Eliciting Drivers of Community Perceptions of Mining Projects through Effective Community Engagement
Abstract
Sustainable mining has received much attention in recent years as a consequence of the negative impacts of mining and public awareness. The aim of this paper is to provide mining companies guidance on improving the sustainability of their sites through effective community engagement based on recent advances in the literature. It begins with a review of the literature on sustainable development and its relationship to stakeholder engagement. It then uses the literature to determine the dominant factors that affect community perceptions of mining projects. These factors are classified into five categories: environmental, economic, social, governance and demographic factors. Then, we propose a new two-stage method based on discrete choice theory and the classification that can improve stakeholder engagement and be cost-effective. Further work is required to validate the proposed method, although it shows potential to overcome some of the challenges plaguing current approaches.
Recommended Citation
L. Wang et al., "Eliciting Drivers of Community Perceptions of Mining Projects through Effective Community Engagement," Sustainability, vol. 8, no. 7, article no. 658, MDPI AG, Jul 2016.
The definitive version is available at https://doi.org/10.3390/su8070658
Department(s)
Mining Engineering
Keywords and Phrases
Community response; Discrete choice analysis; Local participation; Mining; Perception; Project assessment; Public attitude; Stakeholder; Sustainable development; Classification; Demographic survey; Governance approach; Community acceptance; Local community perspective; Sustainability
International Standard Serial Number (ISSN)
2071-1050
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2016 The Author(s), All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Jul 2016
Comments
This work is financially supported by grants from the National Natural Science Foundation of China (Grant No. 51504045) and the National Key Research Program of China (2016YFC0402103).