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The Application of Principal Components Analysis on Residents’ Living Level Evaluation of Our Country

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Advances in Education and Management (ISAEBD 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 211))

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Abstract

Purpose: to evaluate and arrange the residents’ living level of our country, offer reference for the decision-making of governments at all levels about the people’s livelihood. Procedures: at first, established the evaluation index on residents’ living level in our country, evaluated and arranged the residents’ living level of our country with the method of principal components analysis. Conclusions: this ranking makes every provincial government envisage its own actuality and location, further make the structural and strategic regulation according to the actual situation.

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References

  1. Report on people’s livelihood in Chinese city, http://www.calss.net.cn/n1196/ (August 2, 2010)

  2. 2010 China Statistical Yearbook. Chinese Statistics Press, Beijing (2011)

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  3. Jianyin, L., Renke, Z., Xu, L.: The principal components analysis of factors to influence residents’ income distribution difference. Journal of Hunan University of Arts and Science (Natural Science) (3), 18–20 (2007)

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  4. Wenxiu, H., Yanlin, Y., Jianlin, F.: Study summary on Chinese residents’ income difference. Economy Research Reference 83(1), 13–29 (2003)

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  5. Jiewen, C., Yong, C., Haiming, L.: Problems should be paid attention during applyes the principal components analysis. Statistics and Decision-making (8), 140–141 (2009)

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© 2011 Springer-Verlag Berlin Heidelberg

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Sun, C. (2011). The Application of Principal Components Analysis on Residents’ Living Level Evaluation of Our Country. In: Zhou, M. (eds) Advances in Education and Management. ISAEBD 2011. Communications in Computer and Information Science, vol 211. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23062-2_43

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  • DOI: https://doi.org/10.1007/978-3-642-23062-2_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23061-5

  • Online ISBN: 978-3-642-23062-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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