IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v73y2021ics0301420721001847.html
   My bibliography  Save this article

Evaluation of econometric models of secondary refined copper supply

Author

Listed:
  • Rivera, Nilza
  • Guzmán, Juan Ignacio
  • Jara, José Joaquín
  • Lagos, Gustavo

Abstract

Copper is essential in attaining a sustainable development path due to its prominent role in the electromobility and renewable energy industries. In 2019 refined copper usage was 23.5 million tons, of which primary copper supplied 86.3%, and the remaining 13.7% was provided by secondary metal. In the future, copper recycling would increase significantly concerning primary copper supply to meet the goal of decreasing greenhouse gases emissions. Secondary copper production reduces energy consumption by 85% and greenhouse gas emissions by 65% compared to average primary sources.

Suggested Citation

  • Rivera, Nilza & Guzmán, Juan Ignacio & Jara, José Joaquín & Lagos, Gustavo, 2021. "Evaluation of econometric models of secondary refined copper supply," Resources Policy, Elsevier, vol. 73(C).
  • Handle: RePEc:eee:jrpoli:v:73:y:2021:i:c:s0301420721001847
    DOI: 10.1016/j.resourpol.2021.102170
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420721001847
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2021.102170?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. Jaunky, Vishal Chandr, 2013. "A cointegration and causality analysis of copper consumption and economic growth in rich countries," Resources Policy, Elsevier, vol. 38(4), pages 628-639.
    3. Florian Fizaine, 2020. "The economics of recycling rate: New insights from waste electrical and electronic equipment [L'économie du taux de recyclage : nouveaux éclairages sur les déchets électriques et électroniques]," Post-Print hal-02880890, HAL.
    4. Lei, Yalin & Cui, Na & Pan, Dongyang, 2013. "Economic and social effects analysis of mineral development in China and policy implications," Resources Policy, Elsevier, vol. 38(4), pages 448-457.
    5. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    6. Franklin M. Fisher & Paul H. Cootner & Martin N. Baily, 1972. "An Econometric Model of the World Copper Industry," Bell Journal of Economics, The RAND Corporation, vol. 3(2), pages 568-609, Autumn.
    7. Ruhrberg, Martin, 2006. "Assessing the recycling efficiency of copper from end-of-life products in Western Europe," Resources, Conservation & Recycling, Elsevier, vol. 48(2), pages 141-165.
    8. Fizaine, Florian, 2020. "The economics of recycling rate: New insights from waste electrical and electronic equipment," Resources Policy, Elsevier, vol. 67(C).
    9. Talbi, Marwa & de Peretti, Christian & Belkacem, Lotfi, 2020. "Dynamics and causality in distribution between spot and future precious metals: A copula approach," Resources Policy, Elsevier, vol. 66(C).
    10. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    11. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    12. Bhatia, Vaneet & Das, Debojyoti & Tiwari, Aviral Kumar & Shahbaz, Muhammad & Hasim, Haslifah M., 2018. "Do precious metal spot prices influence each other? Evidence from a nonparametric causality-in-quantiles approach," Resources Policy, Elsevier, vol. 55(C), pages 244-252.
    13. Saleem H. Ali & Damien Giurco & Nicholas Arndt & Edmund Nickless & Graham Brown & Alecos Demetriades & Ray Durrheim & Maria Amélia Enriquez & Judith Kinnaird & Anna Littleboy & Lawrence D. Meinert & R, 2017. "Correction: Corrigendum: Mineral supply for sustainable development requires resource governance," Nature, Nature, vol. 547(7662), pages 246-246, July.
    14. Tilton, John E., 1999. "The future of recycling," Resources Policy, Elsevier, vol. 25(3), pages 197-204, September.
    15. Saleem H. Ali & Damien Giurco & Nicholas Arndt & Edmund Nickless & Graham Brown & Alecos Demetriades & Ray Durrheim & Maria Amélia Enriquez & Judith Kinnaird & Anna Littleboy & Lawrence D. Meinert & R, 2017. "Mineral supply for sustainable development requires resource governance," Nature, Nature, vol. 543(7645), pages 367-372, March.
    16. Northey, S. & Mohr, S. & Mudd, G.M. & Weng, Z. & Giurco, D., 2014. "Modelling future copper ore grade decline based on a detailed assessment of copper resources and mining," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 190-201.
    17. Xiarchos, Irene M. & Fletcher, Jerald J., 2009. "Price and volatility transmission between primary and scrap metal markets," Resources, Conservation & Recycling, Elsevier, vol. 53(12), pages 664-673.
    18. Hyndman, Rob J. & Koehler, Anne B., 2006. "Another look at measures of forecast accuracy," International Journal of Forecasting, Elsevier, vol. 22(4), pages 679-688.
    19. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    20. Gomez, Fernando & Guzman, Juan Ignacio & Tilton, John E., 2007. "Copper recycling and scrap availability," Resources Policy, Elsevier, vol. 32(4), pages 183-190, December.
    21. Aruga, Kentaka & Managi, Shunsuke, 2011. "Price linkages in the copper futures, primary, and scrap markets," Resources, Conservation & Recycling, Elsevier, vol. 56(1), pages 43-47.
    22. Gert Berckmans & Maarten Messagie & Jelle Smekens & Noshin Omar & Lieselot Vanhaverbeke & Joeri Van Mierlo, 2017. "Cost Projection of State of the Art Lithium-Ion Batteries for Electric Vehicles Up to 2030," Energies, MDPI, vol. 10(9), pages 1-20, September.
    23. Radetzki, Marian & Eggert, Roderick G. & Lagos, Gustavo & Lima, Marcos & Tilton, John E., 2008. "The boom in mineral markets: How long might it last?," Resources Policy, Elsevier, vol. 33(3), pages 125-128, September.
    24. Fu, Xinkai & Ueland, Stian M. & Olivetti, Elsa, 2017. "Econometric modeling of recycled copper supply," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 219-226.
    25. Yahya, Muhammad & Ghosh, Sajal & Kanjilal, Kakali & Dutta, Anupam & Uddin, Gazi Salah, 2020. "Evaluation of cross-quantile dependence and causality between non-ferrous metals and clean energy indexes," Energy, Elsevier, vol. 202(C).
    26. Bonnin, Marie & Azzaro-Pantel, Catherine & Domenech, Serge & Villeneuve, Jacques, 2015. "Multicriteria optimization of copper scrap management strategy," Resources, Conservation & Recycling, Elsevier, vol. 99(C), pages 48-62.
    27. Slade, Margaret E., 1980. "An econometric model of the U.S. secondary copper industry: Recycling versus disposal," Journal of Environmental Economics and Management, Elsevier, vol. 7(2), pages 123-141, June.
    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. Nilza Rivera & Juan Ignacio Guzmán, 2024. "Dynamic relationship between refined and scrap copper prices," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(2), pages 381-392, June.
    2. Nilza Rivera & Juan Ignacio Guzmán & Gustavo Lagos, 2023. "A method to estimate the robustness of the secondary refined copper supply function," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 255-277, June.
    3. Sourabh, Shalinee & Pavithran, Sagar & Menon, Balagopal G. & Mahanty, Biswajit, 2023. "Econometric modeling for the influence of economic variables on secondary copper production in India," Resources Policy, Elsevier, vol. 86(PB).

