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Background Today, the popularization of mobile internet technology has enabled the public’s need for food convenience and diversity arising from modern fast-paced lifestyles to be met at a relatively low cost. The digital age of the restaurant industry has arrived. Online food delivery (OFD) is rapidly developing globally. However, the public’s awareness of the nutritional quality of food through OFD and their knowledge of dietary nutrition remain to be investigated. Methods In the context of China, this study attempts to evaluate the nutritional quality of best-selling OFD set meals (i.e., meal combos) based on the current official Chinese dietary guidelines 2022. It accomplishes this by collecting data on popular OFD restaurants among consumers in 115 Chinese universities from the restaurants’ delivery addresses. Moreover, 20,430 valid questionnaires were collected online from undergraduates, graduate students, and other young groups aged 18–30 throughout China for descriptive analysis to investigate consumers’ perceptions of the nutritional quality of food through OFD and its health impact. Results The results of the nutritional quality evaluation of the OFD set meals ranged widely from 15 to 85, with a mean of 36.57 out of a possible maximum score of 100; and 89.56% scored less than 50. The nutritional quality of OFD foods was thus generally low. The nutritional quality of foods was negatively correlated with their popularity among consumers. Conclusions Young OFD consumers generally paid low attention to dietary nutrition knowledge and seldom paid attention to nutritional quality when choosing OFD foods while the nutritional quality of OFD foods was generally low. Respondents subjectively reported that long-term consumption of OFD food caused weight gain, increased blood lipids, and gastrointestinal discomfort. They thought that the reason might be excessive oil, salt, and sugar in the food, while ignoring the balance between different types of food.

The popularization of the Internet and the convenience of e-commerce are driving the online restaurant industry’s rapid development of worldwide. However, serious information asymmetries in online food delivery (OFD) transactions not only aggravate food safety risks, resulting in simultaneous government and market failures, but also intensify consumers’ perceived risks. This paper innovatively constructs a research framework for the governance participation willingness of OFD platform restaurants and consumers under the moderating effects of perceived risks from the perspective of control theory and then develops scales for analyzing the governance willingness of both restaurants and consumers. Using data collected through a survey, this paper explores the effect of control elements on governance participation by restaurants and consumers and analyzes the moderating effects of perceived food safety risks. Results showed that both government regulations and restaurant reputation (formal control elements) and online complaints and restaurant management response (informal control elements) can increase governance participation willingness among both platform restaurants and consumers. The moderating effects of perceived risks are partially significant. When the risks perceived by restaurants and consumers are strong, government regulation and online complaints can more effectively boost the governance participation willingness of restaurants and consumers, respectively. At this moment, consumers’ willingness to pursue problem solving through online complaints is evidently enhanced. Accordingly, the perceived risks and the online complaints jointly motivate restaurants and consumers to participate in governance activities.

We propose an agent-based articial stock market to investigate the inuences of social networks on the nancial market. The articial stock market contains four types of traders whose information sets and trading strategies are dierent. Genetic Programming is employed in informed and uninformed traders' learning behavior and heterogeneity with the application of articial intelligence. When information is exogenous, social networks result in higher market volatility and trading volume, and decrease price distortion and bid-ask spread. When information is endogenous, the inuences of social networks on the nancial market are reversed, which indicates that social networks harm market eciency, decreases the trading volume and increases bid-ask spread. The reason is that social networks harm information production after traders tend to rely on information from communication, instead of spending a cost on it.

This paper investigates whether noise traders can survive in the long run and how they influence financial markets by proposing an agent-based artificial stock market, as one simulation model of computational economics. This market contains noise traders, informed and uninformed traders. Informed and uninformed traders can learn from information by using Genetic Programming, while noise traders cannot. The system is first calibrated to real financial markets by replicating several stylized facts. We find that noise traders cannot survive or they just transform to other kind of traders in the long run, and they increase market volatility, price distortion, noise trader risk, and trading volume in the market. However, regulation intervention, e.g., price limits, transaction tax and longer settlement cycle, can affect noise trader’s surviving period and their influence on markets.