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Towards resilient, responsive and rewarding mining: An adaptive value chains approach

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  • Lim-Camacho, Lilly
  • Jeanneret, Talia
  • Hodgkinson, Jane H.

Abstract

In order to deliver the vital materials needed for a low-carbon economy, the mining chain's resilience to climate impacts must be improved. Management decisions spanning a broad domain need an approach that will support resilience to climate impacts as extremes become more intense. We explore a whole-of-chain approach that considers product flow (the supply chain) and the decisions that influence value created (the value chain). Using a Climate Impacts Framework (the Framework), we generate a qualitative model of the coal value chain in Queensland, Australia, using a cyclone in 2017 as a case study to demonstrate the danger and difficulty of mining and delivering products under an extreme climatic event. The model defines relationships and linkages between impacts occurring at different stages of the chain, indicating interdependencies and influence. Our results highlight the importance of systems perspectives for identifying levers that managers and policy makers can use to facilitate discussion and decision making towards the goal of responsive, resilient and rewarding mining value chains.

Suggested Citation

  • Lim-Camacho, Lilly & Jeanneret, Talia & Hodgkinson, Jane H., 2021. "Towards resilient, responsive and rewarding mining: An adaptive value chains approach," Resources Policy, Elsevier, vol. 74(C).
    • Handle: RePEc:eee:jrpoli:v:74:y:2021:i:c:s0301420717306153
    DOI: 10.1016/j.resourpol.2019.101465
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    References listed on IDEAS

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    1. Ellis, Frank, 2000. "Rural Livelihoods and Diversity in Developing Countries," OUP Catalogue, Oxford University Press, number 9780198296966, Decembrie.
    2. Tristan Pearce & James Ford & Jason Prno & Frank Duerden & Jeremy Pittman & Maude Beaumier & Lea Berrang-Ford & Barry Smit, 2011. "Climate change and mining in Canada," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 16(3), pages 347-368, March.
    3. Henckens, M.L.C.M. & van Ierland, E.C. & Driessen, P.P.J. & Worrell, E., 2016. "Mineral resources: Geological scarcity, market price trends, and future generations," Resources Policy, Elsevier, vol. 49(C), pages 102-111.
    4. Éva E Plagányi & Ingrid van Putten & Olivier Thébaud & Alistair J Hobday & James Innes & Lilly Lim-Camacho & Ana Norman-López & Rodrigo H Bustamante & Anna Farmery & Aysha Fleming & Stewart Frusher & , 2014. "A Quantitative Metric to Identify Critical Elements within Seafood Supply Networks," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-15, March.
    5. Frank Ellis, 2000. "The Determinants of Rural Livelihood Diversification in Developing Countries," Journal of Agricultural Economics, Wiley Blackwell, vol. 51(2), pages 289-302, May.
    6. Nuwan Gunarathne & Dileepa Samudrage & Dinushi Nisansala Wijesinghe & Ki-Hoon Lee, 2016. "Fostering social sustainability management through safety controls and accounting," Accounting Research Journal, Emerald Group Publishing Limited, vol. 29(2), pages 179-197, July.
    7. Martina Linnenluecke & Andrew Griffiths, 2012. "Assessing organizational resilience to climate and weather extremes: complexities and methodological pathways," Climatic Change, Springer, vol. 113(3), pages 933-947, August.
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    Cited by:

    1. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Chan, Hau-Ling & Bryde, David J., 2022. "The role of big data and predictive analytics in developing a resilient supply chain network in the South African mining industry against extreme weather events," International Journal of Production Economics, Elsevier, vol. 251(C).

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