Author(s)

YuHe Cheng

Affiliation(s)

School of Mathematics and Statistics, Guangxi Normal University, Guilin 541006, Guangxi, China.

Corresponding Author

YuHe Cheng

ABSTRACT

Since China's accession to the WTO, foreign trade has been developing rapidly, and as an important part of the national economy, the importance of foreign trade in China's economic development has been increasing. In recent years, the total amount of import and export of Guangxi Zhuang Autonomous Region has continued to increase, but it also faces some problems, so it is of practical significance to analyze the influencing factors of the total amount of import and export. Based on the goods import and export data of Guangxi Zhuang Autonomous Region from 2002 to 2021, this paper selects five factors, namely total retail sales of social consumer goods, fiscal expenditure, regional gross domestic product, per capita disposable income of urban permanent residents and the exchange rate of the RMB against the US dollar, and establishes a multiple regression model by using the R language software to analyze the influencing factors. The model was improved by statistical test, multiple covariance test and heteroskedasticity test, and random forest was used for prediction. Finally, according to the results of empirical analysis, corresponding countermeasure suggestions are put forward.

KEYWORDS

Total import and export amount; Influencing factors; Ridge regression; LASSO regression

CITE THIS PAPER

YuHe Cheng. Study on the influencing factors of Guangxi's total exports based on ridge regression and lasso regression. Trends in Social Sciences and Humanities Research. 2024, 2(4): 28-32. DOI: 10.61784/tsshr3007.

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