Measuring the Efficiency of China's Regional Innovation Systems: Application of Network Data Envelopment Analysis (DEA)

2012 ◽  
Vol 46 (3) ◽  
pp. 355-377 ◽  
Author(s):  
Kaihua Chen ◽  
Jiancheng Guan
Keyword(s):  
Data Envelopment Analysis ◽  
Innovation Systems ◽  
Network Data ◽  
Data Envelopment ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Network Data Envelopment Analysis

scholarly journals Evaluation of regional innovation systems performance using Data Envelopment Analysis (DEA)

2019 ◽  
Vol 7 (1) ◽  
pp. 498-509 ◽  
Author(s):  
Yelena Vechkinzova ◽  
Yelena Petrenko ◽  
Stanislav Benčič ◽  
Dmitriy Ulybyshev ◽  
Yerlan Zhailauov
Keyword(s):  
Data Envelopment Analysis ◽  
Innovation Systems ◽  
Data Envelopment ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
Using Data

scholarly journals Efficiency evaluation of BRICS’s national innovation systems based on bias-corrected network data envelopment analysis

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Ibrahim Alnafrah
Keyword(s):  
Data Envelopment Analysis ◽  
National Level ◽  
Innovation Systems ◽  
The Other ◽  
Weak Links ◽  
Network Data ◽  
Data Envelopment ◽  
System Failure ◽  
National Innovation Systems ◽  
Network Data Envelopment Analysis

AbstractThe very limited studies that tried to measure the efficiency of national innovation systems (NISs) in BRICS economies were limited to the assumption that the innovation process at national level consists of one stage only and got different and conflicting results. Therefore, this study endeavours to measure the efficiency of sub-processes within the BRICS’s NISs and identify where the system failure lies in each NIS. Bias-corrected network data envelopment analysis (DEA) is used to measure the efficiency of total NIS and the efficiency of the other sub-processes within the system: (1) knowledge production process (KPP), and (2) knowledge commercialization process (KCP). The results showed that NISs in BRICS economies suffer from low performance in commercializing their outputs of universities and research organizations. While, on the other hand, their performance in creating scientific and technical knowledge is good in comparison to other studied countries. We suggest that the reason behind this imbalance is the network system failure associated with weak institutions and high uncertainty in the economy. In this study, we argue that the problem in BRICS NISs is not a problem of resources, but it is a problem of system management and institutions. Some bridging policies are suggested to be adopted by BRICS economies to improve their innovation performance and overcome the system failure of weak links between universities and industry.

Efficiency Evaluation of China's Regional Innovation Process Based on a Network Data Envelopment Analysis Model with a Mixed Structure: Enlightenment from the Regional Tobacco Industry

2021 ◽  
Vol 7 (6) ◽  
pp. 5184-5196
Author(s):  
Zhu Yu ◽  
Yang Feng ◽  
Wang Dawei
Keyword(s):  
Data Envelopment Analysis ◽  
Tobacco Industry ◽  
Innovation Process ◽  
Data Envelopment Analysis Model ◽  
Network Data ◽  
Data Envelopment ◽  
Mixed Structure ◽  
Regional Innovation ◽  
Network Data Envelopment Analysis ◽  
Two Stages

Accurate measurement of regional efficiency is a prerequisite for effective management. Prior studies have expanded on the overall "black box" evaluation with two stages of research and development (R&D) and commercialization, opening up the internal structure of the regional innovation process, but ignoring the independent innovation activities of universities, research institutes, and firms in the R&D stage. We construct a mixed structure with two stages, three actors, and four subsystems, and conduct an empirical analysis of China's provincial samples from 2017 to 2019 by using the network data envelopment analysis (DEA) model. Results show that the efficiency of the R&D stage at the provincial level is generally higher than that of the commercialization stage. However, the three subsystems of the R&D stage perform poorly. Spearman’s rank correlation coefficient suggests that there is a significantly positive correlation between total regional efficiency and commercialization. In addition, we use the k-means method to divide 27 provinces into three clusters, setting a more appropriate improvement benchmark for inefficient provinces. Based on enlightenment of regional tobacco industry, we put forward some proposals for specific stage and specific subsystem.

scholarly journals Efficiency Evaluation of BRICS’s National Innovation Systems based on Bias-corrected Network Data Envelopment Analysis

2020 ◽  
Author(s):  
Ibrahim Alnafrah
Keyword(s):  
Data Envelopment Analysis ◽  
National Level ◽  
Innovation Systems ◽  
The Other ◽  
Weak Links ◽  
Network Data ◽  
Data Envelopment ◽  
System Failure ◽  
National Innovation Systems ◽  
Network Data Envelopment Analysis

Abstract The very limited studies that tried to measure the efficiency of national innovation systems (NISs) in BRICS economies were limited to the assumption that the innovation process at national level consists of one stage only and got different and conflicting results. Therefore, this study endeavours to measure the efficiency of sub-processes within the BRICS’s NISs and identify where the system failure lies in each NIS.Bias-corrected network data envelopment analysis (DEA) is used to measure the efficiency of total NIS and the efficiency of the other sub-processes within the system: (1) Knowledge Production Process (KPP), and (2) Knowledge Commercialization Process (KCP).The results showed that NISs in BRICS economies suffer from low performance in commercializing their outputs of universities and research organizations. While, on the other hand, their performance in creating scientific and technical knowledge is good in comparison to other studied countries. We suggest that the reason behind this imbalance is the network system failure associated with weak institutions and high uncertainty in the economy.In this study, we argue that the problem in BRICS NISs is not a problem of resources, but it is a problem of system management and institutions.Some bridging policies are suggested to be adopted by BRICS economies to improve their innovation performance and overcome the system failure of weak links between universities and industry.

scholarly journals The Efficiency of Regional Innovation Systems in New Member States of the European Union: A Nonparametric DEA Approach

2016 ◽  
Vol 28 (1) ◽  
pp. 83-89 ◽  
Author(s):  
Giedrė Dzemydaitė ◽  
Ignas Dzemyda ◽  
Birutė Galinienė
Keyword(s):  
European Union ◽  
Data Envelopment Analysis ◽  
Innovation Systems ◽  
Data Envelopment ◽  
The European Union ◽  
Regional Innovation Systems ◽  
Regional Innovation ◽  
New Member States ◽  
Eu Regions ◽  
Governmental Institutions

Abstract This paper evaluates the Eastern and Central EU regions according to the efficiency level of innovation systems by application of nonparametric data envelopment analysis (DEA). The most technologically inefficient NUTS2 regions of Central and Eastern EU are identified. The governmental institutions in these regions should enforce a higher level of regional innovative activity, as regional potential to create a higher value to the economy with current resources has not been reached yet.

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