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Measuring Scientific Productivity in China Using Malmquist Productivity Index

policies since the end of the Cultural Revolution and the current management patterns in universities. The quantitative assessments on the productivity evolution of a sample of the 58 universities and their three main functions during 2009–2016 are conducted using a Malmquist productivity approach based on Data Envelopment Analysis (DEA). Some policy implications and suggestions for the Chinese education authorities are also put forward based on the results analysis. The rest of the paper is organized as follows. Section 2 summarizes the science policies since the

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