Innovation in Science and Technology Management

The Spillover Effect of Peers' Narrative Innovation Information DisclosureBased on Machine Learning and Textual Analysis

  • Chen Yixin ,
  • Zhang Ting ,
  • Ma Chen
Expand
  • (1. School of Economics and Management, Northwest University, Xi'an 710127, China; 2. School of Business, Nanjing University of Information Science and Technology, Nanjing 210044, China)

Received date: 2023-09-12

  Revised date: 2023-11-13

  Online published: 2024-08-09

Abstract

Adequate information acquisition is beneficial for firms to identify innovation projects, acquire innovation knowledge, and evaluate innovation value. A rich information environment is necessary for promoting corporate innovation performance. Previous studies have shown that, due to similar economic conditions and market environments, peer firms' information disclosure is an important channel for target firms to obtain decision-making information. Firms can conduct research to formulate financial decisions suitable for their own development according to the collected peers' annual report information. Therefore, peers' information disclosure has an economic spillover effect. Will the information disclosure of peer firms affect the target firm's innovation decisions by improving the information environment? The answer to this question can not only help advance the understanding of the spillover effects of information disclosure, but is also of great significance for building an information environment conducive to corporate innovation.#br#To this end, this paper studies whether peer firms' narrative innovation information disclosure affects target firms' innovation performance. It takes Chinese A-share listed companies from 2006 to 2022 as the sample, covering a total of 80 industries. The data on firms' patent applications and citation frequency in this study are from the CNRDS and WinGo databases, respectively. The annual report text of listed companies is from Juchao, an information disclosure website designated by the China Securities Regulatory Commission for listed companies, and the text corpus is preprocessed using WinGo data platform tools. Other data are from the CSMAR database. The study employs machine learning and textual analysis to construct the variables of narrative innovation information disclosure and finds that the increase in the level of peers' narrative innovation information disclosure significantly promotes the quantity and quality of target firms' innovation output. Specifically, for each increase in the level of peers' narrative innovation information disclosure by one standard deviation, the total number of patent applications by the target firm in the next period will increase by 0.197, and the number of patent citations will increase by 0.092, accounting for 8.9% and 11.65% of their respective averages.#br#This spillover effect is more pronounced when target firms' narrative innovation disclosure has more positive tones, higher levels of readability, and is more forward-looking. Mechanism tests show that expanding the access to innovation information of target firms and enhancing the governance effect on the opportunistic behavior of target firms' management are the underlying mechanisms. In further analysis, according to the matching between the level of innovation information and the real performance of corporate innovation, this paper finds that, compared with the disclosure style of “inconsistent words and deeds”, the peers' narrative innovation information disclosure style of “consistent words and deeds” can promote the innovation performance of target firms more significantly. Finally, peers' narrative innovation information disclosure significantly promotes the long-term operating performance of target firms by improving their innovation performance.#br#The main findings of this paper provide empirical evidence on the effectiveness of narrative innovation information disclosure from the perspective of peer firms, expanding the research perspective on the spillover effects of non-financial information disclosure. The following policy implications are presented. First, government should value the importance of innovation information disclosure and build an institutional environment that encourages listed companies to fully and truthfully disclose innovation information. The policy-making departments should further introduce relevant standards aimed at improving the readability and forward-looking nature of narrative innovation information in annual reports and avoiding low-quality information disclosure. Second, the listed companies should pay attention to the narrative innovation information in their peers' annual reports and improve their ability to distinguish innovation information. When dealing with peers' innovation information, the listed companies should make reference to peer firms' innovation practices, focus on the information that matches practices,and select innovation directions that meet the development needs of the industry. #br#

Cite this article

Chen Yixin , Zhang Ting , Ma Chen . The Spillover Effect of Peers' Narrative Innovation Information DisclosureBased on Machine Learning and Textual Analysis[J]. Science & Technology Progress and Policy, 2024 , 41(15) : 22 -32 . DOI: 10.6049/kjjbydc.2023090336

