Multi-stage collaborative efficiency measurement of sci-tech finance : network-DEA analysis and spatial impact research
Year of publication: |
2022
|
---|---|
Authors: | Yu, Liying ; Li, Weishu ; Chen, Zixuan ; Shi, Mingkang ; Liu, Hongda |
Published in: |
Economic research. - Abingdon : Routledge, Taylor & Francis Group, ISSN 1331-677X, ZDB-ID 2171828-3. - Vol. 35.2022, 1,1, p. 300-324
|
Subject: | Multi-stage collaborative efficiency | sci-tech finance | influencing factor | network DEA | Data-Envelopment-Analyse | Data envelopment analysis | Technische Effizienz | Technical efficiency | Effizienz | Efficiency | Forschungskooperation | Research collaboration |
-
The similarities in efficiency of universities and universities of applied sciences in Lower Saxony
Stöver, Britta, (2020)
-
Efficiency of European universities : a comparison of peers
Herberholz, Lars, (2021)
-
On the efficiency of Italien universities : a comment
D'Ippoliti, Carlo, (2017)
- More ...
-
Do fund managers time implied tail risk? : evidence from Chinese mutual funds
Ni, Zhongxin, (2021)
-
Performance evaluation of machine learning approaches for credit scoring
Cao, Anqi, (2018)
-
Individual investment adaptations to COVID-19 lockdowns
Huang, Bin, (2024)
- More ...