Econometric modeling of recycled copper supply
Fu, Xinkai, et al. “Econometric Modeling of Recycled Copper Supply.” Resources, Conservation and Recycling, vol. 122, July 2017, pp. 219–26.
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Materiálatiipa: | Artihkal |
Giella: | en_US |
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Elsevier
2019
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Liŋkkat: | https://hdl.handle.net/1721.1/121238 |
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author | Fu, Xinkai Ueland, Stian M. Olivetti, Elsa A. |
author2 | Massachusetts Institute of Technology. Institute for Data, Systems, and Society |
author_facet | Massachusetts Institute of Technology. Institute for Data, Systems, and Society Fu, Xinkai Ueland, Stian M. Olivetti, Elsa A. |
author_sort | Fu, Xinkai |
collection | MIT |
description | Fu, Xinkai, et al. “Econometric Modeling of Recycled Copper Supply.” Resources, Conservation and Recycling, vol. 122, July 2017, pp. 219–26. |
first_indexed | 2024-09-23T08:33:40Z |
format | Article |
id | mit-1721.1/121238 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T08:33:40Z |
publishDate | 2019 |
publisher | Elsevier |
record_format | dspace |
spelling | mit-1721.1/1212382022-09-30T09:35:33Z Econometric modeling of recycled copper supply Fu, Xinkai Ueland, Stian M. Olivetti, Elsa A. Massachusetts Institute of Technology. Institute for Data, Systems, and Society Massachusetts Institute of Technology. Department of Materials Science and Engineering Olivetti, Elsa Fu, Xinkai, et al. “Econometric Modeling of Recycled Copper Supply.” Resources, Conservation and Recycling, vol. 122, July 2017, pp. 219–26. National Science Foundation (U.S.) (Award 1605050) 2019-06-10T19:13:39Z 2019-06-10T19:13:39Z 2017-03-03 2016-11-25 Article http://purl.org/eprint/type/JournalArticle 0921-3449 https://hdl.handle.net/1721.1/121238 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 distributed lag 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. Keywords: Copper; Autoregressive distributed lag; Recycling; Scrap; Price elasticity en_US http://dx.doi.org/10.1016/j.resconrec.2017.02.012 Resources, Conservation and Recycling Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/octet-stream application/pdf Elsevier Prof. Olivetti via Angie LKocknar |
spellingShingle | Fu, Xinkai Ueland, Stian M. Olivetti, Elsa A. Econometric modeling of recycled copper supply |
title | Econometric modeling of recycled copper supply |
title_full | Econometric modeling of recycled copper supply |
title_fullStr | Econometric modeling of recycled copper supply |
title_full_unstemmed | Econometric modeling of recycled copper supply |
title_short | Econometric modeling of recycled copper supply |
title_sort | econometric modeling of recycled copper supply |
url | https://hdl.handle.net/1721.1/121238 |
work_keys_str_mv | AT fuxinkai econometricmodelingofrecycledcoppersupply AT uelandstianm econometricmodelingofrecycledcoppersupply AT olivettielsaa econometricmodelingofrecycledcoppersupply |