Resources Policy, Год журнала: 2023, Номер 85, С. 104039 - 104039
Опубликована: Авг. 1, 2023
Язык: Английский
Resources Policy, Год журнала: 2023, Номер 85, С. 104039 - 104039
Опубликована: Авг. 1, 2023
Язык: Английский
Gondwana Research, Год журнала: 2023, Номер 119, С. 138 - 152
Опубликована: Март 21, 2023
Язык: Английский
Процитировано
154Geoscience Frontiers, Год журнала: 2023, Номер 14(4), С. 101564 - 101564
Опубликована: Фев. 4, 2023
The outcome of patents on environmental (POET) technologies the EF in USA has not been comprehensively explored. Therefore, to close this breach literature, present study discovers how ecological affect footprint (EF) while regulatory for GDP and EC using Fourier-based approaches. conclusions reveal that POET are an important predictor cause a reduction deprivation long run; as expected, economic growth negatively affects sustainability. outcomes suggest it is possible resolve conflicts between economy environment by technological innovation. government must reconsider its policy focus, particularly coal energy sourcing industrial energy, continuing with heavy investments ambitious renewable technology development plan. Moreover, should continue promote technologies.
Язык: Английский
Процитировано
96Energy & Environment, Год журнала: 2023, Номер unknown
Опубликована: Дек. 25, 2023
This paper investigates the intricate relationship between artificial intelligence (AI) and green innovation within context of sustainable development goals. As societies strive to achieve sustainability, understanding dynamics technological advancements environmental progress becomes paramount. Drawing from panel data encompassing 51 countries 2000 2019, this study employs fixed-effects models, mediated effects spatial Durbin models meticulously examine influence AI on innovation. The empirical findings reveal a robust significantly positive correlation innovation, highlighting critical role in fostering Heterogeneity analysis across developed developing economies delineates variations impact shedding light economic levels financial structures. Developed nations showcase more pronounced AI-green compared their counterparts, complexities technology adoption distinct landscapes. Moreover, delves into transmission mechanisms underlying nexus, revealing mediating roles industrial structure human capital. Industrial upgrading enhancement capital emerge as crucial pathways through which indirectly stimulates Spatial analyses reveals relevance globally, emphasizing AI's substantial not only domestic spheres but also neighboring regions. There are significant direct, indirect, total its spillover characteristics catalytic it plays driving collaborative global scale. research contributes nuanced insights interplay providing foundation for policymakers, businesses, researchers comprehend multifaceted dimensions interventions emphasize imperative efforts utilizing potential propel thereby advancing sustainability agendas.
Язык: Английский
Процитировано
94Journal of Cleaner Production, Год журнала: 2023, Номер 417, С. 137851 - 137851
Опубликована: Июль 1, 2023
Язык: Английский
Процитировано
93Resources Policy, Год журнала: 2023, Номер 82, С. 103397 - 103397
Опубликована: Март 11, 2023
Язык: Английский
Процитировано
92Journal of Cleaner Production, Год журнала: 2023, Номер 416, С. 137972 - 137972
Опубликована: Июль 3, 2023
Язык: Английский
Процитировано
73Environmental Research, Год журнала: 2023, Номер 231, С. 116034 - 116034
Опубликована: Май 2, 2023
Язык: Английский
Процитировано
65Energy, Год журнала: 2023, Номер 283, С. 129022 - 129022
Опубликована: Сен. 11, 2023
Язык: Английский
Процитировано
47Journal of Environmental Management, Год журнала: 2023, Номер 349, С. 119345 - 119345
Опубликована: Ноя. 9, 2023
This paper analyses the impact of geopolitical risk on carbon dioxide (CO2) emissions inequality in panel dataset 38 developed and developing economies from 1990 to 2019. At this juncture, empirical models control for effects globalisation, capital-labour ratio, per capita income CO2 inequality. The cointegration tests show a significant long-run relationship among related variables models. data regression estimations indicate that risk, increase However, globalisation negatively affects countries. pairwise heterogeneous causality test results align with these benchmark no reverse issue. Potential policy implications are also discussed.
Язык: Английский
Процитировано
44Renewable Energy, Год журнала: 2023, Номер 212, С. 514 - 522
Опубликована: Май 17, 2023
Язык: Английский
Процитировано
43