IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i8p2407-d225196.html
   My bibliography  Save this article

Corporate Social Responsibility: Understanding the Mining Stakeholder with a Case Study

Author

Listed:
  • Sisi Que

    (Key Laboratory of Hydraulic and Waterway Engineering of the Ministry of Education, College of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

  • Liang Wang

    (State Key Lab of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 404000, China)

  • Kwame Awuah-Offei

    (Department of Mining & Nuclear Engineering, Missouri University of Science & Technology, Rolla, MO 65409, USA)

  • Wei Yang

    (Key Laboratory of Hydraulic and Waterway Engineering of the Ministry of Education, College of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

  • Hui Jiang

    (Key Laboratory of Hydraulic and Waterway Engineering of the Ministry of Education, College of River and Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

Abstract

The social responsibility of corporate mining has been challenged by a significant socio-political risk from local communities. These issues reduce shareholder value by increasing costs and decreasing the market perception of corporate social responsibility. Community engagement is the process of understanding the behavior and interests of a group of targeted mining communities through surveys and data analysis, with the purpose of incorporating mining community acceptance into the mining sustainability. While mining organizations have discussed community engagement to varying degrees, there are three main shortcomings in current studies, as concluded in the authors’ previous research. This paper presents a framework to apply discrete choice theory to improve mining community engagement and corporate mining social responsibility. In addition, this paper establishes the main technical challenges to implement the developed framework, and presents methods to overcome the challenges for future research with a case study. The contribution of this research will transform mine sustainability in a fundamental way by facilitating the incorporation of effective community engagement. This will lead to more sustainable mines that local communities support.

