Zhang Yuan, Yu Zhen, Zhang Juan
School of Management, China University of Mining & Technology (Beijing), Beijing, China.
State Key Laboratory of Precision Measuring Technology and Instrument, Tianjin University, Tianjin, China.
Environ Sci Pollut Res Int. 2022 Apr;29(20):29976-29992. doi: 10.1007/s11356-021-17935-z. Epub 2022 Jan 8.
To explore the sources of regional carbon emission differences and the evolution characteristics of spatial heterogeneity pattern, this paper first calculates the corresponding carbon emissions according to the relevant statistical data of eight economic regions in China from 2005 to 2019. It analyzes the overall differences and temporal and spatial evolution characteristics of regional carbon emissions combined with the visualization method of GIS. Then, the total carbon emission difference is decomposed by the Theil index to find out the primary sources affecting the regional carbon emission difference. Finally, the driving factors affecting the spatial heterogeneity pattern of regional carbon emissions are studied with the help of the Geodetector method. The results show that (1) significant differences in carbon emissions among China's eight economic regions. The contribution rate of inter-regional and intra-regional differences of carbon emissions in different regions to the overall carbon emission difference is diverse. (2) Regional carbon emissions are affected by single driving factors and the interaction of two driving factors. The interaction has an increasing impact on the determinant of regional carbon emission spatial differentiation. (3) The factor detection results and interaction detection results, respectively, show that the level of energy consumption, industrialization, and technological development has always been the main driving factors affecting the spatial heterogeneity pattern of regional carbon emissions, and the critical interaction factors have multiple spatial superposition interaction effects. Therefore, regional carbon emission reduction should consider the national strategic objectives and own regional characteristics and implement differentiated emission reduction schemes.
为探究区域碳排放差异的来源及空间异质性格局的演变特征，本文首先根据2005—2019年中国八大经济区域的相关统计数据计算相应的碳排放量，结合GIS可视化方法分析区域碳排放的总体差异及时空演变特征；然后利用泰尔指数对碳排放总量差异进行分解，找出影响区域碳排放差异的主要来源；最后借助地理探测器方法研究影响区域碳排放空间异质性格局的驱动因素。结果表明：（1）中国八大经济区域间碳排放存在显著差异，不同区域碳排放的区域间差异和区域内差异对总体碳排放差异的贡献率各不相同；（2）区域碳排放受单一驱动因素及两个驱动因素交互作用的影响，交互作用对区域碳排放空间分异的决定性作用不断增强；（3）因子探测结果和交互探测结果分别表明，能源消耗水平、工业化水平和技术发展水平一直是影响区域碳排放空间异质性格局的主要驱动因素，关键交互作用因素具有多种空间叠加交互效应。因此，区域碳排放减排应兼顾国家战略目标和自身区域特点，实施差异化减排方案。
