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This paper aims to investigate whether a powerful chief executive officer (CEO) impacts corporate risk taking in the distinctive institutional and market setting of China? Second, in case such relationship exists, the paper further aims to investigate whether the presence of large shareholders affects it, and finally, whether this effect of large shareholders varies in state-owned enterprises (SOEs) and non-state-owned enterprises (NSOEs).

The authors have used a sample of 1,502 Chinese firms listed on Shanghai and Shenzhen stock exchanges. Sample period is 2008-2013. Besides conventional fixed-effect regression, dynamic panel data estimation (generalized method of moments) is applied to address the potential endogeneity.

The results show that CEO power is negatively related with corporate risk taking in two risk proxies, i.e. total risk and idiosyncratic risk. Second, the presence of large shareholders significantly affects this relationship, but does not change the primary negative relationship between CEO power and corporate risk taking. Finally, the results show that the relationship between CEO power and corporate risk taking is different in SOEs and NSOEs. The findings of this paper contend the organizational and behavioral theory viewpoint that individual decisions are more extreme.

This study provides useful implication for policymakers and suggests that while evaluating CEO’s performance, institutional and market settings should be considered.

This study provides new insights on the impact of CEO power on corporate risk taking under the two distinctive features in a developing country, i.e. presence of large shareholders and state-owned enterprises.

This paper aims to address the gaps in current research by exploring how blockchain technology influences corporate green innovation.

This study investigates the potential of blockchain technology to stimulate the green innovation of companies using the difference-in-difference model with a panel data set of 1,803 Chinese listed companies from 2012 to 2019.

The application of blockchain significantly increases the number of green invention patents obtained by companies but has no significant impact on green utility model patents, that is, blockchain applications improve the quality rather than the quantity of green innovation. The role of blockchain in promoting green innovation is particularly pronounced in state-owned enterprises, non-heavily polluting industries and older companies. The use of blockchain technology helps reduce sales costs and boosts research and development investments, thereby encouraging green innovation. Additionally, a company’s internal control quality plays a moderating effect.

Firstly, previous research on blockchain has primarily centered on its relationship with supply chain management. This article empirically tests the impact of blockchain applications on the green innovation of companies using the DID method. Secondly, current studies mainly explore the influencing factors on green invention patents. This article examines the impact of blockchain applications on both green invention patents and green utility model patents and identifies distinct influencing effects. Finally, this article introduces the internal control mechanism of enterprises into the DID model and explores the potential impact of the quality of internal control on the relationship between blockchain and green innovation.

This study aims to investigate how the presence of female CEOs (FCEOs) affects investment efficiency in emerging economy, where female participation in business activities is limited.

This paper investigates the impact of CEO gender on investment efficiency by using investment efficiency measures proposed by Biddle et al. (2009), Chen et al. (2011) and Chen et al. (2013).

The findings suggest that FCEOs are associated with high level of investment efficiency. FCEOs improve corporate governance, streamline management and reduce inefficient investment decisions. In addition, FCEOs focus more on curbing underinvestment than overinvestment when making investment decisions. Furthermore, high financial reporting quality (FRQ) strengthens the effect of FCEOs on investment efficiency. The results suggest that FCEOs do not ameliorate the investment efficiency of state-owned enterprises.

This study enhances our understanding of the effects of FCEOs on corporate investment decisions in a male-dominated society. Efficient use of resources is vital from corporate and societal perspectives. Emerging economies are characterized by the unstable political and economic environment and low participation of females in decision-making. Hence, these economies require efficient utilization of resources. This study also sheds light on the role of FCEOs in curtailing underinvestment in emerging economies. It proves that FRQ is important in emerging economies because it strengthens the governance role of FCEOs.

This paper aims to explore whether crowdfunding creators can learn from previous experiences to have a better financing performance of future crowdfunding projects.

This paper uses Python to capture the data of 6,267 crowdfunding projects from one of the largest crowdfunding platforms in China (JingDong Crowdfunding) and the author use the negative binomial regression model and the OLS model in this empirical study.

The empirical results show that both the early-stage experience of creating a crowdfunding project and the early-stage experience of supporting projects of other crowdfunding creators can improve the financing performance of their newly launched projects. The social network of the previous projects and the “Blockbuster” projects initiated before can also make the newly initiated projects obtain better financing performance.

