Carbon emission efficiency of 284 cities in China based on machine learning approach : driving factors and regional heterogeneity
Peixue Xing, Yanan Wang, Tao Ye, Ying Sun, Qiao Li, Xiaoyan Li, Meng Li, Wei Chen
| Year of publication: |
2024
|
|---|---|
| Authors: | Xing, Peixue ; Wang, Yanan ; Ye, Tao ; Sun, Ying ; Li, Qiao ; Li, Xiaoyan ; Li, Meng ; Chen, Wei |
| Published in: |
Energy economics. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-6181, ZDB-ID 2000893-4. - Vol. 129.2024, Art.-No. 107222, p. 1-14
|
| Subject: | Machine learning | Heterogeneity | Carbon emission efficiency | Driving factor | Slacks-based measure directional distance function (SBM-DDF) | Treibhausgas-Emissionen | Greenhouse gas emissions | China | Künstliche Intelligenz | Artificial intelligence | Luftverschmutzung | Air pollution | Data-Envelopment-Analyse | Data envelopment analysis | Technische Effizienz | Technical efficiency | Effizienz | Efficiency |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.eneco.2023.107222 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014559021