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Article
An Empirical Comparison of Discrete Choice Models for Mining Stakeholder Analysis
Mining, Metallurgy and Exploration
  • Sisi Que
  • Kwame Awuah-Offei, Missouri University of Science and Technology
  • Yumin Wang
  • Ziwei Ding
  • Shaochun Yuan
Abstract

This research sought to facilitate improved stakeholder analysis in mining by providing further insights into the preferences of local community members using discrete choice theory. While recent research has demonstrated the usefulness of discrete choice theory in mining stakeholder analysis, no previous work has examined which discrete choice model (DCM) is most suitable. This paper provides a research note on a case study in a mining community that was performed to compare three DCMs. After a thorough examination of the benefits and deficiencies of all models, this study concludes that the conditional logit model stratified by questions is the most useful DCM for mining stakeholder analysis. The recommendation is based on the usefulness and accuracy (ability to match the survey data) of this model.

Department(s)
Mining Engineering
Comments
Chongqing Postdoctoral Science Foundation, Grant SKLCRKF1916
Keywords and Phrases
  • Discrete choice model,
  • Discrete choice theory,
  • Individual decision-making,
  • Mining community engagement,
  • Stakeholder analysis
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Springer, All rights reserved.
Publication Date
10-1-2022
Publication Date
01 Oct 2022
Citation Information
Sisi Que, Kwame Awuah-Offei, Yumin Wang, Ziwei Ding, et al.. "An Empirical Comparison of Discrete Choice Models for Mining Stakeholder Analysis" Mining, Metallurgy and Exploration Vol. 39 Iss. 5 (2022) p. 2121 - 2132 ISSN: 2524-3470; 2524-3462
Available at: http://works.bepress.com/kwame-awuah-offei/99/