对俄罗斯潜在电动汽车市场和减少温室气体排放效果的预测评估

IF 0.7 Q3 ECONOMICS
Nelly S. Kolyan, Alexander E. Plesovskikh, Roman V. Gordeev
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引用次数: 0

摘要

近几十年来,全球采用替代燃料汽车,由于使用替代能源,可能有助于减少碳排放,这引起了人们的特别兴趣。尽管俄罗斯有大量关于电动汽车采用的科学文献,但论文中使用的方法缺乏对俄罗斯市场潜力的定量估计。本文旨在填补这一空白,因为它提供了一个长期的电动汽车市场预测在俄罗斯以及评估对环境的影响。对以下假设进行了检验:(1)Bass模型适用于预测俄罗斯电动汽车的长期扩散过程;(2)向电动汽车的过渡将对温室气体减排产生显著影响。Bass模型是一种广泛应用于创新扩散过程预测的工具,为本研究提供了方法论基础。对俄罗斯电动汽车车队的长期预测包括几种情况。最现实的情况是,到2060年,俄罗斯电动汽车市场预计将增长至562万辆。此外,还确定了与电动汽车采用相关的环境影响。考虑了能源生产结构变化的两种情况。预计碳减排可达1408万吨co2当量。如果加速向低碳能源转型,基线情景表明二氧化碳当量为1286万吨。减少碳排放。对俄罗斯的运输扩散以及与此过程相关的环境影响的估计构成了本研究的理论价值。该研究的实际意义表明,在实施措施以实现俄罗斯联邦到2050年以低水平温室气体排放的社会和经济发展战略中所述目标的同时,可以利用开发电动汽车需求预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predictive Assessment of the Potential Electric Vehicle Market and the Effects of Reducing Greenhouse Gas Emissions in Russia
In recent decades, the global adoption of alternative fuel vehicles, which may contribute to carbon emission reduction due to the use of alternative energy sources has stirred particular interest. Despite a significant body of scientific literature in Russia about electric vehicle adoption, the approaches used in papers lack quantitative estimates of the Russian market's potential. This paper aims to fill this gap as it provides a long-term electric vehicle market forecast in Russia as well as assesses the environmental effects. The following hypotheses are tested: (1) the Bass model is applicable to predict the long-term electric vehicle diffusion process in Russia; (2) the transition to electric cars will have a significant impact on greenhouse gas emission reduction. The Bass model, a widely used tool for predicting the innovation diffusion process, serves as a methodological base for the research. The long-term forecast of the Russian electric car fleet includes several scenarios. The most realistic scenario suggests that the Russian electric vehicle market is estimated to grow, reaching 5.62 million units by 2060. Furthermore, the environmental effects associated with electric vehicle adoption were identified. Two scenarios for changes in the energy generation structure were taken into consideration. The expected carbon emission reduction is estimated to reach 14.08 million tons in CO2-eq. if an accelerated transition to low-carbon energy sources is implemented, the baseline scenario suggests 12.86 million tons in CO2-eq. carbon emission reduction. The estimates of the transport diffusion in Russia as well as of environmental effects associated with this process form the theoretical value of the study. The practical significance of the study suggests developing electric vehicle demand forecasts that might be utilized while implementing measures to achieve goals stated in the Strategy of Social and Economic Development with a Low Level of Greenhouse Gas Emissions until 2050 in the Russian Federation.
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CiteScore
2.40
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