Author(s)

Sun Miao ¹

Affiliation(s)

¹ Business School, Xi'an International Studies University, Xi'an, China

Corresponding Author

Sun Miao

ABSTRACT

The development of new energy vehicles is the only way for China to move from a big automobile country to a powerful automobile country. It is also a big country for China to cope with global climate change and promote low-carbon green development. This paper mainly evaluates the impact of new energy vehicles on the ecological environment through grey correlation analysis, random forest regression model, combined with SPSS and EXCEL. In order to evaluate the role of new energy vehicles in the environment, this paper first selects ten cities with different economic levels, geographical locations and sizes in China, and analyzes the ecological environment of these ten cities, and selects the indicators that the development of new energy vehicles can promote the environment. Secondly, collect relevant data. Since it is difficult to collect data on CO2 reduction by new energy vehicles in each city, this paper establishes relevant formulas for statistics. After the data is sorted out, the missing data is averaged and filled, and then the random forest model is established through the standardization of the data. The development of new energy vehicles will effectively improve the environment.

KEYWORDS

Big data analysis, new energy vehicles, grey correlation model, random forest regression model

CITE THIS PAPER

Sun Miao, Research on the influencing factors of the development of new energy vehicles on the ecological environment. Population, Resources & Environmental Economics (2024) Vol. 5: 151-156. DOI: http://dx.doi.org/10.23977/pree.2024.050217.

REFERENCES

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