Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 22, 2023


Pages


DOI

Article

A Study on the Impact of Low-Carbon Policies on New Energy Vehicle Marketing in the Age of Artificial Intelligence

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Authors

Xudong Li Affiliation:
Chongqing Jiaotong University, Chongqing, 400074, China.
, Shoukui He Affiliation:
Chongqing Jiaotong University, Chongqing, 400074, China.
, Bo Wang Affiliation:
Chongqing Jiaotong University, Chongqing, 400074, China.
and Weiwen Ma Affiliation:
Chongqing Jiaotong University, Chongqing, 400074, China.


Abstract

The country’s low-carbon policy makes the new energy industry vigorously promoted, and at the same time, the addition of artificial intelligence technology also makes the new energy and traditional fuel vehicles pull apart. This paper decomposes the influencing factors of transportation carbon emission by measuring the energy saving and emission reduction of transportation of new energy vehicles, using the extended Kaya constant equation of transportation carbon emission and the generalized Fisher index method. From the government subsidies and tax incentives in low carbon policies, the impact of policies on the performance of new energy vehicle enterprises is explored by analyzing the empirical regression results. The results show that the correlation coefficients of financial subsidies and enterprise performance are 0.135, 0.09, and 0.081, and the correlation coefficients of tax preferences and enterprise performance are 0.075, 0.172, 0.08, respectively, which indicate that low-carbon policies have positive incentive effects on new energy vehicle marketing. This paper provides a reference for the related low-carbon policy incentive theory.


Keywords

Kaya constant equation, Generalized Fisher index, Carbon emissions, New energy vehicles, Corporate performance, 90B60


Citation

Li, X., He, S., Wang, B., & Ma, W. (2023). A study on the impact of low-carbon policies on new energy vehicle marketing in the age of artificial intelligence. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01211

Published by: Engineering Journals

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