An Empirical Comparison of Discrete Choice Models for Mining Stakeholder Analysis
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.
Recommended Citation
S. Que et al., "An Empirical Comparison of Discrete Choice Models for Mining Stakeholder Analysis," Mining, Metallurgy and Exploration, Springer Verlag, Jan 2022.
The definitive version is available at https://doi.org/10.1007/s42461-021-00522-8
Department(s)
Mining Engineering
Keywords and Phrases
Discrete Choice Model; Discrete Choice Theory; Individual Decision-Making; Mining Community Engagement; Stakeholder Analysis
International Standard Serial Number (ISSN)
2524-3470; 2524-3462
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2022 Springer, All rights reserved.
Publication Date
01 Jan 2022
Comments
This work was financially supported by the Key Laboratory of Western Mine Exploitation and Hazard Prevention, Ministry of Education (grant no. SKLCRKF1916), Natural Science Foundation of Chongqing (cstc2020jcyj-msxmX1000), and Venture and Innovation Support Program for Chongqing Overseas Returnees (grant no.cx2018114).