College of Economics and Management, China University of Petroleum (East China), Qingdao 266580, China.
College of Economics and Management, China University of Petroleum (East China), Qingdao 266580, China.
Sci Total Environ. 2021 Sep 1;785:147109. doi: 10.1016/j.scitotenv.2021.147109. Epub 2021 Apr 15.
This study analyzed the comprehensive impact of renewable energy investment on carbon emissions in China. To achieve this, a nonparametric additive regression model was built. Using the STIRPAT model, we considered six influencing factors: economic growth, industrialization level, urbanization level, population aging, trade openness, and renewable energy investment. This enabled the exploration of the existence, direction, and intensity of the impact of renewable energy investment on carbon emissions. The results of the linear component of the model showed that renewable energy investment can slightly reduce carbon emissions. The results of the nonlinear component of the model showed that the impacts of renewable energy investment on carbon emissions were inconsistent at different stages of the investment. In the early stage, the renewable energy investment can increase carbon emissions. In the middle stage, the renewable energy investment begins to play a role in reducing emissions. In the later stage, renewable energy investment may be associated with increased carbon emissions again. The relationship between carbon emissions and the other five influencing factors can be represented by an inverted U-shaped curve, a U-shaped curve, or a slow rising curve. The results above provide useful references to adjust renewable energy investment and reduce carbon emissions.
本研究分析了可再生能源投资对中国碳排放的综合影响。为此，构建了一个非参数加法回归模型。利用 STIRPAT 模型，考虑了六个影响因素：经济增长、工业化水平、城市化水平、人口老龄化、贸易开放度和可再生能源投资。这使得探索可再生能源投资对碳排放的存在、方向和强度成为可能。模型线性部分的结果表明，可再生能源投资可以略微减少碳排放。模型非线性部分的结果表明，可再生能源投资对碳排放的影响在投资的不同阶段不一致。在早期阶段，可再生能源投资可能会增加碳排放。在中期阶段，可再生能源投资开始发挥减排作用。在后期阶段，可再生能源投资可能再次与碳排放增加相关。碳排放与其他五个影响因素之间的关系可以用倒 U 形曲线、U 形曲线或缓慢上升曲线来表示。以上结果为调整可再生能源投资和减少碳排放提供了有益的参考。
