Journal of Data and Information Science (Feb 2019)

Measuring Scientific Productivity in China Using Malmquist Productivity Index

Song Yaoyao,
Schubert Torben,
Liu Huihui,
Yang Guoliang

Affiliations

Song Yaoyao: Institutes of Science and Development, Chinese Academy of Sciences, Beijing100190, China
Schubert Torben: Fraunhofer Institute for Systems and Innovation Research ISI, Karlsruhe, Germany
Liu Huihui: Institutes of Science and Development, Chinese Academy of Sciences, Beijing100190, China
Yang Guoliang: Institutes of Science and Development, Chinese Academy of Sciences, Beijing100190, China

DOI: https://doi.org/10.2478/jdis-2019-0003
Journal volume & issue: Vol. 4, no. 1
pp. 32 – 59

Abstract

This paper aims to investigate the scientific productivity of China’s science system.

Published in Journal of Data and Information Science

ISSN: 2096-157X (Print); 2543-683X (Online)
Publisher: Sciendo
Country of publisher: Poland
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology; Science: Mathematics: Instruments and machines: Electronic computers. Computer science
Website: https://sciendo.com/journal/JDIS

About the journal