Abstract
This paper aims to construct an index system of evaluating food safety status, composed of three sub-systems—quantity safety, quality safety, and development safety. The index system is designed to collect annual data from 2005 to 2017 and run a chronological evaluation on China’s food safety status based on an entropy method. The evaluation results indicate that though China’s food safety supervision effect has been stably sound, the highest score is 0.7392 (in 2017). In addition, the proportions of the above three sub-systems were changed towards a balanced trend, with quality safety rising from less than 7% to 36.19% as a significant part of the evaluation of the effect of food safety supervision. In terms of single indexes, agrochemical input intensity and the ontology of agro-production safety have made relatively great contributions, while the indexes that embody price safety lack stability, and the roles of indexes related to development safety in the effect of food safety supervision have been increasingly recognized and valued.
Highlights
Information asymmetry is the source of food safety issues, leading to adverse selection, moral hazards, and higher transaction cost in the food market
Previous studies on the effectiveness of food safety supervision mainly focused on whether supervision could solve the problem of information asymmetry
Li Gongkui et al put forward that lack of government supervision drove the food market into “a market for lemons”, and that government supervision can indirectly help information transfer to offset market failure due to poor food safety caused by information asymmetry [3]
Summary
Information asymmetry is the source of food safety issues, leading to adverse selection, moral hazards, and higher transaction cost in the food market. As the role of government supervision became increasingly recognized as that of solving information asymmetry in food safety, scholars started to pay attention to how to improve the effectiveness of supervision. A few scholars started to evaluate the effect of food safety supervision, focusing on studying the economic efficiency, institutional performance, and mechanism of supply and demand of food safety supervision. Li Zhongdong applied the VAR (Value at Risk) model to run analysis on five indexes—labor productivity, gross output of the food industry, supervision frequency, punishment frequency, and pass rate in spot checks, and found that supervision frequency, punishment frequency, and labor productivity are beneficial to improving the effect of safety supervision on the food industry [22] All of these efforts are sound references for evaluating the effect of food safety supervision, but they cannot cover the overall goals of the current supervision. At the same time, based on the analysis, this paper proposes reasonable suggestions on policies as a reference for the improvement of China’s system for supervision of food safety
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