JOURNAL OF ACCOUNTING, FINANCE & MANAGEMENT DISCOVERY WUKARI

The study explored the impact of queuing theory on the operational efficiency of chosen transportation firms in the southern region of Nigeria in response to the persistent queues encountered by travellers in the travel and tourism industry of the economy. A survey design was utilised, with 200 respondents evenly drawn from the staffs of the five major transport companies in Nigeria. The primary data for the study were collected using a validated structured questionnaire. A regression analysis at the 0.05 level of statistical significance was used to test the hypotheses in line with the study’s objectives. The result revealed that queuing theory has a significant outcome on the operational performance of transport companies in Nigeria. In view of the findings, the study conclude that the number of servers, how people wait in line, and how long people have to wait have a big effect on the quality of service and operational efficiency of transportation companies. Contrarily, the number of servers, the rules for waiting in line, and the length of time people had to wait had a big effect on operational costs, making them inefficient. In these results, among others, the study recommends transportation enterprises employ a cost-benefit analysis approach to assess the feasibility of utilising queuing theory prior to implementing any requisite measures.

Purpose - This study examined the effect of economic instabilities on poverty and brain drain in Nigeria between 1990 to 2023. Design/methodology/approach - The study employed a time series econometric approach using ADF and Phillips-Perron tests for stationarity and the ARDL bounds testing technique to examine the long-run relationships. The ARDL model is used for estimation, while diagnostic tests ensure model validity. Findings - The results showed that economic instability variables have both positive and negative effects on poverty and brain drain, depending on the specific variable and model. Inflation, however, consistently exhibits a positive relationship in both models. All variables were found to be statistically significant. The diagnostic tests confirm that the models are robust, with no evidence of serial correlation, multicollinearity or heteroskedasticity, and that the models are correctly specified. Originality/value – The study contributes by jointly analysing the impact of economic instability on poverty and brain drain using ARDL, providing policy-relevant insights into their interconnected effects.

This study investigates the effect of sustainability reporting on the financial performance of listed consumer goods companies in Nigeria. Specifically, the study examined the influence of environmental, economic, and social responsibility reporting on financial performance, measured by Return on Assets (ROA). At the same time, firm size was included as a control variable. The study adopted an ex post facto research design and utilized secondary data obtained from the annual reports of selected consumer goods companies. The population comprised 20 listed consumer goods companies in Nigeria, from which 10 companies were selected through judgmental sampling. Data relating to sustainability disclosures were collected through content analysis based on the Global Reporting Initiative (GRI) framework. The study employed panel regression analysis to evaluate the relationship between sustainability reporting and financial performance. The findings revealed that environmental reporting, economic reporting, and social reporting had no significant effect on the Return on Assets of the sampled companies. The results indicate that sustainability reporting practices alone may not be sufficient to influence the financial performance of consumer goods companies in Nigeria. Consequently, the study concluded that environmental, economic, and social disclosures do not necessarily translate into improved profitability among listed consumer goods companies. Based on these findings, the study recommended that companies should incorporate sustainability performance indicators into executive compensation schemes to encourage management commitment to sustainable business practices. The study also recommended that companies should actively engage stakeholders such as investors, customers, and nongovernmental organizations in the sustainability reporting process to enhance the relevance, credibility, and usefulness of disclosed information. The findings imply that although sustainability reporting promotes transparency and accountability, other organizational and market factors may play a more significant role in determining financial performance

This study examines the critical relationship between Foreign Direct Investment (FDI) and structural transformation within the manufacturing sector from 1980 to 2025. Utilizing a quantitative, longitudinal research design, the research investigates whether foreign capital serves as a genuine engine of growth or merely creates isolated economic enclaves. The analysis is anchored in an endogenous growth framework, employing the Autoregressive Distributed Lag (ARDL) bounds testing approach to evaluate long-run equilibrium and short-run dynamics among key economic variables. The empirical model incorporates Manufacturing Value Added (MVA) as the dependent variable, with FDI, trade openness, human capital, gross fixed capital formation, and the real effective exchange rate serving as primary explanatory and control factors. Diagnostic tests, including the Augmented Dickey-Fuller unit root test, confirm a mixture of I(0) and I(1) integration orders, justifying the ARDL methodology. Findings from the F-Bounds test indicate a stable, long-term cointegrating relationship between FDI and industrial output. Specifically, the results reveal that while the immediate impact of FDI is statistically insignificant, its transformative benefits on manufacturing value added manifest significantly with a four-year time lag. Conversely, trade openness exerts a strong and immediate positive influence on sectoral growth. These results emphasize the necessity for host nations to enhance their absorptive capacity through human capital development and strategic industrial policies to successfully harness foreign investment for resilient, technologically advanced, and sustainable long-run structural transformation in the mid-21st century. 

