each monetary unit or net assets, being one of the most financial ratio, showing how well a company uses investments to generate earnings growth. It is an important ratio for owners and potential investors. (Monea M., 2009) Calculated by dividing a company’s annual earnings by its total equity. ROE is expressed as a percentage.
Net Profit Margin (NPM)
Net profit margin shows what percent of profit is made from sales (Monea M., 2009). It’s calculated by dividing the net income by total sales and expressed in percentage.
The multiple regression analysis was used in this study because this study involves more than one of the independent variables. To derive the estimated regression, the computer software is used due to the complex nature of the data and the time required. The data has been analyzed using the Statistical Package for Social Science (SPSS) software. Through this software, the computer can provide the result of standard error, coefficient values, R-squared, T-statistic, F-statistic and Correlation. Therefore, the data will be examined to:
Know how well the independent variables that have been chosen to fit the model using R-squared.
Analyze the relationship between each of independent variables on dependent variable using T-statistic.
Determine the combination of independent variables that can be used as predictors to the dependent variable by applying F-statistic.
Determine the correlation between a dependent variable and the independent variables whether there were positive or negative correlated by using Correlation.
(RM in million)
Table 1: The Trend of Data
The purpose of this trend analysis is to observe the trend of the profitability of TNB as the dependent variable. While, the Return on Asset (ROA), Return on Equity (ROE) and Net Profit Margin (NPM) are as the independent variables that also will be analyzed. This analysis is done based on 12 years period from 1999 until 2010. The trend analysis will be focus on:-
The relationship between profit of TNB and its Return on Asset (ROA) from 1999 to 2010.
The relationship between profit of TNB and its Return on Equity (ROE) from 1999 to 2010.
The relationship between profit of TNB and its Net Profit Margin (NPM) from 1999 to 2010.
The Profitability Trend
Source: Annual Report TNB (1999-2010)
Graph 1: Profitability Trends
Chart above show the profitability trends of TNB from 1999 to 2010. In 2007 show that TNB had the highest profit from other year. This was driven by various factors such as the implementation of the new tariff structure, foreign exchange translation gains and a 5.3 per cent increase in electricity demand. Net profit increased from RM1, 535.9 million to RM3, 514.5 million. However, the profit was started to go down a little bit in 2008 but still in the third highest driven by the benefit of the stronger ringgit or forex gain and stripping out the increase from the new tariff. The second highest is in 2010, this is due to stronger Ringgit against US Dollar and Japanese Yen. Besides, higher electricity sales because increase demand in industry and commercial sector. In 2009 show the lowest profit that the company face. The lower profit was resulted to the higher cost of coal paid to meet rising demand and a weaker Ringgit against US Dollar and Japanese Yen. The second lowest is in 2002, this due to adversely affected by the overall strengthening of the Japanese Yen during the period under review combined with the increase in fuel costs due to the shortage of gas.
Findings (interpretation of results)
Table 2: Model Summary
Coefficient of Correlation (R)
Coefficient of Correlation (R) is used to determine the level of relationship between a dependent variable and the independent variables. The value of the correlation analysis is ranged between -1 (perfect negative correlation) to +1 (perfect positive correlation).
The value is 0.999. The result shows that the correlation between two variables is strongly positive relationship.
Coefficient of Determination (R2)
Coefficient of determination (R2) is used to determine how well the regression fits the data. The objective is to test the goodness of fit.
From the table above, R-squared is 99.8% of the dependent variable (net profit) can be explained by the independent variables (ROA, ROE and NPM). This indicates that the R-squared is near to 100%. So, the model is fit.
The remaining 0.2% cannot be explained by this regression analysis. The factor might be due to other important independent variables which are not being included in this study. Therefore, the regression equation is acceptable.
Adjusted R-squared is a standard, arbitrary downward adjustment to penalize for the possibility that, with many independents, some of the variance may be due to chance. More the independent variables will be more the adjustment penalty. Since there are only three independent variables here, the penalty is minor.
ANOVA (Analysis of Variance)
ANOVA was used to test the overall significance of the models which are ROA, ROE and NPM.
Table 3: ANOVA
Significant level of the correlation 0.000, normally written as p < 0.001.
The table above show that the p = 0.001 (p < 0.05), so there are significance different between ROA, ROE and NPM.
Critical F – Value
F - Statistic
F – Value Table
Table 4: F - Statistic
Denominator = n-k = 12 – 3 = 9
Numerator = k-1 = 3 – 1 = 2
At 5% of P – value, the critical F – value was 4.257.
