Alzoubi, H M, Leng, Chunyu, Wei, Siao-Yun, Al-Abyadh, Mohammed Hasan Ali, Halteh, Khaled, Bauetdinov, Majit and Le, Luan Thanh (2024) An empirical assessment of the effect of natural resources and financial technologies on sustainable development in resource abundant developing countries: Evidence using MMQR estimation. Resources Policy, 89. p. 104555. ISSN 0301-4207
pii/S0301420723012667 - Published Version
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Abstract
The present study aims to estimate the role of natural resources and financial technologies in sustainable development under the STIRPAT framework in seven resource abundant developing countries (Brazil, China, Russia, Saudi Arabia, Botswana, Morocco, and Turkey) over 2000 to 2020 period. To conduct empirical analysis, the study applies Fully Modified OLS (FMOLS), Dynamic OLS (DOLS) and Method of Moments Quantile Regression (MMQR). The findings of FMOLS and DOLS indicate the significant positive effect of natural resources and financial technologies on sustainable development in selected countries. These findings are robust in MMQR estimation (with significance of the coefficients varying at different quantiles). Based on these findings, the study recommends the policy makers and governments in these countries to implement effective policies aimed at the continual use and diffusion of financial technologies and efficient extraction and consumption of natural resources.
Affiliation: | Skyline University College |
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SUC Author(s): | Alzoubi, H M ORCID: https://orcid.org/0000-0003-3178-4007 |
All Author(s): | Alzoubi, H M, Leng, Chunyu, Wei, Siao-Yun, Al-Abyadh, Mohammed Hasan Ali, Halteh, Khaled, Bauetdinov, Majit and Le, Luan Thanh |
Item Type: | Article |
Subjects: | A Business and Management > AJ Financial Management A Business and Management > AV Sustainable Development |
Divisions: | Skyline University College > School of Business |
Depositing User: | Mr Mosys Team |
Date Deposited: | 29 Jan 2024 11:07 |
Last Modified: | 29 Jan 2024 11:08 |
URI: | https://research.skylineuniversity.ac.ae/id/eprint/823 |
Publisher URL: | https://doi.org/10.1016/j.resourpol.2023.104555 |
Publisher OA policy: | https://v2.sherpa.ac.uk/id/publication/16975 |
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