Suggested Citation

  • Sisi Que & Liang Wang & Kwame Awuah-Offei & Wei Yang & Hui Jiang, 2019. "Corporate Social Responsibility: Understanding the Mining Stakeholder with a Case Study," Sustainability, MDPI, vol. 11(8), pages 1-12, April.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2407-:d:225196
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/8/2407/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/8/2407/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lena Winslott Hiselius, 2005. "Using Choice Experiments to Assess People's Preferences for Railway Transports of Hazardous Materials," Risk Analysis, John Wiley & Sons, vol. 25(5), pages 1199-1214, October.
    2. Walekhwa, Peter N. & Mugisha, Johnny & Drake, Lars, 2009. "Biogas energy from family-sized digesters in Uganda: Critical factors and policy implications," Energy Policy, Elsevier, vol. 37(7), pages 2754-2762, July.
    3. Caussade, Sebastián & Ortúzar, Juan de Dios & Rizzi, Luis I. & Hensher, David A., 2005. "Assessing the influence of design dimensions on stated choice experiment estimates," Transportation Research Part B: Methodological, Elsevier, vol. 39(7), pages 621-640, August.
    4. Dimitropoulos, Alexandros & Kontoleon, Andreas, 2009. "Assessing the determinants of local acceptability of wind-farm investment: A choice experiment in the Greek Aegean Islands," Energy Policy, Elsevier, vol. 37(5), pages 1842-1854, May.
    5. Ivanova, Galina & Rolfe, John, 2011. "Assessing development options in mining communities using stated preference techniques," Resources Policy, Elsevier, vol. 36(3), pages 255-264, September.
    6. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    7. Curran, Giorel, 2017. "Social licence, corporate social responsibility and coal seam gas: framing the new political dynamics of contestation," Energy Policy, Elsevier, vol. 101(C), pages 427-435.
    8. Hoyos, David, 2010. "The state of the art of environmental valuation with discrete choice experiments," Ecological Economics, Elsevier, vol. 69(8), pages 1595-1603, June.
    9. Karl Widerquist, 2018. "The Bottom Line," Exploring the Basic Income Guarantee, in: A Critical Analysis of Basic Income Experiments for Researchers, Policymakers, and Citizens, chapter 0, pages 93-98, Palgrave Macmillan.
    10. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    11. Sisi Que & Liang Wang & Kwame Awuah-Offei & Yao Chen & Wei Yang, 2018. "The Status of the Local Community in Mining Sustainable Development beyond the Triple Bottom Line," Sustainability, MDPI, vol. 10(6), pages 1-11, May.
    12. Willis, Ken & Scarpa, Riccardo & Gilroy, Rose & Hamza, Neveen, 2011. "Renewable energy adoption in an ageing population: Heterogeneity in preferences for micro-generation technology adoption," Energy Policy, Elsevier, vol. 39(10), pages 6021-6029, October.
    13. Owen, John R. & Kemp, Deanna, 2013. "Social licence and mining: A critical perspective," Resources Policy, Elsevier, vol. 38(1), pages 29-35.
    14. Que, Sisi & Awuah-Offei, Kwame & Weidner, Nathan & Wang, Yumin, 2017. "Discrete choice experiment validation: A resource project case study," Journal of choice modelling, Elsevier, vol. 22(C), pages 39-50.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Helena Ranängen & Åsa Lindman, 2020. "Walk the Talk—A Sustainability Management System for Social Acceptance in Nordic Mining," Sustainability, MDPI, vol. 12(9), pages 1-27, April.
    2. Somaye Narrei & Majid Ataee-pour, 2021. "Assessment of personal preferences concerning the social impacts of mining with choice experiment method," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 34(1), pages 39-49, April.
    3. Kwame Awuah-Offei & Sisi Que & Atta Ur Rehman, 2021. "Evaluating Mine Design Alternatives for Social Risks Using Discrete Choice Analysis," Sustainability, MDPI, vol. 13(16), pages 1-15, August.
    4. Fangtian Wang & Hongfei Qu & Wei Tian & Shilei Zhai & Liqiang Ma, 2022. "Ethical Construction and Development of Mining Engineering Based on the Safe, Efficient, Green, and Low-Carbon Concept," Sustainability, MDPI, vol. 14(21), pages 1-14, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liang Wang & Kwame Awuah-Offei & Sisi Que & Wei Yang, 2016. "Eliciting Drivers of Community Perceptions of Mining Projects through Effective Community Engagement," Sustainability, MDPI, vol. 8(7), pages 1-17, July.
    2. Christian A. Oberst & Reinhard Madlener, 2015. "Prosumer Preferences Regarding the Adoption of Micro†Generation Technologies: Empirical Evidence for German Homeowners," Working Papers 2015.07, International Network for Economic Research - INFER.
    3. Stefania Troiano & Daniel Vecchiato & Francesco Marangon & Tiziano Tempesta & Federico Nassivera, 2019. "Households’ Preferences for a New ‘Climate-Friendly’ Heating System: Does Contribution to Reducing Greenhouse Gases Matter?," Energies, MDPI, vol. 12(13), pages 1-19, July.
    4. Sisi Que & Yu Huang & Kwame Awuah-Offei & Liang Wang & Songlin Liu, 2023. "Discrete Choice Experiment Consideration: A Framework for Mining Community Consultation with Case Studies," Sustainability, MDPI, vol. 15(17), pages 1-17, August.
    5. Krucien, Nicolas & Ryan, Mandy & Hermens, Frouke, 2017. "Visual attention in multi-attributes choices: What can eye-tracking tell us?," Journal of Economic Behavior & Organization, Elsevier, vol. 135(C), pages 251-267.
    6. Campbell, Danny & Hutchinson, W. George & Scarpa, Riccardo, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Sustainability Indicators and Environmental Valuation Working Papers 12224, Fondazione Eni Enrico Mattei (FEEM).
    7. West, Grant H. & Snell, Heather & Kovacs, Kent & Nayga, Rodolfo M., 2020. "Estimation of the preferences for the intertemporal services from groundwater," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304220, Agricultural and Applied Economics Association.
    8. Kragt, Marit Ellen, 2013. "Comparing models of unobserved heterogeneity in environmental choice experiments," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152198, Australian Agricultural and Resource Economics Society.
    9. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    10. Kim, Ju-Hee & Yoo, Seung-Hoon, 2020. "Public perspective on the environmental impacts of sea sand mining: Evidence from a choice experiment in South Korea," Resources Policy, Elsevier, vol. 69(C).
    11. Kim, Dohee & Park, Byung-Jin (Robert), 2017. "The moderating role of context in the effects of choice attributes on hotel choice: A discrete choice experiment," Tourism Management, Elsevier, vol. 63(C), pages 439-451.
    12. Gutsche, Gunnar & Ziegler, Andreas, 2019. "Which private investors are willing to pay for sustainable investments? Empirical evidence from stated choice experiments," Journal of Banking & Finance, Elsevier, vol. 102(C), pages 193-214.
    13. Greiner, Romy & Bliemer, Michiel & Ballweg, Julie, 2014. "Design considerations of a choice experiment to estimate likely participation by north Australian pastoralists in contractual biodiversity conservation," Journal of choice modelling, Elsevier, vol. 10(C), pages 34-45.
    14. Campbell, Danny, 2007. "Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements," 81st Annual Conference, April 2-4, 2007, Reading University, UK 7975, Agricultural Economics Society.
    15. Vecchiato, D. & Tempesta, T., 2013. "Valuing the benefits of an afforestation project in a peri-urban area with choice experiments," Forest Policy and Economics, Elsevier, vol. 26(C), pages 111-120.
    16. Gunnar Gutsche & Andreas Ziegler, 2016. "Are private investors willing to pay for sustainable investments? A stated choice experiment," MAGKS Papers on Economics 201640, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    17. Yau-Huo Shr & Wendong Zhang, 2021. "Does Omitting Downstream Water Quality Change the Economic Benefits of Nutrient Reduction? Evidence from a Discrete Choice Experiment," Center for Agricultural and Rural Development (CARD) Publications 21-wp620, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    18. Palma, David & Ortúzar, Juan de Dios & Rizzi, Luis Ignacio & Guevara, Cristian Angelo & Casaubon, Gerard & Ma, Huiqin, 2016. "Modelling choice when price is a cue for quality: a case study with Chinese consumers," Journal of choice modelling, Elsevier, vol. 19(C), pages 24-39.
    19. Franceschinis, Cristiano & Thiene, Mara & Scarpa, Riccardo & Rose, John & Moretto, Michele & Cavalli, Raffaele, 2017. "Adoption of renewable heating systems: An empirical test of the diffusion of innovation theory," Energy, Elsevier, vol. 125(C), pages 313-326.
    20. Ahi, Jülide Ceren & Aanesen, Margrethe & Kipperberg, Gorm, 2023. "Testing the sensitivity of stated environmental preferences to variations in choice architecture," Ecological Economics, Elsevier, vol. 205(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2407-:d:225196. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.