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24 October 2023 An experimental pursuit of sustainable economic growth
Mansoor Ahmed Golo, Dongping Han, Muhammad Ibrar, Qaiser Mohi Ud Din
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Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 128041G (2023) https://doi.org/10.1117/12.3002778
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China
Abstract
The study scrutinizes the dynamic influence of economic growth, financial development, trade openness, and savings on CO2 emissions in countries hard hit by hazardous weather occurrences, from 1996 to 2019. Furthermore, the study examines the role of good governance as an instant remedy to the problem. Therefore, we estimate the institutional quality index to measure good governance through institutional excellence and employ the panel ARDL/PMG method for estimating long-run worsening strikes of underlined factors. Statistical outcomes unveil that economic growth and financial development have a detrimental impact on the environment. Numerical findings reveal that a one-unit growth in the real GDP and domestic credit caused 0.88 and 0.39 units of intensification in CO2 emissions, respectively. Gross domestic savings indicate an advantageous impact on CO2 emissions, implying that the higher saving rates are favorable for environmental quality. Moreover, trade openness is positively insignificant to the CO2 emissions in the sample countries. Further assessment of the study reveals that good governance can play a vital role in helping sample countries to achieve sustainable economic growth in the long run.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Mansoor Ahmed Golo, Dongping Han, Muhammad Ibrar, and Qaiser Mohi Ud Din "An experimental pursuit of sustainable economic growth", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 128041G (24 October 2023); https://doi.org/10.1117/12.3002778
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KEYWORDS
Sustainability
Carbon
Climatology
Data modeling
Pollution control
Statistical modeling
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