Recall characteristics and food safety process control

Ollinger, Michael

doi:10.1016/j.foodpol.2024.102618

Food Policy

2024

DOI: 10.1016/j.foodpol.2024.102618

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Recall characteristics and food safety process control

Michael Ollinger

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2024

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Assessment of the synergy degree of China's food safety risk governance policy tools based on text mining and machine learning methods

Sha,

Qin,

Zhu

et al. 2024

Int J of Food Sci Tech

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SummaryImplementing proactive and effective policy tools is essential for governments to manage food safety risks. Existing studies have overlooked the synergistic effects among policy tools for governing food safety risks in China. This study uses policy tool synergy to develop a quantitative model to evaluate the degree of synergy among policy tools for food safety risk governance by considering its vertical, horizontal, and temporal dimensions. Using the Top2Vec topic model and text mining techniques, we examined 558 policy documents implemented by the central and six provincial governments. The findings reveal that China's food safety risk governance system has established a collaborative mechanism, with the Administration for Market Regulation, the Department of Agriculture and Rural Affairs, and the Health Commission playing crucial roles in policy implementation. Vertical and horizontal synergies between the upper and lower levels of government and among departments at the same level are crucial for enhancing comprehensive synergy.

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Assessment of the synergy degree of China's food safety risk governance policy tools based on text mining and machine learning methods

Sha,

Qin,

Zhu

et al. 2024

Int J of Food Sci Tech

View full text Add to dashboard Cite

show abstract

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Recall characteristics and food safety process control

Cited by 1 publication

References 15 publications

Assessment of the synergy degree of China's food safety risk governance policy tools based on text mining and machine learning methods

Assessment of the synergy degree of China's food safety risk governance policy tools based on text mining and machine learning methods

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