scholarly journals The impact of factors to profitability of some coal mining enterprises after vinacomin restructure project

2020 ◽  
Vol 61 (5) ◽  
pp. 97-103
Author(s):  
Trang Thu Pham ◽  

The article uses Dupont analysis to determine the factors affecting profitability (ROE) of Vietnam coal mining enterprises and the regression method to examine the impact of production capacity of short-term assets, production capacity of long-term assets, production capacity of costs and capital structure on the profitability of firms. The article uses financial data collected from 19 coal mining companies of Vietnam National Coal-Mineral Industries Holding Corporation during the period of 2015 - 2018. The results show that production capacity of short-term assets, production capacity of long-term assets, production capacity of costs and capital structure positively impact profitability. The paper suggests 2 ways to improve profitability: firstly, borrowing to invest in technology will help coal mining enterprises improve their profitability; secondly, improving production processes appropriately to take full advantage of existing equipment capacity, thereby increasing profitability.

2021 ◽  
Vol 5 (1) ◽  
pp. 123-142
Author(s):  
Kim Foong Jee ◽  
Jia En Joanne Ngui ◽  
Pei Pei Jessica Poh ◽  
Wai Loon Chan ◽  
Yet Siang Wong

This paper examines the relationship between capital structure and performance of firms. The study is confined to plantation sector companies in Malaysia and is based on a sample of 39 firms which listed in Bursa Malaysia for the period from 2009 to 2019. This study uses two performance measures which are ROA and ROE as the dependent variable. Besides, the capital structure measures are the short-term debt, long-term debt, total debt and firm growth, which as the independent variables. Size will be the control variable in this study. Moreover, a fixed-effect panel regression analysis has been used to analyse the impact of capital structure on firm performance. The results indicate that firm performance, which is in term of ROA, have an insignificant relationship with short-term debt (STD) and long-term debt (LTD). For the total debt (TD) and growth, there is a significant relationship with ROA. However, for the performance measured by ROE, it has an insignificant relationship with short-term debt (STD), long-term debt (LTD) and total debt (TD). Furthermore, there is a significant relationship between the growth and the performance firms from plantation sector in Malaysia.


2016 ◽  
Vol 8 (10) ◽  
pp. 130 ◽  
Author(s):  
Maziar Ghasemi ◽  
Nazrul Hisyam Ab Razak

<p class="Content">For many years, liquidity of a company’s asset and its effect on the optimal debt level has been a controversial issue among scholars in finance studies. Prior studies have demonstrated that in some countries, asset liquidity increased debt level while in other countries liquid companies were less leveraged and more regularly financed by their own capital. This study investigates the effect of liquidity on the capital structure among the 300 listed companies in the Main market of Bursa Malaysia from 2005 to 2013 fiscal years. Pooled OLS is applied to investigate the impact of liquidity ratios on different Debt ratios. Liquidity of a company, which is the independent variable of this study, is measured by two common ratios which are: quick ratio and current ratio. Additionally, the Debt/Equity and Debt/Asset ratios represent the capital structures based on the short-term, long-term and total debt. The results show that all the measures of liquidity have significant impacts on all the proxies of leverage. According to the results, Quick ratio has a positive effect on leverage; although, Current ratio is negatively related to leverage. Moreover, short-term debt is more influenced by liquidity compared to long-term debt.</p>


2015 ◽  
Vol 7 (12) ◽  
pp. 1 ◽  
Author(s):  
Tristan Nguyen ◽  
Huy-Cuong Nguyen

<p>Our paper examines what impact capital structure has on firms’ performance in selected firms listed on HCMC Stock Exchange. The data is collected from 147 listed companies during the period from 2006 to 2014. The study not only checks the impact the level of leverage has on firms’ performance, which is found to be negative in this study, but it also uses the short-term and long-term debt ratios to see the effect of debt maturity. However, there is no difference whether it is short-term or long-term. Tangibility is found to be negative with a very high proportion on average. With the suggestion that companies might invest too much in fixed assets and there is a lack of efficiency, this could be the alert for firms to improve their management process. Size and growth are found to be positive, since larger firms have lower costs of bankruptcy and higher growth rates associate with higher performance. Moreover, the study also adds the effects of industry and macroeconomics, and the result shows a correlation between the two factors and firms’ performance.</p>


