figshare
Browse

Plida blade mining analysis

dataset
posted on 2025-08-06, 05:44 authored by Khajidmaa EnkhbazarKhajidmaa Enkhbazar
<p dir="ltr">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: </p><ul><li>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). </li><li>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. </li><li>Extend the analytical timeframe from 2012–2023 to allow for longitudinal data insights. </li><li>Employ advanced statistical approaches, including moderation and interaction effects, and multilevel modelling. </li><li>Broaden the theoretical underpinning by incorporating Resource-Based View (RBV) and Institutional Theory to explain complex interactions among the variables. </li></ul><p dir="ltr">These enhancements significantly extend my Master's thesis and fulfill doctoral-level expectation for originality and methodological rigor.</p>

Funding

Category 2 - Other Public Sector Grant

History

Start Date

2025-06-01

Finish Date

2027-06-01

Additional Rights

Access to ABS data is subject to strict licensing agreements under the ABS DataLab terms of use. Results derived from this data must be aggregated and non-identifiable. Direct publication of raw data is not permitted. All outputs must be cleared through the ABS DataLab disclosure process prior to public release or academic publication.

Open Access

  • No

Medium

CSV, Excel, STATA. Includes derived financial ratios and environmental indicators from BLADE (BIT, BAS, PAYG) and PLIDA using BCS modules (pollution, innovation, land use, waste).

Geolocation

Australia Plains

Number and size of Dataset

50mb

Supervisor

Galina Williams, Anita Medhekar