Araştırma Makalesi
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Ar-Ge Yoğunluğu ve Finansal Gevşekliğin Firma Performansına Etkisi: Türkiye’de En Yüksek Ar-Ge Harcaması Yapan Firmaların Analizi

Yıl 2025, Cilt: 10 Sayı: 4, 1366 - 1381, 31.12.2025
https://doi.org/10.30784/epfad.1666691

Öz

Finansal gevşeklik, şirketlerin beklenmedik fırsatlara yanıt vermek ve kriz zamanlarında kullanmak üzere elinde tuttuğu, kullanılmayan borçlanma kapasitesi, likit varlıklar ve öz sermaye gibi fazla kaynakların varlığını ifade eder. Bu çalışma, finansal gevşekliğin ve araştırma ve geliştirme çalışmalarının yoğunluğunun Türkiye'de faaliyet gösteren şirketlerin karlılığı üzerindeki karşılaştırmalı etkilerinin keşfedici bir analizini yürütmektedir. Bu çalışma, Turkish Time (2023) yayınında belirtildiği gibi 2004-2023 yılları arasında en yüksek araştırma ve geliştirme harcamalarına sahip 26 şirketten elde edilen panel verilerini kullanmaktadır. Panel FGLS analizi, Ar-Ge yoğunluğunun karlılık üzerindeki etkisinin önemli ölçüde negatif kaldığını göstermektedir. Bu sonuç, getirilerin uzun vadeye odaklı olması ve önemli maliyetler içermesiyle açıklanabilmektedir. Aksine, finansal gevşeklik şirketin karlılığını olumlu yönde etkilemektedir ve finansal gevşekliğin, beklenmedik piyasa taleplerine tepki verme esnekliği ve kapasitesi anlamına geldiği görülmektedir. Bununla birlikte, yapılan ek Panel FGLS analizinde finansal gevşeklik ile piyasa değeri (P/B oranı) arasında ters U şeklinde doğrusal olmayan bir ilişki tespit edilmiştir. Optimal bir eşiğe kadar piyasa değerini artıran bu kaynaklar, aşırı biriktiğinde kaynak tahsisinde verimsizlik sinyali vererek firma değerini olumsuz etkileyebilmektedir. Bu nedenle, finansal gevşekliğin stratejik yönetimi kritik önem taşımaktadır.