Based on the table, the F-Statistic is 1424.8. At 5% of P - Value, the calculated F - Statistic was greater than the F - Value table which is 4.257. Therefore, there is a statistically significant.
Table 5: Coefficients
The equation for Multiple Linear Regression Model:
Profit = - 40.309 + 96661.897 ROA + 1130.566 ROE
S.E (39.434) (2807.554) (2180.507)
– 12985 NPM
Table 6: Regression Coefficient
Return on Asset (ROA)
When the ROA increases by RM 1, the Net Profit will be increase by RM 96661.90. This indicates that there is a positive relationship between ROA and Net Profit.
Return on Equity (ROE)
When the ROE increases by RM 1, the Net Profit will be increase by RM 1130.57. This indicates that there is a positive relationship between ROE and Net Profit.
Net Profit Margin (NPM)
When the NPM increases by RM 1, the Net Profit will be decrease by RM 12985.00. This indicates that there is a negative relationship between NPM and Net Profit.
T – Statistic
T-statistic is used to determine the significant relationship between the dependent variable with each of the independent variables.
T – Tabulated
Table 7: T – Statistic
Number of observation = 12
Degree of Freedom = number of observation - number of independent variable – 1
= 12 – 3 – 1
At 95% of confidence interval, the critical T – Statistic was 1.8595.
Based on the table, the T-Statistic is 34.429. At 95% confidence interval level, the calculated T - Statistic was greater than the T – Tabulated table which is 1.8595. Therefore, there is a significant relationship between ROA and Profitability.
As a result, H1 will be accepted, H0 is rejected.
Based on the table, the T-Statistic is 0.518. At 95% confidence interval level, the calculated T - Statistic was lower than the T – Tabulated table which is 1.8595. Therefore, there is an insignificant relationship between ROE and Profitability.
As a result, H1 will be rejected, H0 is accepted.
Based on the table, the T-Statistic is -8.472. At 95% confidence interval level, the calculated T - Statistic was greater than the T – Tabulated table which is 1.8595. Therefore, there is a significant relationship between NPM and Profitability.
As a result, H1 will be accepted, H0 is rejected.
Chart 1: Normal Plot
The chart above shows the plot is near the normal line. So, it scattered normally.
Chart 2: Scatterplot
The scatterplot above shows the randomization. So, it follows the assumption of linearity. There is no clear relationship between the residual and the predicted value. Thus, it’s consistent with the assumption of linearity.
The correlation table below is to measure the strength and the direction of the relationship.
Table 17: Correlation
correlation coefficient = r
Significant level of the correlation 0.000, normally written as p < 0.001.
Correlation between ROA and ROE
Correlation analysis show that H0 is not supported. This mean there is a significant relationship between ROA and ROE. (r = 0.936, p < 0.001)
Correlation between ROA and NPM
Correlation analysis show that H0 is not supported. This mean there is a significant relationship between ROA and NPM. (r = 0.912, p < 0.001)
Correlation between ROE and NPM
Correlation analysis show that H0 is not supported. This mean there is a significant relationship between ROE and NPM. (r = 0.979, p < 0.001)
Which factor gives the highest effect to the dependent variable most?
The factor that gives the highest effect to the Profitability was Return on Asset. This is because ROA was significantly positive relationship to profitability in linear regression.
What are the relationship between independent variables and dependent variable?
Return on Asset and Net Profit Margin have strongly relationship with the Profitability. However, the Return on Equity has no relationship with the Profitability.
Return on Asset and Profitability
Return on Asset has strongly positive relationship because mostly TNB have owned a lot of fixed assets such as property, plant and equipment. Besides that, TNB has received increasingly in receivables, deposits and prepayment from year to year. TNB also had efficiently in managing its ROA. From total asset TNB earn profits. For an example, by transmit the electrical supply from main entrance substation (pencawang masuk utama or PMU), main division substation (pencawang pembahagian utama (PPU), suis stesyen utama (SSU) and electrical substation (pencawang elektrik or PE). Then distribute it to customers. TNB Sungai Petani can sales the electrics per month around RM 30, 000, 000.00 for around 100, 000, 000 units. So, this proves that TNB can earn profits from the total assets. Anderson & Reeb (2003) and Costjens, Maxwell & Van der Heyden (2005) also found significant out-performance using ROA.
