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Regional Economics: Theory and Practice
 

Special economic zone efficiency factors given Russia's circumstances

Vol. 22, Iss. 5, MAY 2024

Received: 19 October 2023

Received in revised form: 13 December 2023

Accepted: 10 February 2024

Available online: 16 May 2024

Subject Heading: INNOVATION AND INVESTMENT

JEL Classification: R15, R53, R58

Pages: 916–940

https://doi.org/10.24891/re.22.5.916

Roman M. MEL'NIKOV Institute of Public Administration and Civil Service (IPACS), RANEPA, Moscow, Russian Federation
rmmel@mail.ru

https://orcid.org/0000-0001-6335-2458

Ekaterina G. GRIGOROVA Institute of Public Administration and Civil Service (IPACS), RANEPA, Moscow, Russian Federation
e.katerinapetrischeva@yandex.ru

https://orcid.org/0000-0002-8959-6503

Subject. This article discusses the importance of special economic zones in solving problems related to attracting investors, supporting regions of concern, and creating regional growth poles.
Objectives. The article aims to consider the impact of economic and geographical location, characteristics of the region of base, the investment policy implementation quality, and the level of tax burden on the efficiency of Russian special economic zones.
Methods. For the study, we used the Data Envelopment Analysis (DEA) technique, and a regression analysis.
Results. The article presents the results of the analysis of the effectiveness of budget investments in the infrastructure of various special economic zones in Russia.
Conclusions. The quality of the implementation of the regional investment policy has the most significant impact on the success of the development of special economic zones. Improving the methodology for assessing the effectiveness of special economic zones requires the collection and use of information on the results of scientific, technical and innovative activities of residents, taking into account the practices of the Ministry of Science and Technology of China.

Keywords: special economic zone, infrastructure, public investments, investment policy, Data Envelopment Analysis (DEA)

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