2023
DOI: 10.1016/j.gsf.2023.101652
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Does green growth in E-7 countries depend on economic policy uncertainty, institutional quality, and renewable energy? Evidence from quantile-based regression

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Cited by 66 publications
(6 citation statements)
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“…Moreover, the ASEAN region experiences a noteworthy increase in greenhouse gas emissions, reaching up to 52.6% (ln 4526), due to the significance of the GHGs variable. Also, Jiang et al 42 showed that institutional quality promotes the use of renewable energy and gross domestic product (GDP) has a positive impact on the environment. In addition, Liu et al 29 supported this finding by noting that CO2 emissions in emerging markets depend on the GDP growth rate, energy consumption and other macro variables.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Moreover, the ASEAN region experiences a noteworthy increase in greenhouse gas emissions, reaching up to 52.6% (ln 4526), due to the significance of the GHGs variable. Also, Jiang et al 42 showed that institutional quality promotes the use of renewable energy and gross domestic product (GDP) has a positive impact on the environment. In addition, Liu et al 29 supported this finding by noting that CO2 emissions in emerging markets depend on the GDP growth rate, energy consumption and other macro variables.…”
Section: Resultsmentioning
confidence: 99%
“…This was achieved through public–private partnerships (PPP), as found by Ref. 27 , 42 using a quantile ARDL method. Regarding generation, it is anticipated that the region has to spend a percentage of its GDP in order to attain if they are to achieve the 23% of renewable installations, which translates to $27 billion yearly and $290 billion by 2025 9 , 13 .…”
Section: Literature Reviewmentioning
confidence: 99%
“…The main benefit of the CS-ARDL technique is that it achieves consistent statistics regardless of the integration order of the underlying variables by modeling the long-run implications in the equation and integrating the effects of unobserved components. Therefore, khan et al [ 58 ] implemented the CCE method of [ 95 ] in the context of board ARDL models, where the lag of the reliant on variables was treated as a weakly exogenic variable inside the fault alteration framework. By incorporating cross-section averages of the dependent and independent variables affected by these unobserved mutual shocks and the related insulated values of these variables, the CS-ARDL method corrects for the unobserved consequences of common shocks, expanding the conventional ARDL strategy.…”
Section: Section 3: Data and Modeling Approachmentioning
confidence: 99%
“…However, economic growth increases CO 2 emissions, while urbanization is detrimental to environmental quality. Therefore, shifting policymakers' attention from conventional economic growth to green growth is a key determinant of green growth, in addition to ensuring political stability and reliable macroeconomic policies that can easily control or address unpredictable future economic problems [29,30].…”
Section: Prerequisites For Environmental Sustainability Toward Meetin...mentioning
confidence: 99%