Payroll Fund Formation at Manufacturing Enterprises: Accounting and Analytical Aspect

Authors

DOI:

https://doi.org/10.58423/2786-6742/2025-9-233-243

Keywords:

wage fund, factors of influence, retrospective and prospective analysis, mathematical model, forecasted value of the wage fund, analytical accounting

Abstract

The article is devoted to the study of issues related to the formation, forecasting of the wage fund (WF) and its accounting support in manufacturing enterprises. The article considers the regulatory and legal aspects of labor remuneration regulation in Ukraine, identifies the use of various terms to characterize accrued wages. Approaches to determining the essence of the WF, its structure and factors influencing its formation are analyzed. Special attention is paid to the analysis of the WF as a tool for managing labor costs. The main directions of the WF analysis are considered, including the analysis of its total volume, dynamics, structure, level and dynamics of average wages, factors that caused changes in the WF volume, the effectiveness of staff incentives and the assessment of the company's financial capabilities. The expediency of prospective WF analysis, which allows developing plans for personnel cost management, optimizing the WF structure, managing risks, increasing the company's competitiveness and making informed management decisions, is substantiated. The use of the index method for WF forecasting is proposed, which allows taking into account the impact of external and internal factors on wages. Mathematical models for short-term WF forecasting of workers, employees and the company's employees as a whole are developed. The issues of information support for WF analysis and forecasting are considered. A detailed model of analytical accounting of labor remuneration is proposed, which allows obtaining the necessary information for conducting a prospective WF analysis. It is determined that analytical accounting is an important tool for prospective WF analysis, and the proposed approach to its construction provides detailed information that allows forecasting future changes in the WF volumes.

Author Biography

Alla Moskovchuk, Lutsk National Technical University

Candidate of Economic Sciences, Associate Professor

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Published

2025-06-25