In the context of the continuous development of Internet technology and international logistics, the impact of cross-border e-commerce is expanding. Cross-border e-commerce transactions are characterized by a wide variety of products, low prices, and short procurement times. As a result, consumers are increasingly intention to shop on cross-border e-commerce platforms. The number of consumers placing orders is also increasing. Simultaneously, consumer perception, trust and attitude play crucial roles in influencing consumers' shopping behavior on cross-border e-commerce platforms. This study employs structural equation and intermediary effect analysis to explore the mechanism through which various factors influence consumers' purchase intention. The authors examine the relationship between five components: consumer perception, trust, attitude, and purchase intention. The findings reveal the following: (1) The improvement of consumers' perceived value and subjective display intention positively influences their purchase intention. Conversely, a decrease in these factors hampers consumers' intention to buy. (2) When the level of shopping risk increases, consumers' purchase intention tends to decrease. Conversely, when the risk of shopping is reduced, consumers' intention to buy shows an increase. (3) Consumer trust and attitude play a significant mediating role in the relationship between independent variables and dependent variables. This study lays an important theoretical foundation for future research in this field. It expands the application scenarios of related research methods. Additionally, the conclusions of this study provide valuable references for managers of cross-border e-commerce enterprises in making informed management decisions.

Background: As human beings enter the digital age, the impact of the digital economy on environmental regulation and corporate green technology innovation (CGTI) is expanding. In order to effectively strengthen the efficacy of environmental regulation and improve the green technology innovation ability of corporate, this paper conducts in-depth research on the influence process of the digital economy and environmental regulation on the CGTI. Methods: Based on the mediating variable environmental regulation, this paper explores the influence process of the digital economy on CGTI. Combined with empirical analysis methods such as the fixed-effect model, mediating effect model, spatial model and regression analysis, the authors reveal the influence process of the digital economy on CGTI. Results: The digital economy can directly promote the improvement of the green technology innovation level of CGTI. The digital economy can indirectly affect the CGTI through the mediating variable of environmental regulation, marginal effect and spatial spillover effect. Conclusions: The digital economy and CGTI had a significant spatial correlation among different regions in China. In different regions of China, there are significant differences in the relationship between the digital economy, environmental regulation and CGTI.

With the advancement of the green economy, the influence of the environmental regulations on green technological innovation and the green economy is increasingly expanding. This paper investigates the impact of the environmental regulations and corporate green technological innovation on the green economy. We hope to explore how the environmental regulations affect the green economy through corporate green innovation. Thus, the research aims to enhance our understanding of the impact of the environmental regulations on the green economy. By incorporating the fixed-effects models, mediation models, spatial models, and regression analysis, this paper unveils the impact process of the environmental regulations on the green economy. The research findings are as follows: (1) The environmental regulations show the direct capacity to facilitate the elevation of the green economy. (2) Through the mediating variable of corporate green technological innovation, the environmental regulations could indirectly enhance the green economy. (3) Significant spatial correlations exist between the environmental regulations and corporate green technological innovation activities across the different regions in China. (4) Substantial disparities are evident in the relationships among the environmental regulations, green technological innovation, and the green economy across the various regions in China. The findings presented in this paper serve to broaden the scope of research on the relationship between the environmental regulations and the green economy. Moreover, it offers essential insights for the relevant government authorities and businesses in formulating management policies.

The impact of green technology innovation and the digital economy on the sustainability of the green economy is increasing. To delve deeper into this subject, this paper utilizes fixed- effect models and threshold effect models. It examines data from 34 provincial administrative regions of China. The aim is to uncover the patterns of influence the green technology innovation and the digital economy have on the sustainability of the green economy. The research findings are as follows: (1) The green technology innovation, digital economy, and their interaction contribute to promoting the high-quality sustainability of the green economy. The sustainability of the green economy relies on the support of green technology innovation and the digital economy. By optimizing the capabilities of green technology innovation and the level of digital economy, managers could enhance the high-quality sustainability of the green economy. (2) The digital economy exhibits a dual threshold effect in driving the sustainability of the green economy through green technology innovation. When the digital economy surpasses the first threshold, the influence of green technology innovation on the green economy experiences a notable increase. However, once the digital economy surpasses the second threshold, the impact of green technology innovation on the green economy begins to diminish significantly. (3) There are notable regional variations in the impact of green technology innovation and digital economy on the sustainability of the green economy across different regions of China. Considering these findings, it is vital for stakeholders in China to implement customized measures. These measures should aim to actively promote the sustainability of China’s green economy. The relevant stakeholders include businesses and the government.

In recent years, the digital economy and the green economy have become integral parts of China’s economy. Chinese government has been actively expanding its support for the development of these sectors. However, there are still several obstacles hindering the progress of the digital economy and the green economy in China. The objective of this study is to delve into the impact mechanism of the digital economy on the green economy. Moreover, this paper innovatively integrates industrial structure and technological innovation into this impact process. We elucidate the significant roles played by these two mediating variables. Simultaneously, we employ the bidirectional fixed-effect model, baseline regression, and robustness tests to analyze the data from 31 provinces in China between 2012 and 2021. The conclusions of this study are as follows: (1) The development of the digital economy in China contributes to the improvement of the level of the green economy. (2) When the digital economy influences the green economy, the upgrading of industrial structure and technological innovation play significant roles. (3) The impact of the digital economy on the green economy varies across diverse regions in China. This study reveals the impact mechanism of the digital economy on the development of the green economy using variables of industrial structure and technological innovation. It enriches the research content in this field and extends the application scenarios of related research methods. The conclusions provide valuable references for promoting the development of both the digital economy and the green economy in China.