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With happy we are more productive: Evidence from total factor productivity 快乐的人更有生产力:来自全要素生产率的证据
IF 2.9 3区 管理学 Q2 BUSINESS, FINANCE Pub Date : 2025-12-31 DOI: 10.1016/j.jcae.2025.100536
Kun Su, Yixuan Fan, Jiahao Yan
This study examines the relationship between local happiness and firm total factor productivity at the firm level. We find that local happiness is positively associated with firms’ total factor productivity. Our mechanism analysis indicates that local happiness improves firms’ total factor productivity by attracting human and capital resources, promoting labor productivity, and stimulating innovation. We also find that the positive effect of local happiness on total factor productivity is more pronounced in firms with low human capital, firms located in regions with advanced digital infrastructure, and in non-state-owned firms. Our research offers recommendations for governments on how to prioritize people’s well-being and achieve economic objectives.
本研究在企业层面上考察了地方幸福感与企业全要素生产率之间的关系。研究发现,地方幸福感与企业全要素生产率呈正相关。我们的机制分析表明,地方幸福通过吸引人力和资本资源、提高劳动生产率和激励创新来提高企业全要素生产率。我们还发现,在人力资本水平较低的企业、位于数字基础设施发达地区的企业以及非国有企业中,地方幸福感对全要素生产率的正向影响更为显著。我们的研究为政府提供了如何优先考虑人民福祉和实现经济目标的建议。
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引用次数: 0
Selective optimism of analysts affiliated with mutual funds 共同基金分析师的选择性乐观
IF 2.9 3区 管理学 Q2 BUSINESS, FINANCE Pub Date : 2025-12-28 DOI: 10.1016/j.jcae.2025.100535
Bobae Choi , Doowon Lee , Kyoungwon Mo
This study examines whether conflicts of interest induced by group affiliation between asset management companies (AMCs) and brokerage firms compromise the independence of the affiliated analysts’ forecasts. That is, we investigate whether affiliated analysts treat stocks held by mutual funds in the same chaebol group differently from other stocks. Our main results indicate that analyst forecasts are selectively optimistic about the stocks that are of the greatest interest to affiliated AMCs. Specifically, analysts produce more accurate forecasts for stocks held by affiliated AMCs in general, while their recommendations and forecasts become more optimistic and less accurate as the amount of funding invested in such stocks increases within a fund held by affiliated fund managers. Selective optimism is also found when the asset management fees are high and when those stocks are newly added to the funds held by affiliated fund managers.
本研究探讨了资产管理公司(amc)与经纪公司之间的集团隶属关系所引发的利益冲突是否会损害关联分析师预测的独立性。也就是说,我们调查关联分析师是否对待同一财阀集团共同基金持有的股票与其他股票不同。我们的主要结果表明,分析师对关联资产管理公司最感兴趣的股票的预测是选择性乐观的。具体而言,分析师对关联资产管理公司所持股票的预测总体上更加准确,而随着关联基金经理持有的基金中投资于这些股票的资金数量的增加,他们的建议和预测会变得更加乐观,准确性也会降低。当资产管理费较高时,当这些股票是新加入到附属基金管理公司持有的基金中时,也会出现选择性乐观情绪。
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引用次数: 0
Enabler or barrier: Impact of patent protection on technology diffusion in China 中国专利保护对技术扩散的影响
IF 2.9 3区 管理学 Q2 BUSINESS, FINANCE Pub Date : 2025-12-28 DOI: 10.1016/j.jcae.2025.100534
Chao Liang , Bai Liu
Technology diffusion has facilitated long-term socio-economic progress. Therefore, most countries are striving to offer an environment conducive to innovation, including the establishment of appropriate intellectual property rights (IPR). However, the role of IPR in promoting technology diffusion remains controversial. Specifically, patents promote technology diffusion by protecting inventions and disclosing knowledge to the public, while triggering exclusive rights that may hinder technology diffusion. Based on signal theory, the existing research perspective is extended from “point-to-point” (inventor-imitator) to “point-to-side” (inventor-potential inventor) to investigate the technology diffusion regarding peer firms of defendant in patent litigation. The results show stronger technology diffusion in peer firms of defendant after patent litigation. Two mechanisms of litigation signals are demonstrated through grouping tests: legitimacy and competitiveness. This study contributes to resolving the contradictory literature on IPR and technology diffusion, while also complementing studies on IPR in developing countries.
