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High sensitivity of metal footprint to national GDP in part explained by capital formation

Nature Geosciencevolume 11pages269273 (2018) | Download Citation

Abstract

Global metal ore extraction tripled between 1970 and 2010 as metals are widely used in new infrastructure and advanced technology. Meanwhile, the energy and environmental costs of metal mining increase as lower ore grades are being exploited. The domestic use of metals has been found to reach a plateau when gross domestic product reaches US$15,000 per person. Here we present a quantification of the annual metal footprint (that is, the amount of metal ore extracted to satisfy the final demand of a country, including metals used abroad to produce goods that are then imported, and excluding metals used domestically to produce exports) for 43 large economies during 1995–2013. We use a panel analysis to assess short-term drivers of changes in metal footprint, and find that a 1% rise in gross domestic product raises the metal footprint by as much as 1.9% in the same year. Further, every percentage point increase in gross capital formation as a share of gross domestic product increased the metal footprint by 2% when controlling for gross domestic product. Other socioeconomic variables did not significantly influence the metal footprint. Finding ways to break the strong coupling of economic development and investment with metal ore extraction may be required to ensure resource access and a low-carbon future.

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Acknowledgements

Funding for X.Z. and C.W. was provided by the National Natural Science Foundation of China (project no. 71525007). We thank M. Kotchen, F. Novajan and J. Reuning-Scherer for advice when developing the research.

Author information

Affiliations

  1. Center for Industrial Ecology, School of Forestry and Environmental Studies, Yale University, New Haven, CT, USA

    • Xinzhu Zheng
    • , Ranran Wang
    •  & Edgar G. Hertwich
  2. State Key Joint Laboratory of Environment Simulation and Pollution Control (SKLESPC), School of Environment, Tsinghua University, Beijing, China

    • Xinzhu Zheng
    •  & Can Wang
  3. Faculty of Engineering Technology, University of Twente, Enschede, the Netherlands

    • Ranran Wang
  4. Industrial Ecology Program, Department of Energy and Process Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway

    • Richard Wood

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Contributions

E.G.H. led and designed the research, X.Z. and R.Wang performed the research, R.Wood assembled EXIOBASE. All authors contributed to the interpretation of the results and provided substantial input to the manuscript.

Competing interests

The authors declare no competing interests.

Corresponding author

Correspondence to Edgar G. Hertwich.

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    Supplementary Data Tables, Figures and Discussion.

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DOI

https://doi.org/10.1038/s41561-018-0091-y