School of Science, Beijing University of Civil Engineering and Architecture, 15 Yongyuan Road, Huangcun Town, Daxing District, Beijing, 102616, China.
Environ Sci Pollut Res Int. 2023 Sep;30(41):93629-93651. doi: 10.1007/s11356-023-28914-x. Epub 2023 Jul 29.
Whether logistics agglomeration and pollution reduction can form a perfect combination in space is one of the important breakthroughs for the successful green transformation of the logistics industry in the future. This paper attempts to clarify the nonlinear change law of logistics agglomeration evolution on environmental quality in China and further clarify the interpretation of informatization and legalization factors on macro-regulatory functions. Based on the panel data of 31 provincial-level administrative regions in China from 2010 to 2020, the empirical verification is carried out by means of two-way fixed effects, quantile regression, instrumental variables, and spatial econometrics. The research finds that (1) there is an inverted U-shaped change trend between logistics agglomeration and environmental quality and the low-level logistics agglomeration period has a blocking effect on pollution emission reduction. However, from the starting point of the sample interval, representative regions such as Beijing and Shanghai gradually break through the bottleneck of logistics agglomeration in the form of a pyramid, which has an incentive effect on pollution emission reduction. The above conclusions are supported by robustness tests in six ways, including eliminating extreme data disturbance, eliminating the impact of the COVID-19, controlling the impact of other factors, pollutant sensitivity testing, avoiding the interference of pollution prevention and control, and correcting the endogenous bias of the model. (2) Further analysis of superimposed spatial effects and regulatory effects shows that regional spillover pollution has spatial dependence in both geographical and economic distribution. The effect of logistics agglomeration also produces an inverted U-shaped spatial spillover effect on the environmental quality of adjacent areas. Both informatization and legalization factors help alleviate the pollution increasing effect in the low-level logistics agglomeration stage. Under the regulatory effect of informatization, the arrival of the critical point for logistics agglomeration and emission reduction will be relatively delayed. Under the regulatory effect of legalization, the arrival of the critical point for logistics agglomeration and emission reduction will be relatively accelerated. (3) There is significant regional heterogeneity in the environmental effects of logistics agglomeration. Each region needs to "suit the remedy to the case" in combination with its own situation to break through the threshold of pollution reduction as soon as possible.
物流集聚与减污能否在空间上形成良性耦合,是未来物流业绿色转型成功的重要突破口之一。本文尝试厘清中国物流集聚演化对环境质量的非线性变化规律,并进一步明晰信息化、法制化因素对宏观调控功能的解释力度。基于 2010—2020 年中国 31 个省际面板数据,借助双向固定效应、分位数回归、工具变量和空间计量等方法进行实证检验。研究发现:(1)物流集聚与环境质量之间存在倒“U”型变化趋势,且低水平物流集聚期对减排存在阻滞效应。但从样本区间起始点来看,北京、上海等代表性地区逐渐以金字塔型突破物流集聚瓶颈,对减排具有激励效应。以上结论在六种稳健性检验中均得到支持,包括剔除极端数据扰动、剔除新冠疫情影响、控制其他因素冲击、污染物敏感性检验、规避污染防治干扰和校正模型内生性偏误。(2)进一步叠加空间效应与规制效应分析发现,区域间污染存在地理与经济分布的双重空间溢出效应,物流集聚的效应也会对相邻地区的环境质量产生倒“U”型空间溢出效应。信息化和法制化因素均有助于缓解物流集聚低级阶段的增污效应,在信息化规制效应下,物流集聚与减排的临界点到达会相对滞后,而在法制化规制效应下,物流集聚与减排的临界点到达会相对提前。(3)物流集聚的环境效应存在显著的区域异质性,各区域需结合自身情况“对症下药”,尽快突破减排的门槛。