This article offers an in-depth exploration of the significance of research philosophy in the realm of management studies. It conducts a critical review of research philosophy, encompassing ontological, epistemological, and axiological dimensions, shedding light on their implications for management research. Traditional ontological perspectives, including realism, idealism, and pragmatism, are analyzed along with their influence on the field. Moreover, contemporary ontological debates are discussed, emphasizing their relevance to management research. The article also delves into the role of epistemology in shaping research methodologies, examining positivism, interpretivism, and critical realism as prominent frameworks. Emerging epistemological trends are explored, highlighting their impact on management research. Throughout the review, novel insights are presented, providing a foundation for future theoretical and empirical development. Researchers are encouraged to embrace ethical pragmatism, dynamic reflexivity, and epistemological pluralism, which can lead to more comprehensive and adaptable theories. The article concludes by calling for continued exploration and innovation in research philosophy to shape the future of management research. It emphasizes the dynamic nature of research philosophy and its potential to drive positive change in the management field. [译]本文深入探讨了研究哲学在管理研究领域中的重要性。文章对研究哲学进行了批判性综述，涵盖了本体论、认识论和价值论三个维度，并揭示了它们对管理研究的启示。文章分析了包括实在论、唯心主义和实用主义在内的传统本体论观点及其对该领域的影响，并讨论了当代本体论辩论，强调了它们与管理研究的关联性。此外，文章还深入探讨了认识论在塑造研究方法论方面的作用，审视了实证主义、解释主义和批判实在论等突出框架。文章还探讨了新兴的认识论趋势，强调了它们对管理研究的影响。在综述过程中，文章提出了新颖的观点，为未来的理论和实证研究奠定了基础。文章鼓励研究者采纳伦理实用主义、动态反思性和认识论的多元主义，这有助于形成更全面和更具适应性的理论。文章最后呼吁继续探索和创新研究哲学，以塑造管理研究的未来。它强调了研究哲学的动态性质及其在管理领域推动积极变革的潜力。

Capital misallocation is a crucial factor that hinders the high-quality development of the capital market. Taking mergers and acquisitions (M&A) cases of Chinese listed companies from 2007 to 2019 as samples, this study finds that there is a mismatch between the target firm’s profit quality and the M&A premium. Moreover, based on the dual perspective of acquirer and target motivations, this study demonstrates that the target firm’s insufficient motivation to improve its information quality is the primary cause of a capital mismatch. Factors that can enhance the motivation of the target, such as improving financial services and facilitating labour flow, are the cure for capital misallocation. It is a crucial study to understand China’s capital misallocation and of great theoretical and practical significance to understand the combination of efficient markets and effective governments in emerging markets.

Blockchain mania occurs in response to the quick rise of Bitcoin price in markets with cryptocurrencies circulation. However, Chinese government policies regarding the development of blockchain are inconsistent--block access to the offerings and exchanges of cryptocurrencies such as Bitcoins, but raise the blockchain technology to a strategic position. We empirically investigate whether the government’s inconsistent policies will lead to blockchain mania and how it affects the blockchainrelated firms’ activities and performance. Our results are threefold: First, the supportive policy can fully offset the negative effect due to the national boycott of cryptocurrencies. Second, Nonspeculative firms experience a stronger and long-standing positive reaction, while the effect on Speculative firms is transient and vanishes after receiving a definitive warning ten days later. Third, the market reaction to government support appears more pronounced among firms having established blockchain technology alliances, or being endorsed officially.

This study examines the impact of climate-transition risks on trade credits for Chinese listed companies from 2007-2017. We develop an index of county-level climate-transition risks faced by Chinese-listed companies using data on local carbon emissions and carbon sequestration when moving towards net zero carbon emissions. Our two-way fixed effects OLS regression results find that local firms facing greater climate-transition risks significantly reduce their trade credit financing. Specifically, a one standard deviation of increase in Risk leads to a 0.73% decrease in trade credit. This reduction is more pronounced for state-owned enterprises (SOEs), firms operating in less competitive industries, and those headquartered in regions without carbon trading markets. Our main finding is robust to a battery of sensitivity tests including the use of alternative measures and lagged independent variables. Results on an Instrumental Variable (IV) method and a differences-in-difference (DiD) analysis suggest a causal relationship between climate-transition risks on trade credit. Further analyses reveal two plausible channels for the effect: increased financial distress risk and enhanced access to bank credit.

This paper examines the different responses of local and foreign investors to host government risk perceptions in the context of extreme events. We develop COVID-19 attention indices that capture attention related to COVID-19 according to China Central Television (CCTV) news program and further construct the government’s risk perception (GRPC) measure about COVID-19. Given the cross-listed AH-shares in China, we find that GRPC caused the extreme movement of stock markets by applying the multi-quantile VaR Granger causality approach. The results show that the reaction of cross-listed stocks in the A-share market is more inflexible than that in the H-share market during the outbreak period of the pandemic, foreign investors follow GRPC as a weather vane than local investors, and both types of investors are more concerned about the pessimism of GRPC. In the period of epidemic normalization, local and foreign investors prefer the optimistic attitude conveyed by the Chinese government.

