IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i1p267-d127885.html
   My bibliography  Save this article

Calculation of Characterization Factors of Mineral Resources Considering Future Primary Resource Use Changes: A Comparison between Iron and Copper

Author

Listed:
  • Ryosuke Yokoi

    (Department of Urban Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan)

  • Jun Nakatani

    (Department of Urban Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan)

  • Yuichi Moriguchi

    (Department of Urban Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan)

Abstract

The future availability of mineral resources has attracted much attention; therefore, a quantitative evaluation of the potential impacts of resource use on future availability is important. Although the surplus cost model is often recommended among the existing endpoint characterization models of mineral resources, it has a shortcoming as it does not consider the changes in future primary resource use. This paper introduces a new characterization model considering future primary resource use changes, due to future changes in total demand and secondary resource use. Using material flow analysis, this study estimated time-series primary resource use for iron and copper for five shared socioeconomic pathways (SSPs) and a constant total demand scenario. New characterization factors, i.e., demand change-based surplus costs (DCSC), are calculated for each resource. In all of the SSPs, the calculated DCSCs are larger than the conventional surplus costs (SC) for both iron and copper. The DCSC, relative to the SC of copper, is larger than that of iron for all of the SSPs, which suggests that the potential impacts of copper use, relative to iron, will be underestimated, unless future primary resource use changes are considered. In calculating DCSC for other resources, it is important to choose an appropriate approach for forecasting future total demands.

Suggested Citation

  • Ryosuke Yokoi & Jun Nakatani & Yuichi Moriguchi, 2018. "Calculation of Characterization Factors of Mineral Resources Considering Future Primary Resource Use Changes: A Comparison between Iron and Copper," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:1:p:267-:d:127885
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/1/267/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/10/1/267/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zongguo Wen & Chenkai Zhang & Xiaoli Ji & Yanyan Xue, 2015. "Urban Mining's Potential to Relieve China's Coming Resource Crisis," Journal of Industrial Ecology, Yale University, vol. 19(6), pages 1091-1102, December.
    2. van Vuuren, D. P. & Strengers, B. J. & De Vries, H. J. M., 1999. "Long-term perspectives on world metal use--a system-dynamics model," Resources Policy, Elsevier, vol. 25(4), pages 239-255, December.
    3. Tilton, John E., 1996. "Exhaustible resources and sustainable development : Two different paradigms," Resources Policy, Elsevier, vol. 22(1-2), pages 91-97.
    4. Tilton, John E. & Lagos, Gustavo, 2007. "Assessing the long-run availability of copper," Resources Policy, Elsevier, vol. 32(1-2), pages 19-23.
    5. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    6. Gomez, Fernando & Guzman, Juan Ignacio & Tilton, John E., 2007. "Copper recycling and scrap availability," Resources Policy, Elsevier, vol. 32(4), pages 183-190, December.
    7. Shinichiro Nakamura & Kenichi Nakajima & Yasushi Kondo & Tetsuya Nagasaka, 2007. "The Waste Input‐Output Approach to Materials Flow Analysis," Journal of Industrial Ecology, Yale University, vol. 11(4), pages 50-63, October.
    8. T. E. Graedel & Julian Allwood & Jean‐Pierre Birat & Matthias Buchert & Christian Hagelüken & Barbara K. Reck & Scott F. Sibley & Guido Sonnemann, 2011. "What Do We Know About Metal Recycling Rates?," Journal of Industrial Ecology, Yale University, vol. 15(3), pages 355-366, June.
    9. Spatari, S. & Bertram, M. & Gordon, Robert B. & Henderson, K. & Graedel, T.E., 2005. "Twentieth century copper stocks and flows in North America: A dynamic analysis," Ecological Economics, Elsevier, vol. 54(1), pages 37-51, July.
    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. Shule Li & Jingjing Yan & Qiuming Pei & Jinghua Sha & Siyu Mou & Yong Xiao, 2019. "Risk Identification and Evaluation of the Long-term Supply of Manganese Mines in China Based on the VW-BGR Method," Sustainability, MDPI, vol. 11(9), pages 1-23, May.

