Research on the Technological Innovation Efficiency of China’s Strategic Emerging Industries Based on SBM: NDEA Model and Big Data

Joint Authors

Zhong, Zuchang
Meng, Fanchao
Zhu, Yuanbing
Wang, Gang

Source

Mathematical Problems in Engineering

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-05-15

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Civil Engineering

Abstract EN

Characterized by large scale, variety, fast generation, and extremely high value but low density, big data can be used to mine effective information, provide users with auxiliary decision-making, and realize its own value.

Based on the nonoriented SBM and the network DEA model, this paper systematically and objectively evaluates the technological innovation efficiency of strategic emerging industries in all provinces of China in 2002–2013.

The study found the following.

(1) The overall technological efficiency of China’s strategic emerging industries is low.

The average of comprehensive efficiency is 0.278; of 26 provinces, only 8 are above the average level.

(2) The efficiency in the commercialization stage of scientific and technological achievements of strategic emerging industries in the whole country and most of the provinces is higher than that in the stage of knowledge innovation.

The inefficiency of the knowledge innovation stage restricts the efficiency promotion of China’s strategic emerging industries.

(3) The overall innovation efficiency of strategic emerging industries has been increasing from 2002 to 2013.

In comparison, the growth rate of pure technical efficiency is larger than that of scale efficiency.

(4) The overall efficiency, the efficiency in the knowledge innovation stage, and the efficiency in the commercialization stage of scientific and technological achievements of the eastern region are higher than those of the central and western regions.

American Psychological Association (APA)

Zhong, Zuchang& Meng, Fanchao& Zhu, Yuanbing& Wang, Gang. 2020. Research on the Technological Innovation Efficiency of China’s Strategic Emerging Industries Based on SBM: NDEA Model and Big Data. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197578

Modern Language Association (MLA)

Zhong, Zuchang…[et al.]. Research on the Technological Innovation Efficiency of China’s Strategic Emerging Industries Based on SBM: NDEA Model and Big Data. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1197578

American Medical Association (AMA)

Zhong, Zuchang& Meng, Fanchao& Zhu, Yuanbing& Wang, Gang. Research on the Technological Innovation Efficiency of China’s Strategic Emerging Industries Based on SBM: NDEA Model and Big Data. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1197578

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1197578