Reshaping China’s inclusive and sustainable growth landscape through green energy innovation in the digital era
Yazarlar (5)
Ye Fang Fuzhou University Of Foreign Studies And Trade, Çin
Guibin Luo
Fujian University Of Technology, Çin
Fujian University Of Technology, Çin
Doç. Dr. Emrah SOFUOĞLU Kırşehir Ahi Evran Üniversitesi, Türkiye
James Tumba Henry Adamawa State University, Mubi, Nijerya
M. I. Shah
Independent Researcher, Bangladeş
Independent Researcher, Bangladeş
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Environment Development and Sustainability (Q2) | ||
| Dergi ISSN | 1387-585X Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | Türkçe | Basım Tarihi | 12-2024 |
| Cilt / Sayı / Sayfa | 0 / 1 / 1–27 | DOI | 10.1007/s10668-024-05853-2 |
| Makale Linki | https://doi.org/10.1007/s10668-024-05853-2 | ||
| Özet |
| China faces increasing pressure to obtain inclusive and sustainable growth as it is one of the largest producers of carbon dioxide (CO2) emissions globally. This paper aims to simplify the trend of inclusive and sustainable growth in China by focusing on the impact of green energy technology, financial development, structural transformation, digital economy and public sector corruption as the determining factors. The study adopts a sample period from 1990 to 2018. It employs advanced dynamic autoregressive distributed lag (ARDL) model techniques with counterfactual shocks and a kernel regularized least squares regression machine learning algorithm. The findings reveal that green energy technology positively and significantly affects China’s inclusive and sustainable growth in the long run. However, the short-run coefficient of the dynamic ARDL model reveals an insignificant outcome. In addition, digital … |
| Anahtar Kelimeler |
| China | Digital economy | Finance | Inclusive growth | Machine learning | Sustainability |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 4 |
| Scopus | 2 |
| Web of Science | 3 |