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R&D expenditure and managerial ownership: evidence from firms of high-vs-low R&D intensity.

Authors :
Hassanein, Ahmed
Al-Khasawneh, Jamal Ali
Elzahar, Hany
Source :
Journal of Financial Reporting & Accounting (Emerald Group Publishing Limited); 2023, Vol. 21 Issue 3, p654-672, 19p
Publication Year :
2023

Abstract

Purpose: Corporate managers spend on research and development (R&D) for reasons of growth and survival. However, they may be less willing to invest in R&D because of its long-term horizon, high failure rate and uncertain outcomes. This study aims to explore the extent to which managerial ownership influences R&D expenditure decisions. Design/methodology/approach: Apart from the linear regression models, this study uses a semi-parametric quantile regression analysis for a sample of German non-financial firms throughout 2009–2018. Findings: This study finds a nonmonotonic sensitivity of R&D spending to the level of managerial ownership over various quantiles of R&D distribution. That is, managerial ownership increases the expenditure on R&D at low R&D intensity firms. However, it decreases the expenditure on R&D at high R&D intensity firms. These results suggest the presence of a maximum level of R&D expenditure, after which owner-managers would be unwilling to spend on R&D. Practical implications: The results confirm the importance of corporate ownership structure for firm R&D and innovation activities. It provides an implication for corporate policymakers to reform the corporate ownership structures to encourage corporate managers and owners to invest in R&D projects. Originality/value: This study offers two distinct contributions study. First, it provides the first German shred of evidence on the nonlinear relationship between managerial ownership and R&D expenditure decisions by distinguishing between high and low R&D intensity firms. Second, unlike prior research, it uses a semi-parametric quantile regression analysis. This method is more efficient than least-squares estimators and produces robust estimators to heteroscedasticity of the residuals. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19852517
Volume :
21
Issue :
3
Database :
Complementary Index
Journal :
Journal of Financial Reporting & Accounting (Emerald Group Publishing Limited)
Publication Type :
Academic Journal
Accession number :
163976200
Full Text :
https://doi.org/10.1108/JFRA-07-2021-0205