Exploring the impact mechanism of low-carbon multivariate coupling system in Chinese typical cities based on machine learning.

Yang, Haonan; Chen, Liang; Huang, Huan; Tang, Panyu; Xie, Hua; Wang, Chu

Yang, Haonan; Chen, Liang; Huang, Huan; Tang, Panyu; Xie, Hua; Wang, Chu.

Affiliation

Yang H; School of Finance and Accounting, Chengdu Jincheng College, Chengdu, 610097, China.
Chen L; School of Finance and Accounting, Chengdu Jincheng College, Chengdu, 610097, China. chenliang@scujcc.edu.cn.
Huang H; Postdoctoral Station of Management Science and Engineering, Chengdu University of Technology, Chengdu, 610059, China. chenliang@scujcc.edu.cn.
Tang P; College of Business, Chengdu University of Technology, Chengdu, 610059, China. chenliang@scujcc.edu.cn.
Xie H; College of Business, Chengdu University of Technology, Chengdu, 610059, China.
Wang C; School of Finance and Accounting, Chengdu Jincheng College, Chengdu, 610097, China.

Sci Rep ; 13(1): 4533, 2023 Mar 20.

Article de En | MEDLINE | ID: mdl-36941319

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Sci Rep Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

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