【摘要】：本文選取我國31個(gè)省、直轄市、自治區(qū)和全國的1997年——2011年共15年的GDP數(shù)據(jù)，應(yīng)用數(shù)據(jù)挖掘的分析方法分析我國各個(gè)省市區(qū)的區(qū)域競爭力。 首先，，對(duì)31個(gè)省市區(qū)的GDP數(shù)據(jù)分為3個(gè)時(shí)間段應(yīng)用GDP份額法分析區(qū)域競爭力的大小，同時(shí)把31個(gè)省市區(qū)按照競爭力的大小降序的分為四類。分析表明：廣東省、山東省、江蘇省的區(qū)域競爭力始終在很強(qiáng)的第一類，浙江省、河南省、河北省、遼寧省始終在區(qū)域競爭力中等的第二類，其他三四類省市區(qū)類間有些不是特別大的分類變動(dòng)。 其次，從基元法的角度出發(fā)，將國家GDP作為基元，對(duì)31個(gè)省市區(qū)的GDP數(shù)據(jù)的3個(gè)時(shí)間段應(yīng)用自創(chuàng)的斜率法分析區(qū)域競爭力的大小，同時(shí)個(gè)根據(jù)競爭力從大到小將31個(gè)省市區(qū)同樣也分為四類，結(jié)果顯示兩種方法的省市區(qū)分類基本一致。表明我們對(duì)區(qū)域競爭力的創(chuàng)新解釋——擬合斜率具有可行性。 然后，對(duì)GDP份額法和擬合斜率法的異同點(diǎn)進(jìn)行了歸納總結(jié)：兩種方法最大的相同點(diǎn)就是數(shù)據(jù)相同、研究對(duì)象相同、研究結(jié)果非常相近；最大的不同點(diǎn)就是斜率法考慮的數(shù)據(jù)更具有時(shí)間全面性、結(jié)果反映的更全面。表明斜率法更具有優(yōu)勢(shì)一些。 最后，對(duì)31個(gè)省市區(qū)的三個(gè)時(shí)間段的分類變化進(jìn)行時(shí)序的分析，分析各省市區(qū)分類發(fā)生變化的原因及改進(jìn)建議，并指出經(jīng)濟(jì)轉(zhuǎn)型是我國目前的重中之重。
[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.
【學(xué)位授予單位】：華中科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2013
【分類號(hào)】：F127;F224

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