JOURNAL ARTICLE

Should More Internally Generated Intangible Assets Be Recognized? A Commentary.

  • Published In: Abacus, 2023, v. 59, n. 1. P. 6 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Xie, Xuejing; Zhang, Weiguo 3 of 3

Abstract

This study analyzes whether financial statements should recognize more internally generated intangible assets with particular reference to China. This issue is significant because of the increasing importance of the 'new economy' and R&D investment, including in China. We present the current accounting requirements for intangible assets and illustrate that the failure to recognize internally generated intangible assets leads to a high ratio of unrecognized value to market capitalization, known as the asset light phenomenon among firms. We discuss and compare international and Chinese views supporting and opposing the recognition of more internally generated intangible assets. We identify and analyze the major issues in general, and in China particularly, that standard setters and their stakeholders have to consider if more internally generated intangible assets are recognized. We focus on areas of recognition, initial and subsequent measurement, and user reaction. We find that the most critical issues are the separability and measurability of internally generated intangible assets. Based on the issues identified, we discuss initiatives on non‐financial disclosure in relation to unrecognized intangible assets and firms' value creation. The study elucidates the consequences of current accounting standards on internally generated intangible assets and, by identifying the critical issues, contributes to the debate on whether it is best to adopt recognition of internally generated intangible assets or a disclosure‐only approach. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Abacus. 2023/03, Vol. 59, Issue 1, p6
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2023
  • ISSN:0001-3072
  • DOI:10.1111/abac.12276
  • Accession Number:162569520
  • Copyright Statement:Copyright of Abacus is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.