The purpose of this study was to examine the relationship between firms financial performance and human resource accounting disclosure of companies in Nigeria. Five years financial data from 2005-2009 of fifty two companies across all sectors as listed on the Nigeria stock exchange fact book of 2005-2009 were extracted using simple random sampling techniques. Descriptive, correlation and regression statistical techniques were used in analyzing the data. Our findings show that the combined effect of Firm Financial Performance accounted for 75.9% of the variation in Human Resource Accounting Disclosure (HRAD) with an F-ratio 3.581 being significant at 5% confidence level. The positive correlation between Return on Equity (ROE) and Human Resource Accounting Disclosure (HRAD) supposes that an increase in return on equity encourage firm in reporting human capital information so as to establish trustworthiness with stakeholders; enhance external reputation, appear legitimate in the public eye and avoid cost for non legitimacy. The study concludes that human resource accounting information of an organization is very important factor for decision makers in an era of knowledge based economy. There is growing evidence of the interest and demand among stakeholders for information from firm in relation to human capital. Based on this, the study recommended among others, regulatory intervention in the accounting standard setting process for human capital reporting in Nigeria. Standard should be created for human resource identification and measurement. This will enhance valuation of human capital, ensure a higher degree of utility to stakeholder, uniformity in disclosures and will allow reliable comparison of human capital values.
This study the relationship between accounting information and the stock prices of quoted firms in Nigeria. The general objective was to examine if accounting information have any effect on market value of quoted firms. Cross sectional data was sourced from financial statement of 23 manufacturing firm from 2008-2017. Stock price of the firms was modeled as a function of assets turnover rate, book value per share and debt equity ratio. Ordinary least square method of cointgration, unit root and granger causality test was used to determine the extent to which human resource cost affect quality of financial report. After cross examination of the validity of the pooled effect, fixed effect and the random effect, the study accepts the fixed effect model. The study found that the independent variables explained 78 percent variation on the market value of the quoted firms. The beta coefficient of the variables indicates debt equity ratio and assets turnover rate have positive effect on the stock prices of the quoted firms while book value per share have negative effect on the stock prices of the manufacturing firms. From the regression summary, the study concludes that there is significant relationship between accounting information and prices of the quoted firms. The study recommends that management of the manufacturing firms should formulate policies that will increase book value per share and internal and external factors that affect negatively the book value per share of the firms should be discouraged.
This research work investigates the relationship between corporate governance structures and sustainable development of oil companies in the Niger Delta Region of Nigeria. The research is based on a survey carried and on a representative sample of five major oil prospecting firms in the region. Questionnaires were used based on 5 point likert scale. Data were analyzed using SPSS version 17.0. The result shows that, good corporate governance will enable companies place priority to technological innovation that will not impair the environment and provide basic amenities and welfare to the communities of operation. It is recommended that government should provide stable investment rules and regulatory incentives for companies to foster sustainable development in the Niger Delta.
This study the relationship between accounting information and the market value of quoted firms in Nigeria. The general objective was to examine if accounting information have any effect on market value of quoted firms. Cross sectional data was sourced from financial statement of 23 manufacturing firm from 2008-2017. Market value of the firms was modeled as a function of earnings per share, return on equity and dividend per share. Ordinary least square method of cointgration, unit root and granger causality test was used to determine the extent to which human resource cost affect quality of financial report. After cross examination of the validity of the pooled effect, fixed effect and the random effect, the study accepts the fixed effect model. The study found that the independent variables explained 79 percent variation on the market value of the quoted firms. The beta coefficient of the variables indicates return on equity; earnings per share, dividend per share have positive effect on the market value of the quoted firms. From the regression summary, the study concludes that there is significant relationship between accounting information and market value of the quoted firms. The study recommends that management of the firms should formulate dividend policy that enhances the market value of the firms. Corporate strategies should be directed toward internal and external factors that affect earnings per share.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.