Earnings management initiatives and selected characteristics of an entity: a case study of the Visegrad Four
-
DOIhttp://dx.doi.org/10.21511/ppm.18(3).2020.03
-
Article InfoVolume 18 2020, Issue #3, pp. 28-41
- Cited by
- 743 Views
-
260 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
This paper responds to the current issue of Earnings Management (hereafter EM) initiatives in the Visegrad Four. The aim is to identify EM practices and determine a statistically significant relationship between EM practices and firm size, country, or business sector. The paper contains a literature review, bibliometric analysis, and a description of the methods used in the practical part. Many publications containing the term “EM” in scientific databases, a keyword science map for “EM” publications, a science map of the most cited contributions dealing with EM, a science map of countries with the highest number of cited publications with the term “EM”, and a science map of sources with the highest number of publications with the term “EM” are included. The analysis covers the period from 1900 to 2019. The study is focused on detecting the presence of EM initiatives in the Visegrad Four using the modified Jones model. Results confirmed the EM initiatives in the Czech Republic, Slovak Republic, Poland, and Hungary. Using the one-way ANOVA test, a statistically significant relationship was confirmed between EM practices and firm size, country, and business sector. The study uses a sample of 250 financial statements of entities from each Visegrad Four country for the year 2018. The sample is adjusted for outliers using the IQR method.
Acknowledgment
This paper was financially supported by the Slovak Research and Development Agency – Grant No. APVV-17-0546 Variant Comprehensive Model of Earnings Management in Conditions of The Slovak Republic as an Essential Instrument of Market Uncertainty Reduction.
- Keywords
-
JEL Classification (Paper profile tab)M41, M42, G14
-
References29
-
Tables6
-
Figures7
-
- Figure 1. Number of publications with the term “Earnings Management” in Social Science Research Network
- Figure 2. Number of publications with the term “Earnings Management” in Web of Science
- Figure 3. Keyword science maps for Earnings Management, 1900–2000
- Figure 4. Keyword science maps for Earnings Management, 2001–2019
- Figure 5. Co-citation analysis – cited authors from 1900 to 2019
- Figure 6. A science map of countries with the highest number of cited publications with the term “Earnings Management” from 1900 to 2019
- Figure 7. A science map of sources with the highest number of publications with the term “Earnings Management” from 1900 to 2019
-
- Table 1. The most frequently used calculation methods of EM
- Table 2. Characteristics of the conducted bibliometric analysis
- Table 3. Results of the variables calculation for five selected companies
- Table 4. Criteria for an explanatory power measurement of the model in calculating EM initiatives
- Table 5. Explanatory power of the model used within countries
- Table 6. Hypothesis testing results
-
- Al Sayed, A. R. M., Isa, Z., & Kun, S. S. (2018). Outliers Detection Methods in Panel Data Regression: An Application to Environment Science. International Journal of Ecological Economics & Statistics, 39(1), 73-86.
- Asghar, A., Sajjad, S., Shahzad, A., & Matemilola, B. T. (2020). Role of discretionary earning management in corporate governance-value and corporate governance-risk relationships. Corporate Governance – The International Journal of Business in Society, 27(2), 668-701.
- Assenso-Okofo, O., Ali, J., & Ahmed, K. (2020). The effects of global financial crisis on the relationship between CEO compensation and earnings management. International Journal of Accounting and Information Management, 25(2), 389-408.
- Barber, R., & Hollie, D. (2020). Competition’s impact on research and development real activities earnings management. Managerial Finance.
- Davidson, S. and collective. (2005). Accounting: The Language of Business. Arizona: Thomas Horton and Daughters.
- Dechow, P. et al. (1995). Detecting Earnings Management. The Accounting Review, 70(2), 193-225.
- Durana, P., Kral, P., Stehel, V., Lazaroiu, G., & Sroka, W. (2019). Quality Culture of Manufacturing Enterprises: A Possible Way to Adaptation to Industry 4.0. Social Science, 8(4), 1-25.
- Durica, M., Podhorska, I., & Durana, P. (2019). Business failure prediction using cart-based model: A case of Slovak companies. Ekonomicko-Manazerske Spektrum, 13(1), 51-61.
