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