This study examines database management systems and administrative performance in tertiary institutions in Rivers State. The study adopted the correlational research design. The population of the study comprised the 3007 academic staff in the four selected public tertiary institutions in Rivers State. A sample of three hundred and forty-six (346) respondents were selected. A 30-item structured instrument titled “Database Management Systems and Administrative Performance in Tertiary Institutions Questionnaire” (DMSAPTIQ) was used for the collection of data. Data collected was analyzed using Pearson Product Moment Correlation (PPMC) to answer research questions 1 and 2, while Multiple Regression Analysis was used to answer research question 3 at 0.05 level of significance. The study revealed r values of 0.789, and 0.732 with same p values of .000, indicated a strong, positive, and statistically significant correlation between database management systems (DBMS) and the decisionmaking process, and productivity respectively in tertiary institutions in Rivers State. The result showed that the regression model is significant (F(2,307)=256.37, p

This study examines the empirical evaluation of the effect of lending rates on economic growth in Nigeria Specifically, the study sought to: (i) determine the effect of lending rates on economic growth in Nigeria, (ii) examine the relationship between lending rates and private sector investment, and (iii) assess the short-run and long-run implications of lending rates for economic growth. The study adopted an ex-post facto research design and relied on secondary data obtained from relevant government publications and financial reports covering a 35-year period. Data on Gross Domestic Product Growth (GDPG), Lending Rate (LR), Private Sector Investment (PSI), and Inflation Rate (INF) were analyzed using Statistical Package for Social Sciences (SPSS) Version 20. Descriptive statistics, correlation analysis, multivariate tests, Variance Inflation Factor (VIF), and Augmented Dickey-Fuller (ADF) unit root tests were employed for data analysis. The findings revealed a significant negative relationship between lending rates and economic growth (r = -0.665, p < 0.01), indicating that higher lending rates adversely affect economic performance by increasing borrowing costs and discouraging productive investment. The study also found a positive but statistically insignificant relationship between lending rates and private sector investment (r = 0.187, p > 0.05), suggesting that factors other than lending rates may play a more prominent role in influencing investment decisions. Furthermore, the results indicated that lending rates have both short-run and long-run implications for economic growth. The study concluded that lending rates remain a critical determinant of economic performance in Nigeria. The study recommends that monetary authorities should maintain moderate and stable lending rates to stimulate investment and economic growth. The implication of the findings is that a stable and investment-friendly interest rate environment is essential for enhancing productive activities, encouraging capital formation, and promoting sustainable economic development in Nigeria.

This study examines the nexus between mobile banking adoption and commercial bank lending in SouthSouth Nigeria. Mobile banking was proxied by the number of registered banks, volume of mobile banking transactions, mobile phone penetration, and internet penetration, while mobile bank utilization served as a surrogate for commercial bank lending. The study population comprised 43,662,641 individuals, from which a scientifically determined sample of 400 respondents was drawn using the Taro Yamane formula. Primary data were elicited through a structured instrument titled Mobile Banking Financial Inclusion Questionnaire (MBFIQ), whose internal reliability, tested via Cronbach’s Alpha, produced a coefficient of 0.86, signifying strong econometric robustness. Anchored on Rogers Diffusion of Innovation Theory, the econometric findings revealed that the number of registered banks and the volume of mobile banking transactions exerted a positive and statistically significant effect on mobile bank utilization, thereby stimulating commercial bank lending in the region. Internet penetration, though positive, exhibited no significant impact, while mobile phone penetration showed a negative but insignificant relationship. The study concludes that mobile banking constitutes a critical driver of financial intermediation and credit expansion in South-South Nigeria, albeit with infrastructural and technological gaps. Consequently, it recommends that the Central Bank of Nigeria (CBN) in collaboration with State Ministries of Finance in the South-South region should intensify licensing of banks, strengthen digital infrastructure, and incentivize microfinance penetration in underserved areas to enhance mobile banking adoption, promote financial inclusion, and ultimately deepen credit availability for economic growth.