Net Profit Margin and Profitability
Net Profit Margin has positive relationship to profitability. However, it has negative relationship when increases by RM 1, the Net Profit will be decrease by RM 12985.00. This is might cause by increases in sales and other expenses. This is also might due to the cost per unit of TNB. This mean the price of raw materials might be fluctuating every time. May be the cost of coal paid was higher to meet rising demand. Besides that, TNB had import the coal from outside the country such as from US and Japan. So, the foreign exchange currency might be depreciated. TNB cannot simply increase the tariff price. Besides that, TNB recently took a long-term loan to increase its production capacity such as building a hydroelectric dam and transmission project. So, the NPM will significantly be reduced. However, that does not means that the TNB is less efficiency.
Return on Equity and Profitability
Return on Equity has no relationship to profitability because it may not contribute too much to profitability. May be the organization requires large infrastructure building before generating any revenue. So, the TNB need to reduce its ROE. For an example, a place to build a dam, hydroelectric dam, offices, main entrance substation (pencawang masuk utama or PMU), main division substation (pencawang pembahagian utama (PPU), suis stesyen utama (SSU) and electrical substation (pencawang elektrik or PE) and others. Usually, the organization with low ROE has a limited competition. This can be proved because TNB is a monopoly company in Malaysia.
Conclusion and Recommendation
This research attempts to analyze into the relationship between the profitability of TNB with Return on Asset (ROA), Return on Equity (ROE) and Net Profit Margin (NPM). Besides that, this study also tries to observe and analyze the effect relationship between the dependent variable and independent variable for 12 years study which is from 1999 to 2010.
Multiple Regression Analysis technique was applied in order to examine the relationship between the dependent variable and independent variables. Based on the regression results, it implies that Return on Asset (ROA) and Net Profit Margin (NPM) were effectively affected to the profitability of TNB for the 12 years periods. The ROA has a significantly positive relationship towards the profitability of TNB. In other words, increase in ROA will also result to increase in the profitability of TNB. Whereas, the NPM has a significantly negative relationship towards the profitability of TNB. In other words, increase in NPM will result to decrease in the profitability of TNB.
ROE was insignificantly in affecting the profitability of TNB for 12 years period. Actually ROE do affect the profitability of TNB. However, ROE was the variable that less contributing towards the profitability of TNB. Plus, based on T – Statistic of ROE was lower than T – Tabulated. Thus, the researcher has to conclude that ROE was insignificantly affected the profitability of TNB.
As conclusion, TNB needs to focus on ROA and NPM.
Return on Asset
The TNB is earning more money on its assets. So, the TNB is very efficient in managing and controlling the assets to generate the profit. So, TNB should maintain it and continue in improving the ROA.
Return on Equity
Since the TNB is a monopoly company, so, TNB have limited competition. TNB should reduce its ROE and utilize it’s for capital invested.
Net Profit Margin
Based on the result NPM has negative relationship to profitability. So, the researcher recommends that TNB should control its cost efficiently and well. For an example, do a completion of the project within a time to avoid the cost increasing. Since the major sources of power generation such as coal, fuel and gas price are increasing, electricity tariffs for consumers should also revised upwards.
Albu C., Albu N., - Instrumente de management ale performantei, Economics Publishing House, Bucharest, 2004, p. 96. Retrieved from http://www.ebscohost.com
Alrgaibat G. A. (2010). The Profitability of the Banking Sector in Hashemite Kingdome of Jordan (1999-2008), European Journal of Economics, Finance and Administrative Sciences, Vol 26. Retrieved from http://www.ebscohost.com
Al-Hajji, Mohsen (2003) the determinants of bank profitability of a petroleum economy: the case of Saudi Arabia Petroleum Accounting and Financial Management Journal . Retrieve from http://www.emeraldinsight.com
Bashir, A. (2003). “Determinants of Profitability in Islamic Banks: Some Evidence from the Middle East”. Islamic Economic Studies, Vol.11 , pp. 31-57. Retrieved from http://www.ebscohost.com
Booth L., Aivazian V., Demirguc-kunt A., Maksimovic V. (2001). Capital Structure in Developing Countries. The Journal of Finance, vol LV1 (1), pp 87 – 130. Retrieved from http://www.ebscohost.com
Demirgüc-Kunt, A. & Huizinga, H. (1997). “Determinants of Commercial Bank Interest Margins and Profitability: Some International Evidence”. The World Bank Economic Review, Vol.3, pp. 379-408. Retrieved from http://www.ebscohost.com
Dodgson, M. and Rothwell, R. (1995), The Handbook of Industrial Innovation, Edward Elgar, London. Retrieved from http://www.emeraldinsight.com
Gabriel A., (2008) National Energy Policy to tackle problems of power sector. Retrieved on http://biz.thestar.com.my/bizweek/story.asp?file=/2008/11/22/bizweek/2584843HYPERLINK "http://biz.thestar.com.my/bizweek/story.asp?file=/2008/11/22/bizweek/2584843&sec=bizweek"&HYPERLINK "http://biz.thestar.com.my/bizweek/story.asp?file=/2008/11/22/bizweek/2584843&sec=bizweek"sec=bizweek
Garner J. L., Nam J. and Ottoo R. E. (2000) Determinants of Corporate Growth Opportunities of Emerging Firms, Journal of Economics and Business, pp 73 – 93.
