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Financial Analytics: Science and Experience
 

Studying the factors of regional insurance market development using the correlation and regression analysis

Vol. 16, Iss. 2, JUNE 2023

Received: 7 May 2020

Received in revised form: 21 May 2020

Accepted: 4 June 2020

Available online: 30 May 2023

Subject Heading: ECONOMIC AND STATISTICAL RESEARCH

JEL Classification: G22, G38

Pages: 186–204

https://doi.org/10.24891/fc.26.7.1610

Evgeniya L. PROKOP'EVA Khakass Technical Institute, Branch of Siberian Federal University (SibFU), Abakan, Republic of Khakassia, Russian Federation
evgenia-prokopjeva@yandex.ru

https://orcid.org/0000-0002-6818-5780

Subject. The article investigates and quantifies factors of insurance markets functioning in Russian regions, and reveals possibilities to manage them.
Objectives. The purpose of the study is to substantiate regional factors that determine the specifics of regional insurance market development; to quantify them to increase the efficiency of regional insurance.
Methods. The study draws on statistical methods, functional analysis, algorithm development, correlation and regression analysis.
Results. I calculated coefficients of pair and multiple correlation with the indicators of insurance markets in the context of the subjects of the Russian Federation, and composed regression equations. Based on the analysis, I determined the algorithm for inverse effect of the insurance market on the economic, social, fiscal and environmental performance of the region, offered appropriate measures aimed at developing the economic potential of the region and its social sphere.
Conclusions. The paper considers the case of the Republic of Khakassia, one of depressed subjects in the Siberian Federal District. The developed models can be used for other regions of Russia, given the geographical and economic features of development. The findings may help generate regional strategies for socio-economic development at the country level. The scientific contribution and the novelty of the work consist of systematizing and quantifying the factors affecting the insurance mechanisms of regional markets, and assessing the inverse effect of insurance mechanisms on integrated development of the region.

Keywords: regional insurance market, insurance regulation, socio-economic development of region, insurance efficiency, multiple regression equation

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