Study on risk index system and prevention mechanism under information disclosure in China
Journal of Enterprise Information Management
ISSN: 1741-0398
Article publication date: 17 March 2021
Issue publication date: 8 March 2022
Abstract
Purpose
With the advent of the information age, this paper aims to apply risk analysis theories to study the risk prevention mechanism of information disclosure, thus supporting the green electricity supply.
Design/methodology/approach
This paper conducts a comprehensive evaluation and analysis of the impact of power market transactions, power market operations and effective government supervision, so as to figure out the core risk content of power market information disclosure. Moreover, AHP-entropy method is adopted to weigh different indicators of information disclosure risks for the participants in the electricity market.
Findings
The potential reasons for information disclosure risk in the electricity market include insufficient information disclosure, high cost of obtaining information, inaccurate information disclosure, untimely information disclosure and unfairness of information disclosure.
Originality/value
Some suggestions and implications on risk prevention mechanism of information disclosure in the electricity market are provided, so as to ensure the green electricity supply and promote the electricity market reform in China.
Keywords
Acknowledgements
This work is supported by the project of State Grid Zhejiang Electric Power Co., Ltd. (Research on Information Disclosure and Risk Prevention Mechanism of Zhejiang Electricity Market, Project no. 2019FD02), National Natural Science Foundation of China (Grant no. 72003033), Natural Science Foundation of Fujian Province (Grant no. 2020J05123), Social Science Foundation of Fujian Province (Grant no. FJ2018C040) and the project of Fuzhou University (Grant no. GXRC202005).
Citation
Jin, L., Liu, W., Chen, C., Wang, W. and Long, H. (2022), "Study on risk index system and prevention mechanism under information disclosure in China", Journal of Enterprise Information Management, Vol. 35 No. 2, pp. 358-375. https://doi.org/10.1108/JEIM-05-2020-0191
Publisher
:Emerald Publishing Limited
Copyright © 2021, Emerald Publishing Limited