Shipping companies are key components of the logistics industry, which is extremely significant in enhancing the country's comprehensive national power and promoting global trade development. In the context of the implementation of the new development pattern strategy in China and the impact of the global novel coronavirus (COVID-19), this paper takes 22 Chinese shipping listed companies as the research object and analyses the operational efficiency of them from 2011 to 2020 based on the Super-SBM DEA Model and Window DEA Model. Factors affecting the efficiency are further analyzed with the Tobit model. The research conclude that the operational efficiency of Chinese shipping companies as a whole shows a steady increase from 2011 to 2020. Although most of them are in a relatively effective operation state, fewer are absolutely effective companies. Besides efficiency among companies differs obviously, which indicates the potential of further improvement and promotion. What’s more, factors such as current economic development level, enterprise size, human resources quality and enterprise turnover speed have significant positive correlation to the operation efficiency of Chinese shipping listed companies, which is significant to improve the operation efficiency of Chinese shipping companies.

Abstract
1. Introduction
2. Literature review
    2.1 Data Environment Analysis (DEA)
    2.2 DEA application studies in shipping and port industry
3. Research Methodology
    3.1 DEA method
    3.2 Selection of indicators
4. Efficiency evaluation and analysis of empiricalresults
    4.1 Data description
    4.2 Analysis of efficiency evaluation results
    4.3 Tobit regression results for influencing factors
5. Conclusions and Recommendations
Acknowledgments
References

• Lin-Lin Cui(Researcher, Division of Maritime Transportation, Mokpo National Maritime University,lecturer, lnternational Exchange Center, Hengshui University) Corresponding author
• Jung-Suk Choi(Professor, Division of Maritime Transportation, Mokpo National Maritime University, Mokpo 58628, Korea)