Kaliszewski Adam, Kozłowski Arkadiusz, Dąbrowski Janusz, Klimek Hanna
Department of Maritime Transport and Seaborne Trade, Faculty of Economics, University of Gdańsk, ul. Armii Krajowej 119/121, 81-824 Sopot, Poland.
Department of Statistics, Faculty of Management, University of Gdańsk, ul. Armii Krajowej 101, 81-824 Sopot, Poland.
Data Brief. 2020 Mar 19;30:105444. doi: 10.1016/j.dib.2020.105444. eCollection 2020 Jun.
Competitiveness of seaports is a matter of interest not only to the economists, but also businesses, governments and international organizations. This data article provides quantitative data from the survey research on factors of competitiveness of container ports as perceived by shipping lines. The data was collected from around the world using an online questionnaire distributed through LinkedIn. The spatial dispersion of respondents corresponds approximately to the structure of global maritime container trade. The data provides full responses from 120 respondents. Each respondent assessed the importance of 20 predefined competitiveness factors on a scale of 1 (least important) to 10 (most important). For each respondent two additional characteristics are known, the location (continent) and the size of the company for which he/she works, measured by the number of employees. The data were used for a research article to determine the ranking of competitiveness factors for container ports entitled "Key factors of container port competitiveness: A global shipping lines perspective" [1]. The data can be used for another research to uncover relationships between factors of competitiveness (through e.g. factor analysis, cluster analysis), both for the whole world and for groups by continents or the size of the company.
海港的竞争力不仅是经济学家关注的问题，企业、政府和国际组织也同样感兴趣。本文提供了来自一项调查研究的定量数据，该研究涉及航运公司对集装箱港口竞争力因素的看法。数据通过领英分发的在线问卷从世界各地收集而来。受访者的空间分布大致与全球海运集装箱贸易的结构相对应。数据包含120名受访者的完整回复。每位受访者根据1（最不重要）到10（最重要）的量表对20个预先定义的竞争力因素的重要性进行评估。对于每位受访者，还知道另外两个特征，即其所在位置（大洲）以及他/她所工作公司的规模（以员工数量衡量）。这些数据被用于一篇研究论文，以确定题为《集装箱港口竞争力的关键因素：全球航运公司视角》[1]的集装箱港口竞争力因素排名。这些数据可用于另一项研究，以揭示竞争力因素之间的关系（例如通过因子分析、聚类分析），无论是针对全球，还是按大洲或公司规模分组进行研究。
