School of Management, Jiangsu University, Zhenjiang, 212013, People's Republic of China.
Centre for Design, Cranfield University, Cranfield, Bedfordshire, MK430AL, UK.
Environ Sci Pollut Res Int. 2023 Nov;30(54):115571-115584. doi: 10.1007/s11356-023-30434-7. Epub 2023 Oct 26.
Global warming, a persistent issue, needs comprehensive solutions. Shifting to sustainable resources and promoting green initiatives like green logistics, green investments, and environmental policies (such as environmental technology and environmental tax) are potential ways to address this challenge. The current study explores relationships between these factors and transportation emissions in China, with a focus on achieving the 2060 carbon neutrality goal. To investigate the research gap, the study employs the novel econometric, method of moments quantile regression (MMQR) for benchmark estimation and the bootstrap quantile regression (BSQR) technique for sensitivity estimations from 2000/Q1 to 2019/Q4, and the study confirms the hypothesis of "carbon neutrality." The results reveal that green logistics and green finance have a negative impact on transportation emissions across all quantiles. Environmental technology, environmental tax, and renewable energy also help reduce transportation emissions. On the contrary, economic growth increases transportation emissions, with a greater effect in the early quantile stages but a diminishing impact in later stages. Based on the study's findings, policymakers should prioritize sustainable development strategies to achieve the goal of "carbon neutrality." Implementing green logistics and promoting green investments are essential steps in this direction. Additionally, greater support should be given to the renewable energy sector, green technologies, and sustainable growth to achieve the carbon neutrality goal in China by 2060.
全球变暖是一个长期存在的问题,需要综合的解决方案。转向可持续资源,并推广绿色倡议,如绿色物流、绿色投资和环境政策(如环境技术和环境税),是应对这一挑战的潜在方法。本研究探讨了这些因素与中国交通运输排放之间的关系,重点是实现 2060 年碳中和目标。为了研究这一差距,本研究采用了新的计量经济学方法——矩量分位数回归(MMQR)进行基准估计,并采用自举分位数回归(BSQR)技术进行敏感性估计,时间范围为 2000 年第一季度至 2019 年第四季度,并验证了“碳中和”的假设。结果表明,绿色物流和绿色金融对所有分位数的交通运输排放都有负面影响。环境技术、环境税和可再生能源也有助于减少交通运输排放。相反,经济增长增加了交通运输排放,在早期分位数阶段的影响更大,但在后期分位数阶段的影响逐渐减弱。基于研究结果,政策制定者应优先考虑可持续发展战略,以实现“碳中和”目标。实施绿色物流和促进绿色投资是实现这一目标的重要步骤。此外,应加大对可再生能源、绿色技术和可持续增长的支持力度,以实现中国在 2060 年前实现碳中和的目标。