摩洛哥电动汽车市场预测的扩散模型

Soumia Ayyadi, M. Maaroufi
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引用次数: 19

摘要

今天,世界上许多国家都采用了电动汽车(ev)来减少空气污染、石油消耗和对化石燃料的依赖。摩洛哥是一个致力于可持续发展的国家,特别是其运输部门依赖石油,而石油完全从国外进口。从这个意义上说,本文的目的是通过Gompertz, Logistic和Bass三个模型来预测电动汽车在摩洛哥市场的扩散。然后根据r平方和平均绝对百分比误差(MAPE)选择最适合我们数据的模型。此外,我们还利用广义低音扩散模型评估了电动汽车累计销量与电池价格之间的相互作用。结果表明,摩洛哥市场电动汽车销量达到最大值,电池成本对市场扩散影响较大,电池价格的降低可以加速电动汽车市场的扩散。
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Diffusion Models For Predicting Electric Vehicles Market in Morocco
Today many countries around the world have adopted Electric Vehicles (EVs) to reduce air pollution, oil consumption and fossil fuel dependence. Morocco is one of these sustainability based committed countries, especially that its transport sector depends on oil, which is entirely imported from outside of the country. In this sense, the aim of this paper is to predict the diffusion of EVs in Moroccan market by three models Gompertz, Logistic and Bass. Then the best model that fits well our data is chosen, based on R-square and the Mean Absolute Percentage Error (MAPE). In addition, we have assessed the interaction between the cumulative sales of EVs and the battery price, using the Generalized Bass Diffusion Model. Results show that the Moroccan market reaches the maximum sales of EVs, after 14 years and the battery cost has a great effect on the market diffusion, a decreasing of the battery price could accelerate the diffusion of EVs market.
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