Journal of Risk Analysis and Crisis Response

Volume 6, Issue 1, April 2016, Pages 15 - 20

Research on the performance evaluation of government venture capital fund based on factor analysis and DEA model

Authors
Hong-Mei Zhang, Ya-Zhong Chen, Zhe Wang
Corresponding Author
Hong-Mei Zhang
Received 8 January 2016, Accepted 27 February 2016, Available Online 1 April 2016.
DOI
https://doi.org/10.2991/jrarc.2016.6.1.3How to use a DOI?
Keywords
Government venture capital fund, performance evaluation index system, factor analysis method, DEA method
Abstract
According to the existing domestic and foreign research results as well as the characteristics of the guide fund, this paper constructs the index system of guide fund performance evaluation, selects the data of the part of the enterprises shared by the government guide venture capital fund and uses the factor analysis method to optimize the evaluation model, then uses empirical analysis based on DEA-BCC model. The result shows that the optimized evaluation model can fully evaluate the performance of the guide fund. At the same time, empirical analysis based on DEA-BCC model shows that the results can objectively reflect the operating conditions of companies accepted investment, which provides the objective reference for government venture capital fund and companies accepted investment.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Journal
Journal of Risk Analysis and Crisis Response
Volume-Issue
6 - 1
Pages
15 - 20
Publication Date
2016/04
ISSN (Online)
2210-8505
ISSN (Print)
2210-8491
DOI
https://doi.org/10.2991/jrarc.2016.6.1.3How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Hong-Mei Zhang
AU  - Ya-Zhong Chen
AU  - Zhe Wang
PY  - 2016
DA  - 2016/04
TI  - Research on the performance evaluation of government venture capital fund based on factor analysis and DEA model
JO  - Journal of Risk Analysis and Crisis Response
SP  - 15
EP  - 20
VL  - 6
IS  - 1
SN  - 2210-8505
UR  - https://doi.org/10.2991/jrarc.2016.6.1.3
DO  - https://doi.org/10.2991/jrarc.2016.6.1.3
ID  - Zhang2016
ER  -