中国省区市区域竞争力新旧方法比较研究

发布时间：2018-12-14 07:33

【摘要】：本文选取我国31个省、直辖市、自治区和全国的1997年——2011年共15年的GDP数据，应用数据挖掘的分析方法分析我国各个省市区的区域竞争力。首先，，对31个省市区的GDP数据分为3个时间段应用GDP份额法分析区域竞争力的大小，同时把31个省市区按照竞争力的大小降序的分为四类。分析表明：广东省、山东省、江苏省的区域竞争力始终在很强的第一类，浙江省、河南省、河北省、辽宁省始终在区域竞争力中等的第二类，其他三四类省市区类间有些不是特别大的分类变动。其次，从基元法的角度出发，将国家GDP作为基元，对31个省市区的GDP数据的3个时间段应用自创的斜率法分析区域竞争力的大小，同时个根据竞争力从大到小将31个省市区同样也分为四类，结果显示两种方法的省市区分类基本一致。表明我们对区域竞争力的创新解释——拟合斜率具有可行性。然后，对GDP份额法和拟合斜率法的异同点进行了归纳总结：两种方法最大的相同点就是数据相同、研究对象相同、研究结果非常相近；最大的不同点就是斜率法考虑的数据更具有时间全面性、结果反映的更全面。表明斜率法更具有优势一些。最后，对31个省市区的三个时间段的分类变化进行时序的分析，分析各省市区分类发生变化的原因及改进建议，并指出经济转型是我国目前的重中之重。
[Abstract]:In this paper, the GDP data of 31 provinces, municipalities, autonomous regions and the whole country from 1997 to 2011 are selected, and the regional competitiveness of each province is analyzed by using the method of data mining. Firstly, the GDP data of 31 provinces and municipalities are divided into three time periods and the regional competitiveness is analyzed by GDP share method. At the same time, the 31 provinces and municipalities are divided into four categories according to the descending order of competitiveness. The analysis shows that the regional competitiveness of Guangdong Province, Shandong Province and Jiangsu Province has always been in the very strong first category, and that of Zhejiang Province, Henan Province, Hebei Province and Liaoning Province has always been in the second category of regional competitiveness. Some of the other three or four categories of provinces, municipalities and cities are not particularly large in classification. Secondly, from the point of view of the primitive method, the national GDP is taken as the basis, and the self-created slope method is used to analyze the regional competitiveness in the three time periods of the GDP data of 31 provinces and municipalities. At the same time, according to the competitiveness of 31 provinces and municipalities are also divided into four categories, the results show that the two methods are basically the same classification of provinces and municipalities. It shows that our innovative explanation for regional competitiveness-fitting slope is feasible. Then, the similarities and differences between the GDP share method and the fitting slope method are summarized. The biggest similarities between the two methods are the same data, the same research object, and the very similar results; The biggest difference is that the data considered by the slope method are more time-comprehensive and the results are more comprehensive. It shows that the slope method has more advantages. Finally, the paper analyzes the time series of the three time periods of 31 provinces and municipalities, analyzes the reasons for the change of the classification of the provinces and municipalities, and points out that the economic transformation is the most important part of our country at present.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：F127;F224

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