This research aims to provide a picture of the elements influencing customers' intentions to purchase luxury products online using social exchange theory (SET). Second, we determined whether perceived enjoyment moderates the relationship between perceived value, consumer attitude, and intention to purchase luxury products. Data were collected from 389 participants through an online survey. Structural equation modelling (SEM) was used to analyze the data. The results showed that eWOM, perceived value, and consumer attitudes significantly affected luxury purchase intention. Moreover, perceived enjoyment moderates the relationship between perceived value, consumer attitude, and purchase intention. This study is designed to help practitioners and researchers understand why young Chinese consumers are interested in purchasing luxury goods online. Luxury brand companies can improve their marketing strategies by developing strategies aligned with the mindset of digital native Generation Z.

With the advent of artificial intelligence, computer-aided instruction has developed into intelligent computer-aided instruction. Computer-aided instruction not only overcomes many weaknesses of traditional physical education teaching but also significantly increases the teaching effect and efficiency. This article first studies and analyzes the characteristics of computer-aided instruction systems. Then, we use statistical methods and logical analysis to randomly select two classes of undergraduate students as the experimental and control group, respectively. In the control group, the traditional teaching model was adopted, while the experimental group adopted the computer-aided teaching mode. The experimental group showed significant improvement in physical education as compared to the control group. The results of this study validated that the use of computer-assisted instruction is beneficial in the implementation of physical education programs, mostly in teaching concepts and principles of academic nature.

Under environmental governance constraints, in order to explore the quantitative contribution of green innovation efficiency to carbon peak and carbon neutralization at the urban level, this paper uses the unexpected Super-SBM model to measure the green innovation efficiency of each prefecture-level city based on the panel data of 40 prefecture-level cities in the Yangtze River Delta from 2010 to 2019. Furthermore, the panel fixed effect model is constructed, and the two-stage least squares estimation method is used for empirical research. It is found that green innovation efficiency can significantly reduce carbon emissions in the Yangtze River Delta, promote carbon emissions in the Yangtze River Delta to reach an early peak, and achieve the long-term goal of carbon neutrality as soon as possible. This conclusion is still stable after solving the endogenous problem and the influence of outliers. The results of regional heterogeneity analysis show that green innovation efficiency has remarkable effects on carbon emission reduction in Anhui and Zhejiang Provinces, and the emission reduction effect in Zhejiang Province is greater than that in Anhui Province. In addition, there exists obvious heterogeneity between different quantiles for the impact of green innovation efficiency on carbon emissions, showing an “inverted U” shape, and its intensity in the context of medium carbon emissions is greater than that of low carbon and high carbon emissions.

In order to investigate the extent of the impact of changes in urban housing prices on the transformation and upgrading of industrial structure and the spatial related characteristics under the big data environment, this paper based on the sample data of cities at prefecture level and above in China from 2007 to 2016 establishes a spatial dynamic Durbin model with spatial geographical proximity, spatial geographic distance and spatial economic distance as weight matrix, so as to measure the direct impact of housing price fluctuation on industrial structure upgrading Indirect effect and indirect effect.

The Yangtze River Delta region is facing the demand for high-quality economic development, and the study of urban network as a manifestation of the interaction between cities is becoming increasingly important. This study focused on the node structure of the urban network in the Yangtze River Delta urban agglomeration from 2010 to 2021, used the modified gravity model to construct a polycentric city network from the perspective of economic flow, used the spatial Durbin model for spatial econometric analysis, and identified the conduction path through the two-step method of causal stepwise regression mediating effect test. The results show that Shanghai, as the core node city, has significantly promoted the economic development of Hangzhou, Nanjing, Hefei, and other cities and formed a metropolitan network structure characterized by “one core and five circles”. Under different spatial weight matrices, the polycentric city network has a significant positive impact on economic growth, and its impact is not only related to the economic level of the city itself but also closely related to the economic status of its neighboring cities. The polycentric city network significantly enhances economic growth by accelerating the flow of regional factors, promoting regional industrial division of labor and cooperation, and enhancing regional innovation capabilities.

This paper is aimed at investigating the impacts of health cost and risk preference on farmers’ protective behavior of pesticide in a case study of Wuhu city in China. Based on the field survey data from 523 farmers in the main grain-producing areas, the cost of illness (COI) method was employed to quantitatively measure the health cost (HC) of pesticide application, the Likert scale was used to measure the risk preference (RP) of pesticide applicators, and the autoregressive threshold model was used to test the impact of health cost and risk preference on farmers’ protection behavior in the process of pesticide application. The key findings of this research case study reveal that when the health cost and risk preference are both lower than the critical value ( , ), the health cost does not affect improving the protection level of farmers in the process of pesticide application. However, when the risk preference exceeds the critical value ( ), and the health cost exceeds a certain critical value ( ), they have a significant positive effect on improving the protection level of farmers in the process of pesticide application. High health cost combines with higher risk preference ( , ) which can significantly improve the protection level of farmers in the process of pesticide application.