Textual Defense under Contextual Pressure: R&D Accounting Choices, Regulatory Inquiries, and the Evolution of Footnote Obfuscation
DOI:
https://doi.org/10.54691/sd2n7q53Keywords:
Textual Obfuscation; Notes to Financial Statements; Regulatory Inquiry Letters; Natural Language Processing (NLP).Abstract
With the increasing stringency of financial statement presentation formats in China's capital market and the normalization of "penetrative" inquiry supervision, corporate earnings management is gradually shifting from numerical to covert textual manipulation. This paper explores how the management of STAR Market semiconductor enterprises, operating under high technical cognitive barriers, utilizes audited financial statement notes to implement text obfuscation strategies. Based on Eisenhardt's multi-case theory construction paradigm, this study selects four chip enterprises with distinctly polarized characteristics and uses NLP technology to conduct longitudinal tracking and cross-case comparisons of their R&D disclosure texts from 2019 to 2025. The findings reveal that deep financial pressure is more likely to trigger "syntactic obfuscation" than aggressive accounting policy choices, as pressured enterprises build implicit defenses by stretching syntactic complexity. Furthermore, rather than deliberately piling up professional terms, management expands text using template-like, redundant descriptions lacking incremental information. This creates a "watering-down effect" that reduces the concentration of core accounting terms under the guise of formal compliance, thereby increasing readers' cognitive load. Additionally, external inquiry supervision exerts a significant "asymmetric impact" on heterogeneous enterprises. While it prompts stable firms to clarify information, it inadvertently intensifies the defensive instincts of problem enterprises, driving them into a strategic loop where more regulation leads to more obfuscation. Ultimately, this study breaks through the limitations of traditional MD&A tone analysis and static word frequency statistics. It enriches management obfuscation theory within specific institutional contexts and provides a forward-looking early warning scale, enabling regulatory authorities to shift from single-content compliance reviews to the "dual monitoring of content and structure.
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