Kaynakça

  • Akyol, H. and Özkan, N. (2023). The relationship between R&D and export intensity and financial performance: The case of Turkey's 500 largest industrial enterprises. Journal of Economics and Financial Research, 5(1), 51-82. https://doi.org/10.56668/jefr.1312495
  • Ashwin, A.S., Krishnan, R.T. and George, R. (2016). Board characteristics, financial slack and R&D investments: An empirical analysis of the Indian pharmaceutical industry. International Studies of Management & Organization, 46(1), 8-23. https://doi.org/10.1080/00208825.2015.1007007
  • Aslan, T. (2024). The effect of R&D intensity on firm performance: A study on BIST companies. Journal of Management, Economics and Finance Research, 1(1), 56-65. Retrieved from https://dergipark.org.tr/pub/yefa
  • Baltagi, B.H. (2008). Econometric analysis of panel data (3. ed.) Chichester: John Wiley & Sons. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1016/S0742-3322(00)17018-4
  • Bourgeois, L.J. and Singh, J.V. (1983). Organizational slack and political behavior among top management teams. Academy of Management Proceedings, 1983(1), 43-47. https://doi.org/10.5465/ambpp.1983.4976315
  • Breusch, T.S. and Pagan, A.R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287-1294. https://doi.org/10.2307/1911963
  • Chen, T.C., Guo, D. Q., Chen, H.M. and Wei, T.T. (2019). Effects of R&D intensity on firm performance in Taiwan's semiconductor industry. Economic Research-Ekonomska Istraživanja, 32(1), 2377-2392. https://doi.org/10.1080/1331677X.2019.1642776
  • Cook, R.D. and Weisberg, S. (1983). Diagnostics for heteroscedasticity in regression. Biometrika, 70(1), 1-10. https://doi.org/10.1016/j.procs.2019.09.087
  • Eldawayaty, D.M.A. (2020). The impact of research and development (R&D) intensity on financial performance and firm value: An empirical study on pharmaceutical companies listed on Egyptian Stock Exchange. Alexandria Journal of Accounting Research, 4(3), 1-55. https://doi.org 10.21608/aljalexu.2020.123668
  • Erdogan, M. and Yamaltdinova, A. (2019). A panel study of the impact of R&D on financial performance: Evidence from an emerging market. Procedia Computer Science, 158, 541-545. https://doi.org/j.procs.2019.09.087
  • Finnet. (2024). Stockeys pro [Computer software]. Retrieved from https://www.stockeys.com
  • Gui-long, Z., Yi, Z., Kai-hua, C. and Jiang, Y. (2017). The impact of R&D intensity on firm performance in an emerging market: Evidence from China's electronics manufacturing firms. Asian Journal of Technology Innovation, 25(1), 41-60. https://doi.org/10.1080/19761597.2017.1302492
  • Guo, F., Zou, B., Zhang, X., Bo, Q. and Li, K. (2020). Financial slack and firm performance of SMMEs in China: Moderating effects of government subsidies and market-supporting institutions. International Journal of Production Economics, 223, 107530. https://doi.org/10.1016/j.ijpe.2019.107530
  • Hausman, J.A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 46(6), 1251-1271. https://doi.org/10.2307/1913827
  • Hsiao, C. (2007). Panel data analysis—advantages and challenges. Test, 16(1), 1-22. Retrieved from https://www.springer.com
  • Irmak, F. (2024). Finansal gevşeklik, mülkiyet-yönetim kurulu yapısı ve firma performansı arasındaki ilişki: BIST 100 örneği. Ekonomi Politika ve Finans Araştırmaları Dergisi, 9(3), 520-548. https://doi.org/10.30784/epfad.1483523
  • Jensen, M.C. and Meckling, W.H. (2019). Theory of the firm: Managerial behavior, agency costs and ownership structure. In L.E. Mitchell (Ed.), Corporate governance (pp. 77–132). London: Gower.
  • Lee, C.Y., Wu, H.L. and Pao, H.W. (2014). How does R&D intensity influence firm explorativeness? Evidence of R&D active firms in four advanced countries. Technovation, 34(10), 582-593. https://doi.org/10.1016/j.technovation.2014.05.003
  • Lehenchuk, S., Ostapchuk, T., Raboshuk, A., Vyhivska, I. and Makarovych, V. (2022). The inverted-u relationship between R&D and profitability: Evidence from the Slovak medical device industry. Intellectual Economics, 16(2), 121-137. https://doi.org/10.13165/IE-22-16-2-07
  • Leibenstein, H. (1966). Allocative efficiency vs." X-efficiency". The American Economic Review, 56(3), 392-415. Retrieved from https://www.jstor.org/
  • Pesaran, M.H. (2004). General diagnostic tests for cross section dependence in panels (Cambridge Working Papers in Economics No. 0435). Retrieved from https://www.repository.cam.ac.uk/handle/1810/446
  • Pesaran, M.H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2), 265-312. Retrieved from https://www.tandfonline.com/
  • Pfeffer, J. and Salancik, G. (2015). External control of organizations—resource dependence perspective. In J.B. Miner (Ed.), Organizational behavior 2: Essential theories of process and structure (pp. 355-370). New York: Routledge.
  • Rađenović, T., Krstić, B., Janjić, I. and Vujatović, M.J. (2023). The effects of R&D performance on the profitability of highly innovative companies. Strategic Management-International Journal of Strategic Management and Decision Support Systems in Strategic Management, 28(3), 34-45. https://doi.org/10.5937/StraMan2200034R
  • Sharma, C. (2012). R&D and firm performance: Evidence from the Indian pharmaceutical industry. Journal of the Asia Pacific Economy, 17(2), 332-342. https://doi.org/10.1080/13547860.2012.668094
  • Şahin, E. and Irmak, F. (2024). Finansal gevşeklik ile Ar-Ge yatırımları arasındaki ilişkinin belirlenmesi: BIST imalat sektörü örneği. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 64, 185-198. https://doi.org/10.30794/pausbed.1495033
  • Turkish Time. (2023). The 250 largest companies by R&D expenditures in 2023. Retrieved from https://turkishtimedergi.com/arge250/2023/
  • Voss, G.B., Sirdeshmukh, D. and Voss, Z.G. (2008). The effects of slack resources and environmental threat on product exploration and exploitation. Academy of Management Journal, 51(1), 147-164. Retrieved from https://www.jstor.org/
  • Wooldridge, J.M. (2010). Econometric analysis of cross section and panel data. Cambridge: MIT Press.
  • Yaffee, R. (2003). A primer for panel data analysis. Connect: Information Technology at NYU, 8(3), 1-11. Retrieved from https://abenkhalifa.wordpress.com/
  • Yeh, M.-L., Chu, H.-P., Sher, P.J. and Chiu, Y.-C. (2010). R&D intensity, firm performance and the identification of the threshold: Fresh evidence from the panel threshold regression model. Applied Economics, 42(3), 389-7401. https://doi.org/10.1080/00036840701604487

