The interactive information in blockchain architecture establishes an effective communication channel between users and enterprises, enabling them to communicate in a comprehensive and effective manner. Therefore, taking blockchain interactive information as the research object, this paper explores how the intervention of official information on investors affects the stock price movement and then makes predictions on stock prices according to the emotional tendency of interactive information. With the contextual information fusion, a sentiment computing model based on a convolutional neural network is established to extract and quantify the emotional features of blockchain interactive information. Combined with investors’ emotional features, the stock price prediction model based on long short-term memory is proposed. The experiment results show that the accuracy of the model has been improved by incorporating the intervened emotional features, thereby proving that information clarification can have a positive effect on the stock price.

This study examines the impact of capital market openness on corporate green total factor productivity (GTFP) using a quasi-natural experiment based on the Shanghai-Hong Kong and Shenzhen-Hong Kong Stock Connect policies. Employing a multi-period difference-in-differences (DID) approach, the findings reveal that capital market openness significantly enhances corporate GTFP through two primary mechanisms: strengthening firms’ green financial resources and technological innovation (green “hard strength”) and improving corporate environmental governance, green information disclosure, and managerial green expertise (green “soft strength”). Further heterogeneity analysis suggests that firms with greater institutional investor engagement, higher market competition, and non-state ownership exhibit stronger responses. These results provide policy insights into leveraging financial liberalization to drive corporate sustainability and green economic growth. This study highlights the role of financial markets in supporting global carbon neutrality and sustainable development goals.

This study uses supplier–customer relationship data from China’s A-share listed companies as a sample to explore the impact and mechanisms of common ownership along the supply chain on corporate green investment. The research hypothesizes that common ownership along the supply chain can have a positive impact on green investment, primarily through three key mechanisms: improving environmental information disclosure between upstream and downstream firms, alleviating financing constraints, and curbing managerial myopia. This study finds that common ownership along the supply chain significantly increases the scale of green investment, and the positive impact is stronger in regions with stronger environmental regulations, heavily polluting industries, companies with lower media attention, lower management shareholding ratios, and lower levels of digital transformation. This research not only enriches the study of factors influencing corporate green investment but also provides new empirical evidence and policy insights for promoting corporate green transformation and achieving “dual carbon” goals through optimizing supply chain governance structures.