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     Advance Journal of Food Science and Technology


Research on the System Dynamics-based Tripartite Evolution Game Models for Environmental Regulation in Food Producing Enterprise

1Duan Wei, 2Li Changqing, 1Zhang Pei and 2Chang Qing
1Chemical Engineering College
2Management College, Inner Mongolia University of Technology, Hohhot 010051, China
Advance Journal of Food Science and Technology   2016  5:378-383
http://dx.doi.org/10.19026/ajfst.10.2087  |  © The Author(s) 2016
Received: May ‎16, ‎2015  |  Accepted: July ‎2, ‎2015  |  Published: February 15, 2016

Abstract

This study, based on the relationships and the evolutionary game theories among Food processing Enterprise, enterprises and the integrated social benefit, builds two system dynamics-based tripartite evolutionary game models for Food processing enterprise environmental regulation-static punishment model and dynamic punishment model. By imposing varied policy strategies on the two models, including adjusting "Budget of pollution inspection", adjusting “Reward for no pollution discharge”, adjusting “Enterprise production gain”, adjusting “Punishment coefficient” and combine the adjustment schemes, this study observes the changes in the action and the value in the two models. Finally, the author compares and analyzes the operation of the two models under the same policy strategy. The result shows that the loss of the integrated social benefit and the type of punishment mechanism will have a significant impact on the selection of the environmental regulation strategies. However, compared with the single strategy, the combination of policy strategies can make greater efforts in promoting the environmental regulatory model to achieve the "ideal state".

Keywords:

Environmental regulation, evolutionary game, food processing enterprise, policy strategy, system dynamics,


References

  1. Chen, M.C. and K.W. Chang, 2014. Reasoning the causality of city sprawl, traffic congestion, and green land disappearance in Taiwan using the CLD model. Int. J. Environ. Res. Public Health, 11: 11464-11480.
    CrossRef    PMid:25383609 PMCid:PMC4245624    
  2. Dutta, A., H. Lee and M. Yasai-Ardekani, 2014. Digital systems and competitive responsiveness: The dynamics of IT business value. Inform. Manage., 51: 762-773.
    CrossRef    
  3. Kim, B. and C. Park, 2010. Coordinating decisions by supply chain partners in a vendor-managed inventory relationship. J. Manuf. Syst., 29: 71-80.
    CrossRef    
  4. Kim, D.H. and D.H. Kim, 1997. System dynamics model for a mixed strategy game between police and driver. Syst. Dynam. Rev., 13: 33-52.
    CrossRef    
  5. Li, C. and W. Duan, 2013. Renewable energy policies impact concentrated solar power development in inner mongolia using the LEAP model. Energy Educ. Sci. Tech. A Energ. Sci. Res., 31: 601-604.
  6. Shih, Y.H. and C.H. Tseng, 2014. Cost-benefit analysis of sustainable energy development using life-cycle co-benefits assessment and the system dynamics approach. Appl. Energ., 119: 57-66.
    CrossRef    
  7. Sice, P., E. Mosekilde, A. Moscardini, K. Lawler and I. French, 2000. Using system dynamics to analyse interactions in duopoly competition. Syst. Dynam. Rev., 16: 113-133.
    CrossRef    
  8. Tian, Y.H., K. Govindan and Q.H. Zhu, 2014. A system dynamics model based on evolutionary game theory for green supply chain management diffusion among Chinese manufacturers. J. Clean. Prod., 80: 96-105.
    CrossRef    
  9. Wang, H., L. Cai and W. Zeng, 2011. Research on the evolutionary game of environmental pollution in system dynamics model. J. Exp. Theor. Artif. In., 23: 39-50.
    CrossRef    
  10. Wang, J., A. Botterud, G. Conzelmann and V. Koritarov, 2008. Multi-agent system for short and long-term power market simulations. Proceeding of the 16th Power System Computation Conference (PSCC, 2008), pp: 1-7.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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