ORIGINAL RESEARCH article

Front. Phys.

Sec. Social Physics

Volume 13 - 2025 | doi: 10.3389/fphy.2025.1611590

This article is part of the Research TopicReal-World Applications of Game Theory and Optimization, Volume IIIView all 3 articles

Research on Interaction Mechanism between Cross-regional Operating Enterprises and Local Government: Perspective Based on Evolutionary Game

Provisionally accepted
Jin  ZhaoJin Zhao1SHUQI  LISHUQI LI2,3*Jiaxin  ZhangJiaxin Zhang4Linrong  ZhangLinrong Zhang2
  • 1Commercial Factoring (Shanghai) Co., Yunnan Communications Investment and Construction Group Co.Ltd, Kunming, China
  • 2Jiangsu University, Zhenjiang, China
  • 3School of Accounting, Zhejiang University of Finance and Economics Dongfang College, Hangzhou, China
  • 4Shanghai Lixin University of Accounting and Finance, Shanghai, China

The final, formatted version of the article will be published soon.

Under the background of unified national market, the interaction between cross-regional operating enterprises and local government not only involves factors such as investment scale, policy preferences and industrial collaborate, but also has a profound impact on the innovation activities of enterprises and the improvement of regional innovation ecosystems. This study employs evolutionary game theory to construct a bilateral game model, thereby elucidating the dynamic game-theoretic relationships between cross-regional operating enterprises and cross-entry local governments. It is found that the establishment of interest interaction and government-enterprise gaming mechanisms can effectively promote the two sides from short-term gaming to stable cooperation and reduce strategic uncertainty.The aim is to explore in depth how cross-regiona operation can further promote the improvement of innovation performance and even the highquality development of enterprises through the strategic interaction with the governments of cross-regional places.

Keywords: cross-regional operation, Local Government, evolutionary game theory, Innovation ecosystem, Knowledge spillover Frontiers

Received: 14 Apr 2025; Accepted: 28 Apr 2025.

Copyright: © 2025 Zhao, LI, Zhang and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: SHUQI LI, Jiangsu University, Zhenjiang, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.