A Comprehensive Ma-Mi-P Framework for Analyzing Factors Influencing the Development of New Energy Vehicles in China

Abstract

The Chinese new energy vehicle (NEV) industry currently holds significant development potential, attracting more participants. Studying the factors influencing the development of NEVs can provide valuable guidance for existing automotive companies and future entrants, helping to inform their development and improvement strategies. Building on existing research, this paper proposes a Ma-Mi-P framework for analyzing the factors influencing the development of new energy vehicles for the first time. The framework is divided into three levels: Ma (macro-level), Mi (micro-level), and P (personal-level). At the macro-level, the Boruta feature selection algorithm is employed to evaluate the importance of eight indicators: the number of charging stations, gasoline consumption, national disposable income, consumer spending levels, industrial GDP, gasoline benchmark price, material production, and government subsidies. At the micro-level, the random forest algorithm ranks indicators within product performance and brand image modules. At the personal-level, we collect behavioral event information of entrepreneurs and conduct an MBTI personality analysis using fuzzy set qualitative analysis. The study concludes that government subsidies, material production, and the number of charging stations are the most crucial factors at the macro-level. At the micro-level, consumer satisfaction and brand recognition are the key determinants influencing the development of new energy vehicles. Additionally, entrepreneurs with an ENFJ personality have a significantly positive impact on new energy vehicle companies. The proposed Ma-Mi-P framework provides a comprehensive and systematic analysis of the various factors influencing the development of new energy vehicles, addressing the gaps in existing theoretical research. The findings can also offer valuable guidance for current new energy vehicle companies and future industry entrants.