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Investigation sustainable development of ecological environment and economic technology in the context of supply chain management

Yanlong Zhao & Xuebo Yan

International Journal of Environment and Pollution2026https://doi.org/10.1504/ijep.2026.152508article
ABDC C
Weight
0.50

What the paper says

This study aims to explore the synergistic optimisation effect of green supply chain management on ecological environment and economic sustainable development, and reveal its practical value in reducing resource consumption and environmental pollution.This paper compares the environmental-economic sustainable development under traditional supply chain management models and green supply chain management models.The experimental results show that in the Yangtze River Delta region, the average wastewater discharge of the traditional supply chain management model is 1.745 billion tons, while the average wastewater discharge of the green supply chain management model is 1.42 billion tons; in the Yunnan-Guizhou Plateau region, the average wastewater discharge of the traditional supply chain management model is 1.45 billion tons, while the average wastewater discharge of the green supply chain management model is 965 million tons.Therefore, applying green supply chain management in the sustainable development of environment and economy can effectively reduce wastewater emissions.

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Cite this paper

https://doi.org/https://doi.org/10.1504/ijep.2026.152508

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@article{yanlong2026,
  title        = {{Investigation sustainable development of ecological environment and economic technology in the context of supply chain management}},
  author       = {Yanlong Zhao & Xuebo Yan},
  journal      = {International Journal of Environment and Pollution},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijep.2026.152508},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.