Context-dependent Data-Envelopment-Analysis-Based Efficiency Evaluation of Coastal Ports in China Based on Social Network Analysis

An emerging trend in performance evaluation is combining social network analysis methods with data envelopment (DEA) models and using centrality to distinguish DEA results. One study employed an input-oriented variable-returns-to-scale model address referent decision-making units the corresponding lambda values construct a network. This referenced literature improved on use of weight sets We context-dependent delineate multiple effective frontier planes, aggregate reference set relationships each plane relationship matrix, assess influences interaction layers between networks transformed by planes. Finally, our method was evaluate efficiency coastal ports China rank their efficiency. The results indicated that Qingdao Port most efficient, followed Shenzhen Port; this finding verified feasibility rationality method. present contributes considerably theories identifying highly efficient ports.