改革俄罗斯会计:历史,当前的挑战和前景

IF 1.9 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Intelligenza Artificiale Pub Date : 2021-05-14 DOI:10.24891/IA.24.5.524
T. Druzhilovskaya
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引用次数: 6

摘要

主题。本文主要论述了俄罗斯会计的发展历程、存在的问题以及今后的发展前景。本文旨在研究俄罗斯会计改革的成果,识别其当前面临的挑战,并证明进一步发展的前景。在研究中,我采用了批判性分析、综合、比较、观察和模拟的方法。本文叙述了俄罗斯从市场经济转轨至今会计制度改革的各个阶段,以及现阶段俄罗斯会计制度改革的成果和值得关注的问题。它显示了俄罗斯会计准则采用的趋势,并提出了有利于俄罗斯会计准则体系进一步发展的有希望的路线的论点。结论和相关性。自俄罗斯开始向市场经济过渡以来,俄罗斯会计的演变以采用新会计准则的强度不同的阶段为特征。俄罗斯会计改革的结果表明,既有重大成就,也有值得关注的领域。俄罗斯会计进一步改革的未来方向应该是消除其目前的问题。所得结果在财务会计领域具有实际应用和理论应用的意义。
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Reforming Russian accounting: The history, current challenges, and prospects
Subject. This article focuses on the evolution, current problems and prospects for further development of Russian accounting. Objectives. The article aims to study the results of the reform of Russian accounting, identify its current challenges, and justify the prospects for further development. Methods. For the study, I used critical analysis, synthesis, comparison, observation, and the analog approach. Results. The article describes the stages of reforming Russian accounting since the beginning of Russia's transition to the market economy to the present day, and the achievements and areas of concern of the system of regulation of Russian accounting at the current stage of its development. It shows trends in the Russian Accounting Standards adoption, and it advances arguments in favor of promising lines for further development of the Russian Accounting Standards system. Conclusions and Relevance. The evolution of Russian accounting since the beginning of Russia's transition to a market economy has been characterized by stages varying in the intensity of adoption of new accounting standards. The results of the reform of Russian accounting show the existence of both significant achievements and areas of concern. The future direction of further reform of Russian accounting should be the elimination of its current problems. The results obtained have both applied and theoretical spheres of application in the field of financial accounting.
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来源期刊
Intelligenza Artificiale
Intelligenza Artificiale COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
3.50
自引率
6.70%
发文量
13
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