The impact of financial support for industrial companies on the main indicators of their activities

Subject. The article deals with financial support to the manufacturing industry at the federal and regional levels. Financial support measures are defined as the most-coveted by companies, and the largest demand is for subsidies. Objectives. The purpose is to explore whether the financial support through subsidizing has an impact on the main performance indicators of recipients, such as revenue, net profit, and number of employees, in the year of support and in the following year. Methods. The study employs general scientific research methods. The main data sources were the Unified Register of Small and Medium-Sized Enterprises as subsidy recipients, and the SPARK information resource. Results. I analyzed the performance of companies that received grant support and those that did not. The comparative analysis showed that the dynamics of key performance indicators of the former was higher. At the same time, in the year after receiving support, the difference in the growth rate of key performance indicators increases, which may indicate a delayed effect for the next year in the growth of net profit. Conclusions. The State financial incentives policy for organizations to spend on the purchase of equipment or business development is justified and appropriate due to higher growth rates of key performance indicators of organizations that received the support.

Authors

Institutions

Publication Details

Journal
Economic Analysis Theory and Practice
Published
2025-02-13
DOI
https://doi.org/10.24891/ea.24.2.103
Citations
1
Primary Topic
Economic Issues in Ukraine
Type
article
Field-Weighted Citation Impact
3.09
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of financial support for industrial companies on the main indicators of their activities

Mikhail S. MALINSKII
1 citations
Economic Analysis Theory and Practice
Economic Issues in Ukraine
3.09
article

The impact of financial support for industrial companies on the main indicators of their activities

Mikhail S. MALINSKII
article en
1 citations

Abstract

Subject. The article deals with financial support to the manufacturing industry at the federal and regional levels. Financial support measures are defined as the most-coveted by companies, and the largest demand is for subsidies. Objectives. The purpose is to explore whether the financial support through subsidizing has an impact on the main performance indicators of recipients, such as revenue, net profit, and number of employees, in the year of support and in the following year. Methods. The study employs general scientific research methods. The main data sources were the Unified Register of Small and Medium-Sized Enterprises as subsidy recipients, and the SPARK information resource. Results. I analyzed the performance of companies that received grant support and those that did not. The comparative analysis showed that the dynamics of key performance indicators of the former was higher. At the same time, in the year after receiving support, the difference in the growth rate of key performance indicators increases, which may indicate a delayed effect for the next year in the growth of net profit. Conclusions. The State financial incentives policy for organizations to spend on the purchase of equipment or business development is justified and appropriate due to higher growth rates of key performance indicators of organizations that received the support.

Economic Analysis Theory and PracticeVol. 24(2)
The Russian Presidential Academy of National Economy and Public Administration (RU)
Openalex Percentile: Top 13%
Economic Issues in Ukraine
3.09
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.