2022
DOI: 10.1007/s11356-022-20013-7
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The effect of renewable energy development, market regulation, and environmental innovation on CO2 emissions in BRICS countries

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Cited by 76 publications
(17 citation statements)
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“…These variations are connected to certain phases, dynamics, and continuity aspects of how international trade affects carbon emissions. Sun et al (2019), Abbas et al (2022) also considered green innovation, and energy efficiency responsible for the reduction of CO2 emission due to trade. Wang et al (2018), Ali et al (2022) discovered that raising the rate of economic growth and boosting international commerce are helpful for improving environmental effects.…”
Section: Nardl Long Run Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…These variations are connected to certain phases, dynamics, and continuity aspects of how international trade affects carbon emissions. Sun et al (2019), Abbas et al (2022) also considered green innovation, and energy efficiency responsible for the reduction of CO2 emission due to trade. Wang et al (2018), Ali et al (2022) discovered that raising the rate of economic growth and boosting international commerce are helpful for improving environmental effects.…”
Section: Nardl Long Run Resultsmentioning
confidence: 99%
“…Sun et al (2019), Abbas et al (2022) also considered green innovation, and energy efficiency responsible for the reduction of CO2 emission due to trade. Wang et al (2018), Ali et al (2022) discovered that raising the rate of economic growth and boosting international commerce are helpful for improving environmental effects. Our results are also supported by the findings of (Misaki et al, 2018;Li and Wang, 2019).…”
Section: Nardl Long Run Resultsmentioning
confidence: 99%
“…These factors, such as population and urbanization, are introduced into our model to apprise their contribution to the carbon neutrality targets. As a result, we take into account these two factors while modeling carbon emissions, and as a result, the following is how our basic models are stated for this empirical adventure: our model, therefore, is motivated by (Abbas et al 2022 ; Bonilla et al 2022 ; Doğan et al 2022 ; Domguia et al 2022 ; Fang et al 2022 ; Hájek et al 2019 ). Following that, QQR is used to analyse the link between the indicators in question.…”
Section: Theoretical Framework Empirical Modelling and Data Collectionmentioning
confidence: 99%
“…Formal environmental regulations (Fer). It is particularly important to accurately measure or evaluate the level of environmental regulations in a region and thus select and implement appropriate environmental regulation tools [ 60 ]. Scholars usually measure the environmental regulations of a region using indicators such as the number of environmental regulation policies, the investment cost of pollution control, the pollution control effect of environmental regulations, and the per capita GDP [ 61 , 62 ].…”
Section: Model Configuration and Data Sourcesmentioning
confidence: 99%