    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. Larona S. Teseletso & Tsuyoshi Adachi, 2022. "Long-Term Sustainability of Copper and Iron Based on a System Dynamics Model," Resources, MDPI, vol. 11(4), pages 1-19, April.
    2. Chen, Wu & Wang, Minxi & Li, Xin, 2016. "Analysis of copper flows in the United States: 1975–2012," Resources, Conservation & Recycling, Elsevier, vol. 111(C), pages 67-76.
    3. Koji Tokimatsu & Shinsuke Murakami & Tsuyoshi Adachi & Ryota Ii & Rieko Yasuoka & Masahiro Nishio, 2017. "Long-term demand and supply of non-ferrous mineral resources by a mineral balance model," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 30(3), pages 193-206, October.
    4. Wang, Minxi & Chen, Wu & Zhou, Yang & Li, Xin, 2017. "Assessment of potential copper scrap in China and policy recommendation," Resources Policy, Elsevier, vol. 52(C), pages 235-244.
    5. Guo, Tianjiao & Geng, Yong & Song, Xiaoqian & Rui, Xue & Ge, Zewen, 2023. "Tracing magnesium flows in China: A dynamic material flow analysis," Resources Policy, Elsevier, vol. 83(C).
    6. Chen, Wei-Qiang & Graedel, T.E., 2012. "Dynamic analysis of aluminum stocks and flows in the United States: 1900–2009," Ecological Economics, Elsevier, vol. 81(C), pages 92-102.
    7. Asif, Farazee M.A. & Rashid, Amir & Bianchi, Carmine & Nicolescu, Cornel M., 2015. "System dynamics models for decision making in product multiple lifecycles," Resources, Conservation & Recycling, Elsevier, vol. 101(C), pages 20-33.
    8. Lu, Bin & Liu, Jingru & Yang, Jianxin, 2017. "Substance flow analysis of lithium for sustainable management in mainland China: 2007–2014," Resources, Conservation & Recycling, Elsevier, vol. 119(C), pages 109-116.
    9. Nechifor, Victor & Calzadilla, Alvaro & Bleischwitz, Raimund & Winning, Matthew & Tian, Xu & Usubiaga, Arkaitz, 2020. "Steel in a circular economy: Global implications of a green shift in China," World Development, Elsevier, vol. 127(C).
    10. Klinglmair, Manfred & Fellner, Johann, 2011. "Historical iron and steel recovery in times of raw material shortage: The case of Austria during World War I," Ecological Economics, Elsevier, vol. 72(C), pages 179-187.
    11. Luca Ciacci & Ivano Vassura & Fabrizio Passarini, 2017. "Urban Mines of Copper: Size and Potential for Recycling in the EU," Resources, MDPI, vol. 6(1), pages 1-14, January.
    12. Werner, Tim T. & Mudd, Gavin M. & Jowitt, Simon M. & Huston, David, 2023. "Rhenium mineral resources: A global assessment," Resources Policy, Elsevier, vol. 82(C).
    13. Stefan Pauliuk & Niko Heeren, 2020. "ODYM—An open software framework for studying dynamic material systems: Principles, implementation, and data structures," Journal of Industrial Ecology, Yale University, vol. 24(3), pages 446-458, June.
    14. Ryosuke Yokoi & Jun Nakatani & Yuichi Moriguchi, 2018. "An Extended Model for Tracking Accumulation Pathways of Materials Using Input–Output Tables: Application to Copper Flows in Japan," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    15. Marisa D.M. Vieira & Thomas C. Ponsioen & Mark J. Goedkoop & Mark A.J. Huijbregts, 2016. "Surplus Cost Potential as a Life Cycle Impact Indicator for Metal Extraction," Resources, MDPI, vol. 5(1), pages 1-12, January.
    16. 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.
    17. Gondia Sokhna Seck & Emmanuel Hache & Clement Bonnet & Marine Simoën & Samuel Carcanague, 2020. "Copper at the crossroads : Assessment of the interactions between low-carbon energy transition and supply limitations," Post-Print hal-03118509, HAL.
    18. József Popp & Judit Oláh & Mária Farkas Fekete & Zoltán Lakner & Domicián Máté, 2018. "The Relationship Between Prices of Various Metals, Oil and Scarcity," Energies, MDPI, vol. 11(9), pages 1-19, September.
    19. van Ruijven, Bas J. & van Vuuren, Detlef P. & Boskaljon, Willem & Neelis, Maarten L. & Saygin, Deger & Patel, Martin K., 2016. "Long-term model-based projections of energy use and CO2 emissions from the global steel and cement industries," Resources, Conservation & Recycling, Elsevier, vol. 112(C), pages 15-36.
    20. Cao, Zhi & Shen, Lei & Liu, Litao & Zhao, Jianan & Zhong, Shuai & Kong, Hanxiao & Sun, Yanzhi, 2017. "Estimating the in-use cement stock in China: 1920–2013," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 21-31.

    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:10:y:2018:i:1:p:267-:d:127885. 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.