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

Yıl 2025, Cilt: 10 Sayı: 4, 1366 - 1381, 31.12.2025
https://doi.org/10.30784/epfad.1666691

Öz

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.

Kaynakça

  • Akyol, H. and Özkan, N. (2023). The relationship between R&D and export intensity and financial performance: The case of Turkey's 500 largest industrial enterprises. Journal of Economics and Financial Research, 5(1), 51-82. https://doi.org/10.56668/jefr.1312495
  • Ashwin, A.S., Krishnan, R.T. and George, R. (2016). Board characteristics, financial slack and R&D investments: An empirical analysis of the Indian pharmaceutical industry. International Studies of Management & Organization, 46(1), 8-23. https://doi.org/10.1080/00208825.2015.1007007
  • Aslan, T. (2024). The effect of R&D intensity on firm performance: A study on BIST companies. Journal of Management, Economics and Finance Research, 1(1), 56-65. Retrieved from https://dergipark.org.tr/pub/yefa
  • Baltagi, B.H. (2008). Econometric analysis of panel data (3. ed.) Chichester: John Wiley & Sons. Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120. https://doi.org/10.1016/S0742-3322(00)17018-4
  • Bourgeois, L.J. and Singh, J.V. (1983). Organizational slack and political behavior among top management teams. Academy of Management Proceedings, 1983(1), 43-47. https://doi.org/10.5465/ambpp.1983.4976315
  • Breusch, T.S. and Pagan, A.R. (1979). A simple test for heteroscedasticity and random coefficient variation. Econometrica, 47(5), 1287-1294. https://doi.org/10.2307/1911963
  • Chen, T.C., Guo, D. Q., Chen, H.M. and Wei, T.T. (2019). Effects of R&D intensity on firm performance in Taiwan's semiconductor industry. Economic Research-Ekonomska Istraživanja, 32(1), 2377-2392. https://doi.org/10.1080/1331677X.2019.1642776
  • Cook, R.D. and Weisberg, S. (1983). Diagnostics for heteroscedasticity in regression. Biometrika, 70(1), 1-10. https://doi.org/10.1016/j.procs.2019.09.087
  • Eldawayaty, D.M.A. (2020). The impact of research and development (R&D) intensity on financial performance and firm value: An empirical study on pharmaceutical companies listed on Egyptian Stock Exchange. Alexandria Journal of Accounting Research, 4(3), 1-55. https://doi.org 10.21608/aljalexu.2020.123668
  • Erdogan, M. and Yamaltdinova, A. (2019). A panel study of the impact of R&D on financial performance: Evidence from an emerging market. Procedia Computer Science, 158, 541-545. https://doi.org/j.procs.2019.09.087
  • Finnet. (2024). Stockeys pro [Computer software]. Retrieved from https://www.stockeys.com
  • Gui-long, Z., Yi, Z., Kai-hua, C. and Jiang, Y. (2017). The impact of R&D intensity on firm performance in an emerging market: Evidence from China's electronics manufacturing firms. Asian Journal of Technology Innovation, 25(1), 41-60. https://doi.org/10.1080/19761597.2017.1302492
  • Guo, F., Zou, B., Zhang, X., Bo, Q. and Li, K. (2020). Financial slack and firm performance of SMMEs in China: Moderating effects of government subsidies and market-supporting institutions. International Journal of Production Economics, 223, 107530. https://doi.org/10.1016/j.ijpe.2019.107530
  • Hausman, J.A. (1978). Specification tests in econometrics. Econometrica: Journal of the Econometric Society, 46(6), 1251-1271. https://doi.org/10.2307/1913827
  • Hsiao, C. (2007). Panel data analysis—advantages and challenges. Test, 16(1), 1-22. Retrieved from https://www.springer.com
  • Irmak, F. (2024). Finansal gevşeklik, mülkiyet-yönetim kurulu yapısı ve firma performansı arasındaki ilişki: BIST 100 örneği. Ekonomi Politika ve Finans Araştırmaları Dergisi, 9(3), 520-548. https://doi.org/10.30784/epfad.1483523
