In the Chinese context, the term “overseas” refers to countries and regions outside the sovereignty and jurisdiction of China. Overseas listing is an important strategy for firms to integrate into global capital markets and enhance their corporate investment efficiency. Using data from 600 Chinese companies listed exclusively overseas and 860 domestically listed firms for the period 2009–2023, this study analyzes the impact of overseas listing on corporate investment efficiency using empirical research methods, underlying mediating mechanisms, and the moderating role of economic policy uncertainty. The findings show that overseas listing improves Chinese firms’ investment efficiency. Compared to listing on the United States securities market (Nshares), listing on the Hong Kong securities market, (H-shares) has a pronounced effect on enhancing investment efficiency. Enhanced information disclosure quality improves the investment efficiency of Chinese enterprises listed overseas. Economic policyuncertainty can strengthen the positive impact of overseas listing on corporate investment efficiency. This study shows that overseas listing improves investment efficiency of firms in developing countries and offers new insights into advancing micro-level opening-up in these countries.

Purpose: High investment efficiency is a key dimension of high-quality enterprise development. As critical nodes embedded in supply chain networks, corporate investment behaviors are profoundly shaped by the structural characteristics of their supply chains. Concentrated supply chain configuration, as one of the core structural features, has not yet been systematically examined in terms of its impact on corporate investment efficiency and the underlying mechanisms, leaving an important research gap. Design/methodology/approach: Based on a sample of China’s A-share listed enterprises from 2007 to 2023, this study empirically examines the effect of concentrated supply chain configuration on corporate investment efficiency. Findings: First, concentrated supply chain configuration exerts a significant inhibitory effect on corporate investment efficiency, a conclusion that remains robust after a series of tests. Second, mechanism tests indicate that this influence operates primarily through three channels: exacerbating financing constraints, crowding out working capital, and deteriorating the information environment. Third, heterogeneity analysis shows that both supplier concentration and customer concentration inhibit investment efficiency, with the latter having a slightly stronger negative effect. The adverse impact is more pronounced in over-investing enterprises, non-state-owned enterprises, smaller firms, and those in growth or decline stages. Furthermore, regional factor market development, external market power, and internal control quality are found to effectively mitigate the negative effect of concentrated supply chain configuration on corporate investment efficiency. Originality: This study extends the research on determinants of corporate investment efficiency from a supply chain structure perspective, providing new theoretical insights and empirical evidence for understanding corporate investment behavior in China.

Against the backdrop of potential irrational trading behaviours in financial markets, this study investigates the V-shaped disposition effect in the selling activities of portfolios managed by securities investment funds in China. Utilising quarterly holdings data (2018–2024) of Chinese securities investment funds, alongside daily turnover rates and closing prices of their fund-heavy stocks listed in China's A-share market, a Fama-MacBeth regression analysis is conducted. The empirical results provide robust evidence of a significant V-shaped disposition effect in these fund investments, primarily driven by speculative trading. Moreover, this effect significantly and positively predicts future stock returns of Chinese A-shares. This study enhances understanding of institutional investors' trading behaviours—particularly mutual funds in China—and their decision-making processes in financial markets.

随着监管部门与社会各界对于企业的ESG表现日益关注，本文考察拟上市企业（特别是IPO预期成功率较低的企业）是否有动机通过强化其ESG表现，从而增强其IPO成功概率。本文基于大语言模型对拟上市公司招股说明书所呈现的ESG绩效进行量化评估，并系统考察企业IPO预期成功率、招股说明书ESG绩效与IPO最终成功率之间的互动关系。研究发现：（1）企业IPO预期成功率越低，该企业越可能在其招股说明书中展现出较佳的ESG绩效；（2）企业的ESG绩效强化行为显著提升了其IPO通过概率。这一效应在证券监管部门更为关注企业社会责任时以及在高污染行业中更为显著。进一步分析表明，对于IPO预期成功率较低的企业，其招股说明书中的ESG表现无法有效预测其上市后的ESG绩效，这表明监管部门仍需警惕此类企业“漂绿”上市的风险。本文研究结论对于证券监管部门和投资者都具有重要的决策参考价值。

Using a novel and dynamic measure of fund-level herding that captures the tendency of a fund manager to imitate the trading decisions of the institutional crowd based on a sample of 3490 mutual funds in China for 21 years between 2003 and 2023, we find that funds with higher herding tendencies face significantly elevated delisting risks. Additionally, herding behavior is associated with shorter fund lifespans, smaller asset bases, and higher portfolio manager turnover rates. These results remain robust after employing a battery of methods to address endogeneity concerns. Collectively, our study demonstrates that herding substantially amplifies funds’ running risks.