- Hoglund, H. (2012). Detecting earnings management with neural networks. Expert Systems with Applications, 39(10), 9564-9570.
- Hudakova, M., Masar, M., Luskova, M., & Patak, M. R. (2018). The Dependence of Perceived Business Risks on the Size of SMEs. Journal of Competitiveness, 10(4), 54-69.
- Khanh, M. T. H., & Thu, P. A. (2019). The effect of financial leverage on real and accrual-based earnings management on Vietnamese firms. Economics and Sociology, 12(4), 299-312.
- Kim, J. H., Lee, S. H., & Yoo, Y. K. (2020). Real earnings management and the cost of debt capital: international evidence. Asia-Pacific Journal of Accounting and Economic, 27(2), 151-172.
- Kljucnikov, A., Belas, J., & Smrcka, L. (2016). Risk-taking and Aggressiveness as the Significant Part of the Entrepreneurial Orientation of SMEs: Case of the Czech Republic. Polish Journal of Management Studies, 14(1), 129-139.
- Kovacova, M., Kliestik, T., Valaskova, K., Durana, P., & Juhaszova, Z. (2019). Systematic review of variables applied in bankruptcy prediction models of Visegrad group countries. Oeconomia Copernicana, 10(4), 743-772.
- Mckee, T. E. (2005). Earnings Management: An Executive Perspective. Indiana: Thomson.
- Mulford, Ch. W., & Comiskey, E. E. (2005). The Financial Numbers Game: Detecting Creative Accounting Practices. UK: Wiley.
- Noyons, E. (2001). Bibliometric mapping of science in a science policy context. Scientometrics, 50, 83-98.
- Podhorska, I., Gajanova, L., Kliestikova, J., & Popescu, G. H. (2019). Analysis of internally generated goodwill indicators: A case study of the Slovak Republic. Organizacija, 52(4), 271-285.
- Premti, A., & Smith, G. (2020). Earnings management in the pre-IPO process: Biases and predictors. Research in International Business And Finance, 52(UNSP 101120).
- Ronen, J., & Yaari, V. (2008). Earnings Management. US: Springer.
- Roychowdhury, S. (2006). Earnings management through real activities manipulation. Journal of Accounting and Economics, 42(3), 335-370.
- Sadaf, R., Olah, J., Popp, J., & Mate, D. (2019). Institutional Ownership and Simultaneity of Strategic Financial Decisions: An Empirical Analysis in the Case of Pakistan Stock Exchange. E & M Ekonomie a Management, 22(1), 172-188.
- Salehi, M., Shiri, M. M., & Hossini. S. Z. (2020). The relationship between managerial ability, earnings management and internal control quality on audit fees in Iran. International Journal of Productivity and Performance Management, 69(1), 685-703.
- Sankar, M. R., & Subramanyam, K. R. (2001). Reporting Discretion and Private Information Communication through Earnings. Journal of Accounting Research, 39(2), 365-386.
- Schipper, K. (1989). Commentary on earnings management. Accounting Horizons, 3(4), 91-102.
- Suprianto, E., Rahmawati, R., Setiawan, D., & Aryani, Y. A. (2019). Controlling generation of family firms and earnings management in Indonesia: The role of accounting experts of audit committees. Journal of International Studies, 12(3), 265-276.
- Udell, M., Stehel, V., Kliestik, T., Kliestikova, J., & Durana, P. (2019). Towards a Smart Automated Society: Cognitive Technologies, Knowledge Production, and Economic Growth. Economics, Management, and Financial Markets, 14(1), 44-49.
- Vrbka, J., Nica, E., & Podhorska, I. (2019). The application of Kohonen networks for identification of leaders in the trade sector in Czechia. Equilibrium – Quarterly Journal of Economics and Economic Policy, 14(4), 739-761.
- Whittle, T., Gregova, E., Podhorska, I., & Rowland, Z. (2019). Smart Manufacturing Technologies: Data-driven Algorithms in Production Planning, Sustainable Value Creation, and Operational Performance Improvement. Economics, Management, and Financial Markets, 14(2), 52-57.