基于OWA＿TOPSIS模型的福建省外贸经济贡献率聚类分析
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摘要
以2009—2016年福建省9个地市外贸经济贡献率数据为依据,运用OWA算子赋权法对不同年份进行权重分配,结合TOPSIS模型,系统评价各地市贸易经济效益,并进行空间聚类分析。得出结论:泉州、漳州、福州和厦门的外贸经济贡献率均低于南平市、三明市和龙岩市,宁德市和莆田市的外贸经济贡献率处于中等水平,权重修正后的结论与传统TOPSIS评价结果一致,另外福建省各地市外贸经济贡献率呈现较大的空间差异。最后提出政策建议。
On the basis of the data of the contribution rate of foreign trade to economy in nine cities of Fujian Province from 2009 to 2016,the OWA operator weights method was proposed to allocate the weights of different years,which was combined with the TOPSIS model to make a systematic assessment of trade and economic benefits of the city. The spatial cluster analysis of the foreign trade of Fujian province economy contribution rate was also conducted. The conclusions are: the foreign trade and economic contribution rate of Quanzhou,Zhangzhou Fuzhou and Xiamen is lower than the city of Nanping,Sanming and Longyan. The city foreign trade economic contribution rate of Ningde and Putian is in the middle level. The conclusion after weight correction is consistent with the traditional TOPSIS evaluation. In addition,the contribution rate of the foreign trade to economy in various cities in Fujian shows a large spatial difference,to which the countermeasures are also put forward.
On the basis of the data of the contribution rate of foreign trade to economy in nine cities of Fujian Province from 2009 to 2016,the OWA operator weights method was proposed to allocate the weights of different years,which was combined with the TOPSIS model to make a systematic assessment of trade and economic benefits of the city. The spatial cluster analysis of the foreign trade of Fujian province economy contribution rate was also conducted. The conclusions are: the foreign trade and economic contribution rate of Quanzhou,Zhangzhou Fuzhou and Xiamen is lower than the city of Nanping,Sanming and Longyan. The city foreign trade economic contribution rate of Ningde and Putian is in the middle level. The conclusion after weight correction is consistent with the traditional TOPSIS evaluation. In addition,the contribution rate of the foreign trade to economy in various cities in Fujian shows a large spatial difference,to which the countermeasures are also put forward.
引文
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[2]孙梦黎,贾文娟.贸易便利化视角下重庆口岸通关模式[J].重庆交通大学学报(社会科学版),2017(6):30-34.
[3]GHARTEY E E.Casual relationship between exports and economic growth:some empirical evidence in Taiwan,Japan and the US[J].Applied-economics,1993(25):18-31.
[4]陈家勤.适度增加进口的几点思考[J].国家贸易问题,1999(7):11-15.
[5]朱春兰.我国进口贸易对经济增长贡献率的实证研究:1952-2004年[J].技术经济与管理研究,2006(4):45-46.
[6]刘震.中日贸易对中国经济增长的贡献率:基于贸易结构视角的分析[D].济南:山东大学,2013.
[7]范柏乃,毛晓苔,王双.中国出口贸易对经济增长贡献率的实证研究:1952-2003年[J].国际贸易问题,2005(8):5-9.
[8]XU Z S.An overview of methods for determining OWA weights[J].International journal of intelligent systems,2005,20(8):843-865.
[9]周健.省际碳排放经济效率的TOPSIS评价分析[J].统计与决策,2011(21):81-84.