From an industry perspective, this paper applies the quantile regression to investigate the impact of investor sentiment (IS) and China’s/U.S. geopolitical risks (GPR) on Chinese stock market volatility. Considering the structural break of the stock market for theperiod2003/02-2021/10, we find that the impact of geopolitical risk on stock market volatility is highly heterogeneous, and its significance mostly appears in the upper and lower tails. At the market level, China’s and U.S. GPR/IS and their interaction effects have no significant impact on China’s stock market volatility. However, there has an asymmetric dependence between China’s and U.S. GPR/IS and stock market volatility, and the dependence structure is changing. At the industry level, the current and lagging effects of China’s and U.S. GPR on industry stock market volatility are heterogeneous. Second, for most industries, China’s and U.S. GPR/IS can exacerbate industry stock market volatility both in bullish and bearish markets. In addition, China’s and U.S.GPR/IS and their interaction effects are heterogeneous and asymmetric, and the effects changes with the break point. Finally, compared with China’s GPR, the U.S. GPR has a larger impact on the industry stock market. The interactive effects of the U.S. GPR and IS can influence more industry stock market volatility.

随着股权分置改革的基本落地，上市公司股份权责日渐规范，围绕公司股份所出现的权益融资、股权质押等操作日渐频繁，因而股权质押的相关理论研究的意义也愈加重大。本文在借鉴前人研究的基础上，采用理论分析和实证研究相结合的方法，结合行为金融学中过度自信的相关理论，通过大股东增持后的业绩改善情况衡量过度自信，研究过度自信倾向对大股东股权质押决策的影响。本文研究发现，过度自信对于股权质押的选择、股权质押的频率和累计股权质押比率均有正向影响，而过度自信的程度越高，也会越倾向于股权质押，并且质押比率会越高。通过对股权质押样本的平仓风险进行研究，发现大股东的过度自信程度越高，股权质押中的平仓风险会越大。

国有股权对企业非财务绩效的影响一直是政策制定者和学者们探讨的热点，但这方面的研究还存在较多的争议。使用2013-2022年的中国A股上市企业数据和交叠双重差分估计方法，本文探讨了国有注资所带来的国有股权对企业ESG表现这一非财务绩效的影响。研究发现，国有注资能够提高企业的ESG表现，且主要是通过缓解企业面临的融资约束，提高企业的外部监督和内部治理水平等方式来实现的。异质性分析表明，对于注资后成为国有资本相对控股和面临较大市值压力的企业来说，国有注资对ESG表现的正向影响更大。本研究不仅为有关国有股权与非财务绩效之间关系的争论提供了新的经验证据，还为中国正在进行的混合所有制改革和“双碳目标”的推进提供了启示。

自由贸易协定建设是中国扩大对外开放,深化与世界互动的重要举措。文章选取2000—2018 年全球 134 个国家和地区的面板数据,基于马克思国际价值理论构建各国（地区）与中国的国际不平等交换程度指数,继而检验与中国签署自由贸易协定对国际不平等交换的影响效应。结果表明,与中国签署自由贸易协定能显著降低其与中国之间的国际不平等交换程度,即相比于没有与中国签署自由贸易协定的国家（地区）,与中国签署自由贸易协定的国家（地区）和中国之间的国际不平等交换程度减少了 23.07%,此效应主要体现在单位价值商品所包含劳动时间低于中国的国家（地区）上。究其机制,该效应源于与中国签署自由贸易协定能够显著提高该国（地区）与中国的贸易规模,减少该国（地区）与中国进出口商品种类的差异。进一步将上述效应与美国、日本、巴西、俄罗斯进行对比后发现,自由贸易协定对国际不平等交换程度的缓解效应并不具有普遍性,因国家（地区）而异,与中国签署自由贸易协定的缓解效应大于其他四个国家。文章的研究结论有效地反驳了“中国威胁论”“中国新殖民主义论”等观点。

保障粮食安全是实现经济发展、社会稳定、国家安全的重要基础。抓好粮食生产是保障粮食安全的关键,而良好的国家治理体系是保障粮食安全的前提。主流文献已就事前粮食生产与预防思考、事后冲击评估及政策反思等问题做了大量探讨,但较少关注国家应急治理应采取怎样的事中应对策略以保障粮食安全。为此,文章从思想史角度出发,借鉴粮食获取权理论和国家能力四分法分析中国传统荒政思想的要旨和价值。研究发现：（1）中国传统荒政中增强粮食安全的措施大体可划分为四个维度,即在时间维度上的粮食资源跨周期调节、在空间维度上的粮食资源跨地区调节、在直接权利维度上的贷种借牛和蠲免缓征等措施、在贸易权利维度上的减免商税和以工代赈等措施。（2）中国传统荒政思想已经意识到,落实这些主张需要政府拥有强制能力以维持灾区秩序、汲 取能力以提供荒政所需资源、递送能力以实现救荒资源投放、信息决策能力以提升治理质量。（3）中国传统荒政思想的理论价值在于为马克思主义中国化粮食安全理论打通了历史根脉,其实践意义在于从完善国家治理体系角度为中国夯实粮食安全保障提供了历史经验,其世界意义在于为其他发展中国家提供了荒政理念校准、策略体系对照与治理技术参考。

