Analysis of the spatial correlation pattern of logistics carbon emission efficiency and its influencing factors: the case of China
Author:
Funder
National Social Science Fund of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11356-023-31753-5.pdf
Reference46 articles.
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2. Chen Y, Wu J (2022) Changes in carbon emission performance of energy-intensive industries in China. Environ Sci Pollut Res 29(29):43913–43927
3. Chen Y, Miao J, Zhu Z (2021) Measuring green total factor productivity of China’s agricultural sector: a three-stage SBM-DEA model with non-point source pollution and CO2 emissions. J Clean Prod 318:128543
4. Deng F, Xu L, Fang Y, Gong Q, Li Z (2020) PCA-DEA-tobit regression assessment with carbon emission constraints of China’s logistics industry. J Clean Prod 271:122548
5. Deveci M, Pamucar D, Gokasar I, Delen D, Wu Q, Simic V (2022) An analytics approach to decision alternative prioritization for zero-emission zone logistics. J Bus Res 146:554–570
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