Reinvestigating the Spatiotemporal Differences and Driving Factors of Urban Carbon Emission in China

This study analyzed the spatiotemporal differences and driving factors of carbon emission in China’s prefecture-level cities for the period 2003–2019. In doing so, we investigated the spatiotemporal differences of carbon emission using spatial correlation analysis, standard deviation ellipse, and Da...

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Bibliographic Details

Published in:	Frontiers in Environmental Science
Main Authors:	Ke-Liang Wang, Ru-Yu Xu, Fu-Qin Zhang, Yun-He Cheng
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-04-01
Subjects:	urban carbon emissions spatiotemporal differences driving factors geographical detector model interaction
Online Access:	https://www.frontiersin.org/articles/10.3389/fenvs.2022.880527/full