| Makale Türü | Özgün Makale |
| Makale Alt Türü | SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale |
| Dergi Adı | Renewable Energy |
| Dergi ISSN | 0960-1481 Wos Dergi Scopus Dergi |
| Dergi Tarandığı Indeksler | SCI-Expanded |
| Dergi Grubu | Q1 |
| Makale Dili | İngilizce |
| Basım Tarihi | 05-2024 |
| Cilt No | 228 |
| Sayı | 1 |
| DOI Numarası | 10.1016/j.renene.2024.120623 |
| Makale Linki | https://www.sciencedirect.com/science/article/pii/S0960148124006918 |
| Özet |
| The purpose of this study is to look at how China's increased use of wind energy and fossil fuel efficiency is affecting the environment. In this direction, novel quantile-based techniques and machine learning algorithm-based approaches are used to examine the effects of real national income, natural resource rent, and trade globalization on carbon emissions, in addition to the technological advancements in wind energy and fossil energy efficiency during the period 2000–2020. According to the averaged findings, carbon emissions are increased by natural resource rent and economic growth. On the other hand, environmental damage is being lessened by trade globalization, wind energy advances, and fossil energy efficiency. Furthermore, quantile-based results show that in the highest quantiles of environmental degradation, wind energy technology has a far stronger mitigating effect. In a similar vein, improving the efficiency of fossil fuels lowers overall carbon emissions, and this decrease becomes more apparent as carbon emissions rise. |
| Anahtar Kelimeler |
| CO2 emissions | Fossil energy efficiency | Quantile-based techniques | Trade globalization | Wind energy innovations |
| Dergi Adı | Renewable Energy |
| Yayıncı | Elsevier Ltd |
| Açık Erişim | Hayır |
| ISSN | 0960-1481 |
| E-ISSN | 1879-0682 |
| CiteScore | 18,4 |
| SJR | 1,923 |
| SNIP | 1,934 |