Leverage and Earnings Management: Firm Size Moderation in Indonesian Industrial Firms

Authors

  • Eni Srihastuti Universitas Islam Kadiri, Indonesia
  • Sulthon Afzani Universitas Islam Kadiri, Indonesia

DOI:

https://doi.org/10.24256/kharaj.v8i3.11508

Keywords:

Earnings Management, Discretionary Accrual, Leverage, Firm Size, Audit Risk

Abstract

Abstract

 Purpose: This study investigates the firm-level determinants of accrual-based earnings management among Indonesian industrial firms, focusing on leverage, firm size, and their interaction. It hypothesises that leverage positively affects the magnitude of discretionary accruals (H1), firm size negatively affects it (H2), and firm size moderates the relationship between leverage and earnings management  (H3). Methods: Using purposive sampling, the sample comprises 41 industrial-sector firms listed on the Indonesia Stock Exchange over the 2023–2025 period, yielding 123 firm-year observations. Earnings management is proxied by the absolute value of discretionary accruals from the cross-sectional Modified Jones Model. Two nested ordinary least squares models, namely a baseline and a moderation specification, are estimated with year fixed effects and firm-clustered standard errors, with all continuous variables winsorised at the 1st and 99th percentiles. Results: firm size is negatively and marginally associated with discretionary accruals (p = .073), offering modest support for the political cost hypothesis, whereas leverage's main effect is positive but statistically weak. Sales growth emerges as the most robust positive determinant of accrual magnitude, and  the interaction between leverage firm size is positive and marginally significant, indicating amplification rather than attenuation of the relationship for larger firms. Implications: Auditors should treat sales growth as a salient operational risk signal when designing substantive procedures, and regulators may use the evidence to support differentiated audit-risk frameworks. Future research should extend the analysis to multi-sector panels and incorporate real activities manipulation proxies.

References

Becker, C. L., DeFond, M. L., Jiambalvo, J., & Subramanyam, K. R. (1998). The effect of audit quality on earnings management, . Contemporary Accounting Research, 15(1), 1–24.

Colin Cameron, A., & Miller, D. L. (2015). A Practitioner’s Guide to Cluster-Robust Inference. Journal of Human Resources, 50(2), 317–372. https://doi.org/1.3368/jhr.5.2.317

Dechow, P., Ge, W., & Schrand, C. (2010). Understanding earnings quality: A review of the proxies, their determinants and their consequences. Journal of Accounting and Economics, 50(2–3), 344–401. https://doi.org/1.1016/j.jacceco.201.09.001

Dechow, P. M., Sloan, R. G., & Sweeney, A. P. (1995). Detecting earning management. The Accounting Review, 70(2), 193–225.

DeFond, M. L., & Jiambalvo, J. (1994). Debt covenant violation and manipulation of accruals. Journal of Accounting and Economics, 17(1–2), 145–176. https://doi.org/1.1016/0165-4101(94)90008-6

Firth, D. (1993). Bias reduction of maximum likelihood estimates. Biometrika, 80(1), 27–38. https://doi.org/1.1093/biomet/8.1.27

Habib, A., Bhuiyan, Md. B. U., Huang, H. J., & Miah, M. S. (2019). Determinants of audit report lag: A meta‐analysis. International Journal of Auditing, 23(1), 20–44. https://doi.org/1.1111/ijau.12136

IAASB. (2015). International Standard on Auditing 315 (Revised): Identifying and assessing the risks of material misstatement.

IAPI. (2021). Standar Audit 315: Pengidentifikasian dan penilaian risiko kesalahan penyajian material melalui pemahaman atas entitas dan lingkungannya.

Jones, J. J. (1991). Earnings Management during Import Relief Investigations. . Journal of Accounting Research, 29(2), 193–228.

Nalarreason, K. M., T, S., & Mardiati, E. (2019). Impact of Leverage and Firm Size on Earnings Management in Indonesia. International Journal of Multicultural and Multireligious Understanding, 6(1), 19. https://doi.org/1.18415/ijmmu.v6i1.473

Narsa, N. P. D. R. H., Afifa, L. M. E., & Wardhaningrum, O. A. (2023). Fraud triangle and earnings management based on the modified M-score: A study on manufacturing company in Indonesia. Heliyon, 9(2), e13649. https://doi.org/1.1016/j.heliyon.2023.e13649

Peduzzi, P., Concato, J., Kemper, E., Holford, T. R., & Feinstein, A. R. (1996). A simulation study of the number of events per variable in logistic regression analysis. Journal of Clinical Epidemiology, 49(12), 1373–1379. https://doi.org/1.1016/S0895-4356(96)00236-3

Petersen, M. A. (2009). Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches. Review of Financial Studies, 22(1), 435–480. https://doi.org/1.1093/rfs/hhn053

Rivaldo, M. U., & Utaminingsih, N. S. (2026). Do ESG and Earnings Management Influence Audit Opinions? Evidence from Indonesia Mining Sector. Economics Business Accounting & Society Review, 87. https://doi.org/10.55980/ebasr.v5i1.349

Roychowdhury, S. (2006). Earnings management through real activities manipulation. Journal of Accounting and Economics, 42(3), 335–370. https://doi.org/1.1016/j.jacceco.2006.01.002

van Smeden, M., Moons, K. G., de Groot, J. A., Collins, G. S., Altman, D. G., Eijkemans, M. J., & Reitsma, J. B. (2019). Sample size for binary logistic prediction models: Beyond events per variable criteria. Statistical Methods in Medical Research, 28(8), 2455–2474. https://doi.org/1.1177/0962280218784726

Watts, R. L., & Zimmerman, J. L. (1986). Positive Accounting Theory. Prentice-Hall.

Zang, A. Y. (2012). Evidence on the Trade-Off between Real Activities Manipulation and Accrual-Based Earnings Management. The Accounting Review, 87(2), 675–703. https://doi.org/1.2308/accr-10196

Downloads

Published

2026-07-10

How to Cite

Srihastuti, E., & Afzani, S. (2026). Leverage and Earnings Management: Firm Size Moderation in Indonesian Industrial Firms. Al-Kharaj: Journal of Islamic Economic and Business, 8(3). https://doi.org/10.24256/kharaj.v8i3.11508

Citation Check

Similar Articles

<< < 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 > >> 

You may also start an advanced similarity search for this article.