Corporate Financial Attributes and Waste Disposal Cost Disclosure of Listed Industrial Goods Companies in Nigeria (Published)
This study examines the impact of corporate financial attributes on waste disposal cost disclosure (WDCD) of listed industrial goods companies in Nigeria from 2013-2020. A sample of ten (10) companies listed as industrial goods using census sampling technique was drawn from the population of thirteen (13) companies. Audited annual reports and accounts were used for data extraction. The analysis was done using descriptive statistics and multiple regressions. Explanatory research design was adopted in the study to find out the impact of corporate financial attributes on WDCD. Variables used include firm size, leverage, ROA and sales growth and WDCD measured using ordinal coding scheme based on GRI guidelines (G4). Robustness tests such as multicollinearity test, heteroscedasticity test, normality test and Hausman specification test were conducted to validate the results. The study revealed that there is negative significant relationship between FSIZE, LEV, SGWRT and WDCD while negative insignificant relationship between ROA and WDCD of listed industrial goods companies. The study therefore, recommends that the federal government of Nigeria should make WDCD mandatory especially among industrial good companies considering the nature of their activities polluting the environment. This can be done by making environmental reporting as part of the requirements for listing companies on the floor of Nigerian stock exchange.
Keywords: Leverage, ROA, WDCD, firm size, sales growth
Analysis of Non Performing Loans (NPL) and Net Interest Margin (NIM) on the Bank’s performance based on the Classification of Business Activities (BUKU) Registered with the Financial Services Authority (OJK) Period 2016 to 2018 (Published)
The Banking Sector is a very important one for the economic activities of a country that functions as a stabilizer and also supports the economic activity of the real sector by channeling funds to the real sector in the form of working capital loans from sources of funds collected by banks from communities that have excess funds. Therefore bank management must be careful in managing finances so that banks can be said to be healthy and the economic sector will grow. Sources of bank income are from loans disbursed in the form of Net Interest Margin (NIM) which is profit in the banking sector, with a high Net Interest Margin, banks will be healthier, but in lending not all loans are disbursed into the current category, there are some who experience to a loss so that company profits will decline due to bad loans called Non Performing Loans (NPL), so that it affects the bank’s performance in terms of its fundamentals, Return on Assets (ROA). Therefore management must pay attention to both of the above. Based on the results of the study found that from banks that are classified based on Bank Core Capital (BUKU) then in BUKU 1 it occurs that NIM has no effect on ROA, this is because banks in BUKU 1 banks with core capital below 1 trillion IDR, then lending to generally to small and medium entrepreneurs and individuals so that it does not take large profits, but NPL has a negative effect on ROA this means that management pays more attention to NPL levels compared to NIMs, because if the NPL increases it will worsen bank performance. On the other hand, NPL BUKU 4 does not affect ROA because banks in BUKU 4 are large banks with capital of more than IDR 30 trillion. They are very free to distribute credit and are generally given to corporations and large companies for investment capital and working capital so that NPL in the short term is not too disturbing bank performance because it already has a high NIM.
Keywords: BUKU, Bank Performance, NIM, NPL, ROA
The Effect of Capital Structure on the Financial Performance of Nigerian Quoted Conglomerates (Published)
This study investigated the effect of Nigerian banks’ capital structure on the performance of conglomerates quoted on the floor of the Nigerian stock exchange from 2011 to 2015. The paper identified four levels of dependent variables such as return on assets, ratio (ROA), return on equity ratio (ROE), assets turnover ratio (AT) and earnings per share whereas the independent variable is financial leverage. Essentially the paper sets out to determine the effect of capital structure on the above dependable variables hence return on assets of quoted conglomerates, return on equity of quoted conglomerates, asset turnover of the quoted conglomerates and on the earnings per share of quoted conglomerates. Descriptive statistics and the pooled ordinary least square (POLS) regression analytical method were used for data analysis. The study finds that capital structure has effect on both return on assets and asset turnover of the conglomerates but no effect on return on equity and earnings per share of the conglomerate. It is then concluded that an in-depth analysis of business factors which affect a particular industry should be considered so as to obtain the benefits of the debt-equity mix. The result of the study is in agreement with most previous studies on other sectors that discovered mixed results on the effect of capital structure on financial performance. It is therefore necessary to employ a critical analysis of the appropriate debt-equity mix suitable for the company.
Keywords: Capital Structure, Financial Leverage, POLS, ROA, ROE, conglomerates