4.7 Article

Econometric modeling of recycled copper supply

Journal

RESOURCES CONSERVATION AND RECYCLING
Volume 122, Issue -, Pages 219-226

Publisher

ELSEVIER
DOI: 10.1016/j.resconrec.2017.02.012

Keywords

Copper; Autoregressive distributed lag; Recycling; Scrap; Price elasticity

Funding

  1. National Science Foundation [1605050]
  2. Div Of Chem, Bioeng, Env, & Transp Sys
  3. Directorate For Engineering [1605050] Funding Source: National Science Foundation

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The supply of recycled material depends on historic consumption, i.e. what constitutes scrap available today originates from previously made products. Analytical tools, such as materials flow analysis, use this observation to estimate scrap metal flows. The supply of recycled metal also depends on changing economic conditions, e.g. metal consumption rates correlate with changes in gross domestic product. We use an autoregressive distributedlag approach to model the supply of recycled copper as a complementary approach to material flow analysis. We find that both industrial activity and world GDP correlate with total scrap supply, with limited dependence on copper price. We also develop independent models for direct remelt (higher quality) and refined (lower quality) scrap. A 1% increase in industrial production leads to a 2.1% increase in higher quality scrap quantity, while a similar increase in world GDP leads to a 1.4% increase in lower quality scrap. Based on this model dependence, we suggest that a recycling policy aimed at increasing recycling through the use of subsidies, taxes or price incentives should be directed towards the low-end segment of the scrap market and there it may still only have limited impact. (C) 2017 Elsevier B.V. All rights reserved.

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