This paper proposes the two-component realized EGARCH model with dynamic jump intensity (hereafter REGARCH-C-DJI model) to model and forecast stock market volatility. The key feature of our REGARCH-C-DJI model is its ability to exploit the high-frequency information as well as to capture the long memory volatility and jump dynamics. An empirical application to Shanghai Stock Exchange Composite (SSEC) index data shows the presence of high persistence of volatility and dynamic jumps in China’s stock market. More importantly, the REGARCH-C-DJI model dominates the GARCH, EGARCH, REGARCH and REGARCH-C models in terms of out-of-sample forecast performance. Our findings highlight the importance of accommodating the realized volatility, volatility components and jump dynamics in forecasting stock market volatility.

We investigate the cross-sectional factors of Chinese corporate bond returns via the reducedrank regression analysis (RRA) proposed by He et al. (2022). We collect 37 individual bond characteristics in the extant literature using a new dataset and construct 40 factor portfolios. Empirically, we find that the four-factor models created by RRA outperform the traditional factor models, PCA, and PLS factor models, both in-sample and out-of-sample. Among the 40 factors, the bond market factor is the most substantial predictor of future bond returns. In contrast, other factors provide limited incremental information for the cross-sectional pricing. Therefore, it is necessary to find more new bond factors. We further find that stock market anomalies do not improve the explanatory power of the RRA factor models. In particular, stock market anomalies can only partially explain the systematic part of bond returns in the RRA framework and have almost no explanatory power for the idiosyncratic component.

We investigate the relationship between ESG rating divergence and stock returns from an investor’s perspective, to explore the impact of inconsistency among ESG rating agencies on the capital market. We construct ESG rating divergence data using ratings from three prominent ESG rating agencies in China. Our study is based on 54,679 company-quarter observations from 2018 to 2022, which covers 4,377 Chinese listed companies. Our findings demonstrate a significant negative impact of ESG rating divergence on stock returns, which we validate through a series of robustness tests and endogenous analyses. Notably, we find that investors’ expectations mediate the relationship between ESG rating divergence and stock returns. Further analyses show that only the divergence in social ratings have a significant inhibitory effect on stock returns. In addition, ESG rating divergence significantly impedes subsequent average ESG ratings. The adverse relationship between ESG rating divergence and stock returns is particularly pronounced in non-heavy pollution companies, non-state-owned companies, and companies with lower external attention.

This paper explores the relationship between ESG rating disagreement and the stock price crash risk. Using 2011-2020 Chinese A-share listed companies in Shanghai and Shenzhen as research sample, the empirical test results show that ESG rating disagreement significantly increases the stock price crash risk. The mechanism tests find that ESG rating disagreement influences the stock price crash risk by undermining corporate information transparency and increasing the level of investor sentiment. The findings of this paper reveal the potential negative economic consequences of ESG rating disagreement and enrich the research on the influencing factors of stock price crash risk, which contribute to the prevention of possible financial risk and the sustainable development.

Using the firm-level data of the Chinese industrial sector from 1998 to 2010, this study investigates the impact of the previous environmental protection experience of prefecture-level Communist Party secretaries on the COD regulation within the secretaries’ respective jurisdictions. The study finds that the secretaries’ previous environmental protection experience has reduced the COD discharge intensity. The duration of the previous environmental protection experience is selected as an instrumental variable and the endogeneity is further addressed; the research conclusion remains unchanged. However, this negative impact only lasts for two years and presents an unclear long-term impact. The negative effect on COD discharge intensity caused by the previous environmental protection experience is affected by the mandatory regulation pressure from the central government and the overall polluting density of the sub-sectors. Secretaries with previous environmental protection experience do not reduce the COD discharge intensity by using the punishment mechanism of increasing sewage charges. The secretaries, instead, encourage enterprises to use clean production technology, save water resources, and reduce the produced COD level. Also, the secretaries place an emphasis on the treatment of wastewater pollutants, thus reducing the COD discharge intensity. The conclusions of this study can provide decisionmaking reference for the selection and training of local officials, with the goal of environmental regulation.