Cargando…
China’s Provincial Eco-Efficiency and Its Driving Factors—Based on Network DEA and PLS-SEM Method
This study aims to estimate the eco-efficiencies of China at provincial levels. The eco-efficiencies of production and treatment stages are disentangled by the network data envelopment analysis (DEA) method. The key driving factors are identified by the integrative use of driving force-pressure-stat...
Autores principales: | Li, Zhijun, Wei, Yigang, Li, Yan, Wang, Zhicheng, Zhang, Jinming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7700569/ https://www.ncbi.nlm.nih.gov/pubmed/33238577 http://dx.doi.org/10.3390/ijerph17228702 |
Ejemplares similares
-
Eco-efficiency evaluation of Chinese provincial industrial system: A dynamic hybrid two-stage DEA approach
por: He, Kai, et al.
Publicado: (2022) -
Evolution and Driving Factors of the Spatiotemporal Pattern of Tourism Efficiency at the Provincial Level in China Based on SBM–DEA Model
por: Gao, Junli, et al.
Publicado: (2022) -
Efficiency measurement and spatial spillover effect of provincial health systems in China: Based on the two-stage network DEA model
por: Yang, Yuping, et al.
Publicado: (2022) -
Spatio-temporal pattern evolution of China’s provincial tourism efficiency and development level based on DEA-MI model
por: Liao, Zhenjie, et al.
Publicado: (2023) -
What drives the investment intentions of emerging economy millennials? Examining the effect of financial advertisement with the PLS-SEM
por: Dogra, Pallavi, et al.
Publicado: (2023)