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Distribution characteristics and spatial correlation effects of transportation carbon emissions in Western China based on spatiotemporal evolution
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Haixiu GONG, Wei FU*
Science & Technology Review | 2025, 43(19) : 125 - 128
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Science & Technology Review | 2025, 43(19): 125-128
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Distribution characteristics and spatial correlation effects of transportation carbon emissions in Western China based on spatiotemporal evolution
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Haixiu GONG, Wei FU*
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  • School of Economics and Management, Southwest Forestry University, Kunming 650000, China
Published: 2025-10-13 doi: 10.3981/j.issn.1000-7857.2024.07.00789
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Taking western China as the research object, based on provincial panel data from 2013 to 2022, this study employs the "top−down" method to estimate transportation carbon emissions. Using the natural breaks method, standard deviational ellipse, and global Moran’s index, the evolution characteristics of transportation carbon emissions in western China are systematically analyzed from three dimensions: spatiotemporal distribution, center−of−gravity migration, and spatial correlation. The results show that transportation carbon emissions in western China generally exhibit a slow growth trend, with a spatially uneven distribution pattern characterized by "high in the north and south, low in the middle". The center of carbon emissions has shifted from the northwest to the southwest, demonstrating a clear centripetal aggregation trend. The findings provide a scientific basis for formulating differentiated and coordinated transportation carbon reduction policies in western China.

transportation carbon emissions in Western China  /  regional imbalance  /  center−of−gravity shift  /  spatial autocorrelation
Haixiu GONG, Wei FU. Distribution characteristics and spatial correlation effects of transportation carbon emissions in Western China based on spatiotemporal evolution[J]. Science & Technology Review, 2025 , 43 (19) : 125 -128 . DOI: 10.3981/j.issn.1000-7857.2024.07.00789
Year 2025 volume 43 Issue 19
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Article Info
doi: 10.3981/j.issn.1000-7857.2024.07.00789
  • Receive Date:2024-07-04
  • Online Date:2025-12-18
  • Published:2025-10-13
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History
  • Received:2024-07-04
  • Revised:2024-08-26
  • Accepted:2025-09-18
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    School of Economics and Management, Southwest Forestry University, Kunming 650000, China
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Number of
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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