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Impact of COVID-19 on agriculture supply chain: potential mitigation and adaptive measures from an Indian perspective

Sneha Kumari et al.

International Journal of Economic Policy and Emerging Economies2025https://doi.org/10.1504/ijepee.2025.146152article
ABDC C
Weight
0.50

What the paper says

Pandemics, like COVID-19, are unprecedented with huge potential for long-term disruptions and exodus in supply chain management activities. This study explores the impact of COVID-19 on the agriculture supply chain and maps potential pandemic mitigation measures for effectively managing the agriculture supply chains. The study uses a systematic content analysis of 127 articles. It examines the coping behaviour of the supply chain segment of agriculture. The study has recommended potential measures to manage agriculture supply chains in a pandemic situation. It captures COVID-19 induced factors and events that have caused a gradual breakdown in the global agriculture supply chain specifically that of India. The impact and the potential short-term and long-term mitigation mechanisms are also summarised. The study has examined different factors causing injury to the agriculture supply chain activities and laid down potential mitigation mechanisms.

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Cite this paper

https://doi.org/https://doi.org/10.1504/ijepee.2025.146152

Or copy a formatted citation

@article{sneha2025,
  title        = {{Impact of COVID-19 on agriculture supply chain: potential mitigation and adaptive measures from an Indian perspective}},
  author       = {Sneha Kumari et al.},
  journal      = {International Journal of Economic Policy and Emerging Economies},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijepee.2025.146152},
}

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Impact of COVID-19 on agriculture supply chain: potential mitigation and adaptive measures from an Indian perspective

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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.