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Measuring Scientific Productivity in China Using Malmquist Productivity Index Cover

Measuring Scientific Productivity in China Using Malmquist Productivity Index

Journal of Data and Information Science
Volume 4 (2019): Issue 1 (February 2019)
By: Yaoyao Song,  Torben Schubert,  Huihui Liu and  Guoliang Yang  
Open Access
|Feb 2019

Authors

Yaoyao Song

Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China

Torben Schubert

Fraunhofer Institute for Systems and Innovation Research ISI, Karlsruhe, Germany
Center for Innovation, Research and Competence in the Learning Economy (CIRCLE) at Lund University, Lund, Sweden

Huihui Liu

Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China

Guoliang Yang

glyang@casipm.ac.cn

Institutes of Science and Development, Chinese Academy of Sciences, Beijing, China
University of Chinese Academy of Sciences, Beijing, China
DOI: https://doi.org/10.2478/jdis-2019-0003 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 32 - 59
Submitted on: Jun 29, 2018
Accepted on: Dec 4, 2018
Published on: Feb 21, 2019
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Data Envelopment,
Analysis (DEA),
Chinese higher education,
Scientific productivity,
Malmquist Productivity Index (MPI)
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2019 Yaoyao Song, Torben Schubert, Huihui Liu, Guoliang Yang, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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