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Factors Influencing the Diffusion of the Internet in China: 1997-2001
Unformatted Document Text:  31 Table 4 Rotated Component Matrix a .950 9.271E-02 4.226E-02 .891 .214 .215 .821 .227 .418 .773 -.260 .296 .696 .394 .516 .687 .308 .551 .123 .950 5.941E-02 .137 .927 2.643E-02 -7.684E-02 .870 .451 7.989E-02 .832 .523 .512 .698 -.236 .308 .109 .887 .600 .123 .770 population with junior collegeand above per 10,000 persons % of urban population per capital GDP % of service industry GDP income of rural residents Number of computer per 100people student enrollment in highereducation Number of school GDP 2000’(billion yuan) Service Industry GDP (billion) LITERACY urban households expenditureon communication income of urban residents 1 2 3 Component Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization. Rotation converged in 6 iterations. a.

Authors: Lin, Jia.
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31

Table 4
Rotated Component Matrix
a
.950
9.271E-02
4.226E-02
.891
.214
.215
.821
.227
.418
.773
-.260
.296
.696
.394
.516
.687
.308
.551
.123
.950
5.941E-02
.137
.927
2.643E-02
-7.684E-02
.870
.451
7.989E-02
.832
.523
.512
.698
-.236
.308
.109
.887
.600
.123
.770
population with junior college
and above per 10,000 persons
% of urban population
per capital GDP
% of service industry GDP
income of rural residents
Number of computer per 100
people
student enrollment in higher
education
Number of school
GDP 2000’(billion yuan)
Service Industry GDP (billion)
LITERACY
urban households expenditure
on communication
income of urban residents
1
2
3
Component
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Rotation converged in 6 iterations.
a.


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