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This paper formulates an evolutionary game model between the government and nucleic acid testing institution under four different mechanisms of reward and punishment to solve the issue of nucleic acid testing supervision. Our results reveal the appropriate punishment for the negative act of the government can enhance the positivity of the government’s supervision in the strategy of dynamic reward and static penalty, while the upper limit of the reward for nucleic acid testing institution of no data fraud cannot be too high. Otherwise, it will backfire. Another interesting and counterintuitive result is that in the strategy of dynamic reward and dynamic penalty, the upper limit of the penalty for data fraud of nucleic acid testing institution cannot be augmented recklessly. Otherwise, it will diminish the government's positivity for supervision.

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This page is a summary of: Punish or reward? How to strengthen supervision of nucleic acid testing, Kybernetes, July 2023, Emerald,
DOI: 10.1108/k-12-2022-1722.
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