基于NPP-VIIRS的西北地区碳排放时空格局及影响因素研究OA

Scientifically estimating urban carbon emissions and identifying their influencing factors is fundamental to formulating regional pol-lution reduction and carbon reduction strategies.To enrich research on urban-scale carbon emissions and provide a reference for the green and low-carbon development of the economy and society in Northwest China,this study used 37 prefecture-level cities(prefectures)in four prov-inces(regions)(Shaanxi,Gansu,Ningxia,and Qinghai)of Northwest China as sample units.Based on nighttime light data,the carbon emissions of each prefecture-level city from 2012 to 2022 were estimated,and their spatiotemporal patterns were analyzed.A spatial econo-metric model was constructed,and the influencing factors of carbon emissions were analyzed based on panel data from the four provinces(re-gions).The results show that:a)Carbon emissions in Northwest China generally showed an increasing trend during the study period,with Shaanxi showing the largest base and the largest increase in carbon emissions,while carbon emissions in Qinghai were relatively low and showing a decreasing trend.b)Carbon emissions varied greatly among provinces(regions)and prefecture-level cities(prefectures)in North-west China.During the study period,the total carbon emissions of the four provinces(regions)were ranked as follows:Shaanxi>Ningxia>Gansu>Qinghai,maintaining a spatial pattern of higher emissions in the east and lower emissions in the west.c)Carbon emissions in pre-fecture-level cities(prefectures)in Northwest China showed a significant positive spatial correlation,mainly exhibiting high-high and low-low clustering.d)Technological progress and industrial upgrading had a suppressive effect on carbon emissions in Northwest China,but the sup-pressive effect was not significant.e)Urbanization,fossil energy consumption,and economic development were the main factors contributing to the growth of carbon emissions in Northwest China.This study recommends strengthening research on carbon reduction technologies,promoting"substantial"industrial structure upgrading,optimizing energy structure,and optimizing urbanization development models.