Do ESG Controversies Disturb Analysts’ Forecast Consensus?

FANG Lan-lin, GUO Xue-meng

Journal of Beijing Jiaotong University(Social Sciences Edition) ›› 2026, Vol. 25 ›› Issue (1) : 141-156.

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Journal of Beijing Jiaotong University(Social Sciences Edition) ›› 2026, Vol. 25 ›› Issue (1) : 141-156.
Management Studies

Do ESG Controversies Disturb Analysts’ Forecast Consensus?

  • FANG Lan-lin, GUO Xue-meng
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Abstract

ESG controversies, as a significant manifestation of enterprises’ non-financial negative information, are increasingly affecting the expectations and decisions of market participants. Using a sample of Chinese A-share listed firms from 2017 to 2021, this study systematically examines the impact of ESG controversies on analysts’ forecast errors and the underlying mechanism. The empirical results show that ESG controversies are associated with significantly lower analyst forecast errors, suggesting that such events convey incremental information rather than merely increasing noise. Mechanism analyses reveal that this effect operates through the channels of heightened financing constraints and shortened analyst forecast horizons. Furthermore, the impact of ESG controversies is conditional on firms' information environments: the error-reducing effect is significantly more pronounced in firms with lower information disclosure quality, lower institutional site-visit frequency,and among observations at higher forecast-error quantiles, supporting the information vulnerability amplification hypothesis. Additional analyses show that ESG controversies attenuate analysts’ optimistic bias while exerting a negative effect on firms’ long-term market valuation. Therefore, firms should strengthen their risk management of ESG controversies and information disclosure capabilities; regulators should improve the governance and disclosure systems for ESG controversies; and investors should rationally identify ESG controversy risks.

Key words

ESG controversies / analyst forecast errors / information asymmetry / information disclosure quality / financing constraints

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FANG Lan-lin, GUO Xue-meng. Do ESG Controversies Disturb Analysts’ Forecast Consensus?[J]. Journal of Beijing Jiaotong University(Social Sciences Edition). 2026, 25(1): 141-156