Current research on entrepreneurial experience shows that serial entrepreneurs have significantly different success rates than novice or inexperienced entrepreneurs but there is limited literature on the learning effect of crowdfunding creators. This study adds to the literature on entrepreneurial learning and provides suggestions to crowdfunding creators.

Promoting enterprises' green innovation is vital to realize the sustainable growth of cities and environmental protection and the rise of urban housing prices might affect the green innovation of enterprises to a certain extent. This study aims to discuss the aforementioned objective.

Based on the data of listed companies and urban housing prices of main cities in China from 2011 to 2019, this paper examines the impact of housing prices on enterprises' green innovation and analyzes the mechanism of rising housing prices on enterprises' green innovation.

The rise of urban housing prices can significantly promote the quality of green innovation of enterprises, but it has no significant impact on the quantity of green innovation. The heterogeneity test results show that the rising house prices have a more significant role in promoting the green innovation of non-state-owned enterprises, enterprises listed on the main board, enterprises in the central and western regions, and enterprises in non-first-tier cities. The mechanism research finds that the rise of urban housing prices has a financing relief effect and cost-pushing effect on the green innovation of enterprises.

Firstly, it thoroughly examines the influence of housing prices on corporate green innovation. Second, it explores the differential impact of housing prices on enterprises' green innovation based on variations among enterprises and regions, offering valuable insights for the government to formulate proper policy. Lastly, it elucidates the influencing mechanism of housing prices on enterprise green innovation from the perspectives of corporate financing and costs, providing empirical support for enterprises to appropriately perceive the opportunities and challenges posed by rising housing prices and actively promote green innovation.

The coronavirus disease (COVID-19) pandemic unprecedentedly shocks the market. Little is known about the impact of COVID-19 on brand engagement across country-of-origin (COO) and country-of-market (COM). To address the gap, this study examines how the spread of the COVID-19 affects consumer brand engagement on social media for global brands through the mechanisms of the COO and consumer animosity.

The authors collect consumer engagement activity data from Facebook for eight global smartphone brands and match it with the COVID-19 statistics. Ordinary least square (OLS) models are used to estimate the impact on global brands brought by the spread of the COVID-19.

The results show that consumer brand engagement decreases for all brands in a COM as the number of confirmed COVID-19 new cases increases in the COM. Consumer brand engagement decreases for a brand across all COM as the number of confirmed COVID-19 new cases increases in the brand’s COO. If a brand’s COO is imputed for the pandemic, its consumer brand engagement will receive additional negative impacts across all COM.

This study enriches the COO literature by showing how the spread of a pandemic affects consumer brand engagement via COO and discovers the moderating role of consumer animosity.

This paper aims to investigate the impact of sources of information on trading behavior by analyzing the influence of investor personality in Chinese futures market.

The authors adopted the Big Five personality framework and examined the survey results of individual investors (n = 333) in Chinese futures market. Personality traits of futures investors were measured by the NEO-Five Factor Inventory (Costa and McCrae, 1989) which is a shortened version of revised NEO personality inventory of the Big Five model (Costa and McCrae, 1992). Confirmatory factor analysis was conducted to assess the fitness of model. Structural equation modeling was used to evaluate the moderating influence of investor personality traits on the association between source of information and trading behavior.

The results confirm the previous findings that the sources of information used by investors as a foundation of their financial choices have a significant impact on trading frequency. The authors also provide an empirical evidence that investor personality traits moderate the relationship between sources of information and trading behavior. Financial advice from professionals is likely to increase trading frequency in investors with neuroticism and openness personality traits, and to reduce trading frequency in conscientious and extravert investors. Similarly, financial information acquired via word-of-mouth communication results in more trading in extravert and agreeable investors. Finally, information acquisition from specialized press causes more adjustment of conscientious investors’ portfolios. Theoretical explanations, implications and recommendations for future research are discussed.

This study combines information search and behavioral finance literature to demonstrate that the impact of various sources of market information on asset allocation decisions is influenced by investor personality. No previous study has been conducted yet to explain variations in the impact of sources of information on trading behavior by the Big Five personality traits and this paper seeks to fill this gap in Chinese futures market.

