Regional Education Development Research Based on Robust Principal Component Analysis

Abstract:

Education development is the product of endogenous socio-economic; studying on regional differences of education level plays an important role in social and economic development. This paper constructs regional education development index system based on two aspects of basic educational facilities and educational scale, applies robust principal component analysis method to explore education development level differences of China's 31 provinces, and with the traditional principal component analysis for comparison. Research shows that, results obtained by robust principal component analysis is more in line with China's actual situation; the overall level of education is not high and the difference between regions is large; China's basic education is positively correlated with regional economy, while inversely correlated with regional population.

• Periodical: Advanced Materials Research (Volumes 915-916)
• Pages: 1361-1366
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.915-916.1361
• Online since: April 2014
• Authors: Xian Fen Xie, Bin Hui Wang*
• Keywords: Education Development, Principal Component Analysis (PCA), Robust

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DOI: 10.1080/00401706.1999.10485670