The Far Eastern Development Program and Effectiveness for Regions: Case-Study Assessment Full article
Journal |
Studies on Russian Economic Development
ISSN: 1075-7007 |
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Output data | Year: 2024, Volume: 35, Number: 2, Pages: 237-245 Pages count : 9 DOI: 10.1134/S1075700724020035 | ||
Tags | the policy and program assessment, documents of strategic planning, synthetic control method (SCM), Far Eastern macroregion, economic development | ||
Authors |
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Affiliations |
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Funding (1)
1 | Министерство науки и высшего образования РФ | 0327-2024-0009 |
Abstract:
The article provides estimation results of the impact of the state program “Socio-economic development of the Far Eastern Federal District” on regional economic growth. The econometric modelling implements synthetic control method (SCM). The research results demonstrate that the state program is more effective in economically developed Russian entities. In the lagging behind regions, which are observed by lesser gross regional product (GRP) per capita, the implementation of the program shows lower efficiency. The results significantly contribute to the existing literature on policy evaluation and allow proposing policy implications for regional policies improvement.
Cite:
Doroshenko S.V.
, Vasileva R.I.
, Litvinets V.P.
The Far Eastern Development Program and Effectiveness for Regions: Case-Study Assessment
Studies on Russian Economic Development. 2024. V.35. N2. P.237-245. DOI: 10.1134/S1075700724020035 Scopus РИНЦ OpenAlex
The Far Eastern Development Program and Effectiveness for Regions: Case-Study Assessment
Studies on Russian Economic Development. 2024. V.35. N2. P.237-245. DOI: 10.1134/S1075700724020035 Scopus РИНЦ OpenAlex
Original:
Дорошенко С.В.
, Васильева Р.И.
, Литвинец В.П.
Государственная программа развития Дальнего Востока и ее эффективность для регионов
Проблемы прогнозирования. 2024. №2 (203). С.113-124. DOI: 10.47711/0868-6351-203-113-124 РИНЦ OpenAlex
Государственная программа развития Дальнего Востока и ее эффективность для регионов
Проблемы прогнозирования. 2024. №2 (203). С.113-124. DOI: 10.47711/0868-6351-203-113-124 РИНЦ OpenAlex
Dates:
Published print: | Apr 9, 2024 |
Identifiers:
Scopus: | 2-s2.0-85190096607 |
Elibrary: | 66841102 |
OpenAlex: | W4394594466 |
Citing:
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