The figure depicts the changes in energy-related carbon emissions in Xinjiang from 2005 to 2020 (GS (2024)0650), where the boundaries represent the division between central urban areas and municipalities, indicating (① Changji Hui Autonomous Prefecture; ②Bayingolin Mongol Autonomous Prefecture; ③ Ili Kazakh Autonomous Prefecture; ④ Tacheng).

<p>The figure depicts the changes in energy-related carbon emissions in Xinjiang from 2005 to 2020 (GS (2024)0650), where the boundaries represent the division between central urban areas and municipalities, indicating (① Changji Hui Autonomous Prefecture; ②Bayingolin Mongol Autonomous Prefect...

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Bibliographic Details
Main Author:	Jie Song (60883) (author)
Other Authors:	Xin He (48101) (author), Fei Zhang (85787) (author), Weiwei Wang (105069) (author), Ngai Weng Chan (19950010) (author), Jingchao Shi (1938724) (author), Mou Leong Tan (16954874) (author)
Published:	2024
Subjects:	Ecology Sociology Inorganic Chemistry Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Chemical Sciences not elsewhere classified standard deviation ellipse significant regional differences promoting industrial transformation past 15 years rapid economic development total carbon emissions related carbon emissions optimizing energy structures dominated energy structure carbon economic development growth rate fluctuated carbon emission areas energy carbon emissions paper integrates dmsp energy consumption intensity clear spatial clustering carbon emissions energy consumption economic growth peripheral areas clustering stabilized spatial variations spatial distribution spatial autocorrelation xlink "> urban agglomerations sized towns showing distinct short term results show provincial capitals provincial capital primary source population size mainly located later showed key cities higher frequencies generate long findings provided distribution characteristics continue rising concentrated around closely linked
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