No abstract

When the epidemic comes, in addition to eliminating people’s panic, quickly enacting corresponding laws and implementing corresponding policies, and isolating infected people, providing emergency supplies are of course essential. The purpose of this article is to study the robustness and sustainability of the port logistics system for outbreak emergency supplies from overseas. This paper analyzes the sustainable development capability of the port logistics system for outbreak emergency supplies from overseas and formulates response strategies and robust collaborative optimization methods. The optimized and robust system is obtained through formula derivation and analysis, which realizes the coordinated optimization of emergency logistics infrastructure positioning and emergency rescue vehicle path positioning and minimizes the economic loss caused by the outbreak. Research data show that the shortest path can be planned between each material supply location. The research results show that the proportion of demand fluctuations during the outbreak is 6.5%, the time window needs to be controlled between 0 and 600, and the robustness and sustainability of the port logistics system have saved the time of the entire process by about 45%, greatly optimizing the delivery route and delivery time. The robustness of the logistics system can be widely used in emergency events.

We study the problem of resilient average consensus for multi-agent systems with misbehaving nodes. To protect consensus value from being influenced by misbehaving nodes, we address this problem by detecting misbehaviors, mitigating the corresponding adverse impact and achieving the resilient average consensus. In this paper, general types of misbehaviors are considered, including deception attacks, accidental faults and link failures. We characterize the adverse impact of misbehaving nodes in a distributed manner via two-hop communication information and develop a deterministic detection-compensation-based consensus (D-DCC) algorithm with a decaying fault-tolerant error bound. Considering scenarios where information sets are intermittently available due to link failures, a stochastic extension named stochastic detection-compensation-based consensus (S-DCC) algorithm is proposed. We prove that D-DCC and S-DCC allow nodes to asymptotically achieve resilient average consensus exactly and in expectation, respectively. Then, the Wasserstein distance is introduced to analyze the accuracy of S-DCC. Finally, extensive simulations are conducted to verify the effectiveness of the proposed algorithms.

Purpose The purpose of this paper is to use difference-in-difference method (DID) to study the influences of independent directors’ political connection on firm value. Design/methodology/approach File No. 18 by the Organization Department of the Communist Party of China Central Committee requires that the leading cadres in party and government offices are not allowed to act as independent directors; this restriction applies to retired officials as well. As a result, many listed companies lose the political connections of officers as independent directors. This paper takes it as an exogenous shock to evaluate the influence of the political connection of independent directors on firm value, effectively alleviating the endogeneity problem existing in previous studies. Findings The research finds the following: under the policy of compelled resignation, the loss of political connection of independent directors has a prominent negative impact on firm value; and compared to state-owned enterprises, the firm value of private enterprises receives a greater negative impact. However, the political advantage of state-owned enterprises is not obviously influenced. In the regions with worse external market environments, due to a greater reliance on resources brought about by political connection, the policy has a much greater influence on their listed companies. Research limitations/implications The study faces several limitations, each of which represents a potential research direction. First, our analysis is based on the policy effects on the firm’s current Tobin’s Q and finds a negative effect of losing political connections. However, the long-term effects are still unclear, as some studies find a negative effect of political connections. Second, the paper focuses on one channel in which political connections may affect firm value. Other channels, such as subsidies and loans from state-owned banks, which need more granular data, should be explored in the future. Practical implications The use of DID model can better objectively evaluate the implementation effects of ban policies and alleviate endogenous problems, which is also enlightening for further perfection of the system of independent directors in the A-share market. Social implications It enriches existing researches of the value of independent directors from the perspective of political connection, which is conducive to understanding the influence and channel on the firm value after the loss of political connection and the value of independent directors in the corporate governance in a more comprehensive and accurate manner. Originality/value This paper extends the relevant research on the value of the political connection of independent directors from the perspective of political connection and enlightens the evaluation of the effect of ban policies.

No abstract