EconPapers    
Economics at your fingertips  
 

Performance feedback and strategic R&D classification: a further study of R&D tax credit

Furong Guo, Niannian Wu and Lei Zhu

Applied Economics Letters, 2023, vol. 30, issue 18, 2560-2564

Abstract: Tax incentives are an important measure in most industrial countries to support firms R&D. However, R&D tax credit leads firms to engage in strategic R&D classification that classifies indirect costs as eligible R&D inputs in order to reduce tax liability. Based on the behavioural theory of the firm, we investigate the impact of performance feedback on firm’s strategic R&D classification. The results show that when performance falls below aspirations, the pressure to achieve aspirations forces firms to reduce strategic R&D classification; when performance is above aspirations, in order to reduce tax liabilities, firms are more willing to engage in strategic R&D classification due to the lack of performance pressure. Our study helps to understand horizontal differences in R&D investment in the context of tax incentives.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2022.2099795 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:apeclt:v:30:y:2023:i:18:p:2560-2564

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20

DOI: 10.1080/13504851.2022.2099795

Access Statistics for this article

Applied Economics Letters is currently edited by Anita Phillips

More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:apeclt:v:30:y:2023:i:18:p:2560-2564