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我国区域海洋经济竞争力评价研究
引用本文:俞立平,万崇丹,赵丙奇,燕小青.我国区域海洋经济竞争力评价研究[J].科技与管理,2012,14(3):11-14.
作者姓名:俞立平  万崇丹  赵丙奇  燕小青
作者单位:宁波大学商学院,浙江宁波,315211
基金项目:宁波市人民政府与中国社会科学院战略合作项目现代高端服务业发展研究中心2011年课题
摘    要:随着陆地资源的不断匮乏,海洋经济越来越受到重视。对我国海洋经济的发展现状进行简要分析的基础上,选取若干评价指标,利用TOPSIS法对我国沿海11个省份海洋经济竞争力进行综合评价,并对近年来各地区海洋经济竞争力的演变进行分析,发现山东和江苏是海洋经济竞争力提升最为活跃的地区。然后利用面板数据,将评价值作为因变量,评价指标作为自变量进行回归,得出各指标的模拟权重,并对评价的单调性进行检验。结果表明,海洋第三产业值的权重最大,其次是海洋第一产业值,再次是海洋第二产业值和海洋经济比重,两者权重相当,海洋第三产业比重的权重最小,所有指标对评价值而言都是单调递增的,评价的单调性良好。

关 键 词:海洋经济  竞争力  TOPSIS  面板数据  模拟权重

Evaluation research of regional marine economic competitiveness in China
YU Li-ping,WAN Chong-dan,ZHAO Bing-qi,YAN Xiao-qing.Evaluation research of regional marine economic competitiveness in China[J].Science-Technology and Management,2012,14(3):11-14.
Authors:YU Li-ping  WAN Chong-dan  ZHAO Bing-qi  YAN Xiao-qing
Institution:(Business School,Ningbo University,Ningbo 315211,China)
Abstract:With the land resources are constantly decreasing,more and more people pay attention to the marine economy.On the basis of briefly analysis of China’s marine economical development,The paper selects some evaluation indexes—using TOPSIS method to comprehensively evaluate the marine economical competitiveness of the 11 coastal provinces,and analyzing the evolution of regional marine economic competitiveness in recent years.It is found that the marine economical competitiveness in Shandong and Jiangsu is the most active.Finally,the paper takes the evaluation value as the dependent variable and the index as a variable regression,using a panel data to obtain simulation weight of the index and to inspect the monotonicity of evaluation.The results show that the weight of marine third industry value is the most;the second is the marine first industry value;the third is the marine second industry value and marine economical proportion;the last is the proportion of marine third industry value.The entire index as to the value is monotonous increasing,and the evaluation monotonicity is good.
Keywords:marine economic  economical competitiveness  TOPSIS  panel data  simulation weight
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