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Projection of global copper demand in the context of energy transition

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  • 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
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    1. 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.
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. Stuermer, Martin, 2017. "Industrialization and the demand for mineral commodities," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 16-27.
    8. Madziwa, Lawrence & Pillalamarry, Mallikarjun & Chatterjee, Snehamoy, 2023. "Integrating stochastic mine planning model with ARDL commodity price forecasting," Resources Policy, Elsevier, vol. 85(PB).
    9. 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.
    10. 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.
    11. 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.
    12. Lou, Yanqiang, 2024. "Sustainable education index and copper trade interconnections," Resources Policy, Elsevier, vol. 98(C).
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. Jeffrey A. Krautkraemer, 1998. "Nonrenewable Resource Scarcity," Journal of Economic Literature, American Economic Association, vol. 36(4), pages 2065-2107, December.
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