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http://elar.urfu.ru/handle/10995/130603
Название: | Electric Car Market Analysis Using Open Data: Sales, Volatility Assessment, and Forecasting |
Авторы: | Pelegov, D. V. Chanaron, J. -J. |
Дата публикации: | 2023 |
Издатель: | MDPI |
Библиографическое описание: | Pelegov, DV & Chanaron, J 2023, 'Electric Car Market Analysis Using Open Data: Sales, Volatility Assessment, and Forecasting', Sustainability, Том. 15, № 1, 399. https://doi.org/10.3390/su15010399 Pelegov, D. V., & Chanaron, J. (2023). Electric Car Market Analysis Using Open Data: Sales, Volatility Assessment, and Forecasting. Sustainability, 15(1), [399]. https://doi.org/10.3390/su15010399 |
Аннотация: | In the context of the growing popularity of electric cars, it is important to track the sustainability of this emerging industry. This work presents the results of electric vehicle sales up to and including 2021, proposes volatility assessment and short-term forecasting using normalized monthly sales analysis, and discusses why quantitative long-term forecasting is impossible. In cases where authorities and regulators are the main driving forces of change, the electric car market does not need forecasting, but instead requires proper goal setting and timely published market data with open access. © 2022 by the authors. |
Ключевые слова: | ELECTRIC VEHICLES ELECTROMOBILITY FORECASTING GOALSETTING GOVERNMENTAL POLICY ASSESSMENT METHOD ELECTRIC VEHICLE FORECASTING METHOD GOVERNMENT MARKET SYSTEM REGULATORY APPROACH |
URI: | http://elar.urfu.ru/handle/10995/130603 |
Условия доступа: | info:eu-repo/semantics/openAccess cc-by |
Текст лицензии: | https://creativecommons.org/licenses/by/4.0/ |
Идентификатор SCOPUS: | 85146024701 |
Идентификатор WOS: | 000908541800001 |
Идентификатор PURE: | 33318056 |
ISSN: | 2071-1050 |
DOI: | 10.3390/su15010399 |
Сведения о поддержке: | Ministry of Science and Higher Education of the Russian Federation: FEUZ-2020-0054 This work was performed within the Ministry of Science and Higher Education of the Russian Federation State Task FEUZ-2020-0054. |
Располагается в коллекциях: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
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2-s2.0-85146024701.pdf | 1,98 MB | Adobe PDF | Просмотреть/Открыть |
Лицензия на ресурс: Лицензия Creative Commons