Because of economic reform, dietary pattern in China changed rapidly during the past two decades. Meanwhile, the changes of income and nutrients intake had the same trend. This study aims to measure the income-related inequality in daily nutrients intake and its health-related income mobility over time. Data was sourced from four waves of China Health and Nutrition Survey. Concentration indexes and health-related income mobility indexes were employed to measure the income-related inequality of nutrients intake and its change over time. This study found that the daily protein intake, daily fat intake, daily energy intake, and proportion of energy from fat over 30% were more concentrated on the rich, whereas daily carbohydrates intake among the poor. The income-related inequalities were more severe than the cross-sectional perspective in the long run. The dynamic change of urbanisation indexes has resulted that over 30% of energy from fat was more concentrated among the rich and carbohydrates intake among the poor. The nutrition transition may bring about more severe disease economic burden to the poor in the future. This study recommends an approach to minimize gaps between rural and city areas by promoting rural revitalization to reduce the income-related inequality in daily nutrient intake.

This paper discusses the impact of network externalities on the green strategies of enterprises at each node of the supply chain. The existing related research mainly addresses the influence of factors such as government regulation, consumer behavior characteristics, and node enterprise behavior on green supply chain decision making. While these studies provide excellent ideas, the impact of network externalities on both green manufacturing and green marketing strategies is often disregarded. This paper uses evolutionary game theory to construct a utility function based on network externalities and consumer green preferences. The Stackelberg game is used to analyze the revenue function of supply chain members under different strategies, showing that under different strategies, network externalities and consumer green preferences have different effects on revenue in the supply chain. To understand the influence of network externalities on green supply chain strategy choices, the evolutionary game model is used. This model allows analyzing the evolutionary stable strategies of manufacturers’ green manufacturing and retailers’ green marketing. The mechanism underlying the influence of network externalities and consumer green preferences on green supply chain decision making is demonstrated. This helps to explain the green strategy decisions of upstream and downstream enterprises in the supply chain.