College of Tourism, Hunan Normal University, Changsha, 410081, China.
College of Tourism, Central South University of Forestry and Technology, Changsha, 410004, China.
Environ Sci Pollut Res Int. 2023 Dec;30(58):121713-121733. doi: 10.1007/s11356-023-30674-7. Epub 2023 Nov 13.
Improving urban carbon emission efficiency (CEE) is vital to achieving the goal of urban carbon neutrality. However, the synergistic configurational effect of multiple influencing factors on CEE is not clear. Taking the Yangtze River Economic Belt (YREB) as an example, this paper adopts the standard deviation ellipse and Dagum Gini coefficient method to investigate the spatiotemporal differences in urban CEE in the YREB, and using the fuzzy-set qualitative comparative analysis (fsQCA) method, it explores the configurational effect of CEE influencing factors from the system perspective. The main conclusions are as follows: first, the overall level of urban CEE in the YREB is low, with a certain polarization phenomenon. Second, the relative differences in urban CEE in the YREB show a fluctuating upward trend, and the regional differences mainly originate from the overlapping part between regions. Finally, the main CEE influencing factors do not act in isolation, they constitute a complex process of synergistic interaction, with complementary substitution and causal asymmetry.
提高城市碳排效率（CEE）对实现城市碳中和目标至关重要。然而，多种影响因素对 CEE 的协同配置效应尚不清楚。以长江经济带（YREB）为例，本文采用标准差椭圆和达古基尼系数方法，研究了 YREB 城市 CEE 的时空差异，并采用模糊集定性比较分析（fsQCA）方法，从系统角度探讨了 CEE 影响因素的配置效应。主要结论如下：首先，YREB 城市 CEE 的整体水平较低，存在一定的极化现象。其次，YREB 城市 CEE 的相对差异呈波动上升趋势，区域差异主要源于区域重叠部分。最后，主要的 CEE 影响因素并非孤立作用，它们构成了一个协同互动的复杂过程，具有互补替代和因果非对称。
