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Research of higher education input-output efficiency based on principal component analysis

机译:基于主成分分析的高等教育投入产出效率研究

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A mathematical model was built to make analysis on higher education input-output efficiency. The model included eight input indicators and six output indicators of 31 areas in China. The principal component analysis method was used to reduce dimension of input indicators and output indicators. The multidimensional variables were simplified to one input principal component and one output principal component, which then were used to compare and analyze input-output efficiency of 31 areas. As a result, higher input usually leads to higher output but doesn't lead to higher input-output efficiency. Effective operational mechanisms should be set up to ensure the close connection between input and output, and to improve input-output efficiency.
机译:建立了数学模型,对高等教育的投入产出效率进行了分析。该模型包括中国31个地区的8个输入指标和6个输出指标。主成分分析法用于减小输入指标和输出指标的维数。将多维变量简化为一个输入主成分和一个输出主成分,然后将它们用于比较和分析31个区域的输入-输出效率。结果,较高的输入通常会导致较高的输出,但不会导致较高的输入输出效率。应该建立有效的运作机制,以确保输入和输出之间的紧密联系,并提高输入输出效率。

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