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Języki publikacji
Abstrakty
Purpose: Despite the central role of profitability in economic analysis, previous research has yielded diverse and often unstructured conclusions regarding its determinants. To address this gap, this empirical investigation aimed to explore the major determinants of company profitability. Design/methodology/approach: It conducted a comprehensive analysis of factors, encompassing: changes in the gross domestic product, Consumer Price Index, Producer Price Index, NBP’s Reference rate, investment outlays, intramural expenditures on research and development, expenditures on innovation activities in enterprises, and patents granted, alongside company-level profitability indicators. The study's sample consisted of companies representing 19 sectors of the economy, spanning from 2004 to 2021. For data analysis, a neural network was employed, specifically a multi-layer perceptron (MLP) utilizing the sigmoid activation function. Findings: The findings suggest that alterations in macroeconomic variables can significantly impact the profitability of companies. The analysis carried out revealed that consumer price index, reference rate, gross domestic product and producer price index were the most important exogeneous factors. Originality/value: This study introduces several novelties, including the application of neural networks, which are infrequently utilized in this field, and the simultaneous analysis of a comprehensive set of independent variables.
Rocznik
Tom
Strony
667--683
Opis fizyczny
Bibliogr. 32 poz.
Twórcy
autor
- Poznań University of Economics and Business
Bibliografia
- 1. Asimakopoulos, I., Samitas, A., Papadogonas, T. (2009). Firm-specific and economy wide determinants of firm profitability: Greek evidence using panel data. Managerial Finance, Vol. 35, No. 11, pp. 930-939.
- 2. Bar-Ilan, A., Strange, W. (1996). Investment lags. The American Economic Review, Vol. 86, No. 3, pp. 610-622.
- 3. Basatry, T., Shella, P. (2019). Exchange Rate Risk in the Foreign Exchange Market: A Challenge on Corporate Profitability. In: M. Prasad, S. Sekhar, Currency Risk Management (pp. 69-76). Malaga: Veron Press.
- 4. Batra, R., Kalia, A. (2016). Rethinking and Redefining the Determinants of Corporate Profitability. Global Business Review, Vol. 17, No. 4, pp. 921-933.
- 5. Chebotareva, G. (2018). Leading factors of market profitability of the renewable energy companies. Proceedings - 2nd International Conference on Social, economic, and academic leadership. Amsterdam: Atlantis Press.
- 6. Dang, H., Vu, V., Ngo, X., Hoang, H. (2019). Study the Impact of Growth, Firm Size, Capital Structure, and Profitability on Enterprise Value: Evidence of Enterprises in Vietnam. Journal of Corporate Accounting and Finance, Vol. 30, Iss. 1, pp. 144-160.
- 7. Diacon, P., Maha, L. (2015). The Relationship between Income, Consumption and GDP: A Time Series, Cross-Country Analysis. Procedia Economics and Finance, 23, 1535-1543.
- 8. EMIS (2022). EMIS dla Uczelni. Dostęp do kluczowych informacji o rynkach wschodzących dla instytucji akademickich, https://info.emis.com/dlauczelni.
- 9. Guo, B., Wang, J., Wei, S. (2018). R&D spending, strategic position and firm performance. Frontiers of Business Research in China, 12(14). https://doi.org/10.1186/s11782-018-0037-7
- 10. IBM (2019). IBM SPSS Neural Networks. USA: IBM Corporation.
- 11. IBM (2023). Prepare data for machine learning, https://www.ibm.com/cloud/architecture/ architecture/practices/prepare-data-for-machine-learning/
- 12. Jaumandreu, J., Mairesse, J. (2015). Disentangling the effects of process and product innovation on cost and demand. Economics of Innovation and New Technology, 26(1-2), https://doi.org/10.1080/10438599.2016.1205276
- 13. Karłowska-Pik, J. (2022). Predykcja z wykorzystanim sieci neuronowych i ocena jakości predykcji. Cracow: AGH/Predictive solutions.
