| 主成分分析法在我国海洋资源承载力变化趋势研究中的应用 |
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| 引用本文： | 任光超,杨德利,管红波.主成分分析法在我国海洋资源承载力变化趋势研究中的应用[J].海洋通报,2012,31(1):21-25. |
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| 作者姓名： | 任光超 杨德利 管红波 |
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| 作者单位： | 上海海洋大学经济管理学院,上海,201306 |
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| 摘 要： | 如何更加合理有效地评价我国海洋资源承载力是我国海洋经济发展和海域经济发展的重要问题。基于主成分分析法的海洋资源承载力研究方法克服了专家打分法的缺陷,它以实际数据为支撑,更为客观的评价出了我国海洋资源承载力近年来的变化趋势,为我国海洋资源承载力的可持续发展提供理论支持。
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| 关 键 词： | 主成分分析 海洋资源 承载力 趋势 |
| 收稿时间： | 2011/4/12 0:00:00 |
| 修稿时间： | 9/5/2011 12:00:00 AM |
Application of PCA in the variation tendency research of marine resource carrying capacity in China |
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| REN Guang-chao,YANG De-li and GUAN Hong-bo.Application of PCA in the variation tendency research of marine resource carrying capacity in China[J].Marine Science Bulletin,2012,31(1):21-25. |
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| Authors: | REN Guang-chao YANG De-li and GUAN Hong-bo |
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| Institution: | College of Economics and Management, Shanghai Ocean University, Shanghai 201306, China;College of Economics and Management, Shanghai Ocean University, Shanghai 201307, China;College of Economics and Management, Shanghai Ocean University, Shanghai 201308, China |
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| Abstract: | How to evaluate marine resource carrying capacity more reasonably and effectively is a key issue to the marine economic development in China. Based on principal component analysis (PCA), this research method overcomes the defects of expert scoring method. Supported by factual data, it shows more objectively the variation tendency of marine resource carrying capacity in recent years in China, and provides theoretical support to the sustainable development of marine resource carrying capacity in China. |
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| Keywords: | principal component analysis (PCA) marine resources carrying capacity tendency |
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