MANUFACTURING

Corporate mortality modeling refers to the process of predicting the likelihood of a company in a specific sector going out of business or experiencing financial distress. In the manufacturing sector, understanding and accurately predicting corporate mortality is highly important due to the complex and volatile nature of the industry. This work focuses on the analysis of corporate mortality in the manufacturing sector. The manufacturing sector plays a vital role in the global economy, employing a significant number of individuals and contributing to GDP. However, it also faces numerous challenges, such as intense competition, technological advancements, changing consumer demands, and economic fluctuations. The objective of this study is to develop a robust corporate mortality model specifically designed for the manufacturing sector. The model will incorporate various financial and non-financial factors that may influence the likelihood of a company going out of business. Financial factors such as profitability, liquidity, leverage, and solvency will be considered, along with non-financial factors such as industry dynamics, management quality, and market conditions. Data will be collected from a sample of manufacturing companies over a specific period of observation. This data will be used to build a predictive model using advanced statistical techniques such as logistic regression, survival analysis, and machine learning algorithms. The model will be validated using historical data and tested for its predictive accuracy. The results of this study will provide valuable insights into the factors that contribute to corporate mortality

The broad objective of this study is to examine the effect of Environmental, Social, and Governance (ESG) disclosure on the performance of distressed and non-distressed manufacturing firms in Nigeria over a five-year period from 2019 to 2023. To achieve this objective, the study employed ESG disclosure and its components as explanatory variables, while firm performance was measured using return on assets (ROA) and Tobin’s Q. The study adopted an ex-post facto and descriptive research design using panel data obtained from the annual reports of selected manufacturing firms listed on the Nigerian Exchange Group. Descriptive statistics, correlation analysis, diagnostic tests, and panel least squares regression techniques were used for data analysis. The results reveal that ESG disclosure has a positive and statistically significant effect on both accounting-based and market-based performance measures across all firms. However, the effect is stronger among non-distressed firms, indicating that financially stable firms are better positioned to benefit from sustainability practices. The findings further show that leverage has a negative influence on performance, while firm size contributes positively to financial outcomes. Based on these empirical insights, the study recommends that manufacturing firms should strengthen their ESG reporting processes and integrate sustainability strategies into their operations to enhance competitiveness and long-term value creation. Policymakers and regulatory bodies should also encourage standardized ESG reporting frameworks to improve disclosure quality and stakeholder confidence within the sector.