| 港口供需匹配指标体系构建研究 |
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| 引用本文： | 赵广田,汪克夷,余方平.港口供需匹配指标体系构建研究[J].科研管理,2015,36(12):92-102. |
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| 作者姓名： | 赵广田 汪克夷 余方平 |
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| 作者单位： | 1. 大连理工大学管理与经济学部, 辽宁大连 116024;
2. 大连海事大学交通运输管理学院, 辽宁大连 116026 |
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| 基金项目： | 国家自然科学基金:低碳港口生成机理及评价模式研究(71273037)。 |
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| 摘 要： | 港口供需匹配及其评价指标体系直接关乎着港口运营效率的高低,是港口管理部门和港口运营部门关注的重要内容。本研究对港口供需匹配指标体系构建进行了研究,主要创新点包括:一是提出了港口供给和需求匹配的影响因素,海选出了港口供给和需求匹配相关指标体系。二是利用相关-主成分分析得到了优化精简港口供需匹配指标体系。在采集上海港2000-2013年年度数据,利用相关分析剔除了相关系数高于0.8的指标,一次优化指标体系中供给和需求指标数量分别仅保留了44%和33.3%;利用主成分分析对初筛的评价指标体系进行二次优化筛选,结果表明优化筛选后的供给和需求指标用25%和24%的评价指标都能够反映90%以上的一次优化指标信息。
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| 关 键 词： | 港口 供需匹配 指标体系 相关分析 主成分分析 |
| 收稿时间： | 2015-02-04 |
A research on construction of the port supply and demand matching index system |
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| Zhao Guangtian,Wang Keyi,Yu Fangping.A research on construction of the port supply and demand matching index system[J].Science Research Management,2015,36(12):92-102. |
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| Authors: | Zhao Guangtian Wang Keyi Yu Fangping |
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| Institution: | 1. Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, Liaoning, China;
2. School of Transportation Management, Dalian Maritime University, Dalian 116026, Liaoning, China |
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| Abstract: | The port supply and demand matching and the evaluation index system is directly related to the efficiency of port operation level, and it is the core problem which draws the attention of the port management and operation departments. This paper studies the construction of port supply and demand matching index system. The key innovations include:firstly, the port supply and demand matching factors is proposed, and the port supply and demand matching index system is selected; secondly, the port supply and demand matching index system has been optimized with the correlation -principal component analysis method. By collecting the annual data of Shanghai port 2000-2013 and using correlation analysis, the index with correlation coefficient greater than 0.8 is removed, and the number of supply index and demand index were retained by 44% and 33.3% respectively in the first optimization. Using the principal component analysis method, a second optimization was made to the first-optimized indices, showing that the supply and demand indices after screening were 25% and 24% respectively, and they were able to reflect more than 90% of the first-optimized index information. |
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| Keywords: | port supply and demand matching index system correlation analysis principal component analysis |
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