Effects of informal contracts on innovative cooperation among enterprises in industrial clusters: an evolutionary game analysis
type: Item
instance of: scholarly article
title: Effects of informal contracts on innovative cooperation among enterprises in industrial clusters: an evolutionary game analysis
zbMATH Open document ID: 1422.91098
DOI: 10.1155/2018/5267357
author: Ying Han
author: Elena Poh
author: Guo-Hong Chen
published in: Discrete Dynamics in Nature and Society
publication date: 2019-02-20T00:00:00Z
review text: Summary: Industrial cluster theory has important guiding significance for regional industrial development and industrial agglomeration advantages. Cooperation among enterprises is the corner stone of industrial clusters. The purpose of the paper is to explore the effects of cluster informal contracts on cluster enterprises and the behavior of external partners. Based on the dynamic evolutionary game theory, this paper constructs a model, which incorporates several main factors influencing the innovative cooperation among local and external cluster enterprises. By calculating the replicator dynamics equations and analyzing the evolutionary stable strategies, this paper discusses the evolution process of cooperation strategies of enterprises in different situation. Furthermore, by using MATLAB software to simulate the model, this paper verifies the accuracy and reliability of the game model. Results show that, in addition to the formal market contract, effective implementations of cluster informal contracts can reduce opportunistic behavior in innovative cooperation among internal and external enterprises. Meanwhile, we should pay attention to strengthen the external innovative cooperation, increase severity of penalties, enhance the credit network externality, and avoid the relevant risks. The paper enriches our understanding about how informal contracts can help promote and cultivate good cooperative order in innovative cooperation of clusters.
Mathematics Subject Classification ID: 91A22
Mathematics Subject Classification ID: 91A80
zbMATH DE Number: 7026610
describes a project that uses: Matlab
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2018/5267357
OpenAlex ID: W2898234602
cites work: Research on cooperative innovation behavior of industrial cluster based on subject adaptability
cites work: Identifying industrial clusters with a novel big-data methodology: are SIC codes (not) fit for purpose in the internet age?
cites work: A dynamic evolutionary game model of modular production network
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description: scientific article; zbMATH DE number 7026610