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The role of rare earth prices in renewable energy consumption: The actual driver for a renewable energy world

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  • Apergis, Emmanuel
  • Apergis, Nicholas

Abstract

This study examines, for the first time in the energy issues literature, the long-run relationship between rare earth prices and the consumption of energy from renewables. The study applies standard time series econometric methodologies and monthly data in relevance to regional and income classification groups of countries, spanning the period 2004–2016. The empirical findings indicate the presence of a long-run relationship between these variables, but for certain rare earths and regions. The findings survive a multivariate robustness test, while they are expected to be of substantial importance for the world community, given that a few countries have control of those materials. The importance is lying on the need to establish a global green energy environment.

Suggested Citation

  • Apergis, Emmanuel & Apergis, Nicholas, 2017. "The role of rare earth prices in renewable energy consumption: The actual driver for a renewable energy world," Energy Economics, Elsevier, vol. 62(C), pages 33-42.
  • Handle: RePEc:eee:eneeco:v:62:y:2017:i:c:p:33-42
    DOI: 10.1016/j.eneco.2016.12.015
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    Cited by:

    1. Emmanuel Apergis & Nicholas Apergis, 2018. "What is extracted from earth is gold: are rare earths telling a new tale to economic growth?," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 45(1), pages 177-192, January.
    2. Yufeng Chen & Biao Zheng, 2019. "What Happens after the Rare Earth Crisis: A Systematic Literature Review," Sustainability, MDPI, vol. 11(5), pages 1-26, March.
    3. Li, Zheng-Zheng & Meng, Qin & Zhang, Linling & Lobont, Oana-Ramona & Shen, Yijuan, 2023. "How do rare earth prices respond to economic and geopolitical factors?," Resources Policy, Elsevier, vol. 85(PA).
    4. Aleksandra Matuszewska-Janica & Dorota Żebrowska-Suchodolska & Agnieszka Mazur-Dudzińska, 2021. "The Situation of Households on the Energy Market in the European Union: Consumption, Prices, and Renewable Energy," Energies, MDPI, vol. 14(19), pages 1-21, October.
    5. Xia, Qifan & Du, Debin & Cao, Wanpeng & Li, Xiya, 2023. "Who is the core? Reveal the heterogeneity of global rare earth trade structure from the perspective of industrial chain," Resources Policy, Elsevier, vol. 82(C).
    6. Madaleno, Mara & Taskin, Dilvin & Dogan, Eyup & Tzeremes, Panayiotis, 2023. "A dynamic connectedness analysis between rare earth prices and renewable energy," Resources Policy, Elsevier, vol. 85(PB).
    7. Hanif, Waqas & Mensi, Walid & Gubareva, Mariya & Teplova, Tamara, 2023. "Impacts of COVID-19 on dynamic return and volatility spillovers between rare earth metals and renewable energy stock markets," Resources Policy, Elsevier, vol. 80(C).
    8. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2022. "Time and frequency spillovers between political risk and the stock returns of China's rare earths," Resources Policy, Elsevier, vol. 75(C).
    9. Considine, Jennifer & Galkin, Phillip & Hatipoglu, Emre & Aldayel, Abdullah, 2023. "The effects of a shock to critical minerals prices on the world oil price and inflation," Energy Economics, Elsevier, vol. 127(PB).
    10. Proelss, Juliane & Schweizer, Denis & Seiler, Volker, 2020. "The economic importance of rare earth elements volatility forecasts," International Review of Financial Analysis, Elsevier, vol. 71(C).
    11. Kamal, Elham & Bouri, Elie, 2023. "Dependence structure among rare earth and financial markets: A multiscale-vine copula approach," Resources Policy, Elsevier, vol. 83(C).
    12. Seiler, Volker, 2021. "China-to-FOB price transmission in the rare earth elements market and the end of Chinese export restrictions," Energy Economics, Elsevier, vol. 102(C).
    13. Caner Özdurak & Veysel Ulusoy, 2020. "Spillovers from the Slowdown in China on Financial and Energy Markets: An Application of VAR–VECH–TARCH Models," IJFS, MDPI, vol. 8(3), pages 1-17, August.
    14. Chen, Jinyu & Liang, Zhipeng & Ding, Qian & Liu, Zhenhua, 2022. "Extreme spillovers among fossil energy, clean energy, and metals markets: Evidence from a quantile-based analysis," Energy Economics, Elsevier, vol. 107(C).
    15. Chen, Yufeng & Zheng, Biao & Qu, Fang, 2020. "Modeling the nexus of crude oil, new energy and rare earth in China: An asymmetric VAR-BEKK (DCC)-GARCH approach," Resources Policy, Elsevier, vol. 65(C).
    16. Song, Ying & Bouri, Elie & Ghosh, Sajal & Kanjilal, Kakali, 2021. "Rare earth and financial markets: Dynamics of return and volatility connectedness around the COVID-19 outbreak," Resources Policy, Elsevier, vol. 74(C).
    17. Zheng, Biao & Zhang, Yuquan & Chen, Yufeng, 2021. "Asymmetric connectedness and dynamic spillovers between renewable energy and rare earth markets in China: Evidence from firms’ high-frequency data," Resources Policy, Elsevier, vol. 71(C).
    18. Reboredo, Juan C. & Ugolini, Andrea, 2020. "Price spillovers between rare earth stocks and financial markets," Resources Policy, Elsevier, vol. 66(C).
    19. Fan, John Hua & Omura, Akihiro & Roca, Eduardo, 2023. "Geopolitics and rare earth metals," European Journal of Political Economy, Elsevier, vol. 78(C).
    20. Mohammad Nure Alam, 2021. "Accessing the Effect of Renewables on the Wholesale Power Market," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 341-360.
    21. Salim, Hengky & Sahin, Oz & Elsawah, Sondoss & Turan, Hasan & Stewart, Rodney A., 2022. "A critical review on tackling complex rare earth supply security problem," Resources Policy, Elsevier, vol. 77(C).

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    More about this item

    Keywords

    Rare earth prices; Energy consumption from renewable; World country groups;
    All these keywords.

    JEL classification:

    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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