  • Jensen, M.C. and Meckling, W.H. (2019). Theory of the firm: Managerial behavior, agency costs and ownership structure. In L.E. Mitchell (Ed.), Corporate governance (pp. 77–132). London: Gower.
  • Lee, C.Y., Wu, H.L. and Pao, H.W. (2014). How does R&D intensity influence firm explorativeness? Evidence of R&D active firms in four advanced countries. Technovation, 34(10), 582-593. https://doi.org/10.1016/j.technovation.2014.05.003
  • Lehenchuk, S., Ostapchuk, T., Raboshuk, A., Vyhivska, I. and Makarovych, V. (2022). The inverted-u relationship between R&D and profitability: Evidence from the Slovak medical device industry. Intellectual Economics, 16(2), 121-137. https://doi.org/10.13165/IE-22-16-2-07
  • Leibenstein, H. (1966). Allocative efficiency vs." X-efficiency". The American Economic Review, 56(3), 392-415. Retrieved from https://www.jstor.org/
  • Pesaran, M.H. (2004). General diagnostic tests for cross section dependence in panels (Cambridge Working Papers in Economics No. 0435). Retrieved from https://www.repository.cam.ac.uk/handle/1810/446
  • Pesaran, M.H. (2007). A simple panel unit root test in the presence of cross‐section dependence. Journal of Applied Econometrics, 22(2), 265-312. Retrieved from https://www.tandfonline.com/
  • Pfeffer, J. and Salancik, G. (2015). External control of organizations—resource dependence perspective. In J.B. Miner (Ed.), Organizational behavior 2: Essential theories of process and structure (pp. 355-370). New York: Routledge.
  • Rađenović, T., Krstić, B., Janjić, I. and Vujatović, M.J. (2023). The effects of R&D performance on the profitability of highly innovative companies. Strategic Management-International Journal of Strategic Management and Decision Support Systems in Strategic Management, 28(3), 34-45. https://doi.org/10.5937/StraMan2200034R
  • Sharma, C. (2012). R&D and firm performance: Evidence from the Indian pharmaceutical industry. Journal of the Asia Pacific Economy, 17(2), 332-342. https://doi.org/10.1080/13547860.2012.668094
  • Şahin, E. and Irmak, F. (2024). Finansal gevşeklik ile Ar-Ge yatırımları arasındaki ilişkinin belirlenmesi: BIST imalat sektörü örneği. Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 64, 185-198. https://doi.org/10.30794/pausbed.1495033
  • Turkish Time. (2023). The 250 largest companies by R&D expenditures in 2023. Retrieved from https://turkishtimedergi.com/arge250/2023/
  • Voss, G.B., Sirdeshmukh, D. and Voss, Z.G. (2008). The effects of slack resources and environmental threat on product exploration and exploitation. Academy of Management Journal, 51(1), 147-164. Retrieved from https://www.jstor.org/
  • Wooldridge, J.M. (2010). Econometric analysis of cross section and panel data. Cambridge: MIT Press.
  • Yaffee, R. (2003). A primer for panel data analysis. Connect: Information Technology at NYU, 8(3), 1-11. Retrieved from https://abenkhalifa.wordpress.com/
  • Yeh, M.-L., Chu, H.-P., Sher, P.J. and Chiu, Y.-C. (2010). R&D intensity, firm performance and the identification of the threshold: Fresh evidence from the panel threshold regression model. Applied Economics, 42(3), 389-7401. https://doi.org/10.1080/00036840701604487
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Panel Veri Analizi , Finans, Finansal Ekonometri
Bölüm Araştırma Makalesi
Yazarlar

Cansu Çilingir Kara 0000-0001-5923-9700

Gönderilme Tarihi 27 Mart 2025
Kabul Tarihi 4 Aralık 2025
Yayımlanma Tarihi 31 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 10 Sayı: 4

Kaynak Göster

APA Çilingir Kara, C. (2025). The Impact of R&D Intensity and Financial Slack on Company Performance: An Analysis of Companies with the Highest R&D Expenditure in Türkiye. Ekonomi Politika ve Finans Araştırmaları Dergisi, 10(4), 1366-1381. https://doi.org/10.30784/epfad.1666691