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.

With the strengthening of social environmental regulations, consumers’ green products purchasing intention is also increasing significantly. Simultaneously, green marketing activities have developed into a vital factor affecting consumers’ green products purchasing intention. The first research aim of this paper is to reveal the important relationship between environmental regulation and consumers’ green products purchasing intention. Furthermore, another research aim is to reveal the role of green marketing in environmental regulation and consumers’ green products purchasing intention. To achieve the above purpose, we primarily employ regression analysis, threshold effect analysis, spatial spillover effect analysis, and heterogeneity tests. We come up with some conclusions. First of all, environmental regulations could enhance consumers’ green product purchasing intention. With the reinforcement of environmental regulations, consumers’ green product purchasing intention could be effectively elevated. Secondly, green marketing is a positive mediator of the environmental regulations that affect the consumers’ green product purchasing intention. By enhancing their green marketing capabilities, businesses could also strengthen consumers’ green product purchasing intention. Lastly, in different regions of China, the impact of environmental regulations and green marketing on consumers’ green product purchasing intention varies. In the Eastern region, the influence of environmental regulations on consumers’ green product purchasing intention is most prominent. However, green marketing exerts the greatest impact on the consumers’ green product purchasing intention in the Western region. In addition, this paper provides significant insights for the managers in making management decisions. This is beneficial for enhancing consumers’ green product purchasing intention.

Increasing export technology complexity could effectively enhance export competitiveness. High-tech exports generally show lower resource consumption and environmental pollution, thus promoting sustainable economic development. However, immature factor markets could lead to factor price distortions. In fact, factor price distortions hinder improvements in export technology complexity. Thus, this study measures the degree of factor price distortions in various regions of China. Empirical methods such as regression model analysis and heterogeneity analysis are used. We reveal the mechanism of how factor price distortions affect export technology complexity. The conclusions are as follows: (1) Factor price distortions suppress the enhancement of export technology complexity. As the degree of factor price distortions increases, export technology complexity decreases. (2) Factor price distortions show significant regional heterogeneity in the suppression of export technology complexity. The impact gradually decreases from west to east. (3) Factor price distortions could hinder improvements in export technology complexity by weakening the positive effects of the FDI and trade openness. However, with the continuous advancements in market-oriented reforms, this inhibitory effect will gradually diminish. Studying the impact of factor price distortions on the sophistication of export technology significantly enhances economic competitiveness. It also improves resource allocation and further promotes the sustainability of economic development and green development. Furthermore, the logic and principles behind the impact of factor price distortions on export technology complexity can provide valuable insights for our consideration of sustainability in the workplace.