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Development of decision-making tools to create a harmonised UK national mineral resource inventory using the United Nations Framework Classification

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  • Bide, T.
  • Brown, T.J.
  • Gunn, A.G.
  • Deady, E.

Abstract

The need to better understand how we source and consume the raw materials required for decarbonisation is driving a growing demand for data on mineral resources. A key application of these data is to understand resource potential, by evaluating known ‘geological stocks’ of raw materials based on estimates of mineral resources and reserves. However, the available resource data are often incomplete, totally lacking or compiled in different ways (i.e. industry reported data, which has significantly different user requirements to that of national level policy makers), making comparisons and aggregation near impossible.

Suggested Citation

  • Bide, T. & Brown, T.J. & Gunn, A.G. & Deady, E., 2022. "Development of decision-making tools to create a harmonised UK national mineral resource inventory using the United Nations Framework Classification," Resources Policy, Elsevier, vol. 76(C).
  • Handle: RePEc:eee:jrpoli:v:76:y:2022:i:c:s0301420722000113
    DOI: 10.1016/j.resourpol.2022.102558
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    References listed on IDEAS

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    1. Lawrence D. Meinert & Gilpin R. Robinson & Nedal T. Nassar, 2016. "Mineral Resources: Reserves, Peak Production and the Future," Resources, MDPI, vol. 5(1), pages 1-14, February.
    2. Phillip Crowson, 2011. "Mineral reserves and future minerals availability," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 24(1), pages 1-6, July.
    3. Bide, T. & Brown, T.J. & Gunn, A.G. & Mankelow, J.M., 2020. "Utilisation of multiple current and legacy datasets to create a national minerals inventory: A UK case study," Resources Policy, Elsevier, vol. 66(C).
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    Cited by:

    1. Islam, Md. Monirul & Sohag, Kazi & Mariev, Oleg, 2023. "Geopolitical risks and mineral-driven renewable energy generation in China: A decomposed analysis," Resources Policy, Elsevier, vol. 80(C).

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