In the context of the digital information era, consumers’ information capability plays a crucial role in shaping their green consumption intention. To delve deeper into the dynamics of how information capability influences consumers’ green consumption intention, this study constructs a theoretical model grounded in information asymmetry theory and cognitive bias theory. Additionally, the mediating role of green trust and the moderating role of media publicity are incorporated to comprehensively investigate the influence mechanism of information capability on consumers’ green consumption intention. Empirical analysis is conducted based on data collected through a questionnaire survey. The findings of this study reveal that information capability exerts a partially mediating effect on consumers’ green consumption intention. Specifically, information capability directly influences consumers’ green consumption intention, and it also indirectly impacts their green consumption intention through its influence on green trust. Furthermore, media publicity positively moderates the relationship between information capability and consumers’ green consumption intention. This research contributes to the existing literature by enhancing our understanding of the influence pathway leading to green consumption intention. Its insights offer valuable implications for promoting green consumption and advancing sustainable development initiatives.

With the year-on-year growth of e-commerce transactions and the increasing popularity of the concept of ecological civilization, the waste and recycling of express packages have aroused widespread discussion and attention. On the issue of express package recycling, how consumers, e-commerce enterprises, and e-commerce platforms choose their own strategies, how to better promote the recycling of express packages, and what is the effect mechanism of government subsidies on different players. These are the questions that this article wants to answer. Since this article involves many stakeholders, in order to better identify the strategic choice and evolution of different entities and to better study the influence of government subsidies on the strategic choice of game players, this article uses two triparty evolutionary game models. The results show that without subsidies, changes in the rate of return and the initial probability will affect the evolution of the equilibrium strategy, while the synergistic benefits will have a corrective effect in some cases; when government subsidies are included and the probability of the three parties choosing “green strategies” is relatively low, subsidies should be paid to e-commerce companies mainly; lower subsidies can only provide incentives for e-commerce platforms. This article can provide certain references and value for government policymakers.

This study examined the relationship between environmental regulations (ER) and green economic efficiency (GEE) based on the panel data of 30 provinces in China from 2008 to 2017. Firstly, GEE was calculated and evaluated using the super-efficiency SBM model with undesirable outputs. Secondly, the impact of ER on GEE was studied with the Tobit model. Finally, this article draws conclusions based on the above analysis and offers some suggestions for government and enterprise. The results show that the GEE of China is generally low. The GEE of the eastern region is much higher than that of the middle and western regions, with the western region performing slightly better than the middle. From west to east, there is a V shape, with high efficiency in the west and east and low efficiency in the middle. The impact of ER on GEE has the characteristics of nonlinearity and spatial heterogeneity. At the national level, as well as in the middle and western regions, the impact of ER on GEE shows an inverted U shape that first rises and then falls. ER are currently within the range conducive to the development of GEE. If the intensity of ER exceeds the critical value, they will have a negative impact on GEE. In the eastern region, the impact of ER on GEE is shown as a U shape that first falls and then rises. At present, the ER are not of sufficient intensity to contribute to the improvement of GEE. Only when the intensity of the ER exceeds the critical value will they have a positive influence on the GEE.

The field of gaming is an emerging field that receives a lot of attention nowadays, so its good development is important for the economy and society. In order to solve the potential problems of game development, this thesis collects the total number of users playing Wordle game, the difficulty of words and the number of attempts for the past 12 months, firstly pre-processing to eliminate the abnormal data, then using SPSS software to analyze the data from regression model and SVM model, using its dichotomous method to accurately fit the data, relying on the regression model The prediction model of the total number of users playing the game was established based on the principle of regression model, while the concept of SVM classification model was used to define the difficulty of the words of the Wordle game to establish the prediction model of the number of attempts per day for the users, and then the trend of the number of users and the number of attempts per day could be grasped through the two prediction models. Thus, Wordle game operators can take corresponding measures to maintain the game's popularity and ensure the number of users per day, which can help the game operators to generate more economic benefits.