基于夜间灯光数据的西部地区碳排放时空格局及影响因素研究  

Research on the Spatial and Temporal Pattern of Carbon Emission and Influencing Factors in Western China Based on Night Lighting Data

作　　者：姚小剑[1] 张艳丽 YAO Xiaojian;ZHANG Yanli(School of Economics and Management,Xi’an Shiyou University,Xi’an 710000,China)

机构地区：[1]西安石油大学经济管理学院,西安710000

出　　处：《科技和产业》2025年第8期235-241,共7页Science Technology and Industry

摘　　要：研究西部地区碳排放时空格局和影响因素对“双碳目标”实现意义深远。使用2000—2022年西部地区11个省份的面板数据,基于夜间灯光数据研究碳排放时空格局,并运用扩展随机环境影响评估(STIRPAT)模型探究碳排放的影响因素。研究发现:西部总碳排放量持续上升,区域差异明显;西部碳排放存在显著的高-高、低-低集聚;虽然西部各省份碳排放影响因素呈现显著差异,但能源结构是碳排放增长的主要因素,产业结构对碳排放起抑制作用。The study of the spatial and temporal patterns of carbon emissions and the influencing factors in the western region is of great significance to the realization of the“double carbon target”.In this paper,the panel data of 11 provinces in the western region from 2000 to 2022 was used to study the spatial and temporal patterns of carbon emissions based on the nighttime lighting data,and the extended STIRPAT model was used to explore the influencing factors of carbon emissions.It is found that the total carbon emissions in the west continue to rise,with obvious regional differences.There is significant high-high and low-low agglomeration of carbon emissions in the west.Although the influencing factors of carbon emissions among the western provinces,municipalities,and autonomous regions show significant differences,the energy structure is the main factor for the growth of carbon emissions,and the industrial structure plays an inhibitory effect.

关 键 词：西部地区 碳排放 时空格局 影响因素 STIRPAT模型 

分 类 号：F832.6[经济管理—金融学] F752.6