Spatio-temporal evolution characteristics of eco-efficiency in the Yellow River Basin of China based on the super-efficient SBM model.

Wang, Chuanhui; Gong, Weifeng; Zhao, Mengzhen; Zhou, Yuanlin; Zhao, Yu

Wang, Chuanhui; Gong, Weifeng; Zhao, Mengzhen; Zhou, Yuanlin; Zhao, Yu.

Afiliación

Wang C; School of Economics, Qufu Normal University, Rizhao, 276826, China.
Gong W; School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211006, China.
Zhao M; School of Economics, Qufu Normal University, Rizhao, 276826, China. gongweifeng@qfnu.edu.cn.
Zhou Y; School of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 211006, China. gongweifeng@qfnu.edu.cn.
Zhao Y; School of Economics, Qufu Normal University, Rizhao, 276826, China.

Environ Sci Pollut Res Int ; 30(28): 72236-72247, 2023 Jun.

Article en En | MEDLINE | ID: mdl-37165272

Asunto(s)

Eficiencia; Ríos; China; Desarrollo Económico

Palabras clave

Eco-efficiency; Super-efficient SBM model; Undesired outputs; Yellow River Basin

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ríos / Eficiencia Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google