This article deals with the methodological aspects of planning activities of fish-processing companies depending on environmental temperature based on the example of group of companies “Art-Fish”, Vologda. The method of composing the regression model, which describes daily revenue trend dependence from dynamic of daily environmental temperature as a factor defining the demand for fish and fish products is proposed. The sales revenue forecasts taking into account the impact of daily environmental temperature dynamic and the weekly cycle of fluctuation in sales revenue is received. The results of approbation of this method form the basis of its usage in real conditions during the period of digital economy. This allows us making the informed decision for defining the planning volumes of production output for sales.

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Аннотация. Глобализация экономики и обострение конкуренции обусловливают необходимость активизации Правительством РФ выполнения функций по обеспечению продовольственной безопасности страны и, соответственно, консолидации механизмов государственного регулиро-вания агроэкономики и продовольственных рынков. Возрастает значимость решения задач ин-формационного обеспечения, достижения высокой степени достоверности информации, пред-ставляемой правительству соответствующими статистическими органами. Актуальность получения качественной статистической информации для принятия руководством страны своевременных и компетентных решений по управлению народным хозяйством существенно возросла в период политического и экономического противостояния РФ и стран Запада, в условиях санкций и контр-санкций. В настоящем исследовании на примере отрасли рыболовства и ее продукта -водных биологических ресурсов -проведен структурный анализ методики составления баланса рыбы и рыбопродуктов для определения среднедушевого уровня их потребления; описаны различные подходы к оценке уровня потребления водных биологических ресурсов; структурированы по-казатели экспорта водных биологических ресурсов, полученные из различных официальных источников, на основании которых выявлены значительные расхождения в оценке ситуации. Тема статистического учета, как проблема, была озвучена на состоявшемся 19 октября 2015 года заседании президиума Государственного совета по развитию рыбохозяйственного комплекса РФ и отражена отдельным пунктом в Поручениях Президента по итогам заседания. Введенная Приказом Росстата от 21.10.2013 №419 новая методика определения среднедушевого уровня потребления рыбы и рыбопродуктов, основанная на составлении баланса водных биологических ресурсов и

This study analyzed the current financial and economic state of consumers’ cooperation of rural territories in Russia on the example of the Vologda region. The factors that discourage the consumers’ cooperation organizations development were identified and substantiated. Also, the main problems arising on the way to the digital economy were presented on the example of consumers’ cooperation organizations. An expert opinion on the changes’ influence in the legislation of the Russian Federation on the social and economic activity of consumers’ cooperation organizations was complied. Comparative analysis of break-even retail outlets under different taxation systems was performed. The forecast model of revenue from the consumers’ cooperation organizations sales has been constructed. The research results are of practical importance for making competent managerial decisions in the field of support of consumers’ cooperation organizations.

The basic methodological aspects and approbation results of forecasting and planning of the sales volumes of a fish processing enterprise, depending from a natural and climatic factor (environmental temperature) are considered in the article through the example of the groups of companies “Art-fish” of Vologda city. The dependence of volume of consumer demand for products of the fish processing enterprise from the ambient temperature regime is educed. The methods of building of a regression model between time series of the studied indexes and the order of calculation of forecasting levels of daily revenue are described. The economic model of the dynamic dependence of daily revenue of fish product sales from the average environmental temperature is built. The forecasts of the revenue levels of sales taking into account the dynamics influence of the average daily temperature of the environment and the weekly cycle of its fluctuations are received. The presented methods of modeling and forecasting of the level of daily revenue will allow taking reasonable decisions in practice for evaluation of planned values of product procurement for sale within a short-term upcoming period; that is timely in the conditions of fast-changing consumer market.Purpose was in finding and modeling of the dynamic dependence of daily revenue of sales of the fish-processing enterprise from the fluctuations of the ambient temperature regime and the development of the methods of its forecasting.Materials and methods. As part of the study the methods of econometric modeling were used in complex based on the time series, including the building of the trend models, models with a cyclical component, regression models. The indexes of the operating results of the group of companies “Art-fish” of Vologda city served as the primary data. They were taken from the bases of the mentioned enterprises. The indexes of the temperature regime of the environment were received from the Weather journal of the official website of weather forecast Gismeteo.Results. The research required quite a deep study of the character and peculiarities of the dynamics of the indexes of daily revenue and preparation of the data for modeling. While studying the regularities of interdependent dynamics of the indexes of revenue and environmental temperature the number of important conclusions were received that consequently defined the methods of building of the regression model and the order of calculation of the forecasting levels. The presence of the firm inverse correlation between the trend of the daily revenue and environmental temperature was educed. Herewith the analysis of the results of forecasting using the received models showed that the forecast accuracy, both point and interval with a weakening of the strength of the manifestation of the correlation dependence between the signs does not decrease. According to the results of correlation-regression analysis the methods of forecasting of the levels of daily revenue for fish-processing enterprises were suggested which would allow taking reasonable decisions for evaluation of the planned volumes of product procurement for sale within a short-term upcoming period that was timely in the conditions of a fast-changing consumer market.Conclusion. As the studies showed, consumer demand for the products of fish processing enterprises flexibly responded to the change of the ambient temperature. This fact allowed developing the methodological approaches to the forecasting of the levels of daily revenue that was absolutely necessary for taking reasonable decisions on planning of the volumes of procurement and output of production for a short- term upcoming period. In the contemporary market conditions and uncertainty the possibility to plan production and financial activities for processing enterprises of food industry is especially currently topical.