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Fig 1.

Technical route map.

Source: By the authors.

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Table 1.

Research contribution and methods used in existing literature.

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Table 2.

Information of five agricultural product listed companies from 2015 to 2022.

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Table 3.

Posterior parameter level comparison.

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Table 4.

Index system for measuring the resilience of agricultural product supply chain.

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Table 5.

Level 3 indicator calculation results.

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Table 6.

Ranking of level 2 indicator weight.

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Table 7.

Evaluation criteria for the resilience of agricultural product supply chain.

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Table 8.

2015-2022 supply chain resilience scores for five agricultural product companies.

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Fig 2.

Agricultural product supply chain resilience evaluation score.

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Table 9.

2016-2022 fitting value of GM (1,1) for supply chain resilience.

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Table 10.

2016-2022 fitting residuals of GM (1,1) for supply chain resilience.

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Table 11.

2016-2022 agricultural product supply chain resilience Markov sequence fitting state level.

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Table 12.

2016–2022 agricultural product supply chain resilience Markov sequence fitting value.

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Table 13..

2016–2022 agricultural product supply chain resilience Markov corrected fitting residuals.

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Fig 3.

2015-2022 the fitting value and average residual value of supply chain resilience for five agricultural product companies.

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Table 14.

Reference level of residual test of improved Markov-modified GM (1,1).

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Fig 4.

2016-2022 prediction residuals of two models.

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Table 15.

Significant test result of two forecasting models.

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Table 16.

2023–2027 forecasted value of agricultural product supply chain resilience.

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Fig 5.

2023-2027 trend of supply chain resilience for five agricultural product companies.

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Fig 6.

Sensitivity analysis of inventory turnover rate.

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Fig 7.

Sensitivity analysis of supply chain operational cost.

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Fig 8.

Sensitivity analysis of supplier spatial distance.

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