Research on Potential Factors Influencing the Development of New Energy Vehicles
DOI:
https://doi.org/10.54097/rem2sa62Keywords:
New energy vehicles, Analytic Hierarchy Process, Multiple Regression, Trade Canonical Correlation Gravity Model.Abstract
This study constructs double Analytic Hierarchy Process of the potential influencing factors on the development of new energy vehicles, mainly divided into government support and the attractiveness of new energy vehicles to customers. Based on the social survey results on customer attractiveness, a judgment matrix is established and evaluated through consistency testing. The results indicate that the factors with significant impact on the industry's development are the safety and range of new energy electric vehicles, as well as the government's subsidy policies for new energy vehicles. A multiple regression equation is established to predict the future development of the new energy vehicle industry by considering variables such as new energy vehicle sales volume, range of new energy electric vehicles, and the Multiple regression. The results suggest that the new energy vehicle industry will continue to thrive in the next decade. At the same time, the relationship between factors affecting the development of new energy electric vehicles and factors affecting traditional energy vehicles was studied, and two sets of typical correlation analysis variables were constructed. It was found that there was a partial inverse relationship between these two sets of variables. According to the analysis results, the development of new energy electric vehicles has a certain inhibitory effect on the global development of traditional energy vehicles.
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