摘要:本文是一篇关于AEC竞争力的留学生作业,本文从两个同时进行的国家来源的报告进行数据的分析。最后,比较竞争力的距离的分析结果之间的差异。自始至终,这两种分析框架,本文展示竞争力的影响的距离对于处于等价的竞争力水平的几个不同层次的国家是非常有用的。
ic Community Blueprint, 2008).
This article considers to competitiveness distance which selected three country is represented as Singapore, Thailand, and Vietnam at all members of AEC. Furthermore, all three countries differentiate of “stages of development” base on WEF (WEF, 2011-2012) that the three countries need to develop group members are equal competitiveness.
Thus, the building equal competitiveness is lead to the region which reduces the development gap of the member states as focus on ASEAN member states who have development lags behind the other members. Finally, the member states are able to benefits equally with the economic integration of ASEAN (Plummer and Click, 2005; ASEAN National Secretariat and ASEAN Community Building).
3.1 DATA
This paper determines the development of competitiveness in Singapore, Thailand, and Vietnam that consider competitiveness similarity and dissimilarity with competitiveness indicators based on two sources of information world ranking as WEF on 12 pillars and IMD on 20 factors, which on distance in competitiveness development with competitiveness report in 2012. However, the data suggest a significant improvement in competitiveness by using data from two sources confirm simultaneously that to empirically visualize the competitiveness of the development level of competitive country and differences in the time frame.
Data is reported to global competitiveness because increasingly response to the survey published by “World Economic Forum” and annually collects data about the appearance of important country and economic institutions. Thus, competitiveness global report is benefit to resulting from wider range of scales, within the institutions included surveys and the standard question that facilitates comparison systems (Rao, Pearce, and Xin, 2005; Xu, Pan, and Beamish, 2004; Gaur and Lu, 2007).
3.2 DATA ANALYSIS
This paper determines the development of competitiveness in Singapore, Thailand, and Vietnam that consider competitiveness similarity and dissimilarity by Euclidean distances measurement as equation define: that dij is the distance between countries i and j and (xik-xjk) is score difference of country i and j on competitiveness feature k (Malnight, 2001). Eventually, our measure of competitiveness counties distance therefore takes the form of:
WEF d Singapore, Thailand = [(XS1 – XT1)2 + (XS2 – XT2)2 + …+(XS12 – xT12)2]1/2
WEF d Singapore, Vietnam = [(XS1 – XV1)2 + (XS2 – XV2)2 + …+(XS12 – xV12)2]1/2
WEF d Thailand, Vietnam = [(XT1 – XV1)2 + (XT2 – XV2)2 + …+(XT12 – xV12)2]1/2
IMD d Singapore, Thailand = [(XS1 – XT1)2 + (XS2 – XT2)2 + …+(XS20 – xT20)2]1/2
IMD d Singapore, Vietnam = [(XS1 – XV1)2 + (XS2 – XV2)2 + …+(XS20 – xV20)2]1/2
IMD d Thailand, Vietnam = [(XT1 – XV1)2 + (XT2 – XV2)2 + …+(XT20 – xV20)2]1/2
Multidimensional scaling (MDS; Kruskal & Wish, 1978) is using in the analysis of the WEF 108 matrix distance which 12 pillars, 3 counties, and 3 period (12x3x3), in addition, IMD 180 matrix distance which 20 factors, 3 counties, and 3 period (20x3x3), as a result present in table 1 and table 2.
Finally, comparing is competitiveness distance of WEF and IMD that the results of competitiveness distance to the IMD and WEF have direction concomitant, conflicting
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