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Recycling Rates of Aluminum in the United States

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  • Wei‐Qiang Chen

Abstract

Recycling rates of aluminum are defined in different (sometimes inconsistent) ways and poorly quantified. To address this situation, the definitions and calculation methods of four groups of indicators are specified for the United States: (1) indicators used to measure recycling efficiencies of old aluminum scrap at the end‐of‐life (EOL) stage, including EOL collection rate (CR), EOL processing rate, EOL recycling rate, and EOL domestic recycling rate; (2) indicators used to compare generation or use of new with old scrap, including new to old scrap ratio, new scrap ratio (NSR), and old scrap ratio; (3) indicators used to compare production or use of primary aluminum with secondary aluminum, including four recycling input rates (RIRs); and (4) indicators used to track the sinks of aluminum metal in the U.S. anthroposphere. I find that the central estimate of EOL CR varies between 38% and 65% in the United States from 1980 to 2009 and shares a relatively similar historical trend with the primary aluminum price. The RIR is shown to be significantly reduced if excluding secondary aluminum produced from new scrap resulting from the relatively high NSR. In 2003, a time when approximately 73% of all of the aluminum produced globally since 1950 was considered to still be “in service,” approximately 68% to 69% of all metallic aluminum that had entered the U.S. anthroposphere since 1900 was still in use: 67% in domestic in‐use stock and 1% to 2% exported as scrap. Only 6% to 7% was definitely lost to the environment, although the destination of 25% of the aluminum was unknown. It was either exported as EOL products, was currently hibernating, or was lost during collection.

Suggested Citation

  • Wei‐Qiang Chen, 2013. "Recycling Rates of Aluminum in the United States," Journal of Industrial Ecology, Yale University, vol. 17(6), pages 926-938, December.
  • Handle: RePEc:bla:inecol:v:17:y:2013:i:6:p:926-938
    DOI: 10.1111/jiec.12070
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    Cited by:

    1. Zhang, Chao & Chen, Wei-Qiang & Liu, Gang & Zhu, Da-Jian, 2017. "Economic Growth and the Evolution of Material Cycles: An Analytical Framework Integrating Material Flow and Stock Indicators," Ecological Economics, Elsevier, vol. 140(C), pages 265-274.
    2. Nuo Zhang & Qi Han & Bauke de Vries, 2021. "Building Circularity Assessment in the Architecture, Engineering, and Construction Industry: A New Framework," Sustainability, MDPI, vol. 13(22), pages 1-21, November.
    3. 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.
    4. Buchner, Hanno & Laner, David & Rechberger, Helmut & Fellner, Johann, 2014. "In-depth analysis of aluminum flows in Austria as a basis to increase resource efficiency," Resources, Conservation & Recycling, Elsevier, vol. 93(C), pages 112-123.
    5. Fu, Xinkai & Ueland, Stian M. & Olivetti, Elsa, 2017. "Econometric modeling of recycled copper supply," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 219-226.
    6. Tercero Espinoza, Luis A., 2021. "Critical appraisal of recycling indicators used in European criticality exercises and circularity monitoring," Resources Policy, Elsevier, vol. 73(C).
    7. Maung, Kyaw Nyunt & Yoshida, Tomoharu & Liu, Gang & Lwin, Cherry Myo & Muller, Daniel B. & Hashimoto, Seiji, 2017. "Assessment of secondary aluminum reserves of nations," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 34-41.
    8. Yuhua Guo & Junmao Qie & Chunxia Zhang & Yuantao Yang, 2021. "Material flow analysis of zinc during the manufacturing process in integrated steel mills in China," Journal of Industrial Ecology, Yale University, vol. 25(4), pages 1009-1020, August.

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