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This paper aims to reveal the green governance role played by stock connect in transition economies from the perspective of corporates’ environmental violations and provides implications for the coordination and optimization of subsequent stock market liberalization and green transformation policies in pursuit of carbon peaking and carbon neutrality goals.

With the data of Chinese listed enterprises, this paper takes the Shanghai-Hong Kong Stock Connect or Shenzhen-Hong Kong Stock Connect in China as a quasi-natural experiment and applies the multi-period difference-in-difference (DID) model to identify the impact of stock market liberalization on the corporates’ environmental violations.

The findings reveal that the stock market liberalization significantly restrains the corporates’ environmental violations. These findings are robust to a series of sensitivity tests, including excluding two-way effects, adjusting the year of policy implementation, replacing the core variables, introducing the regional fixed effects and excluding the interference effect of other relevant policies during the sample period. Furthermore, the stock market liberalization is beneficial for upgrading information disclosure quality, improving internal governance capability, strengthening environmental protection incentives, and thus restrains corporates’ environmental violations. Meanwhile, heterogeneity tests show that the inhibitory effects are more significant in those grouped samples which is large scale, state-owned nature, located in eastern region, with poor evaluation performances and heavy tax burden.

We make two marginal contributions to the current literature. First, this paper enriches the literature on the factors influencing corporate environmental violations by focusing on how the macro-level financial policy influences the micro-level corporate environmental violations. One the one hand, prior studies mainly focused on the consequences of corporate environmental violations; however, there is still a puzzle that the effect of stock market liberalization cannot be fully justified to influence corporate environmental violations. The findings help explain this puzzle by examining that stock market liberalization can restrain corporate environmental violations. Moreover, prior studies mainly focused on corporate share price (Yunsen Chen et al., 2022), market liquidity (Han Kim and Singal, 2000), information disclosure (Liang, Lin, and Chin 2012), corporate governance (Bae and Goyal, 2010) and corporate violations (Lingyun Xiong et al., 2021), but not on corporate environmental violations. We assume that the suppression effect of stock market liberalization on corporate environmental violations can help reduce corporate environmental violations, improve corporates’ awareness of environmental compliance. Second, this paper contributes to a better understanding of the literature on stock market liberalization by investigating the restraining effect of Stock Connect on corporate environmental violations from the perspective of information channel, corporate governance channel and motivation channel, which is of practical significance. Moreover, we investigate the differences in the inhibitory effects of stock market liberalization on different enterprises' environmental violations, from firm size, property rights, enterprise assessment results, tax burden to geographical location, which is conducive to the construction of a green financial system and the promotion of sustainable economic development. Our results show that firms which are large scale, state-owned nature, located in eastern region, with poor evaluation performances and heavy tax burden tend to compliance with environmental laws. These findings emphasize the importance and benefits of Stock Connect.

This study investigated consumer perceptions of AI chatbots focusing on sentiment analysis across Twitter (X) and Reddit during ChatGPT3 through ChatGPT4 launches. It identifies user sentiments: positive, negative, or neutral and explores their impact on chatbot deployment in interactive marketing. The goal was to understand consumer engagement dynamics and provide insights for enhancing marketing strategies and consumer interactions with chatbots.

Using sentiment analysis, this research examined the nature and scope of discussions surrounding AI chatbots. This methodological approach allowed for a nuanced understanding of the predominant sentiments: positive, negative, or neutral, expressed by users providing insights into consumer engagement and interaction patterns.

The findings reveal a diverse range of consumer sentiments toward ChatGPT 3, reflecting varying degrees of acceptance and skepticism. These varied sentiments are crucial for organizations in shaping their interactive marketing strategies, particularly in how they deploy chatbots for consumer engagement and brand interaction.

Trust and positive sentiment toward ChatGPT, particularly on platforms like Twitter and Reddit, suggest it is becoming part of everyday life. However, concerns about its impact on human jobs and the lack of emotional intelligence persist. Users still weigh the benefits and drawbacks of ChatGPT, with negative and neutral sentiments reflecting these worries. For interactive marketers, this presents an opportunity to differentiate through human interaction in customer-facing roles. Addressing the risks and ethical concerns of AI, marketers can better engage consumers and refine strategies for future chatbot deployments, ensuring AI enhances rather than detracts from the customer experience.

This paper makes a unique contribution to the existing literature by demonstrating how consumer perceptions, rather than mere acceptance, directly influence the strategic use of AI chatbots in interactive marketing. By focusing on perceptions, this study offers deeper insights from social media sentiment analysis that can refine marketing campaigns and enhance consumer engagement with emerging technologies in the digital landscape.

This paper aims to provide a full introduction, new classification, comparison and investigation of the challenges as well as applications of layerless 3D printing, which is one of the industry 4.0 pioneers.

Given the significance and novelty of uniform 3D printing, more than 250 publications were collected and reviewed in an unbiased and clear manner.

As a result, the majority of uniform parts printed in polymer form are known up to this point. In a novel division for better researchers’ comprehension, uniform printing systems were classified into three categories: oxygen inhibition (OI), liquid lubrication (LL) and photon penetration (PP), and each was thoroughly investigated. Furthermore, these three approaches were evaluated in terms of printing speed, precision and accuracy, manufacturing scale and cost.

The parameters of each approach were compared independently, and then a practical comparison was conducted among these three approaches. Finally, a variety of technologies, opportunities, challenges and advantages of each significant method, as well as a future outlook for layerless rapid prototyping, are presented.