College of Economics and Management, Taiyuan University of Technology

人类活动改变土地利用类型是碳排放增加的主要原因之一,以土地利用视角探讨碳排放的时空格局与影响机制有助于“双碳”目标的实现。基于山西省2005—2020年4期的土地利用碳排放遥感影像数据,借助ESTDA方法和LMDI分解模型对山西省土地利用碳排放的时空演化及跃迁机制特征和影响因素进行研究。结果表明:① 2005—2020年山西省各地级市的土地利用碳排放量逐期递增,但空间分布格局基本保持不变。② 山西省土地利用碳排放的整体空间格局和空间依赖方向均较为稳定,但阳泉、长治、晋城和晋中碳排放的空间格局较为波动,朔州的空间依赖方向较为波动;整体空间格局的演化空间整合性较强,空间凝聚性较高,具有较强的路径依赖特征。③ 山西省土地利用碳排放强度的影响程度在逐期上升,占主导的正向促进作用,而用地水平、经济发展水平以及人口数量起负向的阻碍作用。

The change of land use type by human activities is one of the main reasons for the increase of carbon emissions. It is helpful to realize the goal of "double carbon" to explore the spatial-temporal pattern and influencing mechanism of carbon emissions from the perspective of land use. Based on the remote sensing image data of land-use carbon emissions in Shanxi Province from 2005 to 2020, the temporal and spatial evolution, transition mechanism characteristics and influencing factors of land-use carbon emissions in Shanxi Province were studied by ESTDA method and LMDI decomposition model.The results show that: ① From 2005 to 2020, the carbon emissions of land use in various prefecture-level cities in Shanxi Province increased year by year, but the spatial distribution pattern remained basically unchanged. ② The overall spatial pattern and spatial dependence direction of carbon emissions from land use in Shanxi Province are relatively stable, but the spatial pattern of carbon emissions from Yangquan, Changzhi, Jincheng and Jinzhong fluctuates, and the spatial dependence direction of Shuozhou fluctuates; The evolution of the overall spatial pattern has strong spatial integration, high spatial cohesion and strong path dependence characteristics.③ The influence degree of carbon emission intensity of land use in Shanxi Province is increasing gradually, which plays a leading positive role, while land use level, economic development level and population number play a negative role.

孔淑娟, 薛晔. 基于土地利用的山西省碳排放时空跃迁与影响因素分析. 煤炭经济研究. 2024, 44(5): 75-82

KONG Shujuan, XUE Ye. Spatial-temporal transition of carbon emission and its influencing factors in Shanxi Province based on land use. Coal Economic Research. 2024, 44(5): 75-82