IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v103y2025ics0301420725001096.html

Projection of global copper demand in the context of energy transition

Author

Listed:
  • Fernanda Soares, Aline
  • Giovinazzo Spers, Renata
  • de Oliveira Santos Jhunior, Ronaldo

Abstract

The energy transition, driven by the widespread adoption of renewable energy technologies and electric vehicles, is significantly influencing global copper demand due to copper's critical role in energy-efficient applications. This study employs an autoregressive distributed lag (ARDL) model to project global copper demand through 2030, incorporating key variables such as gross domestic product (GDP) per capita, copper prices, and aluminum prices as a substitute. The analysis adjusts copper consumption data to account for the contributions of wind and solar energy systems and electric vehicles, highlighting their growing influence on demand. Results show that GDP growth remains the primary driver of copper demand, with a strong correlation between annual changes in GDP and demand fluctuations. Copper demand demonstrates a slow response to price variations, with significant lagged effects. While aluminum serves as the primary substitute for copper, its limited performance in critical applications underscores copper's continued dominance in energy-related technologies. The adjusted model reveals that traditional econometric approaches may underestimate the impact of clean energy technologies, projecting substantial increases in copper demand by 2030 under different energy transition scenarios. These findings highlight the importance of integrating emerging trends into projection models to guide policymakers and industry stakeholders in addressing supply constraints, market volatility, and sustainability challenges.

Suggested Citation

  • Fernanda Soares, Aline & Giovinazzo Spers, Renata & de Oliveira Santos Jhunior, Ronaldo, 2025. "Projection of global copper demand in the context of energy transition," Resources Policy, Elsevier, vol. 103(C).
  • Handle: RePEc:eee:jrpoli:v:103:y:2025:i:c:s0301420725001096
    DOI: 10.1016/j.resourpol.2025.105567
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420725001096
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2025.105567?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Hirlekar, Omkar & Kolte, Ashutosh & Vasa, Laszlo, 2025. "Transition in the mining industry with green energy: Economic dynamics in mining demand," Resources Policy, Elsevier, vol. 100(C).
    2. Stuermer, Martin, 2017. "Industrialization and the demand for mineral commodities," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 16-27.
    3. Pesaran, M.H. & Shin, Y., 1995. "An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis," Cambridge Working Papers in Economics 9514, Faculty of Economics, University of Cambridge.
    4. Månberger, André & Stenqvist, Björn, 2018. "Global metal flows in the renewable energy transition: Exploring the effects of substitutes, technological mix and development," Energy Policy, Elsevier, vol. 119(C), pages 226-241.
    5. 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.
    6. Messner, Frank, 2002. "Material substitution and path dependence: empirical evidence on the substitution of copper for aluminum," Ecological Economics, Elsevier, vol. 42(1-2), pages 259-271, August.
    7. Miranda R. Gorman & David A. Dzombak, 2019. "An Assessment of the Environmental Sustainability and Circularity of Future Scenarios of the Copper Life Cycle in the U.S," Sustainability, MDPI, vol. 11(20), pages 1-21, October.
    8. Ignacio Guzman, Juan & Nishiyama, Takashi & Tilton, John E., 2005. "Trends in the intensity of copper use in Japan since 1960," Resources Policy, Elsevier, vol. 30(1), pages 21-27, March.
    9. Ozdemir, Ali Can & Buluş, Kurtuluş & Zor, Kasım, 2022. "Medium- to long-term nickel price forecasting using LSTM and GRU networks," Resources Policy, Elsevier, vol. 78(C).
    10. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    11. Hegerty, Scott W., 2016. "Commodity-price volatility and macroeconomic spillovers: Evidence from nine emerging markets," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 23-37.
    12. Lou, Yanqiang, 2024. "Sustainable education index and copper trade interconnections," Resources Policy, Elsevier, vol. 98(C).
    13. Kwakkel, Jan H. & Auping, Willem L. & Pruyt, Erik, 2013. "Dynamic scenario discovery under deep uncertainty: The future of copper," Technological Forecasting and Social Change, Elsevier, vol. 80(4), pages 789-800.
    14. Di Dong & Arnold Tukker & Ester Van der Voet, 2019. "Modeling copper demand in China up to 2050: A business‐as‐usual scenario based on dynamic stock and flow analysis," Journal of Industrial Ecology, Yale University, vol. 23(6), pages 1363-1380, December.
    15. Adom, Philip Kofi & Bekoe, William, 2012. "Conditional dynamic forecast of electrical energy consumption requirements in Ghana by 2020: A comparison of ARDL and PAM," Energy, Elsevier, vol. 44(1), pages 367-380.
    16. Jeffrey A. Krautkraemer, 1998. "Nonrenewable Resource Scarcity," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 2065-2107, December.
    17. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    18. Madziwa, Lawrence & Pillalamarry, Mallikarjun & Chatterjee, Snehamoy, 2023. "Integrating stochastic mine planning model with ARDL commodity price forecasting," Resources Policy, Elsevier, vol. 85(PB).
    Full references (including those not matched with items on IDEAS)

