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Chinese Journal of Management Science ›› 2026, Vol. 34 ›› Issue (11): 263-275.doi: 10.16381/j.cnki.issn1003-207x.2024.1216

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Research on Government-Enterprise Collaborative Recovery Strategies for Supply Disruptions

Qingchun Meng1,2, Xin Cui1,2, Ziyi Zhu1,2, Yongbin Gao1,2, Xiaole Xue1,2()   

  1. 1.School of Management,Shandong University,Jinan 250100,China
    2.The Digitalized and Intelligent Management and Decision Simulation Laboratory of Colleges and Universities in Shandong Province,Jinan 250100,China
  • Received:2024-07-23 Revised:2025-03-04 Online:2026-11-25 Published:2026-11-10
  • Contact: Xiaole Xue E-mail:xlxue@sdu.edu.cn

Abstract:

The supply disruptions caused by emergent events pose a serious challenge to both enterprises and governments, and the government-enterprise collaborative model has a significant promoting effect on supply recovery. Considering two types of government-enterprise collaborative recovery strategies, namely cost subsidy and price subsidy, and taking into account both economic benefits and social benefits, feasible ways are provided for government-enterprise collaborative supply recovery and the impact of time, consumers’ characteristic parameters, and reference price effects on recovery decisions is analyzed. The results show that the government-enterprise collaboration can not only motivate the enterprise to improve their recovery enthusiasm but also effectively stimulate market vitality. The recovery decisions of the enterprise are time-variantly related to consumers’ characteristic parameters, and it is necessary for enterprises to pay attention to the disturbance of the behavior of consumers after supply disruptions. In comparison to cost subsidy, the profits of the enterprise and the benefits of government are greater when the government adopts price subsidies. Given the same subsidy allocation, neither the price subsidy strategy nor the cost subsidy strategy is always better.

Key words: supply disruption, dynamic recovery, government-enterprise collaborative, reference price effect, optimal control

CLC Number: