Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(19), С. 56863 - 56878
Опубликована: Март 16, 2023
Язык: Английский
Environmental Science and Pollution Research, Год журнала: 2023, Номер 30(19), С. 56863 - 56878
Опубликована: Март 16, 2023
Язык: Английский
Resources Policy, Год журнала: 2023, Номер 82, С. 103445 - 103445
Опубликована: Апрель 3, 2023
Язык: Английский
Процитировано
249Gondwana Research, Год журнала: 2023, Номер 119, С. 138 - 152
Опубликована: Март 21, 2023
Язык: Английский
Процитировано
151Gondwana Research, Год журнала: 2022, Номер 113, С. 53 - 70
Опубликована: Окт. 28, 2022
Язык: Английский
Процитировано
144Geoscience Frontiers, Год журнала: 2023, Номер 14(6), С. 101667 - 101667
Опубликована: Июль 7, 2023
The correlation between technological innovation, economic growth, renewable energy, and ecological footprint carries significant policy implications for environmental sustainability. Furthermore, financial inclusion can drastically affect the technology-climate nexus across different countries its moderating impacts have received sufficient attention. To do this, this study examined how inclusion, energy affected emerging economies' from 1990 to 2019. Additionally, also scrutinizes role of with other regressors on footprint. account structural shifts, disguised cointegration, numerous breaks in panel regression, applies advanced estimation methods empirical analysis. estimated outcomes exhibit that influence technical climate technologies, significantly reduces levels. Besides, growth increase levels economies. integration innovative technology mitigates adverse effects by making it easier creative technologies reducing footprints. These results show countries' sources should be integrated enable long-term mitigation damages sustainable growth. Based these findings, research recommends economies hasten innovations along stronger development curtail concerns without hindering pace
Язык: Английский
Процитировано
118Resources Policy, Год журнала: 2023, Номер 81, С. 103382 - 103382
Опубликована: Фев. 21, 2023
Язык: Английский
Процитировано
101Progress in Nuclear Energy, Год журнала: 2022, Номер 156, С. 104533 - 104533
Опубликована: Дек. 15, 2022
Язык: Английский
Процитировано
100Sustainable Development, Год журнала: 2023, Номер unknown
Опубликована: Июнь 27, 2023
Abstract The quest for attaining ‘sustainable development goals (SDGs)’, especially ‘SDG‐13’, which addresses the policy towards lessening risk of climate change, is impossible without abating CO 2 emissions, are a major contributor to change globally. Thus, this study inspects decisive role played by renewable energy use, green finance, and political stability in achieving SDG‐13 emissions 14 emerging economies from 1990 2021. We have used cross‐sectional autoregressive distributed lag method moments quantile regression estimators analyse impact explanatory variables on dependent variable, considering probable endogeneity issue model. outcome signifies that consumption finance substantially reduce whereas observed positive emissions. Moreover, moderation effect found reducing carbon This thus suggests need stronger system promote financing attain SDGs addressing policy.
Язык: Английский
Процитировано
75International Journal of Environmental Science and Technology, Год журнала: 2022, Номер 20(9), С. 9663 - 9682
Опубликована: Ноя. 20, 2022
Язык: Английский
Процитировано
71Environment Development and Sustainability, Год журнала: 2023, Номер 26(8), С. 21595 - 21621
Опубликована: Июль 9, 2023
Язык: Английский
Процитировано
69Energy Reports, Год журнала: 2023, Номер 10, С. 1672 - 1687
Опубликована: Авг. 22, 2023
This study aims to investigate the nexus between green growth, technological innovation, energy policy stringency, renewable energy, and carbon net-zero emission targets with a special emphasis on world's two largest pollution emitter economies, (i.e., United States China). For this reason, quarterly data all relevant variables were collected from 2012Q1–2020Q4. Because of its various benefits, including displaying causation patterns based shifting quantiles like technical environmental employed quantile autoregressive distributed lag (QARDL) method. Using Quantile-ARDL method, determined that error correction coefficient was strongly negatively correlated across quantiles. Green as well has significant negative effect long-term predictions dioxide emissions for both in China. Furthermore, causality test demonstrated bidirectional causal relationship among emissions, energy. Based these estimated findings, recomends suggestions achieve number Sustainable Development Goals (SDGs).
Язык: Английский
Процитировано
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