This study examines how short-sale constraints affect investors’ information acquisition and thereby shape stock price efficiency. By exploiting two settings that relax short-sale constraints in the US and China, respectively, we find that the removal of short-sale constraints increases investors’ information acquisition in both markets, but the effect is more prompt in China. Investors acquire value-relevant information, especially bad news, and improve their short-selling decisions in both markets. Lastly, information acquisition induced by the removal of short-sale constraints improves price efficiency. Our evidence shows that a reduction in trading frictions promotes information acquisition and improves price efficiency.

This article applies natural language processing (NLP) to extract and quan- tify textual information to predict stock performance. Leveraging an exten- sive dataset of Chinese analyst reports and employing a customized BERT deep learning model for Chinese text, this study categorizes the sentiment of the reports as positive, neutral, or negative. The findings underscore the predictive capacity of this sentiment indicator for stock volatility, excess re- turns, and trading volume. Specifically, analyst reports with strong positive sentiment will increase excess return and intraday volatility, and vice versa, reports with strong negative sentiment also increase volatility and trading volume, but decrease future excess return. The magnitude of this effect is greater for positive sentiment reports than for negative sentiment reports. This article contributes to the empirical literature exploring sentiment anal- ysis and the response of the stock market to news on the Chinese stock market.

The asymmetric dissemination of information among financial firms in the financial market reflects their asymmetric response to the dissemination of both positive and negative information. However, it is worth studying whether this asymmetry will intensify or alleviate under different financial market conditions. Based on high-frequency minute stock price data of Chinese A-share listed financial firms from July 2020 to July 2023, we decompose the good and bad information, as well as the positive and negative volatility information in the return series. We utilize the quantile cross-spectral correlation method to construct an information overflow network at monthly intervals. We use the MVMQ-CAViaR model to estimate the value at risk (VaR) for various quantiles and build a risk spillover network that incorporates both positive and negative tail risk information, using the quantile dynamic SIM-COVAR-TENET model. We calculated the network dissemination efficiency of both good and bad information, including average speed, speed deviation, densest speed, and depth, to explore the changes in the asymmetry of good and bad information dissemination under different financial market conditions. We get that when the financial market is booming, financial firms’ asymmetric response to good and bad information will increase, and the firms will pay more attention to bad information. When the financial market declines, the asymmetric response of financial firms to good and bad information is diminished, and their sensitivity to both positive and negative information is heightened. In addition, the dissemination of bad information by firms in the five sub-financial industries across various markets exacerbates the asymmetric response of other financial firms to good and bad information. More importantly, the release of positive return information, negative volatility information, and highly negative tail risk information by the real estate financial firms all impact the asymmetric response of financial firms to good and bad information in a prosperous financial market. In recessionary financial markets, financial regulators can strategically release positive information to mitigate the decline in the financial market. Conversely, in a booming financial market, financial regulators should be cautious of the negative impact that bad information can have on financial firms, particularly in relation to the excessive growth of the real estate sector and the potential chain reaction of significant adverse events.

This study investigates the relationship between trade policy uncertainty (TPU) and market diversification with risk-averse firms. We build a model to demonstrate how a risk-averse firm diversifies risks stemming from escalating TPU through entering new markets whose trade policies are negatively correlated with ones in its already-entered markets. The positive effect of TPU on market diversification is moderated if the firm has lower risk hedging ability and/or is less risk-averse. Conditional on the TPU in the already-entered markets, there is an inverted-U relationship between TPU in the new market and the probability of entering it. Using a unique firm-product-level dataset on Chinese exporters, we find robust evidence supporting our theoretical predictions.

双循环发展格局的提出是我国应对当前经济形势变化、推动经济实现高质量发展的重要战略之举,这需要我国企业在以国内大循环为主体的新发展格局中探寻发展机遇。文章利用改进的市场潜力反映国内大市场的需求优势,进而基于中国工业企业数据库、中国工业企业专利数据库和中国地级及以上城市面板数据的匹配数据,探讨在新发展格局背景下,国内大市场优势对企业自主创新的影响效应。结果显示,国内大市场优势可通过降低企业平均成本、促进产业链技术外溢和提升中间品共享效应等渠道显著提升企业自主创新水平,该结论在使用城市地理信息数据和我国清代各州、府、县衙门数据进行内生性分析、考虑样本极端值及更换核心变量后的估计中依然成立。进一步分析发现,国际市场强化了国内大市场优势对企业创新的提升作用,现阶段国内、国际市场之间呈现出明显的互动趋势。国内、国际市场对企业创新的协同影响效应因企业所在行业类型、企业贸易类型、内外资类型及专利类型而具有较大差异。文章结论对于中国企业依托国内统一大市场优势构建自主可控的创新体系,进而提升企业创新水平和国际竞争力方面具有重要的现实意义。