基于会计职业判断的战争对农业经营直接损害的认定

V. Zhuk, Yevheniia Popko, S. Ostapchuk
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引用次数: 0

摘要

农业经营是以利用自然环境的组成部分(农业用地、生物资产、水资源)和固定资产(农房、农业机械等)为基础的。这些设施的损坏是对农业企业的直接损害,应作为影响经济活动的不可抗力因素入账。记录企业的商业交易是会计的职责。因此,在管理人员中,他能够根据自己的专业判断,仔细记录因武装侵略对农业企业造成的直接损害。本文的目的是在会计专业判断的基础上,为解决俄罗斯联邦武装侵略对农业企业造成的直接损害提供组织和系统的支持。在乌克兰,为了修复对企业的直接物质损害,已经启动了几个国家资源。向这些数据库提交信息需要农业企业的会计服务:进行清查,并强制录像和拍照,以确定由于乌克兰境内敌对行动造成的农业企业财产损失、损坏、盗窃、损坏或毁坏的事实;确定因盗窃、短缺、毁坏(损坏)财产而造成的损失数额。本文揭示了这些程序的方法,并给出了将收集到的数据下载到“俄罗斯将支付”项目数据库(https://damaged.in.ua)的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fixation of Direct Damage to Agrarian Business due to War, Based on the Accountant’s Professional Judgment
Agricultural business is based on using components of the natural environment (agricultural land, biological assets, water resources) and fixed assets (farm buildings, agricultural machinery and others). The damage caused to these facilities is direct damage to agricultural enterprises, so it should be recorded as a force majeure factor affecting economic activity. Documenting business transactions at the enterprise is the responsibility of the accountant. Therefore, among the management staff, he is able based on his professional judgment, to carefully record the direct damage caused to agricultural enterprises due to armed aggression. The purpose of the article is to develop organizational and methodical support for fixing the direct damage caused to agricultural enterprises due to the armed aggression of the Russian Federation based on the professional judgment of the accountant. In Ukraine, to fix the direct material damage to businesses, several state resources have been launched. Submission of information to these databases requires from the accounting service of the agricultural enterprise: conducting an inventory with mandatory video and photo recording to establish the facts of loss, damage, theft, damage or destruction of property of the agricultural enterprise due to hostilities in Ukraine; determining the amount of damage from theft, shortage, destruction (damage) of property. The article reveals the methods of these procedures and presents the algorithm for downloading the collected data to the database of the project “Russia will pay” (https://damaged.in.ua).
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