Efficiency of Two-Stage Technological Innovation in High Patent-Intensive Industries That Considers Time Lag: Research Based on the SBM-NDEA Model
Joint Authors
Zou, Junzhong
Chen, Wei
Peng, Nan
Wei, Xuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-12
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Considering time lag and accumulation of inputs and outputs, this paper adopts the superefficiency data envelopment analysis (DEA) model to study the technological innovation efficiency of high patent-intensive industries using panel data from 2007 to 2017.
Given the characteristics and the actual circumstances of the industries, the innovation process is divided into two stages, and an input-output indicator system is established.
The results show that the overall innovation efficiency level of high patent-intensive industries in China is increasing.
However, the R&D achievements in technology are not quickly applied or sufficiently transformed.
American Psychological Association (APA)
Zou, Junzhong& Chen, Wei& Peng, Nan& Wei, Xuan. 2020. Efficiency of Two-Stage Technological Innovation in High Patent-Intensive Industries That Considers Time Lag: Research Based on the SBM-NDEA Model. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1194108
Modern Language Association (MLA)
Zou, Junzhong…[et al.]. Efficiency of Two-Stage Technological Innovation in High Patent-Intensive Industries That Considers Time Lag: Research Based on the SBM-NDEA Model. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1194108
American Medical Association (AMA)
Zou, Junzhong& Chen, Wei& Peng, Nan& Wei, Xuan. Efficiency of Two-Stage Technological Innovation in High Patent-Intensive Industries That Considers Time Lag: Research Based on the SBM-NDEA Model. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1194108
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194108