    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. Stefan Pauliuk & Tomer Fishman & Niko Heeren & Peter Berrill & Qingshi Tu & Paul Wolfram & Edgar G. Hertwich, 2021. "Linking service provision to material cycles: A new framework for studying the resource efficiency–climate change (RECC) nexus," Journal of Industrial Ecology, Yale University, vol. 25(2), pages 260-273, April.
    2. Angel Manuel Benitez Rodriguez & Ian Michael Trotter, 2019. "Climate change scenarios for Paraguayan power demand 2017–2050," Climatic Change, Springer, vol. 156(3), pages 425-445, October.
    3. Islam, Md. Monirul & Sohag, Kazi & Hammoudeh, Shawkat & Mariev, Oleg & Samargandi, Nahla, 2022. "Minerals import demands and clean energy transitions: A disaggregated analysis," Energy Economics, Elsevier, vol. 113(C).
    4. Gaël Parpan & Baptiste Andrieu & Olivier Vidal & Louis Delannoy & Hugo Le Boulzec & Matthieu Gervais & Yves Jégourel & Stéphane Delalande, 2026. "Examining copper supply consistency in socioeconomic pathways: A mine-level dynamic approach," Post-Print hal-05346790, HAL.
    5. Céline Guivarch & Julie Rozenberg & Vanessa Schweizer, 2016. "The diversity of socio-economic pathways and CO2 emissions scenarios: Insights from the investigation of a scenarios database," Post-Print halshs-01292901, HAL.
    6. Steinmann, Patrick & Auping, Willem L. & Kwakkel, Jan H., 2020. "Behavior-based scenario discovery using time series clustering," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    7. Marc van der Meide & Carina Harpprecht & Stephen Northey & Yongxiang Yang & Bernhard Steubing, 2022. "Effects of the energy transition on environmental impacts of cobalt supply: A prospective life cycle assessment study on future supply of cobalt," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1631-1645, October.
    8. Tomoya Mori & Daisuke Murakami, 2025. "Sustainability of cities under declining population and decreasing distance frictions: The case of Japan," KIER Working Papers 1117, Kyoto University, Institute of Economic Research.
    9. Ren, Kaipeng & Tang, Xu & Wang, Peng & Willerström, Jakob & Höök, Mikael, 2021. "Bridging energy and metal sustainability: Insights from China’s wind power development up to 2050," Energy, Elsevier, vol. 227(C).
    10. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).
    11. Hu, Xueyue & Wang, Chunying & Elshkaki, Ayman, 2024. "Material-energy Nexus: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    12. Solberg, Birger & Moiseyev, Alex & Hansen, Jon Øvrum & Horn, Svein Jarle & Øverland, Margareth, 2021. "Wood for food: Economic impacts of sustainable use of forest biomass for salmon feed production in Norway," Forest Policy and Economics, Elsevier, vol. 122(C).
    13. Lanzi, Elisa & Dellink, Rob & Chateau, Jean, 2018. "The sectoral and regional economic consequences of outdoor air pollution to 2060," Energy Economics, Elsevier, vol. 71(C), pages 89-113.
    14. Komarek, Adam M. & Robinson, Sherman & Mason-D'Croz, Daniel, 2018. "The diet problem, nutrient supply, and the cost of diversity applied to livestock feeds," IFPRI discussion papers 1780, International Food Policy Research Institute (IFPRI).
    15. Fujimori, Shinichiro & Dai, Hancheng & Masui, Toshihiko & Matsuoka, Yuzuru, 2016. "Global energy model hindcasting," Energy, Elsevier, vol. 114(C), pages 293-301.
    16. F. Castro-Llanos & G. Hyman & J. Rubiano & J. Ramirez-Villegas & H. Achicanoy, 2019. "Climate change favors rice production at higher elevations in Colombia," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(8), pages 1401-1430, December.
    17. Speers, Ann E. & Besedin, Elena Y. & Palardy, James E. & Moore, Chris, 2016. "Impacts of climate change and ocean acidification on coral reef fisheries: An integrated ecological–economic model," Ecological Economics, Elsevier, vol. 128(C), pages 33-43.
    18. McManamay, Ryan A. & DeRolph, Christopher R. & Surendran-Nair, Sujithkumar & Allen-Dumas, Melissa, 2019. "Spatially explicit land-energy-water future scenarios for cities: Guiding infrastructure transitions for urban sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 880-900.
    19. Richard Taylor & Ruth Butterfield & Tiago Capela Lourenço & Adis Dzebo & Henrik Carlsen & Richard J. T. Klein, 2020. "Surveying perceptions and practices of high-end climate change," Climatic Change, Springer, vol. 161(1), pages 65-87, July.
    20. Roson, Roberto & Damania, Richard, 2016. "Simulating the Macroeconomic Impact of Future Water Scarcity an Assessment of Alternative Scenarios," Conference papers 332687, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:103:y:2025:i:c:s0301420725001096. 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.