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28 March 2023 Performance evaluation of low carbon logistics in Guangdong-Hong Kong-Macao Greater Bay Area district based on principal component analysis
Aixia Xu
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Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 1259739 (2023) https://doi.org/10.1117/12.2672605
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China
Abstract
Serving as a mainstay industry of the national economy, the logistics industry entails great accountability for the accomplishment of low carbon development. In accordance with the principal component analysis, this paper evaluates and analyzes the logistics performance levels of eleven cities in the Guangdong-Hong Kong-Macao Greater Bay Area from the low carbon perspective, of which Hong Kong has the highest score and Zhongshan has the lowest score. The logistics performance scores of Hong Kong, Guangzhou, Shenzhen and Macao are all above the average level, while Foshan and Zhongshan are slightly behind.
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Aixia Xu "Performance evaluation of low carbon logistics in Guangdong-Hong Kong-Macao Greater Bay Area district based on principal component analysis", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 1259739 (28 March 2023); https://doi.org/10.1117/12.2672605
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KEYWORDS
Industry
Carbon
Principal component analysis
Matrices
Transportation
Climate change
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