Zhen Peng

In recent years, the concept of corporate social responsibility has gained more attention from investors, and green innovation has become a key factor in China’s economic growth. Despite this, regional disparities still remain, and the impact of corporate social responsibility on green innovation in local and surrounding areas is worth exploring. This article uses a Spatial Durbin Model to analyze the spatial spillover effect and mechanism of corporate social responsibility on green innovation of A-share listed companies in China from 2010 to 2020. The results show that corporate social responsibility behavior motivated by "tools" has a negative effect on local enterprises’ green innovation, while also having a negative spillover effect on surrounding areas, thus affecting the spatial pattern of green innovation. Further research suggests that fulfilling corporate social responsibility can attract investors, alleviate financing constraints, and change corporate resource investment strategies, thus promoting cross-regional resource flow and enhancing green innovation. The results of this study remain consistent when the matrix and variables are changed. This article provides new insights into corporate social responsibility and green innovation, and offers policy recommendations to improve green innovation in enterprises.

This study took residents’ health level as the research object, adopted the perspective of financial literacy, and used the 2014–2018 China Family Panel Studies data to analyze the impact of financial literacy on the residents’ health. The study found that financial literacy could have a significant positive impact on the residents’ health, with long-term effects. Furthermore, it promoted the residents’ health engagement and improved their health through the intermediary effects of income and health expenditure. In addition, the impact of financial literacy on the residents’ health was heterogeneous between urban and rural areas. Compared with the case for rural residents, the improvement of financial literacy significantly improved the health of the urban residents. The outcomes of this research were the exploration of means to improve residents’ health from a new economic perspective, promote residents’ health engagement, and improve residents’ health.

The timing of an initial public offering (IPO) is a complex dynamic game in the stock market. Based on a dynamic game model with the real option, this paper investigates the relationship between pricing constraint and the complexity of IPO timing in the stock market, and further discusses its mechanism. The model shows that the IPO pricing constraint reduced the exercise value of the real option of IPO timing, thus restricting the enterprise’s independent timing and promoting an earlier listing. The IPO price limit has a stronger effect on high-trait enterprises, such as technology enterprises. Lowering the upper limit of the pricing constraint increases the probability that enterprises are bound by this restriction during IPO. A high discount cost and stock-market volatility are also reasons for early listing. This paper suggests a theoretical explanation for the mechanism of the pricing constraint on IPO timing in the complex market environment, which is an extension of IPO timing theory, itself an interpretation of the IPO behavior of Chinese enterprises. These findings provide new insights in understanding the complexity of IPOs in relation to the Chinese stock market.

The stock price crash constitutes one part of the complexity in the stock market. We aim to verify the threshold effect of leveraged trading on the stock price crash risk from the perspective of feedback trading. We empirically demonstrate that leveraged trading has a threshold effect on the stock price crash risk on the basis of monthly data on leveraged trading in the Chinese stock market from January 2014 to December 2016. At a low leverage ratio, leveraged trading reduces the stock price crash risk; however, as the leverage ratio increases and exceeds a certain threshold, leveraged trading asymmetrically increases the stock price crash risk. These findings provide new insights in understanding the complexity in the Chinese stock market.

Leveraged trading exhibits the characteristics of “strong margin trading and weak short selling” in the Chinese stock market. On the basis of monthly data on leveraged trading in the Chinese stock market from January 2014 to December 2016, we aim to empirically examine the relationship between leveraged trading and investor sentiment, and analyze the characteristics of investor sentiment contained in the leverage ratio. The results show that (1) as the leverage ratio increases, the pattern of investor trading changes from the positive feedback trading of “chasing up and down” to the negative feedback trading of “selling high and buying low”; (2) leveraged trading has the typical characteristics of irrational sentiment; (3) inverse arbitrage strategies based on leverage ratios is effective in one month in the Chinese market. The findings in this paper provide empirical support for clarifying the influence mechanism between leveraged trading and investor sentiment, and can serve as a useful reference for reducing the impact of leveraged trading on volatility and maintaining the sustainability of the stock market.