This study examines the relationship between strategic management practices and the financial performance of listed conglomerate firms in Nigeria. The research was guided by three objectives, each accompanied by corresponding research questions and hypotheses. Employing a descriptive survey design alongside an ex-post facto approach, data from 2015 to 2024 were analyzed to assess how strategic management practices influence financial performance. Independent variables included the percentage of total budget allocated to strategic projects, the frequency of performance review meetings, and the cost of resources devoted to strategic initiatives. Return on Assets served as the dependent variable, while Firm Size and Return on Equity were incorporated as control variables. The results indicate that strategic management practices significantly impact financial performance, though the effects vary depending on implementation context. Specifically, short-term increases in strategic resource expenditure and firm size positively affect Return on Assets, whereas sustained high budget allocations, frequent performance reviews, and elevated project costs are associated with lower asset-based financial performance. Based on these findings, it is recommended that firms ensure budget allocations to strategic projects are supported by effective execution plans and monitoring systems. Additionally, focused, goal-oriented review processes that deliver actionable insights without overburdening management are advised.

Tax administration systems across the globe are undergoing fundamental structural transformation driven by digital innovation and policy reform. This paper examines how technology-driven reforms in tax administration improve taxpayer compliance, with particular focus on African and comparable developing-economy contexts. Drawing on conceptual frameworks rooted in the Technology Acceptance Model and the Slippery Slope Framework, alongside empirical evidence from Nigeria, Kenya, Ghana, Rwanda, and selected global cases, the study is guided by two objectives: to assess the role of technology-driven reforms in improving voluntary tax compliance among individual and corporate taxpayers; and to evaluate the institutional and infrastructural factors that moderate the effectiveness of such reforms. Findings indicate that e-filing platforms, mobile payment systems, electronic invoicing mandates, and data analytics tools produce measurable compliance gains when deployed within supportive institutional environments. However, gains are moderated by digital infrastructure quality, taxpayer literacy, and the depth of trust between revenue authorities and taxpayers. The paper concludes with evidence-based policy recommendations for developing economies pursuing fiscal modernization.

This study investigates the impact of monetary policy tools on domestic price dynamics in Nigeria from 1990 to 2022. Data for the study were obtained from the Central Bank of Nigeria data source and the World Bank’s World Development Indicators 2022.Monetray policy rate, broad money supply, cash reserve ratio, Treasury bill rate, and liquidity ratio are adopted to proxy monetary policy tools while commodity price index is employed to capture domestic price dynamics. The adopted the Augmented Dickey Fuller approach and Auto-Regressive Distributive lag test to ensure the stationary status of the variables and analyse the data. Result from the bounds test showed that monetary policy tools exert a long term influence on domestic price dynamics. Further findings that monetary policy rate has a positive and significant relationship with commodity price index in the previous and second year pear period while broad money supply exert a negative but significant relationship with commodity price index in the previous and second year period of the short-run. However, Treasury bill rate exhibits a negative but significant effect on commodity price index in the long term as well as the most current year of the long-run. Similarly, liquidity ratio is negative with commodity price index but in the long term while cash reserve ratio is positive but insignificantly related with commodity price index. Hence, it is concluded that monetary policy tools had significant impact on commodity price in Nigeria. Thus, the need for suggesting amongst others that the central bank of Nigeria should consider maintaining the current policy rate or implementing gradual increase. This approach will continue to signal a contentment to price stability.

This work looks into the impact of climate change, carbon dioxide and rainfall on agricultural output/ performance in Nigeria using a time series data regression framework. Given the escalating vulnerability of Nigeria’s agriculture to climate linked shocks in understanding the link between carbon dioxide, rainfall and agricultural output which are important for economic growth and policy formulation. This study uses annual data from 1990 to 2024 that is sourced from the World Bank Development Indicators as well as the Nigerian Meteorological Agency. The Nigerian agricultural output is the dependent variable while the independent variables for this study include climate change (which is proxied by average annual temperature (TEM), carbon dioxide emissions (C02) and rainfall); the control variable used in this study is the government agricultural expenditure (GOE). After the regression analysis, it was revealed that rainfall causes a noteworthy though nonlinear influence on agricultural output, implying that insufficient and heavy rainfall affects productivity adversely. Whereas, temperature was found to have a negative but statistically significance when compared with the dependent variable, showing that continuous increase in temperature because of climate change effect causing agricultural output to reduce. Carbon emissions as another independent variable exhibits a negative link with agricultural output, re-emphasizing the negative effects of climate change. The study finalizes by revealing that climate change poses a major threat to agricultural sustainability; It is thus recommended that policymakers make adequate policy for investment in climate-resilient practices in agricultural (like investment in adequate irrigation system, seed varieties, and technological weather forecasting tool).