EV Market Analysis Using Python and SQL

Kajal Darbe

Title:
EV Market Analysis Using Python and SQL

Authors:
Kajal Darbe

Cite This Article :

Kajal Darbe "EV Market Analysis Using Python and SQL" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Innovations in Computer Science and Applications, April 2026, pp.242-249, URL: https://www.ijtsrd.com/papers/ijtsrd101434.pdf

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Abstract :
I design a structural model of demand for electric vehicles and the supply of a pub lic charging infrastructure by forward-looking local planners. Using Canadian data, I study the cost-effectiveness of electric vehicle incentives in this context. Subsidizing electric vehicle purchases almost doubled adoption in Quebec but had only a small impact on network provision. I conduct a rigorous cost-benefit analysis to study the environmental performance of Quebec’s rebate program. I find that the marginal abate ment cost of emissions is substantially higher than the social cost of carbon, suggesting that policymakers in Quebec over-invested on electric vehicle incentives.

Keywords :
Electric Vehicles, EV Market Analysis, Data Analytics, Python, SQL, Time Series Analysis, Trend Analysis, Data Visualization, Predictive Modeling, Sustainable Transportation

Publication Details:

Unique Identification Number : IJTSRD101434

Published In : Special Issue | Innovations in Computer Science and Applications, April 2026

Page Number(s) : 242-249

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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