Data-driven evaluation and optimization of the sustainable development of the logistics industry: case study of the Yangtze River Delta in China.

Ding, Heping; Liu, Yujia; Zhang, Yingyan; Wang, Shuxia; Guo, Yuxia; Zhou, Shuling; Liu, Conghu

Ding, Heping; Liu, Yujia; Zhang, Yingyan; Wang, Shuxia; Guo, Yuxia; Zhou, Shuling; Liu, Conghu.

Afiliación

Ding H; Business School, Suzhou University, Suzhou, 234000, China.
Liu Y; Center for International Education, Philippine Christian University, 1004, Manila, Philippines.
Zhang Y; Business School, Suzhou University, Suzhou, 234000, China. 1540619940@qq.com.
Wang S; Business School, Suzhou University, Suzhou, 234000, China.
Guo Y; Business School, Suzhou University, Suzhou, 234000, China.
Zhou S; Business School, Suzhou University, Suzhou, 234000, China.
Liu C; Business School, Suzhou University, Suzhou, 234000, China.

Environ Sci Pollut Res Int ; 29(45): 68815-68829, 2022 Sep.

Article en En | MEDLINE | ID: mdl-35554806

Asunto(s)

Ríos; Desarrollo Sostenible; China; Ciudades; Desarrollo Económico; Industrias

Palabras clave

Coupling harmonization degree model; Data-driven; Logistics industry; Obstacle factor; Sustainable development; Yangtze River Delta

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 2_ODS3 Problema de salud: 1_financiamento_saude / 2_cobertura_universal Asunto principal: Ríos / Desarrollo Sostenible Tipo de estudio: Prognostic_studies Aspecto: Determinantes_sociais_saude País/Región como asunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2022 Tipo del documento: Article País de afiliación: China

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