    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. Nilza Rivera & Juan Ignacio Guzmán, 2024. "Dynamic relationship between refined and scrap copper prices," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(2), pages 381-392, June.
    2. Nilza Rivera & Juan Ignacio Guzmán & Gustavo Lagos, 2023. "A method to estimate the robustness of the secondary refined copper supply function," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 255-277, June.
    3. 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.
    4. Sourabh, Shalinee & Pavithran, Sagar & Menon, Balagopal G. & Mahanty, Biswajit, 2023. "Econometric modeling for the influence of economic variables on secondary copper production in India," Resources Policy, Elsevier, vol. 86(PB).
    5. Florian Fizaine, 2019. "The Economics of Recycling Rate: new insights from a Waste Electrical and Electronic Equipment," Policy Papers 2019.01, FAERE - French Association of Environmental and Resource Economists.
    6. Fizaine, Florian, 2020. "The economics of recycling rate: New insights from waste electrical and electronic equipment," Resources Policy, Elsevier, vol. 67(C).
    7. Ling Tang & Chengyuan Zhang & Tingfei Li & Ling Li, 2021. "A novel BEMD-based method for forecasting tourist volume with search engine data," Tourism Economics, , vol. 27(5), pages 1015-1038, August.
    8. Song, Huiling & Wang, Chang & Lei, Xiaojie & Zhang, Hongwei, 2022. "Dynamic dependence between main-byproduct metals and the role of clean energy market," Energy Economics, Elsevier, vol. 108(C).
    9. Kunze, Frederik, 2017. "Predicting exchange rates in Asia: New insights on the accuracy of survey forecasts," University of Göttingen Working Papers in Economics 326, University of Goettingen, Department of Economics.
    10. Tung Liu & Lee C. Spector, 2005. "Dynamic employment adjustments over business cycles," Empirical Economics, Springer, vol. 30(1), pages 151-169, January.
    11. Lukasz Lach, 2010. "Application of Bootstrap Methods in Investigation of Size of the Granger Causality Test for Integrated VAR Systems," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 8(2), pages 167-186.
    12. Gustavo Lagos & David Peters & Marcos Lima & José Joaquín Jara, 2020. "Potential copper production through 2035 in Chile," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 33(1), pages 43-56, July.
    13. Meher Manzur & Wing-Keung Wong & Inn-Chau Chee, 1999. "Measuring international competitiveness: experience from East Asia," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1383-1391.
    14. Fu, Xinkai & Ueland, Stian M. & Olivetti, Elsa, 2017. "Econometric modeling of recycled copper supply," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 219-226.
    15. Bruns, Stephan B. & Gross, Christian, 2013. "What if energy time series are not independent? Implications for energy-GDP causality analysis," Energy Economics, Elsevier, vol. 40(C), pages 753-759.
    16. Pommeret, Aude & Ricci, Francesco & Schubert, Katheline, 2022. "Critical raw materials for the energy transition," European Economic Review, Elsevier, vol. 141(C).
    17. Committee, Nobel Prize, 2003. "Time-series Econometrics: Cointegration and Autoregressive Conditional Heteroskedasticity," Nobel Prize in Economics documents 2003-1, Nobel Prize Committee.
    18. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521520911, September.
    19. Mohammad Jaforullah & Alan King, 2015. "is New Zealand's economy vulnerable to world oil market shocks?," Working Papers 1503, University of Otago, Department of Economics, revised Mar 2015.
    20. Jacobo Campo & Viviana Sarmiento, 2013. "The Relationship between Energy Consumption and GDP: Evidence from a Panel of 10 Latin American Countries," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 50(2), pages 233-255, November.

    More about this item

    Keywords

    Secondary copper; Copper; Scrap; Econometric model;
    All these keywords.

    JEL classification:

    • Q24 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Land
    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • L72 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Mining, Extraction, and Refining: Other Nonrenewable Resources

    Statistics

    Access and download statistics

    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:eee:jrpoli:v:73:y:2021:i:c:s0301420721001847. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    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.