Evaluating the digitalization potential of agro-industrial sector of Russia

Elmov, V; Ivanov, Evgeniy; Makushev, Andrey E.

doi:10.1088/1755-1315/935/1/012036

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…Проблему достижимости целей хозяйственных и политических решений позволяет обосновывать использование методов математического программирования [20]. В рамках цифровой экономики рассматривается переформатирование использования расчетов в онлайн-системах, что позволиет расширить возможности математических моделей и внедрить информационные технологии в аналитический процесс [21][22][23], увеличить инновационность сельскохозяйственных организаций [24,25].…”

Section: введение / Introductionunclassified

Developing an economic model for automated calculations for small agriculture business concept

Elmov

Filippova²,

Makushev³

et al. 2023

Agrarnaâ nauka

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Relevance. According to Rosstat, for 2021 share of small agribusiness in the gross harvest of potatoes was 77.8%, vegetables — 71.6%, in production of raw milk — 43.8%, livestock and poultry (in live weight) — 21.9%. However, according to the 2021 census, compared to 2016, the number of small businesses in Russia decreased by an average of 25%. The number of agricultural organizations that are not small businesses increased by 26.3% over the specified period. In order to support small agribusiness, the authors have developed an economic model for calculating the profitability of business concepts for these categories of farms, aimed at automating the assessment of the effectiveness of doing business and investment.Methods. To build the concept of calculations, methods of comparative, statistical analysis, economic and mathematical approach were used. To implement the methodology for calculating the profitability, the basic algorithms of financial mathematics and the functions of the financial category built into the spreadsheet processor MS Excel were used.Results. The model allows to evaluate the cost of investments, credit funds; plan the number of staff; recalculate financial results taking into account the use of loans and subsidies; calculate taxes. In order to test the model, an assessment was made of the effectiveness of investing in dairy cattle breeding in the Chuvash Republic. The model was run 88 times to calculate the payback period for investments in the construction and launch of a dairy farm with a population of 250 head in the main herd with different productivity of cows and applied state support. According to the results of calculations, with an average and high productivity of cows (6500–9000 kg), taking into account the use of the main areas of subsidizing the industry available in the republic, the return on investment can come in 4 years.

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Section: введение / Introductionunclassified

Developing an economic model for automated calculations for small agriculture business concept

Elmov

Filippova²,

Makushev³

et al. 2023

Agrarnaâ nauka

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show abstract

“…По данным Всероссийской сельскохозяйственной переписи 2016 года (ВСХП-2016), на долю хозяйств населения России приходилось 9,0 % общей площади сельскохозяйственных угодий и 35,4 % валового производства продукции сельского хозяйства [1]. По Чувашской Республике эти показатели еще выше [2].…”

Section: постановка проблемы (Introduction)unclassified

Comparing the Performance of dairy farming by households and self-employed people based on a project business model

Elmov

Filippova²

2023

Agrarian Bulletin of The

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Abstract. The purpose. The level of marketability of milk in the households of the population of some subjects of the Volga Federal District from 2011 to 2021 increased by more than 20 p. p. The leader in this rating was the Chuvash Republic with the marketability of milk in the households of the population in 2021 at the level of 77.5 %. In connection with the high involvement of the population in the organized market for the sale of milk, the authors developed an economic and mathematical model for calculating the level of efficiency of dairy cattle breeding in the households of the population under various conditions and sizes of their management, and also adapted this model to calculate the efficiency of the farmers of the Chuvash Republic. Methods. The developed economic and mathematical model is built according to the structure of the economic model for automating the calculations of business concepts of small agribusiness, presented in an earlier work of the authors with adaptation to the activities of households. Scientific novelty. The work allows you to establish the most optimal options for dairy cattle breeding, depending on the objectives of management: optimization or expansion of production. Results. According to the results of the calculations, it was found that the most effective and stimulating for the development of management is the option of switching the agrarian to the payment of NAP and the use of state support provided for the self-employed. The larger the farm and the more investments the agrarian plans to make, the greater the return on state support will be. The amount of profitability in some cases exceeds 100 %. However, it is necessary to take into account the expediency of raising funds based on common sense, and not just in terms of mathematical calculations.

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Study of global hops trade and determination of russia's role in the product turnover

Afanasyeva¹,

Ivanov²,

Makushev

2023

Agrarian Bulletin of The

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Abstract. The purpose of the work is the studies the world trade in hops and hop products in order to establish the structure of the main shipped products, to identify world market leaders by product type, prevailing world prices and their dynamics over the past five years. Methods. The calculations were carried out by the methods of statistical analysis according to Russian and international official Internet resources. Scientific novelty. The work made it possible to form a list of types of hops and hop products, which are the most important goods imported into Russia and constitute the main burden of foreign hop supplies in domestic imports; to determine the price difference between the importation of products from abroad to Russia and the average prices for their sale in international markets by country, which became the beginning of forecasting potential new suppliers of products. Results. The global hop growing market is mostly represented by crushed and pelleted hop cones (according to 2021 data, they accounted for 60.6 % of the total structure of world exports). It is this product that is predominant in the import of hops in Russia (73.8 % of imports according to data for 2021). The main exporters of these products to Russia were such countries as Germany (64.2 % of Russian imports), Belarus (13.5 %) and the USA (10.5 %). Imported products from the USA were the most expensive for Russia - $24,927/t, shipments from Belarus were the cheapest - $3,563/t. At the same time, shipping prices from the US to Russia are 26 % higher than the average prices for all US exports ($19,821/t). Germany exported products to Russia at a price of USD 10,749/t, which is 7.3 % lower than the average prices of all shipments in the country. Prices for hops from China (6,890 USD/t) and Poland (7,817 USD/t) for Russia are also noticeably lower compared to the cost of shipments of products by counterparties in other countries.

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Evaluating the digitalization potential of agro-industrial sector of Russia

Cited by 7 publications

References 24 publications

Developing an economic model for automated calculations for small agriculture business concept

Developing an economic model for automated calculations for small agriculture business concept

Comparing the Performance of dairy farming by households and self-employed people based on a project business model

Study of global hops trade and determination of russia's role in the product turnover

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