2020 ◽  
Vol 61 (6) ◽  
pp. 14-21
Author(s):  
Hung Phi Nguyen ◽  

For the purpose of ensuring sustainable development, one of the important factors is to increase labor productivity and minimize the number of workers directly working in the mine. In the context of increasing requirements for underground coal mining, the number of workers tends to decline due to shifting to other types of economy. Therefore, the mechanization investment in coal mining is the inevitable destination, which guarantees the long - term strategic development of the coal mining industry. Although the mechanized mining has obtained several achievements, the annual coal mining output is still not high, specifically reaching 73.8%; 51.3%; 61.4% according to the plan respectively for the years of 2013, 2014 and 2015. A total of mechanized lines has been invested and applied in Vietnam National Coal - Mineral Industries Holding Corporation Limited, but there are only six lines in operation until at this time. For five recent years, when the mining industry has accumulated a lot of experience in using mechanization technology, it is found that the potential factors causing production interruption have resulted in the effectiveness of these longwalls not achieved as expected. Summary of advantages, difficulties, and unsuccessful implementation of mechanization technology in the condition of Quang Ninh mine area has shown a big gap in production organization that should be specifically studying. In this study, the author wants to build a basic background in determining the impact of potential factors conscious of the longwall mechanized.


2018 ◽  
Vol 7 (2) ◽  
pp. 1-6
Author(s):  
Atif Ghayas ◽  
Javaid Akhter

This study aims to empirically examine and analyze the impact of capital structure decision on the firm’s profitability by using a sample of 35 Indian pharmaceutical companies listed on Bombay Stock Exchange (BSE) during the period of 5 years from 2012 to 2016. Regression Analysis is used to measure the extent and nature of the relationship. Capital structure variables used in the study are ratio of long-term debt to total assets (LDA), ratio of short-term debt to total assets (SDA) and ratio of Total debt to total assets (DA) while profitability has been measure by Return on Equity (ROE). Firms Size (SIZE)and Salesgrowth(GROW) are also used as control variables. Results reveal a positive effect of SDA and DA on ROE, while a weak-to-no effect was found of LDA on ROE.


2019 ◽  
Vol 10 (6) ◽  
pp. 78 ◽  
Author(s):  
Ahmed Sakr ◽  
Amina Bedeir

The purpose of this paper is to investigate the impact of capital structure decisions on the performance of the firm. The investigation has been performed using a data of 62 listed non-financial Egyptian firms over a period of fourteen years from 2003-2016. This study used two measures for performance the dependent variable which are ROA and ROE, the most common used measures agreed upon on the majority of previous studies. Whereas, for the independent variable “the capital structure, the study uses the three measures of capital structure which are total debt to total assets (TD), total short-term debt to total assets (STD), and total long-term debt to total assets (LTD). The results showed when using ROA as a measure of performance, a significant negative impact of capital structure (TD, STD, and LTD) exists; while in case of using ROE as a measure of performance, there’s a significant negative impact of capital structure only when using STD, otherwise a positive significant impact of capital structure exist.


Author(s):  
Do Huy Thuong ◽  
Tran Luu Ngoc ◽  
Nguyen Thi Phuong Hong

Considering the impact of the capital structure on the effectiveness of businesses is extremely important. Therefore, this study is conducted in order to find the influences of capital structure, firm size and revenue growth on the performance of the garment businesses listed on Vietnam stock market in the period of 2013-2018 with the representation of return on equity (ROE). The research with the use of panel data has shown that the ratio of short-term debt on total assets, the firm size and the revenue growth all have positive impacts on business performance. Meanwhile, the ratio of long-term debt on total assets has a negative impact on the performance of garment businesses at the statistically significant level of 5%.


2018 ◽  
Vol 5 (2) ◽  
pp. 1-6
Author(s):  
Hishan S Sanil ◽  
Ahmad Amirul Arsyad bin Noraidi ◽  
Suresh Ramakrishnan

This research is conducted to determine the impact of different firm sizes on the relationship between capital structure determinants and leverage among listed consumer product firms in Malaysia from year 2006 to 2015. All data was taken from annual report of the companies by using DataStream. In 2015, 130 firms were listed in Bursa Malaysia under the consumer product sector. However, only 108 firms were observed as several firms had insufficient data. This study uses the dependent variable of debt ratios i.e. short-term debt, long-term debt and total debt. The independent variables used are firm size, profitability, tangibility, liquidity, growth, non-tax debt shield and business risk. Those results were obtained by applying Pooled OLS and Fixed Effect Analysis. The main finding of this study is that different firm sizes will affect the relationship between capital structure determinants and leverage. The Fixed Effect analysis revealed that all determinants were significant across all types firm sizes. Furthermore, non-tax debt shield had the largest impact to all types of leverage across different firm sizes.


