Please use this identifier to cite or link to this item:
http://elar.urfu.ru/handle/10995/117999
Title: | Mineral import demand and clean energy transitions in the top mineral-importing countries |
Authors: | Islam, M. M. Sohag, K. Alam, M. M. |
Issue Date: | 2022 |
Publisher: | Elsevier Ltd |
Citation: | Islam M. M. Mineral import demand and clean energy transitions in the top mineral-importing countries / M. M. Islam, K. Sohag, M. M. Alam // Resources Policy. — 2022. — Vol. 78. — 102893. |
Abstract: | The clean energy transitions require a large volume of minerals to handle its diverse technologies, such as solar photovoltaics (PV), wind turbines etc. Therefore, mineral importing countries concentrated on cleaner energy production confront an uprising trend in critical mineral prices due to thriving demands. We quest for the response of the top mineral importing countries' import demand for minerals to the clean energy transitions from 1996 to 2019 within the import-demand function analysis. Using the cross-sectional autoregressive distributed lag (CS-ARDL) method, our findings divulge a significantly positive response of mineral import demand to solar and wind energy productions in the long run. We also find that mineral price elasticity holds the Marshallian demand hypothesis in the mineral-laden solar energy generation while contradicting it in wind energy production. In addition, the oil price substitution effect does not sustain, whereas exchange rate depreciates mineral import demands in the long run. Therefore, our policy implications encompass optimizing the mineral resources for clean energy transitions to materialize the 21st century's global agenda of a decarbonized or net-zero emissions trajectory. © 2022 Elsevier Ltd |
Keywords: | CLEAN ENERGY TRANSITIONS CS-ARDL APPROACH INSTALLED SOLAR CAPACITY INSTALLED WIND CAPACITY MINERAL-IMPORTING COUNTRIES MINERALS IMPORT FUNCTIONS MINERAL RESOURCES PUBLIC POLICY SOLAR ENERGY SOLAR POWER GENERATION WIND POWER AUTO-REGRESSIVE CLEAN ENERGY CLEAN ENERGY TRANSITION CROSS-SECTIONAL AUTOREGRESSIVE DISTRIBUTED LAG APPROACH ENERGY TRANSITIONS INSTALLED SOLAR CAPACITY INSTALLED WIND CAPACITY MINERAL IMPORT MINERAL-IMPORTING COUNTRY WIND CAPACITY MINERALS ALTERNATIVE ENERGY DEMAND ANALYSIS IMPORT MINERAL RESOURCE PHOTOVOLTAIC SYSTEM SOLAR POWER TIME SERIES ANALYSIS WIND POWER WIND TURBINE |
URI: | http://elar.urfu.ru/handle/10995/117999 |
Access: | info:eu-repo/semantics/openAccess |
SCOPUS ID: | 85134434368 |
WOS ID: | 000830246800004 |
PURE ID: | 30620238 |
ISSN: | 3014207 |
DOI: | 10.1016/j.resourpol.2022.102893 |
metadata.dc.description.sponsorship: | Ministry of Education and Science of the Russian Federation, Minobrnauka; Ural Federal University, UrFU Acknowledgement: The research funding from the Ministry of Science and Higher Education of the Russian Federation (Ural Federal University project within the Priority-2030 Program) is gratefully acknowledged. |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
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