Semantic Scholar Open Access 2019 3 sitasi

Audit of taxes and payments with in the context of enterprise performance optimization

M. Luchko A. Zinkevych

Abstrak

The article describes the role of tax payments in generating revenue for the State Budget of Ukraine. The study shows how audit of taxes and fees influences the effectiveness of enterprise performance. The authors emphasize that implementing internal tax audit procedures is important in order to optimize the enterprise’s financial policy. An attempt is made at defining tax optimization and developing a logical framework to enhance the effectiveness of taxation in enterprises. It is pointed out that effective management of tax liabilities involves either creating a tax planning system or performing functions for maintaining tax discipline within integrated management. The factors influencing the quality of audit of taxes and fees in the process of assessing the financial position of economic entities are systematized. Among them are the following: qualification of auditors; engaging highly-skilled specialists; independence and confidentiality of auditor’s assessment; high mobility; accumulated experience in working with financial statements; high level of responsibility. The study offers ways to improve the system of audit of taxes and fees in Ukraine in the context of ensuring effective tax management in enterprises. It is proved that a timely audit of taxes and payments not only reduces tax risks in entrepreneurial activity, but also optimizes tax and accounting policy of the company, because it incorporates current changes in legislative regulation and modern techniques in auditing introduced abroad.

Topik & Kata Kunci

Penulis (2)

M

M. Luchko

A

A. Zinkevych

Format Sitasi

Luchko, M., Zinkevych, A. (2019). Audit of taxes and payments with in the context of enterprise performance optimization. https://doi.org/10.35774/visnyk2019.01.186

Akses Cepat

Lihat di Sumber doi.org/10.35774/visnyk2019.01.186
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Total Sitasi
Sumber Database
Semantic Scholar
DOI
10.35774/visnyk2019.01.186
Akses
Open Access ✓