The purpose of this paper is to investigate the impact of the key sources of information, namely, financial advice, word-of-mouth communication and specialized press, on trading behavior of Chinese stock investors. The study also analyzed if the association between the key sources of information and trading behavior is influenced by investor personality.

The authors adopted the Big Five personality framework and examined the survey results of individual stock investors (n=541) in China. Personality traits of investors were measured by the NEO-Five Factor Inventory (Costa and McCrae, 1989). The authors performed probit regression analysis to evaluate the moderating influence of investor personality traits on the association between sources of information and stock trading behavior.

The results of the study confirm the previous findings that the key sources of information used by investors as a foundation of their financial choices have a significant influence on their trading behavior. The study also provides empirical evidence that investor personality traits moderate the relationship between the key sources of information and trading behavior. Financial advisors tend to increase the frequency of trading in investors with openness, extraversion, neuroticism and agreeableness personality traits, and tend to decrease the intensity of trading in investors with conscientiousness trait. On the other hand, financial information acquired from word-of-mouth communication is more likely to enhance trading frequency in extraverted and agreeable investors, and is more likely to reduce trading frequency in investors with openness, conscientiousness and neuroticism traits. Finally, the use of specialized press leads to more adjustment in portfolios of the investors with openness and conscientiousness traits than those with other personality traits. An alternative mediated model was not supported.

This research contributes to information search literature and behavioral finance literature and provides empirical evidence that the psychological characteristics of investors are significant predictors of the variations in information-trading link. The study offers new theoretical insights of investors’ behavior due to the characteristics of Chinese stock market which are unique from other stock markets in the world. To the authors’ best knowledge, no previous study has been conducted so far in Chinese stock market to explore variations with regards to the impact of the key sources of information on trading behavior by the Big Five investor personality and this paper seeks to fill this gap.

This study aims to examine the impact of board gender diversity on the level of corporate social responsibility (CSR) disclosure in the Arab Gulf states. Also, this research further aims to explore whether the impact of board gender diversity varies across the Arab Gulf states.

Ordinary least squares regression is used in this study to test the impact of board gender diversity on the level of CSR disclosure. Manual content analysis is used to evaluate the extent of CSR disclosure in annual reports, stand-alone CSR reports, sustainability reports and website sections to examine the relationship between the extent of CSR reporting and board gender diversity. This study uses the global reporting initiative (GRI) fourth version reporting guidelines to design and define the classifications of CSR reporting checklist.

The findings show that there is a statistically significant relationship between the number of female directors and the level of CSR disclosure. The results show that board gender diversity is positively associated with the level of CSR reporting in two countries, namely, Bahrain and Kuwait. Also, the findings reveal that there is a weak positive relationship between the presence of women on the boards and CSR reporting index in Oman, Qatar, Saudi Arabia and the UAE.

This study attempts to fill the gap in the literature, in that no similar study covers the Arab Gulf countries as one economic unit. The study is unique in that it focuses on oil-rich countries. This study is, to the best of this researcher’s knowledge, the first to explore the impact of women’s boards on the extent of CSR reporting, as well as investigating the possible variation of board gender diversity impact on the extent of CSR reporting in the Arabian Gulf region.

The purpose of this paper was first to find out whether the negative relationship between board size and future firm risk persists in China while contemplating all sorts of endogeneity. Second, the authors have investigated the role of large shareholders in influencing the managerial decisions concerning future firm risk via board size. Finally, the authors examined whether the moderating role of large shareholders is any different in state-owned enterprises (SOEs) and non-state-owned enterprises (NSOEs) in China.

The sample included all the A-listed firms listed on the Shanghai and the Shenzhen stock exchanges over a sample period from 2008 to 2013. The authors used fixed effects regression and the generalized method of moments (GMM) to test the three hypotheses.

The authors found that board size is negatively associated with future firm risk when measured as volatility in future stock prices and future cash flows. Second, large shareholders directly influence managerial decisions about future firm risk, irrespective of board size. Third, the moderating role of ownership concentration is insignificant in both SOEs and NSOEs.

To the best of the authors’ knowledge, this is the first study which has analyzed the role of large shareholders in the relationship between board size and future firm risk. This study provides valuable insights, particularly in the context of a developing country, into the role played by large shareholders in influencing managerial decisions concerning future firm risk.