On the Measures of State Support for Priority Industries in the Donetsk People’s Republic
Abstrak
State support of industry is a purposeful impact of state authorities and local self-government on industrial facilities for their development, taking into account the set goals through the purposeful impact of legal, economic and organizational measures. Identification of measures of state support for priority areas of industrial development, which are aimed at implementing positive structural transformations in industry, at ensuring the solution of key tasks of social and economic development, is the most important task of the formation and implementation of industrial policy. Practice shows that the process of identifying measures of state support for priority sectors of industrial development is complex and requires overcoming institutional barriers. For the progressive development of industry, increasing competitiveness, increasing labor productivity and production efficiency, appropriate conditions and factors that form the basis for the formation and implementation of industrial policy are necessary. Due to the circumstances, the Donetsk People’s Republic is developing taking into account a very limited amount of resources. In this regard, the issue of identifying state support measures for priority areas of industrial development is at the forefront. The article examines the economic content and proposes a structural model of state support for industry. The forms and methods of state support of industry are considered. Relevant proposals and recommendations have been developed, taking into account the entry of the DPR into the Russian Federation, on measures of state support for priority areas of industrial development in the Donetsk People’s Republic. The purpose of the work is to define the concept of «state support» and identify measures of state support for priority industries in the Donetsk People’s Republic.
Penulis (2)
Lidiya I. Tarash
Roman A. Golodnyuk
Akses Cepat
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Cek di sumber asli →- Tahun Terbit
- 2023
- Bahasa
- en
- Total Sitasi
- 1×
- Sumber Database
- Semantic Scholar
- DOI
- 10.29025/1994-7720-2023-1-160-169
- Akses
- Open Access ✓