China Educational Resources Analysis Based on GINI Coefficients

Abstract

This article is based on the Gini coefficient to analyze the current educational status in China, and the Gini coefficient is calculated by the educational resources in different provinces. To diversify the sample, the work includes four different educational parameters: number of graduate students, number of institutions of higher learning, and number of high schools and middle schools. Based on the Chinese identity data from 2013 to 2021, this work calculates a line plot of the Gini coefficient, applying the correlation between the Lorentz curve and dynamic conditions. Concerning the different levels of education developments in China, it can draw the following conclusions: the Gini coefficient on the number of postgraduate students and institutions of higher learning is decreasing year by year, and the Gini coefficient on the number of high schools and middle schools appear an opposite trend. Regarding China’s basic national conditions, the research results show that postgraduate and institutions of higher learning education resources are more equal. Still, the trend for middle and high school is on the contrary.