References

1 谢诗蕾, 周波兰. ESG绩效、投资者关注与企业信息披露质量——基于年报文本挖掘的分析[J]. 中国注册会计师, 2022, (10): 54-61.
2 AMEL-ZADEH A, SERAFEIM G. Why and how investors use ESG information: Evidence from a global survey[J]. Financial Analysts Journal, 2018, 74(3): 87-103.
3 BERG F, K?LBEL J F, RIGOBON R. Aggregate confusion: The divergence of ESG ratings[J]. Review of Finance, 2022, 26(6): 1315-1344.
4 SCHIEMANN F, TIETMEYER R. ESG controversies, ESG disclosure and analyst forecast accuracy[J]. International Review of Financial Analysis, 2022, 84.
5 K?LBEL J F, BUSCH T, JANCSO L M. How media coverage of corporate social irresponsibility increases financial risk[J]. Strategic Management Journal, 2017, 38(11): 2266-2284.
6 DERRIEN F, KRüGER P, LANDIER A, YAO T. ESG news, future cash flows, and firm value[J]. Journal of Finance, 2025, 80(6): 3499-3554.
7 SERAFEIM G, YOON A. Which corporate ESG news does the market react to?[R]. Harvard Business School Working Paper, No. 21-115, 2021.
8 姜付秀,顾斌,马嘉. 证券分析师盈利预测压力的双刃剑效应:来自极端业绩的证据 [J]. 会计研究, 2025, (11): 63-76.
9 HILARY G, HSU C J. Analyst forecast consistency[J]. Journal of Finance, 2013, 68(1): 271-297.
10 AKERLOF G A. The market for “lemons”: Quality uncertainty and the market mechanism[J]. Quarterly Journal of Economics, 1970, 84(3): 488-500.
11 HEALY P M, PALEPU K G. Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature[J]. Journal of Accounting and Economics, 2001, 31(1-3): 405-440.
12 KAHNEMAN D, TVERSKY A. Prospect theory: An analysis of decision under risk[J]. Econometrica, 1979, 47(2): 263-291.
13 DHALIWAL D S, RADHAKRISHNAN S, TSANG A, et al. Nonfinancial disclosure and analyst forecast accuracy: International evidence on corporate social responsibility disclosure[J]. Accounting Review, 2012, 87(3): 723-759.
14 张慧. 企业ESG信息披露质量与股票市场表现——基于双重代理成本的视角[J]. 首都经济贸易大学学报, 2023, 25 (3): 73-88.
15 梁毕明, 徐晓东. 上市公司ESG表现与分析师盈余预测偏差——基于“信息效应”与“治理效应”的双重视角[J]. 财会通讯, 2024, (7): 53-57.
16 WONG J B, ZHANG Q. Stock market reactions to adverse ESG disclosure via media channels[J]. British Accounting Review, 2022, 54(3).
17 黄世忠. 披露可持续信息 推动高质量发展——兼论新质生产力视角下ESG披露议题的创新[J]. 财务研究, 2025, (5): 3-15.
18 王雪, 刘清源. 分析师关注提高了企业的ESG表现吗[J]. 现代经济探讨, 2024, (2): 51-66.
19 李增福, 冯柳华. 企业ESG表现与商业信用获取[J]. 财经研究, 2022, 48 (12): 151-165.
20 周泽将, 谷文菁, 伞子瑶. ESG评级分歧与分析师盈余预测准确性[J]. 中国软科学, 2023, (10): 164-176.
21 BRADLEY D, GOKKAYA S, LIU X. Before an analyst becomes an analyst: Does industry experience matter?[J]. Journal of Finance, 2017, 72(2): 751-792.
22 BRAUER M, WIERSEMA M. Analyzing analyst research: A review of past coverage and recommendations for future research[J]. Journal of Management, 2018, 44(1): 218-248.
23 DORFLEITNER G, KREUZER C, SPARRER C. ESG controversies and controversial ESG: about silent saints and small sinners[J]. Journal of Asset Management, 2020, 21: 1-16.
24 BARKEMEYER R, REVELLI C, DOUAUD A. Selection bias in ESG controversies as a risk for sustainable investors[J]. Journal of Cleaner Production, 2023, 382.
25 李志斌, 邵雨萌, 李宗泽, 等. ESG信息披露、媒体监督与企业融资约束[J]. 科学决策, 2022, (7): 1-26.
26 周开国, 应千伟, 陈晓娴. 媒体关注度、分析师关注度与盈余预测准确度[J]. 金融研究, 2014, (2): 139-152.
27 褚剑, 秦璇, 方军雄. 中国式融资融券制度安排与分析师盈利预测乐观偏差[J]. 管理世界, 2019, 35 (1): 151-166+228.
28 李志生, 李好, 马伟力, 等. 融资融券交易的信息治理效应[J]. 经济研究, 2017, 52 (11): 150-164.
29 薛爽, 徐沛勣. 分析师看穿商誉泡沫了吗:商誉对分析师盈余预测的影响及原因[J]. 会计研究, 2022, (2): 32-45.
30 方先明, 胡丁. 企业ESG表现与创新——来自A股上市公司的证据[J]. 经济研究, 2023, 58 (2): 91-106.
31 纪亚方, 丁庭选. 公司诉讼风险与分析师盈余预测行为研究[J]. 会计之友, 2022, (12): 108-115.
32 刘青青,魏琮.分析师行业研报对个股盈余预测的知识传递效应及路径研究[J].会计研究,2025,(11):45-62.
33 李哲,李心武,焦焰,等.“多言寡行”的数字化转型披露与分析师预测行为[J].会计研究,2024,(9):61-75.
34 刘建秋,尹广英,吴静桦.企业社会责任报告语调与分析师预测:信号还是迎合?[J].审计与经济研究,2022,37(3):62-72.
35 颜恩点,李上智,孙安其.产能过剩、信息成本与分析师盈余预测——来自A股上市公司的经验证据[J].中国软科学,2019,(10):145-157.
36 LEWBEL A. Using heteroscedasticity to identify and estimate mismeasured and endogenous regressor models[J]. Journal of Business & Economic Statistics, 2012, 30(1): 67-80.
37 陈作华, 张芳芳. 分析师盈利预测乐观偏差与高管减持寻租[J]. 经济管理, 2023, 45 (1): 169-190.
38 AOUADI A, MARSAT S. Do ESG controversies matter for firm value? Evidence from international data[J]. Journal of Business Ethics, 2018, 151(4): 1027-1047.
39 STIGLER G J. The economics of information[J]. Journal of Political Economy, 1961, 69(3): 213-225.
40 SPENCE A M. Job market signaling[J]. Quarterly Journal of Economics, 1973, 87(3): 355-374.
41 TETLOCK P C, SAAR-TSECHANSKY M, MACSKASSY S. More than words: Quantifying language to measure firms’ fundamentals[J]. The Journal of Finance, 2008, 63(3): 1437-1467.
42 KOENKER R, BASSETT G. Regression quantiles[J]. Econometrica, 1978, 46(1): 33-50.
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