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Measuring scientific productivity in China using malmquist productivity index

Song, Yaoyao; Schubert, Torben LU ; Liu, Huihui and Yang, Guoliang (2019) In Journal of Data and Information Science 4(1). p.32-59
Abstract

This paper aims to investigate the scientific productivity of China's science system. This paper employs the Malmquist productivity index (MPI) based on Data Envelopment Analysis (DEA). 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. As an implication, the indicator selection mechanism, investigation period and the MPI model can be further extended in the future research. The results indicate that Chinese education administrative departments should take actions to guide and promote the... (More)

This paper aims to investigate the scientific productivity of China's science system. This paper employs the Malmquist productivity index (MPI) based on Data Envelopment Analysis (DEA). 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. As an implication, the indicator selection mechanism, investigation period and the MPI model can be further extended in the future research. 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. 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.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Analysis (DEA), Chinese higher education, Data Envelopment, Malmquist Productivity Index (MPI), Scientific productivity
in
Journal of Data and Information Science
volume
4
issue
1
pages
28 pages
external identifiers
  • scopus:85062526021
ISSN
2096-157X
DOI
10.2478/jdis-2019-0003
language
English
LU publication?
yes
id
6be0c12e-0d04-40bb-80e8-b1fb52381be9
date added to LUP
2019-03-18 14:35:00
date last changed
2019-04-10 04:21:18
@article{6be0c12e-0d04-40bb-80e8-b1fb52381be9,
  abstract     = {<p>This paper aims to investigate the scientific productivity of China's science system. This paper employs the Malmquist productivity index (MPI) based on Data Envelopment Analysis (DEA). 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. As an implication, the indicator selection mechanism, investigation period and the MPI model can be further extended in the future research. 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. 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>},
  author       = {Song, Yaoyao and Schubert, Torben and Liu, Huihui and Yang, Guoliang},
  issn         = {2096-157X},
  keyword      = {Analysis (DEA),Chinese higher education,Data Envelopment,Malmquist Productivity Index (MPI),Scientific productivity},
  language     = {eng},
  number       = {1},
  pages        = {32--59},
  series       = {Journal of Data and Information Science},
  title        = {Measuring scientific productivity in China using malmquist productivity index},
  url          = {http://dx.doi.org/10.2478/jdis-2019-0003},
  volume       = {4},
  year         = {2019},
}