Spatial analysis of logistics ecological efficiency and its influencing factors in China: based on super-SBM-undesirable and spatial Dubin models-Reference-Cited by-同舟云学术

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Spatial analysis of logistics ecological efficiency and its influencing factors in China: based on super-SBM-undesirable and spatial Dubin models

Published:2021-09-12 Issue:7 Volume:29 Page:10138-10156
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Bai Dongling,Dong Qianli,Khan Syed Abdul Rehman,Chen Yan,Wang Dongfang,Yang Lei

Funder

Fundamental Research Funds for the Central Universities

Key Project of the National Social Science Foundation of China

Soft Science Research Plan of Zhengzhou city

National Social Science Fund of China

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s11356-021-16323-x.pdf

Reference51 articles.

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2. Bai G, Yang T, Zhang X, Xun H (2018) Spatial econometric analysis on determinants of development differences between provincial logistics industry. J Beijing Jiaotong Univ (Soc Sci) 17:93–100. https://doi.org/10.16797/j.cnki.11-5224/c.2018.0003

3. Caiado RGG, De Freitas DR, Mattos LV, Quelhas OLG, Leal Filho W (2017) Towards sustainable development through the perspective of eco-efficiency - a systematic literature review. J Clean Prod 165:890–904. https://doi.org/10.1016/j.jclepro.2017.07.166

4. Chen WY, Hu FZY, Li X, Hua J (2017) Strategic interaction in municipal governments’ provision of public green spaces: a dynamic spatial panel data analysis in transitional China. Cities 71:1–10. https://doi.org/10.1016/j.cities.2017.07.003

5. Chen C, Sun Y, Lan Q, Jiang F (2020) Impacts of industrial agglomeration on pollution and ecological efficiency-a spatial econometric analysis based on a big panel dataset of China’s 259 cities. J Clean Prod 258:120721. https://doi.org/10.1016/j.jclepro.2020.120721

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