The Impact of R&D Intensity and Financial Slack on Company Performance: An Analysis of Companies with the Highest R&D Expenditure in Türkiye

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  • Cansu Çilingir Kara

Abstract

Financial slack refers to the existence of excess resources, such as unused borrowing capacity, liquid assets, and equity, that companies hold to respond to unexpected opportunities and use during times of crisis. This study conducts an exploratory analysis of the comparative effects of financial slack and the intensity of research and development activities on the profitability of companies operating in Turkey. As stated in Turkish Time (2023), this study uses panel data obtained from 26 companies with the highest research and development expenditures between 2004 and 2023. Panel FGLS analysis shows that the effect of R&D intensity on profitability remains significantly negative. This result can be explained by the long-term focus on returns and the high costs involved. Conversely, financial slack positively affects the company's profitability, and financial slack is seen to mean the slack and capacity to respond to unexpected market demands. However, the additional Panel FGLS analysis, a non-linear inverse U-shaped relationship was found between financial slack and market value (P/B ratio). While these resources increase market value up to an optimal threshold, when accumulated excessively, they can signal inefficiency in resource allocation and negatively impact firm value. Therefore, the strategic management of financial slack is of critical importance.

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References listed on IDEAS

  1. Ming-Liang Yeh & Hsiao-Ping Chu & Peter Sher & Yi-Chia Chiu, 2010. "R&D intensity, firm performance and the identification of the threshold: fresh evidence from the panel threshold regression model," Applied Economics, Taylor & Francis Journals, vol. 42(3), pages 389-401.
  2. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, December.

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JEL classification:

  • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
  • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
  • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
  • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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