技术扩散促进了长期的社会经济进步。因此,大多数国家正在努力提供有利于创新的环境,包括建立适当的知识产权(IPR)。然而,知识产权在促进技术扩散方面的作用仍然存在争议。具体而言,专利通过保护发明和向公众披露知识来促进技术扩散,同时引发可能阻碍技术扩散的专有权。基于信号理论,将现有研究视角从“点对点”(发明人-模仿者)扩展到“点对方”(发明人-潜在发明人),考察专利诉讼中被告同行企业的技术扩散。结果表明,专利诉讼后,被告同行企业的技术扩散增强。通过分组测试,论证了诉讼信号的两种机制:合法性和竞争性。本研究有助于解决知识产权与技术扩散的文献矛盾,同时也对发展中国家的知识产权研究起到补充作用。
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引用次数: 0
The impact of public enforcement on interest conflicts of affiliated analyst: evidence from regulatory reforms in China’s IPO market 公共执法对关联分析师利益冲突的影响:来自中国IPO市场监管改革的证据
IF 2.9 3区 管理学 Q2 BUSINESS, FINANCE Pub Date : 2025-12-18 DOI: 10.1016/j.jcae.2025.100532
Ting Xu , Weimin Gao , Tao Zhang
This study exploits the phased implementation of China’s registration-based IPO reform as a natural experiment to investigate the impact of regulatory enforcement on the conflicts of interest faced by underwriter-affiliated analysts. We find that the transition from an approval-based system to a registration-based system significantly mitigates the incentives for affiliated analysts to issue optimistically biased recommendations. This result remains robust across a battery of sensitivity analyses. Mechanism tests indicate that the reform operates by enhancing the objectivity and relevance of issuer disclosures, thereby increasing the detectability of biased recommendation. Cross-sectional tests show that this disciplining effect is more pronounced when analysts face greater pressure from buy-side clients and high investor sentiment. Furthermore, we document stronger market reactions to affiliated analysts’ recommendations post-reform, suggesting a restoration of investor trust. These findings offer novel insights into the role of public enforcement and disclosure quality in disciplining financial intermediaries within emerging capital markets.
本研究以中国IPO注册制改革的阶段性实施为自然实验,探讨监管执法对承销商关联分析师所面临的利益冲突的影响。我们发现,从基于批准的系统到基于注册的系统的过渡显著减轻了附属分析师发布乐观偏见建议的动机。这一结果在一系列敏感性分析中仍然是可靠的。机制测试表明,改革通过增强发行人披露的客观性和相关性来运作,从而增加了对有偏见推荐的可检测性。横断面测试显示,当分析师面临来自买方客户的更大压力和投资者情绪高涨时,这种约束效应更为明显。此外,我们还发现,改革后,市场对关联分析师的建议反应更强烈,这表明投资者信任得到了恢复。这些发现对公共执法和披露质量在约束新兴资本市场金融中介机构方面的作用提供了新颖的见解。
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引用次数: 0
The impact of judicial independence on the corporate debt financing cost − Empirical evidence from China 司法独立对企业债务融资成本的影响——来自中国的经验证据
IF 2.9 3区 管理学 Q2 BUSINESS, FINANCE Pub Date : 2025-12-15 DOI: 10.1016/j.jcae.2025.100533
Yufei Zhang , Yijun Yu , Yimeng Zhang , Tengjiao He
Debt financing is crucial for firms, particularly in developing countries like China, where the stock market is underdeveloped. Reducing the debt financing costs of enterprises through institutional design is crucial for enterprise development. This paper examines whether the Chinese judicial independence reform, initiated in 2014 and characterized by centralizing financial and personnel management from the city level to the provincial level, can reduce the firm’s debt financing cost. We employ data from A-share listed firms from 2011 to 2022 and find that the judicial independence reform significantly decreases the firm’s debt financing costs. The mechanisms include an improved financial environment, increased accounting conservatism, and decreased default risk. This effect is more pronounced for POEs, firms without political connections, and firms in better legal environments. Overall, our findings demonstrate that strengthening judicial independence is a vital institutional foundation for reducing corporate financing frictions and supporting firm growth.
债务融资对企业至关重要,尤其是在中国等股市不发达的发展中国家。通过制度设计降低企业债务融资成本对企业发展至关重要。本文考察了2014年启动的中国司法独立改革是否能够降低企业的债务融资成本,改革的特点是将财务和人事管理从市级集中到省级。我们采用a股上市公司2011 - 2022年的数据,发现司法独立改革显著降低了公司的债务融资成本。这些机制包括改善金融环境、增加会计稳健性和降低违约风险。这种影响在私募股权公司、没有政治关系的公司和法律环境较好的公司中更为明显。总体而言,我们的研究结果表明,加强司法独立是减少企业融资摩擦和支持企业成长的重要制度基础。
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引用次数: 0
Has scientific progress in accounting slowed down? 会计的科学进步是否放缓了?
