Evaluation of the efficiency of industrial enterprises

A. Alimkhanova, Artur Alexandrovich Mizel
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Abstract

Objective: To evaluate the efficiency of Russian industrial enterprises based on the stochastic method using financial indicators for 2017-2018. Method: the parametric SFA (Stochastic Frontier Analysis) method based on a stochastic model of the production function is used to assess the efficiency of enterprises. In order to achieve more accurate results, a modification of this method was performed. And also with the help of the developed modified SFA method, the bankruptcy of industrial enterprises of the Russian Federation was predicted on the basis of selected significant financial indicators. 35 bankrupt enterprises and 35 operating enterprises of the same industry were analyzed. Results: As a result of the work done using open sources, you can see how the efficiency of different enterprises in the same industry changes over several years. Conclusion: This study suggests the ability to use the Stochastic Frontier Analysis method and its modification on the studied data in the process of monitoring the dynamics of the efficiency of enterprises both bankrupt and operating. Such an assessment of efficiency can be recommended to other sectors of the economy.
工业企业效率评价
目的:利用2017-2018年财务指标,基于随机方法对俄罗斯工业企业效率进行评价。方法:采用基于生产函数随机模型的参数化SFA(随机前沿分析)方法对企业效率进行评价。为了获得更准确的结果,对该方法进行了改进。并利用所开发的改进的SFA方法,在选取重要财务指标的基础上对俄罗斯联邦工业企业的破产进行了预测。对35家破产企业和35家同行业经营企业进行了分析。结果:由于使用开源完成的工作,您可以看到同一行业中不同企业的效率在几年内是如何变化的。结论:本研究表明,在对破产企业和经营企业的效率动态监测过程中,可以使用随机前沿分析方法及其对研究数据的修正。这种效率评估可以推荐给其他经济部门。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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