Improving digital services and algorithms for planning subsidies in the agricultural sector

¹ Penza State University, Institute of Economics and Management, 440026 Penza, Russia
² К. G. Razumovsky Moscow State University of technologies and management (the First Cossack University), 109004 Moscow, Russia
³ Eurasian National University named after L. N. Gumilyov, 010008 Astana, Kazakhstan

^* Corresponding author: vekont82@mail.ru

Abstract

The paper addresses the issue of developing methodological support for digital platforms and services in the field of strategic planning for the resource provision of the agricultural economy. It is shown that the methodological apparatus embedded in software complexes makes it difficult to justify the required amount of financial resources for expanded (simple) reproduction and does not make it possible to identify the amount of budget funds for the effective functioning of agriculture. The authors have developed a methodology for planning subsidies to support agriculture, the essence of which lies in calculating, in the first stage, the level of financial results that create conditions for the expand-ed reproduction of agricultural resources. In the second stage, the calculation considers the volume of proprietary and budgetary funds, considering their effective utilization, to achieve the required level of financial results. The calculation scheme based on this methodology became the fundamental basis of the algorithm embedded in the development of a software module for determining support to agricultural product manufacturers. The application development was carried out using modern methods of functional modelling and applied programming. The functionality of the software is designed for inputting initial data and outputting results based on the principle of balanced reconciliation of indicators such as activity profitability, producers’ in-come, workers’ wages, and subsidy volume. The research results are aimed at improving the decision support system for strategic subsidization of agriculture and developing recommendations for management bodies to integrate it as a software block into the digital services information system of the APC being developed by the Ministry of Agriculture of the Russian Federation.