Xu Chaoyi, Li Lan
School of Economics and Management, Anhui University of Science and Technology, Huainan, 232001, China.
Heliyon. 2024 Feb 15;10(4):e26534. doi: 10.1016/j.heliyon.2024.e26534. eCollection 2024 Feb 29.
Under the background of "double carbon", exploring the growth path of green logistics and enhancing the driving force of technological innovation is the urgent need of our country to comply with the green transformation of its economy and realize high-quality economic growth. Taking the panel data of 30 Chinese provinces from 2010 to 2020 as the sample, the green logistics index evaluation system is constructed based on the driver-press-state-impact-response (DPSIR) theoretical framework, and the green economic efficiency of each province in the sample period is measured by using the non-expected output Super- Slacks-based measure (SBM) model, and by constructing the panel vector autoregressive (PVAR) model including technological innovation is used to systematically elaborate the dynamic influence paths among the three. The study found that: China's green economy, technological innovation, and green logistics all have their own mechanisms for growth, which will gradually diminish over time. In the near and long term, green logistics will promote technological innovations and the evolution of a green economy, but there is a lag in the long-term benefits of green logistics on technological progress. In the short term, technological innovation does not lend support to the growth of a green economy, but over time, the impact of technological innovation on the growth of that economy will shift from negative to positive. This shows that improving technological innovation capability is an important path for green logistics to promote green economic efficiency. The findings of the study provide a basis for decision making to achieve the emission reduction target and improve the efficiency of the green economy.
在“双碳”背景下，探索绿色物流的成长路径、增强技术创新驱动力是我国顺应经济绿色转型、实现经济高质量增长的迫切需要。以2010—2020年中国30个省份的面板数据为样本，基于驱动力—压力—状态—影响—响应（DPSIR）理论框架构建绿色物流指数评价体系，运用非期望产出超效率松弛测度（SBM）模型测度样本期内各省份的绿色经济效率，并通过构建包含技术创新的面板向量自回归（PVAR）模型，系统阐述三者之间的动态影响路径。研究发现：中国绿色经济、技术创新、绿色物流均有自身的增长机制，且会随时间推移逐渐减弱。在短期和长期内，绿色物流会促进技术创新和绿色经济的演进，但绿色物流对技术进步的长期效益存在滞后性。短期内，技术创新对绿色经济增长没有支撑作用，但随着时间推移，技术创新对绿色经济增长的影响将由负转正。这表明提升技术创新能力是绿色物流促进绿色经济效率的重要路径。研究结果为实现减排目标、提高绿色经济效率的决策提供了依据。
