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Financial Analytics: Science and Experience
 

Modeling of State support measures to promote electric vehicles

Vol. 11, Iss. 2, MAY 2018

PDF  Article PDF Version

Received: 2 November 2017

Received in revised form: 4 December 2017

Accepted: 11 December 2017

Available online: 31 May 2018

Subject Heading: ECONOMIC AND STATISTICAL RESEARCH

JEL Classification: Q51, Q58, R15

Pages: 140–153

https://doi.org/10.24891/fa.11.2.140

Iosifov V.V. Kuban State Technological University, Krasnodar, Russian Federation
iosifov_v@mail.ru

ORCID id: not available

Subject This paper deals with the effectiveness of incentive measures of State support on the market of electric vehicles.
Objectives The paper aims to evaluate the quantitative rating of different incentive measures of State support through modeling.
Methods The study applies a correlation-regression analysis, the equality test of two independent samples, and the non-parametric Mann-Whitney test.
Results The paper presents the built models of double linear regression to describe the influence of State subsidies on the purchase of electric vehicles and the influence of the level of development of the charging infrastructure on the market volume of electric vehicles. The results are confirmed through the Mann-Whitney test use.
Relevance The received models can be used for forecasting parameters of the Russian market of electric vehicles with introduction of some government support measures.

Keywords: electromobile, econometric modeling, government incentive, deployment policy

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