Abstract
Abstract
Due to external regulations and limited resources, micro and small enterprises’ (MSEs) work safety behavior in China’s high-risk industries is passive behavior under constraints. Based on stakeholder theory, this paper describes the attributes and behavior rules of MSEs, the government safety supervision department and work safety service agencies using the agent-based simulation methods. We construct an evolution model to study this behavior. The software platform Netlogo is used for simulation exercises. Under the four factors of enterprise work safety resource strength, government supervision, government subsidies, and organization service level, the evolution of MSEs’ work safety behavior in high-risk industries is simulated and the results are discussed. It further reveals internal and external drivers of work safety of MSEs in high-risk industries, strengthens the scientific supervision and effective support of government safety supervision departments, and improves work safety service quality of service agencies multi-dimensionally.
Funder
National Natural Science Foundation of China
Innovative Research Group Project of the National Natural Science Foundation of China
Graduate Research and Innovation Projects of Jiangsu Province
Publisher
Springer Science and Business Media LLC
Subject
Economics and Econometrics,General Business, Management and Accounting
Reference61 articles.
1. American National Standards Institute (2012). American National Standard for Occupational Health and Safety Management Systems. Washington, DC: American National Standard Institute
2. Aven, T., & Hiriart, Y. (2013). Robust optimization in relation to a basic safety investment mode with imprecise probabilities. Safety Science, 55(2), 188–194. https://doi.org/10.1016/j.ssci.2013.01.011
3. Awwad, R., Shdid, C. A., & Tayeh, R. (2016). Agent-based model for simulating construction safety climate in a market environment. Journal of Computing in Civil Engineering, 31(1), 1–12. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000612
4. Bankes, S. (2009). Models as lab equipment: Science from computational experiments. Computational and Mathematical Organization Theory, 15(1), 8–10. https://doi.org/10.1007/s10588-008-9046-y
5. Bhawe, N., Zahra, S. A., Chao, C., & Bruton, G. D. (2021). Protectionist policies and diversity of entrepreneurial types. Small Business Economics, 56, 789–807. https://doi.org/10.1007/s11187-019-00269-z
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献