Gheorghe O. Bistriceanu in Lexicon de finance-bănci, asigurări, vol.III, Editura Economică, Bucharest, 2001, p. 31. Retrieved from http://www.ebscohost.com
González F., Do equity investments affect banks’ profitability?. Evidence from OECD countries, Department of Business Administration. Retrieved from http://www.unioviedo.es/fgonzale/woking/AFEequitystakes.pdf
Goodwin, J. and Ahmed, K. (2006), “Longitudinal value relevance of earnings and intangible assets: evidence from Australian firms”, Journal of International Accounting, Auditing and Taxation, Vol. 15, pp. 72-91. Retrieved from http://www.emeraldinsight.com
Grenley, G.E (1995),Forms of market orientation in UK companies, Journal of Management Studies, Vol. 32, pp 47-66. Retrieved from http://www.emeraldinsight.com
Hassan, K. & Bashir, M. A. (2003). “Determinants of Islamic Banking Profitability”. Proceedings of the ERF 10th Annual Conference, Marrakesh, Morocco, 16-18. Retrieved from http://www.ebscohost.com
Hayes T. M., Helms M. M. (1999) Process Improvement In A Utility Company, Business Process Management Journal, Vol 5(4), pp 297 – 310. Retrieved from http://www.emeraldinsight.com
Industry Profile: Utilities in Australia,(2010) Retrieved from www.datamonitor.com
Kemmerer J. E., Lu J. (2008) Profitibility and Royalty Rates Across Industries: Some Preliminary Evidence, Journal Of Academy Of Business And Economics, Vol 8 (3), pp 68 – 80. Retrieved from http://www.ebscohost.com
Megginson W. L.,Nash R. C., Randenborgh M. V. (1994), The Financial and Operating Performance of Newly privatized firms: An International Empirical Analysis. Journal of Finance, pp 404 – 405.
Monea M. (2009). Financial Ratios – Reveal How A Business Is Doing?, Annals of the University of Petroşani, Economics, vol 9(2), 2009, pp 137-144. Retrieved from http://www.ebscohost.com
Ohlson, J.A. (1980), “Financial ratios and the probabilistic prediction of bankruptcy”, Journal of Accounting Research, Vol. 18, pp. 109-31. Retrieved from http://www.emeraldinsight.com
Salawu R. O. (2009). The Effect Of Capital Structure On Profitability: An Empirical Analysis Of Listed Firms In Nigeria, The International Journal of Business and Finance Research, Vol 3(2). Retrieved from http://www.ebscohost.com
Salavou S. (2002). Profitability in market-oriented SMEs: does product innovation matter?, European Journal of Innovation Management, Vol 5 (3), pp 164-171. Retrieved from http://www.emeraldinsight.com
Santos, J., 1999, Bank capital and equity investment regulations, Journal of Banking and Finance 23, 1095-1120. Retrieved from http://www.unioviedo.es/fgonzale/woking/AFEequitystakes.pdf
Scarlat E., Delcea C. (2011) Complete analysis of bankruptcy syndrome using grey systems theory, Grey Systems: Theory and Application, Vol 1(1), pp 19-32. Retrieved from http://www.emeraldinsight.com
Toy N., Stonehill A., Remmers L., Wright R., and Theo Beekhuisen T. (1974). A comparative international study of growth, profitability, and risk as determinants of corporate debt ratios in the manufacturing sector. Journal of Financial and Quantitative Analysis. Retrieved from http://www.ebscohost.com
Tugas F. C. (2009) Information Technology Maturity Index And Profitability In The Philippine Food, Beverage And Tobacco Industry, International Journal Of Business Research, Vol 10(1), pp 186-190. Retrieved from http://www.ebscohost.com
Zantioti L. E. (2009) Does Islamic Bank Performance Differ By Region? A Study On The Characteristics That Impact Profitability Within Islamic Banking Among Its Main Geographical Regions, Stockholm School Of Economics. Retrieved from http://www.emeraldinsight.com
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