A Data-Driven Approach to Evaluation of Sustainability Reporting Practices in Extractive Industries

被引:13
|
作者
Perdeli Demirkan, Cansu [1 ]
Smith, Nicole M. [1 ]
Duzgun, H. Sebnem [1 ]
Waclawski, Aurora [2 ]
机构
[1] Colorado Sch Mines, Min Engn Dept, Golden, CO 80401 USA
[2] Colorado Sch Mines, Civil & Environm Engn Dept, Golden, CO 80401 USA
关键词
sustainability reporting; extractive industries; sustainability indicators; data-driven approach; content analysis; sustainable development; design for sustainability; CORPORATE SOCIAL-RESPONSIBILITY; MINING-INDUSTRY; GAS; OIL; INDICATORS; INNOVATION; FRAMEWORK; BUSINESS;
D O I
10.3390/su13168716
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sustainability reporting is one of the tools that contribute to incorporating sustainable development in the design of extractive operations (i.e., "Design for Sustainability"), and the demand for sustainability reports is increasing due to the increased focus on sustainable development and sustainable financing efforts. The extractive industries are believed to have unique strengths to contribute to achieving the Sustainable Development Goals. Nonetheless, companies are expected to be transparent and accountable not only to investors but to all stakeholders, including communities, suppliers, clients, employees, and governments. Therefore, extractive industries require effective sustainability accounting and reporting to transition and contribute to sustainable development. Through a data-driven approach, this paper examines the scope and consistency of sustainability indicators used in the sustainability reports of eight oil and gas and eight mining companies from 2012 to 2018. Through content analysis and relevant statistical methods, we analyze the ways in which companies reported on their contributions to sustainable development, with a focus on indicators used and trends over time both within each industry and between industries. We demonstrate that extractive industries' sustainability reporting practices are not consistent over time and that internal issues are better represented than external issues, in particular transportation and supply chain issues. Furthermore, while there are similar trends across the industries in terms of social and environmental indicator reporting, there are significant differences in economic reporting. We conclude that although both industries have established sustainability reporting practices, there are trends that demonstrate what companies are focusing on more, as well as areas for improvement. We see this as an initial step for conceptualizing how these industries can more objectively, consistently, and effectively assess and contribute to sustainable development.
引用
收藏
页数:37
相关论文
共 50 条
  • [41] Data-Driven Design as a Vehicle for BIM and Sustainability Education
    Benner, John
    McArthur, J. J.
    BUILDINGS, 2019, 9 (05)
  • [42] Data-driven approach for evaluation of formation damage during the injection process
    Ali Shabani
    Hamid Reza Jahangiri
    Abbas Shahrabadi
    Journal of Petroleum Exploration and Production Technology, 2020, 10 : 699 - 710
  • [43] Data-driven approach for evaluation of formation damage during the injection process
    Shabani, Ali
    Jahangiri, Hamid Reza
    Shahrabadi, Abbas
    JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, 2020, 10 (02) : 699 - 710
  • [44] Complex ecologies of trust in data practices and data-driven systems
    Steedman, Robin
    Kennedy, Helen
    Jones, Rhianne
    INFORMATION COMMUNICATION & SOCIETY, 2020, 23 (06) : 817 - 832
  • [45] Data-Driven Precision Implementation Approach
    Cullen, Laura
    Hanrahan, Kirsten
    Tucker, Sharon J.
    Gallagher-Ford, Lynn
    AMERICAN JOURNAL OF NURSING, 2019, 119 (08) : 60 - 63
  • [46] Controller implementability: a data-driven approach
    Padoan, Alberto
    Coulson, Jeremy
    Dorfler, Florian
    2023 62ND IEEE CONFERENCE ON DECISION AND CONTROL, CDC, 2023, : 6098 - 6103
  • [47] A data-driven approach to nonlinear elasticity
    Nguyen, Lu Trong Khiem
    Keip, Marc-Andre
    COMPUTERS & STRUCTURES, 2018, 194 : 97 - 115
  • [48] Curriculum Design - A Data-Driven Approach
    Chang, Jung-Kuei
    Tsao, Nai-Lung
    Kuo, Chin-Hwa
    Hsu, Hui-Huang
    PROCEEDINGS 2016 5TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS IIAI-AAI 2016, 2016, : 492 - 496
  • [49] Saliency Aggregation: A Data-driven Approach
    Mai, Long
    Niu, Yuzhen
    Liu, Feng
    2013 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2013, : 1131 - 1138
  • [50] Content in context: a data-driven approach
    Vernau, J
    DATA MINING II, 2000, 2 : 213 - 217