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System Dynamics Simulation and Countermeasure Analysis of Food Safety Regulatory Model

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Published:24 March 2021Publication History

ABSTRACT

In the context of the high incidence of food safety incidents in China in recent years, the governance model of co-governance has been proposed and received attention. The current mode of food safety regulatory in China has been the education and information mode, which is in between authoritarian control to social co-governance. The system dynamics model of food safety regulatory mode is established through field research on food market, food and drug administration, industry and commerce administration and other related aspects of food safety supervision in W district of a city in hubei province. Based on this model, a simulation analysis of food market operation state, food safety supervision performance and supervision cost was conducted. The results show that compared with education, the model of social co-governance can significantly save the cost of regulatory and improve the performance of regulatory. The running state of food market is more stable and orderly.

References

  1. ZHANG Man, TANG Xiaochun, PU Mingzhe, et al. Food safety and social co-regulation: enterprise, government and third-party supervision forces[J]. Food Science, 2014(13):286--292.Google ScholarGoogle Scholar
  2. ZENG Xianghua. Model transformation and legalization of the main body of food safety supervision [J]. Journal of Swupl, 2009(1): 22--30.Google ScholarGoogle Scholar
  3. QI Meng. From authoritarian control to cooperative governance: transformation of food safety supervision model in China[J]. Hebei Law Science, 2013(3): 50--56.Google ScholarGoogle Scholar
  4. PHILIP E. Possibilities and constraints in the use of self-regulation and co-regulation in legislative policy[J]. Electronic Journal of Comparative Law, 2005, 9(1):102--114.Google ScholarGoogle Scholar
  5. GARCIA MARTINEZ M, FEARNE A, CASWELL J A, et al. Co-regulation as a possible model for food safety governance: opportunities for public-private partnerships[J]. Food Policy, 2007, 32(3):299--314.Google ScholarGoogle ScholarCross RefCross Ref
  6. LIU Mei, WU Lang. Discussion on food supply chain risk management from the perspective of system dynamics[J]. Commercial Times, 2011(18): 30--31.Google ScholarGoogle Scholar
  7. CHEN Yu. Risk Identification of Fresh Food Supply Chain Based on System Dynamics[J]. Logistics Technology, 2012(23):405--407.Google ScholarGoogle Scholar
  8. LI Changbing, JING Aijia, ZHANG Feimin. Food Supply Chain Safety Supervision Based on System Dynamics [J]. Hubei Agricultural Sciences, 2013(21): 5389--5393.Google ScholarGoogle Scholar
  9. GAN Xiaoqing, GAO Kuo. System dynamics simulation and countermeasure analysis of pig supply chain model[J]. Chinese Journal of Systems Science, 2012(3): 46--49.Google ScholarGoogle Scholar
  10. MU Jing, LI Qing, LIU Wenqiang. Influence mechanism of corporate food safety culture based on system dynamics[J]. The Food Industry, 2016(8):226--230.Google ScholarGoogle Scholar
  11. MA Ying, WU Chen, HU Jingjing, et al. Consumer food safety risk perception information search behavior based on SD-SEM model[J]. System Engineering Theory and Practice, 2017, 37(4): 962--971.Google ScholarGoogle Scholar
  12. PENG Yala. On Social Co-regulation of Food Safety[J]. Science and Technology of Food Industry, 2014(2):18--22.Google ScholarGoogle Scholar
  13. JIA Yaling, WANG Hong, LIU Songtao. Risk communication in food safety co-regulation-how companies play the role of communicator[J]. Food and Fermentation Industries, 2016, 42(11):278--282.Google ScholarGoogle Scholar

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  1. System Dynamics Simulation and Countermeasure Analysis of Food Safety Regulatory Model

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    • Published in

      cover image ACM Other conferences
      EBIMCS '20: Proceedings of the 2020 3rd International Conference on E-Business, Information Management and Computer Science
      December 2020
      718 pages
      ISBN:9781450389099
      DOI:10.1145/3453187

      Copyright © 2020 ACM

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      Publication History

      • Published: 24 March 2021

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      EBIMCS '20 Paper Acceptance Rate112of566submissions,20%Overall Acceptance Rate143of708submissions,20%
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