Rao Yingxue, Zhong Yi, He Qingsong
College of Public Administration, South-Central University for Nationalities, Wuhan, 430074, Hubei Province, People's Republic of China.
Research Center of Hubei Ethnic Minority Areas Economic and Social Development, South-Central University for Nationalities, Wuhan, 430074, Hubei Province, People's Republic of China.
Environ Sci Pollut Res Int. 2023 Oct;30(48):105166-105180. doi: 10.1007/s11356-023-29634-y. Epub 2023 Sep 15.
The development of urban low carbonization is an important foundation for achieving the goal of "dual carbon." The differences in spatial differences based on scientific methods revealing the characteristics of urban carbon emissions and its efficiency are of great significance for shaping the green low-carbon land space pattern. This article uses urban standard models and scale adjustments to the urban index (SAMIs) identification in 2006-2017 308 Chinese urban carbon discharge standards and efficiency time and space evolution pattern and their characteristics. The results of the study show that there is a stable secondary relationship between carbon emissions and urban population scale, which means that the growth rate of urban carbon emissions is significantly lagging behind the growth of urban systems. The analysis of urban carbon emission efficiency based on SAMI values shows significant spatial heterogeneity: the carbon emission efficiency of cities in North China, East China, and Northeast China is lower than that of other regions. In terms of temporal changes, there was a phenomenon of SAMI high-value cities moving north and low-value cities moving south between 2006 and 2017, and △SAMIs showed a pattern of hot in the west and cold in the east. This study broadens the applicability of urban scaling law models in urban environmental research, providing a new perspective for evaluating urban carbon emission efficiency and China's energy conservation and emission reduction work.
城市低碳化发展是实现“双碳”目标的重要基础。基于科学方法揭示城市碳排放特征及其效率的空间差异，对于塑造绿色低碳土地空间格局具有重要意义。本文运用城市标准模型和城市指数尺度调整（SAMIs）识别2006—2017年中国308个城市碳排放标准及效率的时空演变格局及其特征。研究结果表明，碳排放与城市人口规模之间存在稳定的二次关系，即城市碳排放增长速度显著滞后于城市系统增长。基于SAMIs值的城市碳排放效率分析显示出显著的空间异质性：华北、华东和东北地区城市的碳排放效率低于其他地区。在时间变化方面，2006—2017年存在SAMI高值城市北移、低值城市南移的现象，且△SAMIs呈现出西部热东部冷的格局。本研究拓宽了城市尺度法则模型在城市环境研究中的适用性，为评估城市碳排放效率及中国节能减排工作提供了新视角。
