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Addressing Challenges and Exploring Solutions for Net Zero in Logistics

Anchal Gupta

International Journal of Logistics Economics and Globalisation2025https://doi.org/10.1504/ijleg.2025.10070017article
ABDC C
Weight
0.50

What the paper says

In Paris Agreement, 196 countries have pledged to achieve net-zero goals by 2050. For developing economies, net-zero emissions targets in the logistics sector are crucial but challenging milestones. The present study attempts to identify the barriers to reduce carbon emissions in the logistics sector through a systematic literature review (SLR) and expert opinion. The best-worst method (BWM) prioritised 22 barriers under four categories (Organisational, Operational, technological, and Government-related). Government-related barriers are the most crucial, followed by organisational, operational, and technological barriers. Few real-life case illustrations of Indian logistics companies are discussed to understand their current sustainable initiatives for reaching net-zero targets by 2050. The author has suggested potential solutions to overcome and address the most crucial government and organisational barriers after undergoing existing sustainable practices. This study can help industry practitioners understand the barriers to achieving low carbon economies in their companies and assist in rectifying issues by suggesting possible potential solutions.

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https://doi.org/https://doi.org/10.1504/ijleg.2025.10070017

Or copy a formatted citation

@article{anchal2025,
  title        = {{Addressing Challenges and Exploring Solutions for Net Zero in Logistics}},
  author       = {Anchal Gupta},
  journal      = {International Journal of Logistics Economics and Globalisation},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijleg.2025.10070017},
}

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Addressing Challenges and Exploring Solutions for Net Zero in Logistics

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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.