Academic Affairs Office, Minzu University of China, Beijing, 100081, China.
Policy and Economy Research Institute, China Academy of Information and Communications Technology, Beijing, 100191, China.
Environ Sci Pollut Res Int. 2023 Sep;30(43):97965-97976. doi: 10.1007/s11356-023-28996-7. Epub 2023 Aug 21.
Due to the pressing need to combat climate change, reaching carbon neutrality-defined as having net-zero greenhouse gas emissions-has elevated to the status of a worldwide priority. While non-financial policies concentrate on regulation and incentives to promote environmentally friendly behavior, green financial policies strive to move investment toward low-carbon and sustainable initiatives. Therefore, the study aims to examine how green financial and non-financial policies affect carbon neutrality in China from 1995 to 2021. For analyzing the linear and nonlinear estimates, the study has employed the autoregressive distributed lag (ARDL) and nonlinear autoregressive distributed lag (NARDL) frameworks. The findings suggest that in the linear framework, green finance policies and environmental policy stringency encourage renewable energy consumption and discourage CO2 emissions. In the nonlinear framework, the positive shocks in the green finance policies and environmental policy stringency increase renewable energy consumption, and the negative shock in both types of policies discourages renewable energy consumption. In the CO2 model, a positive shock in green finance policies and environmental policy stringency reduces CO2 emissions, and a negative change in both these policies is insignificant. Since the positive and negative changes in both these policies significantly and differently impact renewable energy consumption and CO2 emissions; thus, policymakers should take into account positive and negative changes in both these policies while formulating policies for carbon neutrality targets in China.
由于应对气候变化的迫切需要,实现碳中和——即温室气体净零排放——已成为全球首要任务。虽然非金融政策侧重于监管和激励措施以促进环保行为,但绿色金融政策则致力于推动投资向低碳和可持续倡议转移。因此,本研究旨在探讨 1995 年至 2021 年期间,中国的绿色金融和非金融政策如何影响碳中和。为了分析线性和非线性估计,本研究采用了自回归分布滞后 (ARDL) 和非线性自回归分布滞后 (NARDL) 框架。研究结果表明,在线性框架下,绿色金融政策和环境政策严格性鼓励可再生能源消费并抑制二氧化碳排放。在非线性框架下,绿色金融政策和环境政策严格性的正冲击会增加可再生能源消费,而这两种政策的负冲击则会抑制可再生能源消费。在二氧化碳模型中,绿色金融政策和环境政策严格性的正冲击会减少二氧化碳排放,而这两种政策的负变化则不显著。由于这两种政策的正、负变化对可再生能源消费和二氧化碳排放的影响显著且不同;因此,政策制定者在制定中国碳中和目标的政策时,应考虑这两种政策的正、负变化。