Natural resources are vital in alleviating the effects imposed by human activities on the environment. For this reason, the preservation and wise utilization of natural resources has been emphasized and some laws toward ensuring that natural resources are not wasted have been put in place. However, high rents on natural resources are not sustaining. By following the STIRPAT model, this research seeks to assess the role played by natural resources rent, the rule of law, and renewable energy in alleviating the damage caused to the environment by human activities. The present research furthers the growing body of literature on the topic, which constitutes its primary contribution. To attain this goal, the dataset of the top 10 natural resource‐rich African countries, for the time range 1990 to 2021 is used. The dynamic Cross‐sectional Autoregressive Distributive Lag (CS‐ARDL) which overcomes heterogeneity, cross‐sectional dependence (CD), and dynamics is used in the analysis of the research model. The Augmented Mean Group (AMG) and the dynamic Common Correlated Estimator Mean Group (CCEMG) methods are employed to check the robustness of CS‐ARDL results. The findings illustrate that economic growth, natural resources rent, and energy intensity promote environmental damage, while renewable energy (RE) and the rule of law lessen it. This research advocates for the reduction and stabilization of natural resources rent, extensive use of RE, and improvements in the rule of law to alleviate environmental damage.

中文翻译：

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自然资源租金、可再生能源和治理对环境可持续性的影响——来自资源丰富国家的证据

自然资源对于减轻人类活动对环境造成的影响至关重要。因此，强调保护和明智利用自然资源，并制定了一些确保自然资源不被浪费的法律。然而，自然资源的高租金并不能持续。通过遵循 STIRPAT 模型，本研究旨在评估自然资源租金、法治和可再生能源在减轻人类活动对环境造成的破坏方面所发挥的作用。目前的研究进一步推进了有关该主题的不断增长的文献，这是其主要贡献。为了实现这一目标，使用了 1990 年至 2021 年期间自然资源最丰富的非洲前 10 个国家的数据集。研究模型的分析中使用了克服异质性、横截面依赖性（CD）和动力学的动态横截面自回归分布滞后（CS-ARDL）。采用增广均值组（AMG）和动态通用相关估计均值组（CCEMG）方法来检查 CS-ARDL 结果的稳健性。研究结果表明，经济增长、自然资源租金和能源强度会加剧环境破坏，而可再生能源 (RE) 和法治则会减轻环境破坏。本研究主张减少和稳定自然资源租金、广泛使用可再生能源以及改善法治以减轻环境破坏。