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Spatial-temporal Distribution and Influencing Factors of urban carbon emissions under the Background of carbon Emission Reduction:A Case Study of Guangxi Autonomous Region

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Journal of Resources and Ecology 2024年第4期15卷 870-879页

作者： ZHOU Xinran WANG Jinye HE Wen WEI Qingqing YANG Yihui School of Tourism and Landscape Architecture Guilin University of TechnologyGuilinGuangxi 541006China Guangxi Key Laboratory of Karst Plant Conservation and Restoration Ecology Guangxi Institute of BotanyChinese Academy of SciencesGuilinGuangxi 541006China

Based on the panel data of Guangxi from 2005 to 2017,the spatiotemporal characteristics and determinants of urban carbon emissions in Guangxi were analyzed using the extended STIRPAT model and the Geographically and Temporally Weighted Regression(GTWR)*** main findings of our research can be summarized as *** the total carbon emissions of cities in Guangxi consistently increased from 2005 to 2014,the growth trend slowed after 2014,leading to a stabilization in the total *** addition,there are significant differences in the total carbon emissions among the *** central and northeastern regions have higher emissions,while the southwestern region has lower ***,there are variations in the degrees and directions of the impacts that factors have on carbon emissions among the different time periods and *** land use is a key factor driving carbon emissions,and it has a negative impact on most cities in ***,factors such as industrial structure,population urbanization,population concentration,and economic growth have significant positive effects on carbon emissions in *** influence of urban roads on carbon emissions is generally positive,while the degree of openness to the outside world and environmental regulations has relatively weaker impacts on *** summary,in order to promote the low-carbon transition of Guangxi and achieve high-quality development,the cities in Guangxi should implement differentiated urban carbon reduction strategies that are focused on optimizing urban land use and industrial structure.

关键词： urban carbon emissions GTWR model improved SPIRPAT model influencing factor Guangxi

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