Disaggregating the impact of natural resource rents on environmental sustainability in the MENA region: A quantile regression analysis

被引：32

作者：

Bilgili, Faik ^{[1
]}

Soykan, Erkan ^{[2
]}

Dumrul, Cuneyt ^{[3
]}

Awan, Ashar ^{[4
,5
]}

Onderol, Seyit ^{[6
]}

Khan, Kamran ^{[4
,6
]}

机构：

[1] Erciyes Univ, FEAS, Econ, Kayseri, Turkiye

[2] Kayseri Univ, Vocat Sch Social Sci, TR-38700 Pinarbasi, Kayseri, Turkiye

[3] Erciyes Univ, Fac Econ & Adm Sci, TR-38030 Kayseri, Turkiye

[4] Univ Azad Jammu & Kashmir, Kashmir Inst Econ, Muzaffarabad, Pakistan

[5] Nisantasi Univ, Grad Sch, Istanbul, Turkiye

[6] Erciyes Univ, Inst Social Sci, TR-38039 Kayseri, Turkiye

来源：

RESOURCES POLICY | 2023年 / 85卷

关键词：

Quantile regression; Renewable energy; Fossil fuels; Natural resources; Oil rent; Forest rent; Mineral rent; CO2; EMISSIONS; NONRENEWABLE ENERGY; ECONOMIC-GROWTH; CONSUMPTION;

D O I：

10.1016/j.resourpol.2023.103825

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

The main contribution of this paper is to analyze the disaggregated impact of natural resource rents on environmental sustainability in the MENA region. While previous literature has explored the overall effect of rents, this study focuses on the specific impacts of rents from forests, minerals, and oil. To do so, a novel quantile method based on moments is employed to analyze long-run heterogeneous impacts at various quantile levels of environmental conditions. The results from the quantile regression reveal that forest rent improves environmental quality, while rents from oil and minerals deteriorate environmental conditions. The study also found that economic growth and fossil fuel use led to an upsurge in carbon dioxide emissions, whereas renewable energy sources showed the potential in mitigating environmental issues. The study provides valuable insights for policymakers to achieve sustainable development goals in the MENA region.

引用

页数：8

共 71 条

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