Fig 1.
Source: By the authors.
Table 1.
Research contribution and methods used in existing literature.
Table 2.
Information of five agricultural product listed companies from 2015 to 2022.
Table 3.
Posterior parameter level comparison.
Table 4.
Index system for measuring the resilience of agricultural product supply chain.
Table 5.
Level 3 indicator calculation results.
Table 6.
Ranking of level 2 indicator weight.
Table 7.
Evaluation criteria for the resilience of agricultural product supply chain.
Table 8.
2015-2022 supply chain resilience scores for five agricultural product companies.
Fig 2.
Agricultural product supply chain resilience evaluation score.
Table 9.
2016-2022 fitting value of GM (1,1) for supply chain resilience.
Table 10.
2016-2022 fitting residuals of GM (1,1) for supply chain resilience.
Table 11.
2016-2022 agricultural product supply chain resilience Markov sequence fitting state level.
Table 12.
2016–2022 agricultural product supply chain resilience Markov sequence fitting value.
Table 13..
2016–2022 agricultural product supply chain resilience Markov corrected fitting residuals.
Fig 3.
2015-2022 the fitting value and average residual value of supply chain resilience for five agricultural product companies.
Table 14.
Reference level of residual test of improved Markov-modified GM (1,1).
Fig 4.
2016-2022 prediction residuals of two models.
Table 15.
Significant test result of two forecasting models.
Table 16.
2023–2027 forecasted value of agricultural product supply chain resilience.
Fig 5.
2023-2027 trend of supply chain resilience for five agricultural product companies.
Fig 6.
Sensitivity analysis of inventory turnover rate.
Fig 7.
Sensitivity analysis of supply chain operational cost.
Fig 8.
Sensitivity analysis of supplier spatial distance.