In recent years, China's economy has grown rapidly, but most enterprises in China are facing the problem of shortage of leadership talents, which is more serious than other countries in the Asia-Pacific region. The leader is an important asset of the company, and improving the survival rate for new leaders is an important task for the human resources teams. By paying attention to the inconsistency between the power given to new leaders and the power they think is necessary, and its influence on the perceived trust and turnover intention, this study reveals the key aspects of new leaders' adaptation.

The current study examined the mechanism by analyzing three relationships: 1. The relationship between the incongruence of authority given and needed and new leaders' trust feelings. 2. The relationship between the congruence of authority given and needed and new leaders' trust feelings. 3. The relationship between trust feelings of new leaders and turnover intention. 4. The relationship between the conspiracy relation of authority given and needed, new leaders' turnover intention, and the mediating role of trust feelings.

It is gradually understood that Climate Change Risks (CCR) and the global initiative in terms of Green House Gas (GHG) and carbon emission control has been a common issue to the whole human society, and subsequently become systematic risk factor to business and economic activities. With rapid development of literature framework since recent years, it is regretful to find that controversy is broadly existing at many sectors of relevant empirical studies.

We aim to investigate shipping industry as an instance and examine the potential correlations between shipping corporates’ green initiatives and the metrics of their finance and operational performance. We consider shipping industry as an appropriate object for our empirical study because it is an industry with moderate exposures of CCR and GHG emission risks and under increasing pressure from governing bodies, investors and the public to achieve the unambiguous goals of GHG emission control in accordance with the Paris Agreement 2015 and the following strategies specifically set by the International Maritime Organization (IMO). It is observed that both governing bodies and investors are tightening their hands in order to encourage the shipping industry being green at sector of GHG and carbon emission. Meantime, it is also observed that a growing number of leading shipping corporates start announcing their green initiatives by manners of ordering new building vessels with green fuels or technologies. During developing green fuels and technologies, green patents may be worked out and registered. Since granted green patents can be easily found, it can overcome the disadvantages of green initiatives at empirical studies because green initiatives are usually announced in textual with difficulties to be measured and interpreted consistently.

As the importance of ESG issues continues to rise, the quality of ESG reporting has garnered significant attention among scholars. However, the current literature on ESG report quality measurement methods are either overly simplistic or excessively complex. This study presents a comprehensive, computationally feasible, and programmatic approach to evaluate the quality of ESG reports based on natural language processing techniques. I comprehensively analyze the quality of ESG reports for A-share and A+H- share companies from five aspects: Materiality, Quantitative, Balance, Consistency, and Readability, using web scraping, ESG report processing, and text analysis techniques. Through panel regression and Difference-in-Differences (DiD) research design, I find that dual-listing enhances the quality of ESG reports, providing further support for the Bonding hypothesis. Then, the results support that enhanced regulatory can effectively improve the quality of ESG reports. Finally, I discover that the improvement in ESG report quality reduces stock price synchronicity and increases the information content in stock prices.

Since 2018, the Hong Kong Stock Exchange and the Shanghai Stock Exchange have allowed biotechnology companies without revenue or profits to list, providing these companies with favorable financing conditions. Coinciding with the outbreak of the COVID-19 pandemic, this sector experienced a boom period. However, as the pandemic has subsided, these companies have been slow to generate revenue, diminishing patience among capital market participants and poor performance in the secondary market. Given the underperformance of these companies post-initial public offering (IPO) and inspired by the development trajectory of the biotechnology sector in U.S. stock markets, this study focuses on the characteristics of biotechnology companies.

Innovation capability is the most crucial factor influencing the IPO pricing and post-IPO performance of biotechnology companies. In this study, the number of R&D personnel (RDP), R&D expenditures, and pipeline quantity are used to measure innovation capability and further explore the relationships between innovation capability and first-day returns and between innovation capability and three-year abnormal returns post-IPO. The findings show that the number of RDP is negatively correlated with first-day returns, whereas the R&D expenditure is positively correlated with three-year abnormal returns post-IPO. These findings highlight the correlation between innovation capability and the IPO performance of biotechnology companies, revealing key considerations in pricing strategies for biotechnology firms that lack both revenue and profits.

