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Research on Influencing Factors of the Willingness to Buy New Energy Vehicle Based on Binary Logistic Regression

Yijia Tian, Zhouying Fan

Abstract


The binary logistic regression method was used to research and analyze the infl uence of 10 factors in the questionnaire data,
such as gender, age and corporate image, on consumers’ willingness to buy new energy vehicles. Through the binary logistic regression
model, it is proved that age, educational background, occupation, annual income, corporate image, environmental awareness, government
policies and product quality and performance can have an impact on consumers’ willingness to buy. According to Wald value, environmental
awareness has the greatest impact on the willingness to buy new energy vehicles. The results show that binary logistic regression can predict
the probability of an event. In order to increase consumers’ willingness to buy new energy vehicles, we must start from population variables,
corporate image, environmental awareness, government policies and product quality and performance.

Keywords


new energy vehicles; willingness to buy; binary logistic regression

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References


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DOI: http://dx.doi.org/10.18686/modern-management-forum.v7i1.7447

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