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Research on the Problems and Countermeasures of Government-Enterprise Interaction Based on the Background of Informationization Era
- Source :
- Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
- Publication Year :
- 2024
- Publisher :
- Sciendo, 2024.
-
Abstract
- Government-enterprise interaction is related to the synergistic development of the government and enterprises, and it is also the wind vane of regional economic development. This paper starts with the problems of the government-enterprise interaction mechanism, analyzes the causes of these problems, and constructs a model for government-enterprise interaction based on them. In order to verify the effectiveness of the government-enterprise interaction model, an evaluation index system is constructed to evaluate it, and the entropy weight method and TOPSIS method are utilized to calculate the weights and rank the comprehensive score. Based on the constructed government-enterprise interaction model, this paper utilizes examples to conduct government-enterprise interaction correlation analysis. The results show that the highest mean value of the first-level index in 2010-2020 after solving by entropy weighting method is 0.2829, and the weight of the government purchasing service in 2017-2020 is 0.2059. Among the 10 sample enterprises, the relative posting progress is the highest at 0.5662, and the highest composite score for the level of government-enterprise interaction is 0.52171 points. Under the background of informationization, it is necessary to further strengthen the government’s “delegating-regulation-service” reform, fully do a good job of macro-control in order to guide enterprises to better carry out government-enterprise interaction, innovate the mode of government-enterprise interaction, and fundamentally improve the interactive behavior of the government and enterprises.
Details
- Language :
- English
- ISSN :
- 24448656
- Volume :
- 9
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Applied Mathematics and Nonlinear Sciences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.37a73bd2340bf8a05540e9e75ed5d
- Document Type :
- article
- Full Text :
- https://doi.org/10.2478/amns.2023.2.01351