IF 2.9 3区 管理学 Q2 BUSINESS, FINANCE Pub Date : 2025-12-08 DOI: 10.1016/j.jcae.2025.100531
Zaher Zantout , Asm Sohel Azad , Kimberly Gleason , Vicente Bicudo de Castro , Deborah Smith
We examine knowledge progression in academic accounting over the past three decades using novel measures of the scientific impact of new research. Among eight reputable accounting journals, we find that the relative scientific impact of new research published in The Accounting Review, Journal of Accounting Research, and Journal of Accounting and Economics declined significantly since the early 2000 s, and new research in the other reputable journals did not counterbalance these major declines. This phenomenon occurred despite the concurrent proliferation of accounting research over this time period. Evidently, the concerns expressed by many prolific researchers have materialized. There is a real need for greater and more urgent introspection by university administrators, doctoral program directors, and journal editors regarding the reasons the high pace of scientific progress achieved in the early part of our study period slowed down significantly by its end.
在过去的三十年中,我们使用新研究的科学影响的新措施来检查学术会计的知识进展。我们发现,在8家知名会计期刊中,《会计评论》、《会计研究期刊》和《会计与经济学期刊》上发表的新研究的相对科学影响自2000年代初以来显著下降,而其他知名期刊上发表的新研究并没有抵消这些重大下降。尽管会计研究在这一时期同时激增,但这种现象还是发生了。显然,许多多产的研究人员所表达的担忧已经成为现实。大学管理者、博士项目主任和期刊编辑确实需要更大、更迫切地反思,为什么在我们研究期的早期取得的高速科学进步在研究期结束时显著放缓。
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引用次数: 0
Peer MD&A risk disclosure and analysts’ earnings forecast accuracy: evidence from China 同业并购风险披露与分析师盈利预测准确性:来自中国的证据
IF 2.9 3区 管理学 Q2 BUSINESS, FINANCE Pub Date : 2025-12-01 DOI: 10.1016/j.jcae.2025.100530
Shuai Wang , Ziyao San , Ling Zhou , Minna Yu
In this study, we investigate whether and how risk disclosure in peer firms’ management discussion and analysis (MD&A) influences analyst earnings forecast accuracy. We find that peer MD&A risk disclosure significantly improves forecast accuracy, demonstrating a positive spillover effect. Moreover, the impact of peer MD&A risk disclosure on analysts’ forecast accuracy strengthens with the comparability and reliability of peer firms’ information, while weakens with the disclosure quality of the focal firm. Finally, peer MD&A risk disclosure also reduces stock price crash risk, providing further evidence that it improves information environment of the focal firm.
在本研究中,我们调查了同行公司管理层讨论和分析(MD&;A)中的风险披露是否以及如何影响分析师收益预测的准确性。研究发现,同业MD&;A风险披露显著提高了预测准确性,呈现出正向溢出效应。同行md&a风险披露对分析师预测准确性的影响随着同行信息的可比性和可靠性而增强,而随着焦点公司披露质量的提高而减弱。最后,同业md&a风险披露也降低了股价崩盘风险,进一步证明其改善了焦点公司的信息环境。
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引用次数: 0
Asset redeployability and fair value accounting 资产可重新部署性和公允价值会计
IF 2.9 3区 管理学 Q2 BUSINESS, FINANCE Pub Date : 2025-11-26 DOI: 10.1016/j.jcae.2025.100529
Akhilesh Bajaj, Lori N.K. Leonard, Li Sun
Accounting Standards Codification 820 (ASC 820), which addresses fair value measurement, mandates that companies categorize their fair value inputs, both assets and liabilities, into three distinct levels. Level 1 represents inputs derived from highly observable market prices, whereas Level 3 is based on data that is minimally observable. Examining a sample from 2008 to 2020, consisting of more than 30,000 firm-year observations, we identify a significant positive relation between asset redeployability and the use of Level 1 inputs, suggesting that firms with assets that can be easily repurposed tend to prefer these transparent valuation methods. On the other hand, we observe a significant negative relation between asset redeployability and the use of Level 3 inputs, implying that firms with flexible assets are less likely to depend on subjective or obscure valuation techniques. These results emphasize that businesses with more redeployable assets favor market-driven and objective inputs.
