<abstract xmlns="http://www.w3.org/1999/xhtml"><sec id="j_jdis-2019-0003_s_007_w2aab3b7b3b1b6b1aab1c17b1Aa"><h3>Purpose</h3><p>This paper aims to investigate the scientific productivity of China’s science system.</p></sec><sec id="j_jdis-2019-0003_s_008_w2aab3b7b3b1b6b1aab1c17b2Aa"><h3>Design/methodology/approach</h3><p>This paper employs the Malmquist productivity index (MPI) based on Data Envelopment Analysis (DEA).</p></sec><sec id="j_jdis-2019-0003_s_009_w2aab3b7b3b1b6b1aab1c17b3Aa"><h3>Findings</h3><p>The results reveal that the overall efficiency of Chinese universities increased significantly from 2009 to 2016, which is mainly driven by technological progress. From the perspective of the functions of higher education, research and transfer activities perform better than the teaching activities.</p></sec><sec id="j_jdis-2019-0003_s_010_w2aab3b7b3b1b6b1aab1c17b4Aa"><h3>Research limitations</h3><p>As an implication, the indicator selection mechanism, investigation period and the MPI model can be further extended in the future research.</p></sec><sec id="j_jdis-2019-0003_s_011_w2aab3b7b3b1b6b1aab1c17b5Aa"><h3>Practical implications</h3><p>The results indicate that Chinese education administrative departments should take actions to guide and promote the teaching activities and formulate reasonable resource allocation regulations to reach the balanced development in Chinese universities.</p></sec><sec id="j_jdis-2019-0003_s_012_w2aab3b7b3b1b6b1aab1c17b6Aa"><h3>Originality/value</h3><p>This paper selects 58 Chinese universities and conducts a quantified measurement during the period 2009–2016. Three main functional activities of universities (i.e. teaching, researching, and application) are innovatively categorized into different schemes, and we calculate their performance, respectively.</p></sec></abstract>

PurposeThis paper aims to investigate the scientific productivity of China’s science system.Design/methodology/approachThis paper employs the Malmquist productivity index (MPI) based on Data Envelopment Analysis (DEA).FindingsThe results reveal that the overall efficiency of Chinese universities increased significantly from 2009 to 2016, which is mainly driven by technological progress. From the perspective of the functions of higher education, research and transfer activities perform better than the teaching activities.Research limitationsAs an implication, the indicator selection mechanism, investigation period and the MPI model can be further extended in the future research.Practical implicationsThe results indicate that Chinese education administrative departments should take actions to guide and promote the teaching activities and formulate reasonable resource allocation regulations to reach the balanced development in Chinese universities.Originality/valueThis paper selects 58 Chinese universities and conducts a quantified measurement during the period 2009–2016. Three main functional activities of universities (i.e. teaching, researching, and application) are innovatively categorized into different schemes, and we calculate their performance, respectively.

Measuring Scientific Productivity in China Using Malmquist Productivity Index

Journal of Data and Information Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Measuring Scientific Productivity in China Using Malmquist Productivity Index"}

PurposeThis paper aims to investigate the scientific productivity of China’s science system.Design/methodology/approachThis paper employs the Malmquist...

Measuring Scientific Productivity in China Using Malmquist Productivity Index

Article Category: Research Paper

Published Online: Feb 21, 2019

Page range: 32 - 59

Received: Jun 29, 2018

Accepted: Dec 04, 2018

DOI: https://doi.org/10.2478/jdis-2019-0003

Keywords
Data Envelopment, Analysis (DEA), Chinese higher education, Scientific productivity, Malmquist Productivity Index (MPI)

© 2019 Yaoyao Song, Torben Schubert, Huihui Liu, Guoliang Yang, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Measuring Scientific Productivity in China Using Malmquist Productivity Index

Article Category: Research Paper

Published Online: Feb 21, 2019

Page range: 32 - 59

Received: Jun 29, 2018

Accepted: Dec 04, 2018

DOI: https://doi.org/10.2478/jdis-2019-0003

KeywordsData Envelopment, Analysis (DEA), Chinese higher education, Scientific productivity, Malmquist Productivity Index (MPI)

© 2019 Yaoyao Song, Torben Schubert, Huihui Liu, Guoliang Yang, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
Data Envelopment, Analysis (DEA), Chinese higher education, Scientific productivity, Malmquist Productivity Index (MPI)