Plida blade mining analysis

This research project builds upon my Master of Philosophy thesis which investigated the relationship between environmental performance, environmental management systems (EMS), ISO 14001 compliance, Sustainable Development Goals (SDGs), and the financial performance of Australian mining firms between 2016 and 2021. According to the requirements of PhD-level research, this upgraded proposal expands upon my previous work by introducing new variables, methodologies, and extended datasets to ensure substantial novelty and depth. Based on my current Master's research, this upgraded study will: Utilize PLIDA alongside BLADE datasets to enhance data analysis capabilities and incorporate workforce demographics such as gender diversity, employee turnover, and injury rates (TRIFR/LTIFR). Integrate innovation and R&D expenditure data from the BLADE dataset alongside with PLIDA, providing a comprehensive analysis of these variables and their impact on financial outcomes. Extend the analytical timeframe from 2012–2023 to allow for longitudinal data insights. Employ advanced statistical approaches, including moderation and interaction effects, and multilevel modelling. Broaden the theoretical underpinning by incorporating Resource-Based View (RBV) and Institutional Theory to explain complex interactions among the variables. These enhancements significantly extend my Master's thesis and fulfill doctoral-level expectation for originality and methodological rigor.