会计准则第820号(ASC第820号)解决了公允价值计量问题,要求公司将公允价值输入(包括资产和负债)分为三个不同的层次。第1级代表来自高度可观察的市场价格的输入,而第3级则基于最低限度可观察的数据。研究了2008年至2020年的样本,包括超过30,000个公司年的观察结果,我们发现资产可重新部署性与第一级投入的使用之间存在显著的正相关关系,这表明拥有易于重新利用资产的公司倾向于使用这些透明的估值方法。另一方面,我们观察到资产可重新部署性与第3级投入的使用之间存在显著的负相关关系,这意味着拥有灵活资产的公司不太可能依赖主观或模糊的估值技术。这些结果强调,拥有更多可重新部署资产的企业倾向于市场驱动和客观投入。
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引用次数: 0
Alternative data and corporate tax avoidance: Evidence from online sales disclosure in China 另类数据与企业避税:来自中国网络销售信息披露的证据
IF 2.9 3区 管理学 Q2 BUSINESS, FINANCE Pub Date : 2025-11-20 DOI: 10.1016/j.jcae.2025.100526
Shangqun Liu , Qian Li
We examine the impact of releasing alternative data on firm-level tax avoidance. By using the public release of firms’ online sales data in a prominent Chinese financial database as an exogenous shock, we find that corporate tax avoidance significantly decreases with the disclosure of such data. The transmission mechanism reveals that firms covered by online sales data exhibit less intertemporal income shifting and fewer abnormal related-party transactions. Further analyses show that the negative relation between online sales disclosure and corporate tax avoidance is more pronounced for firms with greater tax-planning capacity, higher market competition intensity, a larger proportion of online sales relative to revenue, and for non-state-owned enterprises. These insights provide novel avenues for identifying and mitigating managerial incentives and capabilities to engage in tax avoidance.
我们研究了发布替代数据对公司层面避税的影响。通过将中国知名金融数据库中企业在线销售数据的公开发布作为外生冲击,我们发现企业的避税行为随着这些数据的披露而显著减少。传导机制表明,在线销售数据覆盖的企业表现出较少的跨期收入转移和较少的异常关联方交易。进一步分析表明,对于税收筹划能力较强、市场竞争强度较高、网络销售占收入比重较大的企业,以及非国有企业,网络销售信息披露与企业避税之间的负相关关系更为明显。这些见解为识别和减轻管理动机和从事避税的能力提供了新的途径。
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引用次数: 0
Non-English textual analysis with large language models: Analysts’ use of MD&A sentiment in earnings forecasting 大型语言模型的非英语文本分析:分析师在收益预测中使用MD&A情绪
IF 2.9 3区 管理学 Q2 BUSINESS, FINANCE Pub Date : 2025-11-20 DOI: 10.1016/j.jcae.2025.100524
Jaehee Jang, Xiaoying Wu
After a decade of research on the information content of firms’ financial disclosures, do analysts actually use this information? This study investigates whether analysts incorporate information from the Management Discussion and Analysis (MD&A) sections of annual reports into their earnings forecasts. We also explore the effectiveness of Large Language Models (LLMs) for non-English text sentiment analysis, particularly where a traditional dictionary approach is impossible. We demonstrate that LLM-extracted sentiment is robust and mitigates concerns about look-ahead bias inherent in their training data. Analyzing MD&A sections from South Korean firms, we find that positive sentiment is negatively associated with analyst earnings forecast errors, indicating that analysts do incorporate it into their forecasts. However, negative sentiment is positively associated with forecast errors, suggesting incomplete analyst response. Leveraging LLMs for textual sentiment analysis, our findings suggest that analysts partially, but not fully, utilize the textual sentiment of MD&A sections in their earnings forecasts.
在对公司财务披露的信息内容进行了十年的研究之后,分析师们真的会使用这些信息吗?本研究调查了分析师是否将年度报告的管理层讨论和分析(MD&;A)部分的信息纳入其盈利预测。我们还探讨了大型语言模型(llm)在非英语文本情感分析中的有效性,特别是在传统词典方法无法实现的情况下。我们证明了llm提取的情绪是稳健的,并且减轻了对训练数据中固有的前瞻性偏见的担忧。分析韩国公司的MD&;A部分,我们发现积极情绪与分析师收益预测误差负相关,表明分析师确实将其纳入预测。然而,负面情绪与预测误差正相关,表明分析师的反应不完整。利用llm进行文本情感分析,我们的研究结果表明,分析师在其收益预测中部分(但不是全部)利用了MD&;A部分的文本情感。
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引用次数: 0
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Journal of Contemporary Accounting & Economics
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