Evolutionary Game Research of Intelligent Transformation of Water Conservancy Enterprises in the Digital Background

DOI

10.2991/978-94-6463-516-4_26How to use a DOI?

Keywords

Digitization; water conservancy enterprises; intelligent transformation; platform empowerment; evolutionary game

Abstract

In the context of digitalization, to promote the intelligent transformation of water conservancy enterprises and ensure their high-quality development. Given that evolutionary game theory combines game theory and dynamic evolutionary process analysis, it does not require complete rationality or information from participants, but rather emphasizes a dynamic equilibrium or evolutionary stability strategy, which can be well applied to decision-making research among multiple agents. Therefore, this article applies evolutionary game theory to construct a game model between water conservancy enterprises, governments, and third-party platforms, and uses Matlab software for numerical simulation analysis to explore the most suitable evolutionary path for the transformation and upgrading of water conservancy enterprises. The results indicate that under certain conditions, the game system will evolve and stabilize in a more ideal equilibrium state (1,0,1); The changes in the initial intentions of the three parties in the game have a significant impact on the convergence speed of the evolution of the subject’s behavioral strategies; The cost-effectiveness of transformation and the fee coefficient of the plan have reduced the willingness of water conservancy enterprises to transform and the enthusiasm of third-party platform support; The government should establish a reasonable reward and punishment mechanism and provide appropriate policies such as interest rate subsidies and risk compensation for water conservancy enterprises.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Xin Jiang
AU  - Fengbiao Li
AU  - Guokun Qiu
AU  - Jiayu Peng
AU  - Li Jian
PY  - 2024
DA  - 2024/09/17
TI  - Evolutionary Game Research of Intelligent Transformation of Water Conservancy Enterprises in the Digital Background
BT  - Proceedings of the 2024 5th International Conference on Urban Construction and Management Engineering (ICUCME 2024)
PB  - Atlantis Press
SP  - 225
EP  - 242
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-516-4_26
DO  - 10.2991/978-94-6463-516-4_26
ID  - Jiang2024
ER  -