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Evaluation Of The Effectiveness Of Smart Supervision Of Food Safety In Shandong Provinc

Posted on:2024-05-28Degree:MasterType:Thesis
Country:ChinaCandidate:Y LinFull Text:PDF
GTID:2569306914491474Subject:Population, Resources and the Environment
Abstract/Summary:PDF Full Text Request
Food safety is no small matter,it is related to people’s health and life safety,social stability and national economic development.The report of the 19 th National Congress of the Communist Party of China(CPC)takes food safety to a new level,making food safety strategy an important part of healthy China strategy.With the rapid development of the Internet,all walks of life develop new forms of business,which also change the structure of food industry,causing new food risks,new regulatory needs can not be met by the traditional government regulatory model.The openness and progress of Internet technology can provide a better platform and technical support for government governance,and intelligent supervision also comes into being.Therefore,to clarify the changes in food safety risks in recent years,and to explore the impact of intelligent supervision on food safety risks,it is of great significance to scientifically use intelligence to supervise and prevent food risks and implement food safety strategy.Based on the literature review,this paper evaluates the effect of intelligent supervision on food safety in Shandong province by using Information asymmetry theory and intelligent supervision theory,and clarifies the train of thought for promoting intelligent supervision.Taking the data of 4674 samples of food safety in Shandong province as an example,through the food safety risk orientation matrix,the characteristics of food safety risk in Shandong province in recent years are clarified,and the links and causes of food safety problems are accurately located.Secondly,the spatial transmission characteristics of food safety risk in Shandong province and the difference of food safety risk level in different cities were analyzed by social network method.Finally,on the basis of combing the domestic and foreign related literature,the paper constructs the econometric analysis model of supervision ability and food safety risk,and evaluates the overall effect of food safety intelligent supervision,it also classifies the intelligent supervision of food safety,probes into the differences of various intelligent supervision modes,and clarifies the shortcomings of current intelligent supervision.The main conclusions are as follows: first,the unqualified rate of vegetables,aquatic products,aquatic products,purified water,cakes and tableware in Shandong province is high,and it is the kind of food safety problems that are most likely to occur,in Linyi,Qingdao,Weifang,Jinan,Liaocheng and Yaitai there are a lot of unqualified food.The main causes of unqualified food are over-standard food additives and microbial contamination.The detected amount of vegetables,aquatic products and aquatic products,poultry meat and its by-products was higher in the food categories detected in different places.Second,through the analysis of the social network of food safety risk transmission,it is found that from 2016,the spatial transmission of food risk in Shandong province,especially the general trend of transcity transmission,is becoming more and more obvious,agglomerative subgroup analysis shows that 16 cities in Shandong province can be divided into four subgroups according to the spatial transmission of food safety risk.Thirdly,the results of empirical test show that urban intelligent supervision has a significant impact on food safety risk,and can restrain the emergence of urban food safety risk,there is a need to reduce food safety risks through enhanced sector co-operation and a combination of smart regulatory tools.In order to reduce the risk of food safety in Shandong province,the following countermeasures and suggestions are put forward:(1)improve the utilization rate of intelligent supervision platform.(2)to strengthen the supervision of local specialty foods.(3)enhancing the skills of the staff.(4)providing technical support to underdeveloped areas.
Keywords/Search Tags:Intelligent Regulation, regulatory reform, food safety risk, social network analysis
PDF Full Text Request
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