Purpose

This paper aims to undertake the efficiency analysis in the form of stochastic frontier to estimate a Cobb–Douglas production function by controlling for the heterogeneity across Russian firms by including firm size, ownership, age, innovation activity and market competition.

Design/methodology/approach

During the peak period of Covid-19, certain firms witnessed either a decrease or increase in sales. Using this segregation of firms from World Bank’s Covid-19 impact surveys follow-up to the Enterprise Survey for Russia, this study empirically investigates the determinants of technical efficiency of these firms focusing on the role of government assistance.

Findings

The findings suggest that by segregating firms in terms of sales, different internal factors can enable in steering through pandemic situation besides just depending on external assistance.

Originality/value

One of the few papers to analyse the impact of the pandemic on Russian firms by considering World Bank Covid Survey.

中文翻译：

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俄罗斯公司的 Covid-19 大流行和技术效率：一种随机前沿生产函数方法

目的

本文旨在通过控制俄罗斯企业的异质性，包括企业规模、所有权、年龄、创新活动和市场竞争，以随机前沿的形式进行效率分析，以估计 Cobb-Douglas 生产函数。

设计/方法/方法

在 Covid-19 的高峰期，某些公司的销售额要么下降，要么增加。本研究利用世界银行 Covid-19 影响调查对俄罗斯企业调查的后续行动中的公司隔离，实证调查了这些公司技术效率的决定因素，重点关注政府援助的作用。

发现

研究结果表明，通过在销售方面对公司进行隔离，除了仅仅依靠外部援助之外，还可以通过不同的内部因素来应对大流行情况。

原创性/价值

通过考虑世界银行 Covid 调查来分析大流行对俄罗斯公司的影响的少数论文之一。