The Natural Resources Reserves are essential components of the economies of not just all of the nations of the world but also of the vast majority of those nations, the majority of which get a considerable advantage from their resources. High income countries are characterized by their diversified economies and their relatively low dependence on natural resources for government revenue. Resource extraction often generates significant rent-seeking behavior and corruption, which can result in inefficient allocation of resources and stifle economic growth. Hence, this study examines the nexus between TNRs and GDP for 31 high income nations for the period of 1990-2020. The economies used as examples in this research are fortunate to have access to a significant natural resource, which helps to improve the countries' long-term growth. The quantile regression method is utilized in this study so that the model may be estimated. This study employs the quantile regression method to examine the relationship between TNRs, and economic growth in the presence of control variables. The findings show that resource curse hypothesis is valid in case of high-income countries. As a consequence of this, the conclusion that may be reached is that natural resource rent is detrimental to the expansion of the economy in high income countries.
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Cent South Univ, Sch Publ Adm, Changsha 410075, Peoples R ChinaCent South Univ, Sch Publ Adm, Changsha 410075, Peoples R China
Tang, Chang
Irfan, Muhammad
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Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
Ilma Univ, Dept Business Adm, Karachi 75190, PakistanCent South Univ, Sch Publ Adm, Changsha 410075, Peoples R China
Irfan, Muhammad
Razzaq, Asif
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Dalian Univ Technol, Sch Econ & Management, Dalian, Peoples R ChinaCent South Univ, Sch Publ Adm, Changsha 410075, Peoples R China
Razzaq, Asif
Dagar, Vishal
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Great Lakes Inst Management, Gurgaon 122413, Haryana, IndiaCent South Univ, Sch Publ Adm, Changsha 410075, Peoples R China
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Yunnan Normal Univ, Sch Econ & Management, Kunming 650000, Peoples R China
UCSI Univ, Grad Business Sch, Kuala Lumpur, MalaysiaYunnan Normal Univ, Sch Econ & Management, Kunming 650000, Peoples R China
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King Saud Univ, Coll Business Adm, Dept Management, POB 71115, Riyadh 11587, Saudi ArabiaAir Univ, Dept Business Adm, Multan Campus, Multan, Punjab, Pakistan
Nassani, Abdelmohsen A.
Abro, Muhammad Moinuddin Qazi
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King Saud Univ, Coll Business Adm, Dept Management, POB 71115, Riyadh 11587, Saudi ArabiaAir Univ, Dept Business Adm, Multan Campus, Multan, Punjab, Pakistan
Abro, Muhammad Moinuddin Qazi
Zaman, Khalid
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Air Univ, Dept Business Adm, Multan Campus, Multan, Punjab, PakistanAir Univ, Dept Business Adm, Multan Campus, Multan, Punjab, Pakistan
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City Univ Macau, Fac Finance, Macau 999078, Peoples R ChinaSichuan Univ, Jinjiang Coll, Sch Digital Econ, Meishan, Peoples R China
Huang, Lilong
Dong, Dongdong
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City Univ Macau, Fac Business, Macau 999078, Peoples R ChinaSichuan Univ, Jinjiang Coll, Sch Digital Econ, Meishan, Peoples R China
Dong, Dongdong
Dong, Xueqin
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Sichuan Univ, Jinjiang Coll, Sch Digital Econ, Meishan, Peoples R China
City Univ Macau, Fac Finance, Macau 999078, Peoples R ChinaSichuan Univ, Jinjiang Coll, Sch Digital Econ, Meishan, Peoples R China