This paper selects 346 green bonds issued in China from 2016 to 2021 as the sample, and the Propensity Score Matching (PSM) method is employed to confirm the existence of ‘green premium’ in the Chinese bond market. On this basis, data on internet media sentiment and print media sentiment are collected from ‘Sina Weibo’ and ‘China Important Newspaper Full Text Database’ by both Web Crawler Technology and Textual Analysis Methods to explore the impact and the mechanism of heterogeneous media sentiments on the ‘green premium’. The results show that both the optimism of internet media and print media can significantly promote the ‘green premium’ of green bonds, and the influence of print media sentiment on the ‘green premium’ is greater than that of internet media sentiment. In addition, the Bootstrap method verifies the mediating effect of print media sentiment in the influence of internet media sentiment on ‘green premium’, indicating that print media sentiment is an important transmission path. Moreover, the results of the heterogeneity test show that the more optimistic the media is, the more significant the ‘green premium’ effect is in the regions with higher institutional environments and financial subsidy policies. The ‘green premium’ of green bonds is most pronounced for higher levels of institutional environment and green bond preferential policies.

This paper studies the effect of top management team (TMT) network centrality on bank loan contracts. We show that firms with high TMT network centrality obtain bank loans with lower loan spreads, larger loan size, longer maturity, and fewer collateral requirements. From the mediating effect analysis, we find that TMT interlocking networks affect loan pricing by reducing agency costs, improving the quality of accounting information, expanding resource channels, and enhancing the credibility of companies. In addition to easing financial constraints, TMT network centrality is also beneficial to investment efficiency and innovation output of corporates, but it will decrease firm performance.

This study investigates the effect of institutional cross-ownership on stock price crash risk using a sample of Chinese listed companies during the period 2011–2021. We find that institutional cross-ownership can significantly reduce stock crash risk. After a series of robustness tests, the above findings still hold. In addition, we find that the relationship is more pronounced for non-state-owned listed companies and those in less-developed regions. The study finds that the quality of corporate disclosure and financing constraints have the mediating effect. This paper provides new empirical evidence on how to reduce stock crash risk in emerging financial markets.