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ORIGINAL RESEARCH article

Front. Environ. Sci.
Sec. Environmental Economics and Management
Volume 13 - 2025 | doi: 10.3389/fenvs.2025.1482812
This article is part of the Research Topic Climate Risk and Green and Low-Carbon Transformation: Economic Impact and Policy Response View all 13 articles

Impact of natural resources rents on green growth: Evidence from G7 countries

Provisionally accepted
Jiangyunze Qian Jiangyunze Qian Lai Chen Lai Chen *
  • Anhui University, Hefei, China

The final, formatted version of the article will be published soon.

    Climate change has become a global issue in the 21 st century due to the excessive use of nonrenewable energy sources. To mitigate this issue, the world has been shifting towards green growth. For this purpose, researchers and policymakers are struggling to explore the factors that significantly impact green growth. Although several determinants of green growth have been investigated in the available literature, the impact of (dis)-aggregated natural resources rents (i.e., minerals rent, coal rent, oil rent, natural gas rent, and total natural resources rent) have been scantly investigated. To fill this gap, this study aims to examine the impact of coal rent, oil rent, minerals rent, natural gas rent, and total natural resources rent on the green growth in G7 countries. The findings from the panel ARDL approach elucidate that coal rent, natural gas rent, and total natural resources rent have a negative impact on green growth in the long-run. Further, oil rent has a positive impact, while minerals rent has an insignificant impact on green growth in the long-run. The study proposes several policy recommendations based on the findings.

    Keywords: Green growth, Coal rent, Mineral rent, Oil rent, Natural Gas Rent, Total Natural Resources Rent, Resource curse hypothesis, G7 countries JEL-Codes: O44

    Received: 18 Aug 2024; Accepted: 02 Jan 2025.

    Copyright: © 2025 Qian and Chen. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Lai Chen, Anhui University, Hefei, China

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