INVESTIGATION OF THE DYNAMICS OF RETAIL TRADE TURNOVER AND PUBLIC CATERING IN MOSCOW IN THE CONDITIONS OF TURBULENCE OF THE EXTERNAL ENVIRONMENT

N. M. Suray, I. M. Tatochenko, N. V. Ponomareva
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Abstract

The article examines the dynamics of retail trade and catering turnover in the largest metropolis of Russia — Moscow. The authors found that both indicators respond quickly and clearly to changes in the external environment. Based on the analysis of time series of 2015–2022 indicators, the disturbing effect of economic sanctions, the Covid-19 pandemic, as well as a special military operation is estimated. The high ability of economic indicators to recover quickly (within a year) after the cessation of disturbing influences has been confirmed. Using the correlation matrix method, close relationships between the variables of time, average salary, retail trade turnover and catering were revealed. Regression equations linking these variables are obtained, after which the effect of retail and catering turnover growth caused by an increase in wages is quantified. The obtained regression equations can be used to predict the values of the considered variables on the horizon the lead time is 2–3 years. The growth of the turnover of Moscow public catering is ensured thanks to the development of the social nutrition system. With its further development, it is advisable to adjust the assortment policy, focusing on a broader offer of dairy products to visitors, since their consumption by Russians has not yet reached the rational norm.
对外部环境动荡条件下莫斯科零售业营业额和公共餐饮业的动态调查
文章研究了俄罗斯最大的大都市莫斯科的零售贸易和餐饮营业额的动态。作者发现,这两项指标对外部环境的变化做出了迅速而明确的反应。 根据对 2015-2022 年指标时间序列的分析,估计了经济制裁、Covid-19 大流行病以及特别军事行动的干扰效应。经济指标在干扰影响停止后迅速(一年内)恢复的高能力得到了证实。利用相关矩阵法,揭示了时间、平均工资、零售业营业额和餐饮业等变量之间的密切关系。得出了连接这些变量的回归方程,然后量化了工资增长对零售业和餐饮业营业额增长的影响。所得到的回归方程可用来预测所考虑的变量在 2-3 年内的价值。莫斯科公共餐饮业营业额的增长得益于社会营养体系的发展。随着社会营养体系的进一步发展,应该调整产品种类政策,重点向游客提供更多的乳制品,因为俄罗斯人对乳制品的消费还没有达到合理的标准。
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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