Demographic efficiency drivers in the Chinese energy production chain : a hybrid neural multi-activity network data envelopment analysis
Year of publication: |
2024
|
---|---|
Authors: | Zhao, Yue ; Antunes, Jorge Junio Moreira ; Tan, Yong ; Wanke, Peter |
Published in: |
International journal of finance & economics : IJFE. - Chichester [u.a.] : Wiley, ISSN 1099-1158, ZDB-ID 1493204-0. - Vol. 29.2024, 2, p. 1762-1780
|
Subject: | China | energy efficiency | data envelopment analysis | artificial neural networks | demographic efficiency drivers | Data-Envelopment-Analyse | Data envelopment analysis | Neuronale Netze | Neural networks | Energieeinsparung | Energy conservation | Effizienz | Efficiency | Technische Effizienz | Technical efficiency |
-
Homogeneity and best practice analyses in hospital performance management : an analytical framework
Zarrin, Mansour, (2022)
-
Energy efficiency and production technology heterogeneity in China : a meta-frontier DEA approach
Wang, Qunwei, (2013)
-
Zha, Yong, (2016)
- More ...
-
Social welfare and bank performance : evidence from a stochastic neural hybrid MCDM approach
Maredza, Andrew, (2021)
-
Customer satisfaction and airport efficiency in Brazil : a hybrid NDEA-AHP approach
Teixeira, Rafael, (2024)
-
Efficiency analysis of the OECD countries' long-term productivity using DEA and TOPSIS approaches
Wanke, Peter, (2024)
- More ...