Using the data of Chinese listed firms from 2003-2020, this study applies a System GMM estimation approach to document that high local government ecological concerns increase a firm’s stock price crash risk. This finding remains consistent after addressing endogeneity issues and undergoing robustness checks. This study also reveals that the implementation of the new environmental protection law in 2015 mitigates the relationship between local government ecological concerns and stock price crash risk. Further analyses indicate that stricter environmental regulation and high subsidies, as well as enhanced corporate social responsibility and governance, can effectively alleviate the adverse effect of local government ecological concerns on stock price crash risk. In addition, we note that the influence of local government ecological concerns on stock price crash risk is more significant in the eastern region, heavily polluting industries, and non-SOEs. Lastly, the research identifies two potential channels through which local government ecological concerns can impact stock price crash risk by reducing the quality of information disclosure and intensifying investor disagreement.

The study finds that analyst skill plays a key factor to explain the complicated and chaotic relation between analyst coverage and external governance. We divide analysts into multiple skill groups by GMM (Gaussian mixture model) method, and explore the effect of the coverage by skilled analysts on earnings management in Chinese listed companies. The results indicate that only the coverage of skilled analysts shows a significant negative correlation with earnings management. Heterogeneity analysis reveals that the negative relationship between the coverage of skilled analysts and earnings management is primarily observed in non-state-owned companies, those with weaker external audits, and smaller-scale firms. The conclusion remains robust after considering endogeneity issues. The findings of this study suggest that incorporating analyst skill contributes to a better understanding of the mechanisms through which analysts influence corporate governance. It also highlights that the role of analysts in corporate governance cannot be generalized.

The increasing awareness and adoption of technology, particularly artificial intelligence, are reshaping industries and daily life. This study explores how adopting artificial intelligence (AoAI) influences stock price crash risk for Chinese A-share listed companies between 2010 and 2020. The primary findings emphasize AoAI's significant role in reducing stock price crash likelihood, enhancing financial market performance, and mitigating manager opportunism. Further, the research identifies varied effects of AoAI on crash risk among different enterprise types, notably benefiting non-state-owned and non-foreign businesses. Additionally, the study finding supports the notion that financial analysts enhance transparency, reducing the risk of stock price crashes. These results underscore the Chinese government's role in shaping the digital economy. Overall, the study's findings remain consistent and robust across statistical methods like 2SLS, PSM, SysGMM, and instrumental variable analysis.

This paper examines the effects of digital finance and corporate stock price crash risk, and the underlying mechanisms, using panel data from Chinese A-share listed companies between 2012 and 2021. Specifically, we focus on whether digital transformation and environmental, social, and governance (ESG) performance are intermediary channels through which digital finance mitigates corporate stock price crash risk. By employing panel regression and mediation effect models, we demonstrate that digital finance significantly reduces corporate stock price crash risk. This conclusion remains robust after a series of robustness tests, including the replacement of core explanatory variables, lagging digital finance by one period, using alternative dependent variables, applying the instrumental variables method, and system GMM estimation. More importantly, we find that digital finance curbs stock price crash risk by enhancing digital transformation and ESG performance. In addition, we reveal that digital finance has heterogeneous effects on corporate stock price crash risk. The inhibitory effect of digital finance on stock price crash risk is more pronounced in the central and western regions of China and for companies with lower internal control levels, higher information transparency, and higher financing constraints.

This study investigates the nexus between investor protection and dividend policy for 517 listed non-financial firms operating in Asian countries between the 2008- 2017 period. The dynamic panel data model (System-GMM) reveals that stronger investor protection is associated with higher dividend payouts, and firms increase dividends, specifically in response to the rise of the extent of disclosure and director liability and also ease of shareholder suits. Besides, the results highlight that firms pay out fewer dividends in cases of growth opportunity particularly in environments with stronger investor protection, more developed financial market, and common-law system. Results are robust when alternative specifications are implemented.

A decline in the relative price of imported goods compared to that of domestically produced goods may have different effects on domestic consumption. Such effects may not be accurately detected and measured in a classical permanent-income model without considering consumption habit formation as pointed out by Nishiyama (2005). To resolve this problem, this paper employs an extended permanent-income model which encompasses consumption habit formation. Both cointegration analysis and GMM are used to estimate the (modified) intratemporal elasticities of substitution (AES) between imports and domestic consumption and the parameters of habit formation as well as the (modified) intertemporal elasticities of substitution (IES). We find that import and domestic consumptions are complements in China, but substitutes in Japan and Korea. Different per capita incomes and consumer behaviors between China and the other two countries are two possible reasons for different relationships between import and domestic consumptions. The research findings have important implications on policies such as exchange rate adjustments in China. （2011中国金融国际年会博士论文征文）

本文利用2000-2009年我国29个省市的面板数据，研究了我国股市的财富效应。通过实证分析，我们得到以下结论：从整体来看，我国存在股市的财富效应，沪深A股总市值上涨1%带来人均消费0.0114%的增长，但当期消费水平主要由前期消费水平和当期收入决定；从结构来看，我国东部和中部大部分省份存在股市的财富效应，而西部只有少数省份存在股市的财富效应。因此，我们要防止股市大起大落，降低股市对经济的冲击。

本文从内生视角出发，使用动态GMM模型分析我国2004——2009年52家商业银行董事会构成，结果发现：（1）我国商业银行董事会结构具有“内生构成”属性，董事会职能运作的成本与收益是其主要决定因素；（2）银行业特有的外部管制有限的提升了董事会治理水平，而政府干预会扭曲董事会结构的最优选择；（3）董事会下设专门委员会的运用节约了大规模董事会的运行成本，同时能够弥补董事会独立性低的缺陷，成为现实约束下中国商业银行的次优选择。因此，在控制权重新配置、创新监管模式的基础上引导商业银行自主选择高效率的董事会是未来银行董事会治理改革的重点。

Numerous studies have focused on the theoretical and empirical aspects of corporate capital structure since the 1960s. As a new branch of capital structure, however, debt maturity structure has not yet received as much attention as the debt-equity choice. We use the existing theories of corporate debt maturity to investigate the potential determinants of debt maturity of the Chinese listed firms. In addition to the traditional estimation methods, the system-GMM technique is used to explicitly control for the endogeneity problem. We find that the size of the firm, asset maturity and liquidity have significant effects in extending the maturity of debt employed by Chinese companies. The amount of collateralized assets and growth opportunities also tend to be important. However, proxies for a firm’s quality and effective tax rate apparently report mixed or unexpected results. Debt market and equity market conditions are also examined in relation to corporate loan maturity. The system-GMM results show that market factors seem to influence debt maturity decisions. Finally, corporate equity ownership structure has also been found to have some impact on debt maturity mix.

本文应用线性多因子模型研究了我国权证的定价能力。通过实证研究发现，权证是非 冗余的，对风险资产的收益率有解释能力，而且对小公司和价值股的解释能力高于大公司和成长 股。文中还利用随机贴现因子的思想，用GMM 方法做了稳健性检验。两种方法从不同角度得到同 样的结论，权证价格中包含定价因素，金融衍生产品的发展能提高市场的定价效率，使市场趋于 完全。