College of Computer and Communication, Hunan Institute of Engineering, Xiangtan, China.
Xiangtan Branch of China Mobile Communications Group Hunan Co., LTD, Xiangtan, China.
Environ Sci Pollut Res Int. 2023 Jul;30(32):79363-79375. doi: 10.1007/s11356-023-27808-2. Epub 2023 Jun 7.
Renewable energy has an established role in improving environmental quality and economic growth. However, the nexus between renewable energy, education, and employment have yet to be disclosed in detail. Therefore, our primary focus in this analysis is to investigate the impact of renewable energy investment and education on the employment level in China. The empirical analysis is based on the novel quantile autoregressive distributed lag (QARDL) technique that can measure the estimates across quantiles. From the estimates of the QARDL model, we confer that renewable energy investment and education significantly and positively impact the employment level in China in the long run. In short-run, renewable energy investment does not have any noticeable impact on the employment level, while the rise in the education level help increases the employment rate in China. Moreover, the long-term positive impact of economic growth and information and communications technology (ICT) is more pronounced.
可再生能源在改善环境质量和经济增长方面发挥着重要作用。然而，可再生能源、教育和就业之间的关系尚未详细揭示。因此，我们在本分析中的主要重点是研究可再生能源投资和教育对中国就业水平的影响。实证分析基于新颖的分位数自回归分布滞后 (QARDL) 技术，该技术可以在分位数范围内衡量估计值。从 QARDL 模型的估计值可以看出，从长期来看，可再生能源投资和教育对中国的就业水平有显著的积极影响。从短期来看，可再生能源投资对就业水平没有任何显著影响，而教育水平的提高有助于提高中国的就业率。此外，经济增长和信息与通信技术 (ICT) 的长期积极影响更为明显。
