Investigating economic growth and natural resource dependence: An asymmetric approach in developed and developing economies

被引:96
作者
Khan, Syed Abdul Rehman [1 ,2 ]
Ponce, Pablo [3 ,4 ,8 ]
Yu, Zhang [5 ,7 ]
Ponce, Katerine [6 ]
机构
[1] Xuzhou Univ Technol, Sch Management & Engn, Xuzhou, Peoples R China
[2] Beijing Key Lab Urban Spatial Informat Engn, Beijing, Peoples R China
[3] Univ Nacl Loja, Carrera Econ, Loja 110150, Loja, Ecuador
[4] Univ Nacl Loja, Ctr Invest Sociales & Econom, Loja 110150, Loja, Ecuador
[5] Changan Univ, Sch Econ & Management, Xian, Peoples R China
[6] Univ Politecn Salesiana, Carrera Ingn Ambiental, Cuenca 010105, Azuay, Ecuador
[7] ILMA Univ, Dept Business Adm, Karachi, Pakistan
[8] Univ Vigo, Fac Econ & Business, Campus Univ S-N, Vigo 36310, Spain
关键词
Economic growth; Natural resources; Technological innovation; Dependence on natural resources; Quantile regression; RENEWABLE ENERGY-CONSUMPTION; CROSS-SECTIONAL DEPENDENCE; QUANTILE REGRESSION; TESTS; COINTEGRATION; TECHNOLOGY; SECTOR; NEXUS;
D O I
10.1016/j.resourpol.2022.102672
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Economic growth is one of the primary macroeconomic aggregates that governments seek to achieve due to the positive externalities it generates in a nation. Natural resources are one of those factors that can be seen as a blessing or a curse in determining economic growth. Nowadays, it has been shown that countries can base their economic growth on factors other than capital formation and the intensive use of the labour force. Therefore, this research aims to examine the causal link between economic growth and capital formation, the labour force, renewable energy and renewable energy, the technological innovation at a global level and in groups of countries classified according to their level of income, developed and developing countries. Next, second-generation econometric techniques have been used that control the cross-sectional dependence among the countries examined. Then, the long-term coefficients are examined using the Method of Moments Quantile Regression (MMQR). The results find that the regressor variables are positively associated with economic growth, showing heterogeneity in the various quantiles examined. In addition, there is variation in results when examining economic growth by groups of countries, which shows the intensive use of factors. The results obtained reveal several policy implications aimed at sustainable growth in the era of post-COVI-19.
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页数:13
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