在全球可持续投资理念日益强化的背景下，ESG披露逐步成为影响资本配置的重要因素。私募股权机构作为非公开市场的重要中介，其ESG披露行为是否会影响募资表现？本文以2010-2023年中国资产管理规模领先的961家私募股权机构为研究样本，研究其ESG披露对募资表现的影响及作用机制。研究发现，私募股权机构披露ESG报告可显著提升募资成功率与募资规模，该作用主要通过“声誉补偿”与“资本适配”机制实现。此外，开展全球化业务与公众环境关注度较高地区的机构，ESG披露的募资促进效应更为显著。进一步分析表明，正式的ESG报告披露相比于非正式ESG信息提及对募资表现推动作用更强。同时，项目层面结果表明，ESG披露不仅提升募资能力，也对应着更优的投资项目退出表现。本研究为评估ESG披露在非公开市场的有效性提供了经验证据，并为私募股权行业ESG规范化与绿色金融发展提供参考。

In the realm of financial stability, accurate credit default discrimination models are crucial for policy-making and risk management. This paper introduces a robust model that enhances credit default discrimination through a sophisticated integration of a filter-wrapper feature selection strategy, instance selection, and an updated version of majority voting. We present a novel approach that combines individual and ensemble classifiers, rigorously tested on datasets from Chinese listed companies and the German credit market. The results highlight significant improvements over traditional models, offering policymakers and financial institutions a more reliable tool for assessing credit risks. The paper not only demonstrates the effectiveness of our model through extensive comparisons but also discusses its implications for regulatory practices and the potential for adoption in broader financial applications.

Traditional decision tree models, which rely exclusively on numerical variables, often encounter difficulties in handling high-dimensional data and fail to effectively incorporate textual information. To address these limitations, we propose the Integrated Multivariate Segmentation Tree (IMST), a comprehensive framework designed to enhance credit evaluation for small and medium-sized enterprises (SMEs) by integrating financial data with textual sources. The methodology comprises three core stages: (1) transforming textual data into numerical matrices through matrix factorization; (2) selecting salient financial features using Lasso regression; and (3) constructing a multivariate segmentation tree based on the Gini index or Entropy, with weakest-link pruning applied to regulate model complexity. Experimental results derived from a dataset of 1,428 Chinese SMEs demonstrate that IMST achieves an accuracy of 88.9%, surpassing baseline decision trees (87.4%) as well as conventional models such as logistic regression and support vector machines (SVM). Furthermore, the proposed model exhibits superior interpretability and computational efficiency, featuring a more streamlined architecture and enhanced risk detection capabilities.

人口老龄化是我国今后相当长一个时期的基本国情，作为《宪法》第四十五条所规定的“基本公共服务”内涵的应有延伸，人居环境的适老化改造事关老年人“老有所居、居有所安”的基本民生保障，也是实现老年人居家养老与医疗照护的重要基础。但我国《民法典》关于建筑物区分所有权治理秩序的规定尚不翔实，实践中既有建筑共有部分的适老化改造囿于决策程序僵局、改造费用规范性指引不足、不利影响补偿机制缺失等多重困境，无法适恰既有区分所有建筑物共有部分的适老化改造需求。原居养老与居家安全危机之间的对立矛盾亟需整合共有规则要素，通过统筹老旧小区的专有与共有治理效能、功能提升与空间协调、利用现状与未来需求三对交互关系，形成体系化的治理机制设计，以积极应对人口老龄化国家战略，破除老年人群体居住保障的低水平均衡陷阱。

This study employs a Triple-Difference (Triple-DID) model, utilizing balanced panel data at the district level from Beijing, Shanghai, Shenzhen, and Hangzhou between 2018 and 2024, to critically evaluate the effectiveness of the Multi-School Zoning Policy (MSZP) in suppressing the capitalization of educational resources into housing prices and promoting educational equity. The research explicitly accounts for spatial and institutional heterogeneity as well as household strategic behavior.The results indicate that: (1) MSZP significantly reduced the average housing price premium associated with elite school districts by 15.2%, with the strongest effect observed in Beijing and the weakest in Hangzhou; (2) The policy's effectiveness diminishes as the spatial concentration of high-quality educational resources increases, highlighting persistent structural inequalities; (3) In areas characterized by resource monopolization and strong institutional inertia, the policy's suppressive effect on educational capitalization and its gains in educational equity are both constrained.The findings suggest that MSZP alone cannot fully overcome the "spatial lock-in" effect of high-quality educational resources. Achieving lasting equity requires complementary deeper institutional innovations, such as robust cross-district teacher rotation, transparent resource allocation mechanisms, and adaptive zoning algorithms. This research offers quantitative evidence for optimizing policy and institutional tools in the pursuit of comprehensive urban education reform.