Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management

General Evaluation of Economic Development Level Based on Principal Component Analysis

Authors
Hongmin Zhang
Corresponding Author
Hongmin Zhang
Available Online December 2013.
DOI
https://doi.org/10.2991/asshm-13.2013.187How to use a DOI?
Keywords
Principal Components Analysis, Economic development, Comprehensive Evaluation
Abstract

In assessing a country's degree of economic development,the various aspects of social production should be taken into account, and we look at the combined effect of productivity at last. In order to an objective and scientific analysis of China's economic development, this paper applies principal component analysis on China's 31 provinces, municipalities and autonomous regions (not including Hong Kong, Macao and Taiwan) to analysis the economic development level and work out a comprehensive analysis and evaluation by using the SPSS software to make computer computation. Accordingly, the results highlighted the characteristics and advantages of major provinces in the economic development process, and provide a theoretical basis to balanced development of China.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management
Series
Advances in Intelligent Systems Research
Publication Date
December 2013
ISBN
978-90-78677-93-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/asshm-13.2013.187How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Hongmin Zhang
PY  - 2013/12
DA  - 2013/12
TI  - General Evaluation of Economic Development Level Based on Principal Component Analysis
BT  - Proceedings of the 2013 International Conference on Advances in Social Science, Humanities, and Management
PB  - Atlantis Press
SP  - 1012
EP  - 1015
SN  - 1951-6851
UR  - https://doi.org/10.2991/asshm-13.2013.187
DO  - https://doi.org/10.2991/asshm-13.2013.187
ID  - Zhang2013/12
ER  -