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Study on the spatial and temporal evolution of industrial carbon emission efficiency and influencing factors based on improved Adaboost regression algorithm

Guozhi Li

Guozhi Li

School of Business, Wenzhou UniversityWenzhou, China
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Li, Guozhi
, 
Na Yuan

Na Yuan

School of Business, Wenzhou UniversityWenzhou, China
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Yuan, Na
, 
Mengying Jiang

Mengying Jiang

School of Business, Wenzhou UniversityWenzhou, China
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Jiang, Mengying
, 
Shixuan Yan

Shixuan Yan

School of Business, Wenzhou UniversityWenzhou, China
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Yan, Shixuan
 and 
Mengwei Lou

Mengwei Lou

School of Business, Wenzhou UniversityWenzhou, China
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Lou, Mengwei
  
Oct 15, 2023
Study on the spatial and temporal evolution of industrial carbon emission efficiency and influencing factors based on improved Adaboost regression algorithm's Cover Image
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Published Online: Oct 15, 2023
Received: Nov 02, 2022
Accepted: Apr 25, 2023
DOI: https://doi.org/10.2478/amns.2023.2.00654
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© 2023 Guozhi Li et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Language:
English
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Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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