References

[1] AGHION P, JARAVEL X. Knowledge spillovers, innovation and growth [J].The Economic Journal,2015, 125(583): 533-573.
[2] KONG D, LIN C, WEI L, et al. Information accessibility and corporate innovation [J].Management Science,2022, 68(11): 7837-7860.
[3] FOUCAULT T, FRESARD L. Learning from peers' stock prices and corporate investment [J]. Journal of Financial Economics, 2014, 111(3):554-577.
[4] BEATTY A, LIAO S, YU J. The spillover effect of fraudulent financial reporting on peer firms' investments [J]. Journal of Accounting and Economics, 2013, 55 (2-3): 183-205.
[5] SEO H. Peer effects in corporate disclosure decisions[J]. Journal of Accounting and Economics, 2021, 71(1): 101364.
[6] BREUER M, HOMBACH K, MULLER M A. When you talk, I remain silent: spillover effects of peers' mandatory disclosures on firms' voluntary disclosures[J]. The Accounting Review, 2022, 97(4): 155-186.
[7] GLEASON C A, JENKINS N T, JOHNSON W B. The contagion effects of accounting restatements[J]. The Accounting Review, 2008, 83 (1): 83-110.
[8] DURNEV A,MANGEN C.The spillover effects of MD&A disclosures for real investment: the role of industry competition [J].Journal of Accounting and Economics, 2020, 70(1): 101-299.
[9] 李姝,杜亚光,张晓哲.同行MD&A语调对企业创新投资的溢出效应[J].中国工业经济,2021,38(3):137-155.
[10] LEUZ C, WYSOCKI P D. The economics of disclosure and financial reporting regulation: evidence and suggestions for future research [J]. Journal of Accounting Research, 2016,54(2): 525-622.
[11] MERKLEY K J. Narrative disclosure and earnings performance: evidence from R&D disclosures [J].The Accounting Review,2014, 89(2): 725-757.
[12] HUANG R, LI L, LU L Y, et al. The impact of the leahy-smith America invents act on firms' R&D disclosure [J].European Accounting Review, 2021, 30(5): 1067-1104.
[13] 李岩琼,姚颐.研发文本信息:真的多说无益吗——基于分析师预测的文本分析[J].会计研究,2020, 41(2):26-42.
[14] 巫岑,饶品贵,岳衡.注册制的溢出效应:基于股价同步性的研究[J].管理世界,2022, 38(12):177-202.
[15] BROWN J L, DRAKE K D. Network ties among low-tax firms [J]. The Accounting Review, 2014, 89(2): 483-510.
[16] CAI Y, DHALIWAL D S, KIM Y, et al. Board interlocks and the diffusion of disclosure policy [J]. Review of Accounting Studies, 2014, 19(3): 1086-1119.
[17] FRACASSI C. Corporate finance policies and social networks [J]. Management Science, 2017, 63(8): 2420-2438.
[18] LI V. Do false financial statements distort peer firms' decisions [J]. The Accounting Review, 2016, 91(1): 251-278.
[19] KIM J H, LJUNGQVIST A. Information externalities among listed firms[EB/OL]. (2021-12-06) [2023-08-01]. https://www.aeaweb.org/conference/2022/preliminary/paper/dtAKRQAR.
[20] SHROFF N, VERDI R S, YOST B P. When does the peer information environment matter [J]. Journal of Accounting and Economics, 2017, 64(2-3): 183-214.
[21] CHO H, MUSLU V. How do firms change investments based on MD&A disclosures of peer firms [J]. The Accounting Review, 2021, 96(2): 177-204.
[22] 韦琳,肖梦瑶.描述性创新信息能提高资本市场定价效率吗——基于股价同步性的分析[J].财经论丛,2022, 37(8):58-68.
[23] 刘贯春,张军,刘媛媛.宏观经济环境、风险感知与政策不确定性[J].世界经济,2022, 45(8):30-56.
[24] CHIRCOP J, COLLINS D W, HASS L H, et al. Accounting comparability and corporate innovative efficiency[J]. The Accounting Review, 2020, 95(4): 127-151.
[25] KRIEGER J L. Trials and terminations: learning from competitors' R&D failures [J]. Management Science, 2021, 67(9): 5525-5548.
[26] AGHION P, VAN REENEN J, ZINGALES L. Innovation and institutional ownership [J]. American Economic Review, 2013, 103(1): 277-304.
[27] CHEN C, KIM J, WEI M, et al. Linguistic information quality in customers' forward-looking disclosures and suppliers' investment decisions[J]. Contemporary Accounting Research, 2019, 36(3):1751-1783.
[28] BELLSTAM G, BHAGAT S, COOKSON J A. A text-based analysis of corporate innovation [J]. Management Science, 2021, 67(7): 4004-4031.
[29] HE J, HUANG J. Product market competition in a world of cross-ownership: evidence from institutional blockholdings[J]. Review of Financial Studies, 2017, 30 (8): 2674-2718.
[30] KIM Y, SU L, WANG Z, et al. The effect of trade secrets law on stock price synchronicity: evidence from the inevitable disclosure doctrine[J]. The Accounting Review, 2021, 96(1): 325-348.
Outlines

/