Shaoxing University Yuanpei College, Shaoxing, Zhejiang Province, 312000, China.
School of Economics, Quaid-I-Azam University, Islamabad, Pakistan.
Environ Sci Pollut Res Int. 2023 Jun;30(28):72664-72674. doi: 10.1007/s11356-023-27205-9. Epub 2023 May 13.
In recent times, the concept of green growth has emerged, which has a critical part to play in controlling the environmental impact of economic activities. In this analysis, we have explored three determinants of green growth: green finance investment, technological capital, and renewable energy. Moreover, this study focuses on the asymmetric impact of green finance investment, technological progress, and renewable energy on green growth in China during the period spanning from 1996 to 2020. To get the asymmetric short and long-run estimates across various quantiles, we have employed the nonlinear QARDL. The long-run estimates attached to a positive shock in green finance investment, renewable energy demand, and technological capital are positively significant at most quantiles. While, the long-run estimates attached to a negative shock in green finance investment, technological capital, and renewable energy demand are insignificant at most quantiles. In general, the findings suggest that the rise in green financial investment, technological capital, and renewable energy demand positively impacts green growth in the long run. The study offers a range of significant policy recommendations that can contribute to the advancement of sustainable green growth in China.
近年来,绿色增长的概念已经出现,它在控制经济活动对环境的影响方面起着至关重要的作用。在本分析中,我们探讨了绿色增长的三个决定因素:绿色金融投资、技术资本和可再生能源。此外,本研究侧重于 1996 年至 2020 年期间中国绿色金融投资、技术进步和可再生能源对绿色增长的不对称影响。为了在各个分位数上获得不对称的短期和长期估计,我们采用了非线性 QARDL。在绿色金融投资、可再生能源需求和技术资本的正冲击下,长期估计在大多数分位数上具有显著的正相关关系。而在绿色金融投资、技术资本和可再生能源需求的负冲击下,长期估计在大多数分位数上并不显著。总的来说,这些发现表明,绿色金融投资、技术资本和可再生能源需求的增加将对长期绿色增长产生积极影响。本研究提出了一系列重要的政策建议,有助于推动中国可持续绿色增长的发展。