2017 ◽  
Vol 2 (1) ◽  
pp. 50
Author(s):  
Shehu Usman Hassan ◽  
Joseph Aitimon

This study assesses the impact of capital structure on investment opportunity growth, using listed pharmaceutical firms in Nigeria. The main objective of the study is to ascertain the level to which capital structures influences the investment opportunity growth of listed pharmaceutical firms in Nigeria. The methodology employed is the use of secondary data and the ex-post facto research design. The population of the study is all 7 pharmaceutical firms listed on the Nigerian Stock Exchange as at 31st December, 2013. The study used regression as a tool of analysis. Findings show that Short term debt, total debt and performance were found to have significant, negative and strong effect on investment growth opportunity of Listed Pharmaceutical firms in Nigeria, while long term debt have no effect on investment growth opportunity of Listed Pharmaceutical firms in Nigeria, within the sturdy period. The study recommends that pharmaceutical firms should maintain a minimal level of short term debt because tying down too much of it current assets will reduce investment opportunity, also the management of listed Pharmaceutical firm should increase the level at which the organization uses long term debt to finance its business activities, as this may go a long way in increasing the investment opportunity potentials of the organizations, we also recommend that mmanagement should reduce the combination of its short term debt and long term debt and channel such to a highly profitable investment so that so that it will encourage them to invest more in other business opportunity that will bring more fortune to the business and shareholders at largemore room.


2018 ◽  
Vol 23 (3) ◽  
pp. 274-294
Author(s):  
Rakesh Kumar Sharma

PurposeThe real estate sector in India has assumed growing importance with the liberalisation of the economy. Developments in the real estate sector are being influenced by the developments in the retail, hospitality and entertainment (e.g. hotels, resorts and cinema theatres) segment, economic services (e.g. hospitals, schools) and information technology-enabled services (such as call centres), and vice versa. This paper aims to study the determinants of capital structure by taking into account 125 major Bombay Stock Exchange (BSE) listed real estate companies selected on the basis of their market capitalisation.Design/methodology/approachTo discover what determines capital structure, nine firm level explanatory variables (profitability-EBIT margin, return on assets, earnings volatility, non-debt tax shield, tangibility, size, growth, age debt service ratio and tax shield) were selected and regressed against the appropriate capital structure measures, namely, total debt to total assets, long-term debts to total assets, short-term debts to total assets, total liabilities to total liabilities plus equity, total debt to capital used and total debt to total liabilities plus equity. A sample of 125 real estate companies was taken and secondary data were collected. Consequently, multivariate regression analysis was made based on financial statement data of the selected companies over the study period of 2009-2015.FindingsThe major findings of the study indicated that profitability, size, age, debt service capacity growth and tax shield variables are the significant firm-level determinants.Research limitations/implicationsThe present study is carried out by taking data of only 25 companies listed on the BSE and time period covered from 2009 from 2015. Time period and sample size may be limitations of the current study.Practical implicationsThe present study is an empirical analysis of the determinants of leverage of real estate sector in India with most recent available data. Different regression equations have been formed to develop the models using firm-specific determinants and different measures of leverage or capital structure. Data were regressed using SPSS application software, and the resulting (or obtained) regression outputs are analysed. This study will help the Indian real estate companies to the know the impact of different variables while raising short-term and long-term loans.Social implicationsThe current study will benefit all stakeholders of society who are fascinated to be acquainted with the financing of real estate companies and the factors affecting long-term and short-term financing of this sector. Specifically, public engrossed in different modes of investment and financial institution will be the prime gainers.Originality/valueThe present study has been completed using authentic data from the annual reports and database. This study uses explanatory variables and different measures of leverage which were limited in use in previous studies. Moreover, this research is a comprehensive study that deals with developing different regression models by using diverse measures of leverage.


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