Identification of efficiency factors for inspection and quarantine clearance using an improved structural equation model

Abstract

Inspection and quarantine clearance efficiency is critical to port clearance effectiveness. It reflects the inspection and quarantine system's layout rational along with present and potential capacity; it provides a theoretical basis for the analysis of internal economic effectiveness. Research of inspection and quarantine clearance efficiency in Shanghai, China has identified four impact factors and several measurement indicators. A factor conception model has been developed based on the theory of reason and results. The improved structural equation model was proposed to analyze the original data and to test and verify the model rational. Risk management was confirmed as having the greatest impact on efficiency with an effect level of 0.78, followed by the customs environment with an effect level of 0.59. The results offer authorities a quantitative basis and new perspectives on how to improve the efficiency of customs clearance and promote Shanghai's trade facilitation.

Using Fuzzy Logic Algorithms and Growing Hierarchical Self-Organizing Maps to Define Efficient Security Inspection Strategies in a Container Terminal

“…Concho and Ramirez-Marquez [16] developed a holistic evolutionary algorithm for identifying the optimal threshold values for every sensor and the optimal configuration for the inspection strategy. Ma et al [17] employed the maximum likelihood (ML) estimation method to identify the efficiency factors for inspection, which improves the quarantine and clearance processes of the containers in a port. Wang et al [18] developed a stylized queueing model with novel features related to the security checkpoints to analyze policy initiatives.…”