- 14. Ken, Y., Tsai, T., Ou, Y. (2008). Study of the time lag effect of patent impact on profitability of U.S. Pharmaceutical Industry from innovation to profit. PICMET '08 - 2008 Portland International Conference on Management of Engineering & Technology, Cape Town, South Africa, 2008, pp. 2588-2596, doi: 10.1109/PICMET.2008.4599887
- 15. Khrawish, H. (2011). Determinants of commercial banks performance: Evidence from Jordan. International Research Journal of Finance and Economics, No. 81, pp. 148-159.
- 16. Kotsina, S., Hazak, A. (2012). Does investment intensity impact company profitability? A cross-country empirical study. Proceedings from the 2nd International Conference on Economics, Trade and Development IPEDR Vol. 36. IACSIT Press, Singapore.
- 17. Lin, L. (2011). Licensing Strategies in the Presence of Patent Thickets. Journal of Product Innovation Management, 28, 698-725.
- 18. Ling, B., Chen, C., Wu, H. (2006). Patent portfolio diversity, technology strategy, and firm value. IEEE Transactions on Engineering Management, 53(1). 10.1109/TEM.2005.861813
- 19. Love, J., Roper, S., Du, J. (2009). Innovation, Ownership and Profitability. International Journal of Industrial Organization, 27(3), 424-434.
- 20. Martins, A., Serra, A., Stevenson, S. (2019). Determinants of real estate bank profitability. Research in International Business and Finance, No. 49, pp. 282-300.
- 21. Mikołajewicz, G., Nowicki, J. (2021). Analiza finansowa przedsiębiorstwa z elementami zrównoważonego rozwoju. Poznań: Wydawnictwo UEP.
- 22. Muscettola, M., Naccarato, F. (2016). The Casual Relationship Between Debt and Profitability: The Case of Italy. Athens Journal of Business and Economics, 2(1), 17-32.
- 23. Nguyen, L., Chevapatrakul, T., Mateut, S. (2022). Shock transmissions and business linkages among US sectors. Annals of Operations Research. https://doi.org/10.1007/s10479-022-04979-8
- 24. Robinson, T., Greuning, H., Henry, E., Broihahn, M. (2020). International financial statement analysis. CFA Institute Investment Series. New York: Wiley.
- 25. Sangkyun, P. (2022). Stocks as a Hedge against Inflation: Does Corporate Profitability Keep Up with Inflation? The Journal of Investing, Vol. 32, Iss. 5, https://doi.org/10.3905/joi.2023.1.284
- 26. Santsuosso, P. (2014). Cost of Debt and Corporate Profitability. International Business Research, 7(2), 13-21. http://dx.doi.org/10.5539/ibr.v7n2p13
- 27. Statistics Poland (2023A). Macroeconomic Data Bank, https://bdm.stat.gov.pl.
- 28. Statistics Poland (2023B). Wskaźnik cen produkcji sprzedanej przemysłu, https://stat.gov.pl/metainformacje/slownik-pojec/pojecia-stosowane-w-statystyce-publicznej/708,pojecie.html
- 29. Stern, D., Burke, P., Burns, S. (2017). The Impact of Electricity on Economic Development: A Macroeconomic Perspective. Energy and Economic Growth, No 1.1, pp. 1-42.
- 30. Sufian, F. (2009). Factors influencing bank profitability in a developing economy empirical evidence from Malaysia. Global Business Review, Vol. 10, No. 2, pp. 225-241.
- 31. Sufian, F., Noor, M. (2012). Determinants of bank performance in a developing economy does bank origins matters? Global Business Review, Vol. 13, No. 1, pp. 1-23.
- 32. Szutowski, D. (2023). Rentowność przedsiębiorstw w warunkach niepewności – analiza z wykorzystaniem sieci neuronowych. In: C. Kochalski (ed.), Analiza ekonomiczna przedsiębiorstw w warunkach niepewności. Poznań: Wydawnictwo UEP.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-05793370-f7aa-4339-bb7e-dbf73daf218a