MODELLING THE IMPACT OF FACTORS ON THE PROFITABILITY OF BUSINESS ENTITIES ACTIVITY

Authors

DOI:

https://doi.org/10.60022/sis.1.(01).2

Keywords:

modelling, economic activity, business entities, profitability, investment, labour productivity, current and non-current assets, products sold, employment, remuneration

Abstract

The instability of the market environment requires business entities to make timely management decisions in order to ensure an appropriate level of profitability of production activity. At present, there are a significant number of methodologies that allow evaluating profitability and forecasting its dynamics for any period in the best possible way. Simultaneously, there is a need to deepen the modelling of the influence of factors that change the profitability of production, which is especially important in the context that profitability is a complex index. That is why accounting of its components will allow identifying the impulses that lead to a decrease or increase in the profitability of an entrepreneurial entity activity. The materials for the study are officially promulgated statistical data on the financial activity of business entities, including large, medium, small and micro-enterprises. The assessment of the impact on the level of profitability of all activities of enterprises is carried out with the involvement of factors: the volume of sales, capital investment, the number of employees, labour productivity, labour costs, the value of current assets, and the value of non-current assets. The information base for the evaluation is the data for the retrospective period of 2010–2020. In the process of modelling, we used such methods: analysis, synthesis, induction and deduction, as well as a set of statistical techniques for calculating the correlation coefficient, Student’s t-test and Fisher’s criteria, regression analysis, coefficient of determination, etc. The results of the implementation of the proposed methodology of calculating the impact of individual factors of economic activity on the resulting indicator of profitability have revealed the dependence between the main indicators and profitability. In particular, the following results are obtained: for large enterprises the dependence between the profitability of operating activities and all factors is significant; for medium enterprises, the dependence between the profitability of operating activities and the volume of products sold and the volume of capital investment is revealed; for small enterprises, the dependence is found only on the volume of capital investment. Moreover, for microenterprises, the dependence of profitability on individual factors of economic activity was not detected. For all enterprises, the dependence of profitability of operating activity on the volume of products sold, the volume of capital investment, labour productivity and labour costs was revealed. The proposed methodology for modelling the impact of individual indicators on the profitability of business entities has made it possible to identify the impulses that should be addressed to prevent the bankruptcy of an enterprise or a reduction in its profitability. The methodology will be useful for interested stakeholders wishing to systematically monitor profitability and make adequate management decisions on this basis.

References

Louis, P., Seret, A., & Baesens, B. (2013). Financial efficiency and social impact of microfinance institutions using self-organizing maps. World Development, 46, 197–210. https://doi.org/10.1016/j.worlddev.2013.02.006

Tenge, A. J., & Hella, J. P. (2005). Financial efficiency of major soil and water conservation measures in West Usambara highlands, Tanzania. Applied Geography, 25(4), 348–366. https://doi.org/10.1016/j.apgeog.2005.08.003

Chen, G., Firth, M., & Rui, O. (2006). Have China’s enterprise reforms led to improved efficiency and profitability?. Emerging markets review, 7(1), 82–109. https://doi.org/10.1016/j.ememar.2005.05.003

Luo, X. (2003). Evaluating the profitability and marketability efficiency of large banks: An application of data envelopment analysis. Journal of Business research, 56(8), 627–635. https://doi.org/10.1016/S0148-2963(01)00293-4

Enqvist, J., Graham, M., & Nikkinen, J. (2014). The impact of working capital management on firm profitability in different business cycles: Evidence from Finland. Research in International Business and finance, 32, 36–49. https://doi.org/10.1016/j.ribaf.2014.03.005

Olson, D., & Zoubi, T. A. (2011). Efficiency and bank profitability in MENA countries. Emerging markets review, 12(2), 94–110. https://doi.org/10.1016/j.ememar.2011.02.003

Aissa, S. B., & Goaied, M. (2016). Determinants of Tunisian hotel profitability: The role of managerial efficiency. Tourism management, 52, 478–487. https://doi.org/10.1016/j.tourman.2015.07.015

Syriopoulos, T., Tsatsaronis, M., & Gorila, M. (2022). The global cruise industry: Financial performance evaluation. Research in Transportation Business & Management, 45, 100558. https://doi.org/10.1016/j.rtbm.2020.100558

Le, T. H., Chuc, A. T., & Taghizadeh- Hesary, F. (2019). Financial inclusion and its impact on financial efficiency and sustainability: Empirical evidence from Asia. Borsa Istanbul Review, 19(4), 310–322. https://doi.org/10.1016/j.bir.2019.07.002

Le, T. D., & Ngo, T. (2020). The determinants of bank profitability: A cross-country analysis. Central Bank Review, 20(2), 65–73. https://doi.org/10.1016/j.cbrev.2020.04.001

Eling, M., & Jia, R. (2019). Efficiency and profitability in the global insurance industry. Pacific-Basin Finance Journal, 57, 101190. https://doi.org/10.1016/j.pacfin.2019.101190

Downloads

Published

2023-12-29

How to Cite

Gribincea, C., & Chernykh, O. (2023). MODELLING THE IMPACT OF FACTORS ON THE PROFITABILITY OF BUSINESS ENTITIES ACTIVITY. Smart Economy, Entrepreneurship and Security, 1(1), 20–30. https://doi.org/10.60022/sis.1.(01).2