Financial technology, colloquially known as Fintech, has become a cornerstone of modern finance, reshaping the way we interact with financial services and instruments. Its rapid evolution and integration into various sectors have not only streamlined traditional banking and investment processes but have also paved the way for innovative financial solutions that align with global sustainability goals. One such innovation in the realm of sustainable finance is the emergence of green bonds. These bonds, distinguished from traditional financial instruments by their commitment to financing projects with environmental benefits, have gained popularity as a tool for promoting sustainable development. However, despite their potential, the green bond market faces numerous challenges, particularly in issuance processes. This study aims to explore how Fintech could be a catalyst for overcoming these challenges, thereby facilitating the growth of the green bond market.

Green bonds represent a novel category within the fixed-income universe, designed specifically to fund projects that have positive environmental impacts, such as renewable energy, energy efficiency, sustainable water management, and clean transportation. Unlike conventional bonds, the proceeds from green bonds are earmarked for green projects, offering investors the opportunity to contribute to environmental sustainability. Despite their benefits and growing investor interest, the issuance of green bonds is fraught with challenges, including high issuance costs, lack of standardization, limited investor awareness, and concerns over 'greenwashing'-where the environmental benefits of a project are overstated.

University venture capital and private equity funds (UFs) have gained popularity in recent years as vehicles for advancing university research outcomes and fostering student entrepreneurship. However, questions remain about their alignment with university missions and their actual impact on academic start-ups within innovation ecosystems. Despite their increasing adoption, the establishment and management of UFs remain largely unexplored and under-researched (Croce et al., 2014).

This paper investigates the effectiveness of UFs within innovation ecosystems, employing a comprehensive global dataset spanning 285,667 investment deals involving 126,207 companies from 2000 to 2021. It explores UFs as a technology transfer policy intervention, focusing on their primary goal of propelling investees past the challenging “Valley of Death” to secure subsequent financing after receiving UF investment. Employing an instrumental variable to address endogeneity and benchmarking against Government Venture Capital Funds (GVCs), this research reveals that UFs offer a distinct signalling effect regarding the technology's content, surpassing the traditional roles of scarcity compensation and certification functions typically associated with GVCs.

Grounded on self-determination theory, this study examines whether and how leaders providing different types of help (i.e., autonomy-oriented help and dependency-oriented help) might influence subordinates' innovative performance. I predict that when leaders provide more autonomy-oriented help, subordinates perceive a higher level of autonomy, competence, and relatedness need satisfaction, all of which lead to higher innovative performance. In contrast, when leaders provide more dependency-oriented help, although subordinates still perceive a higher level of relatedness need satisfaction, their autonomy and competence need satisfaction suffer. Therefore, subordinates receiving more dependency-oriented help are not necessarily more innovative at work. In addition, I innovatively defined help delivery. It captures how help is provided to recipients and reflects the leader's interpersonal treatment during the help process. I posit that help delivery would moderate the relationships between leaders' helping behaviors and subordinates' basic need satisfaction. I used a multi-wave design to collect data from 236 subordinates at two time points with a one-month time lag in between. The results showed that leaders' autonomy-oriented help behavior was positively related to subordinates' autonomy needs, competence needs, and relatedness needs satisfaction (Hl); leaders' dependency-help behavior was not found to be related to subordinates' autonomy needs and competence needs satisfaction, but was positively related to relationship needs satisfaction. Competence needs satisfaction was positively related to innovative performance; however, neither autonomy needs satisfaction or relatedness needs satisfaction was related to innovative performance. I did not find support for any moderating effect of help delivery. However, exploratory analyses found that gender moderated the relationship between dependency-oriented help from a leader and autonomy need satisfaction, as well as the relationship between autonomy-oriented help from a leader and competence need satisfaction. Overall, female subordinates benefited more from the leader's autonomy-oriented help by experiencing higher competence need satisfaction. However, male subordinates are hurt even more by the leader's dependency-oriented help by experiencing lower autonomy need satisfaction. These results suggest further research and discussion on the types of leadership helping behaviors and innovative performance.