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ЭКОНОМИЧЕСКИЕ,
ФИЗИКО-МАТЕМАТИЧЕСКИЕ НАУКИ:
5.2.2. Математические, статистические и инструментальные методы в экономике

ЭКОНОМИЧЕСКИЕ НАУКИ:
5.2.4. Финансы
5.2.5. Мировая экономика
5.2.6. Менеджмент

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Modeling the Efficiency of the State Aid to the Development of Electric Vehicles

т. 23, вып. 2, июнь 2018

PDF  PDF-версия статьи

Получена: 02.11.2017

Получена в доработанном виде: 04.12.2017

Одобрена: 11.12.2017

Доступна онлайн: 30.06.2018

Рубрика: RISK, ANALYSIS AND EVALUATION

Коды JEL: Q51, Q58, R15

Страницы: 133–141

https://doi.org/10.24891/df.23.2.133

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

ORCID id: отсутствует
SPIN-код: отсутствует

Importance This paper deals with the efficiency of governmental incentives to the market of electric vehicles.
Objectives The paper aims to quantify different governmental incentives through modeling.
Methods The study applies a correlation-regression analysis, test for equality of means for two independent samples, and the Mann-Whitney test.
Results The paper provides models of paired linear regression to describe how governmental subsidies for purchase of electric vehicles (EV) and EV charging infrastructure level influence the EV market volume. Based on the test for equality of means, I found out that preferential parking rates, access to public transport lanes and restricted driving zones, tax credits on EV purchase and preferential electric power supply tariff have no statistically significant impact on the annual EV market volume and EV dissemination. The results were verified through the Mann–Whitney test.
Conclusions and Relevance The received models can be used to forecast parameters of the Russian EV market provided that some governmental incentives are in place.

Ключевые слова: electric vehicle, econometric modeling, government incentive, deployment policy

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