Volume 69 | Issue 7 | Year 2023 | Article Id. IJMTT-V69I7P503 | DOI : https://doi.org/10.14445/22315373/IJMTT-V69I7P503
Received | Revised | Accepted | Published |
---|---|---|---|
30 May 2023 | 03 Jul 2023 | 15 Jul 2023 | 28 Jul 2023 |
This paper selects the national GDP data from 2000 to 2021, using the method of multiple linear regression and ARMA model, analyze and forecast the national GDP value-added ratio, select the eight GDP value ratio influencing factors, the empirical analysis is conducted on the influencing factors of the GDP increment ratio through gradual regression, find out the influencing factors significantly affect the GDP value-added ratio. On this basis, we found a long-term stable relationship between the GDP value-added ratio and the related influencing variables through the co-integration test. By fitting the ARMA model in R language, we finally obtained the forecast value of GDP appreciation ratio in the next five years, analyzed the change trend, and combined with the current situation of the influencing factors of GDP increment ratio, analyze the future development of various industries.
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Zhi Zhang, Hang Zhang, Xiang Han, "Forecdiction of GDP Appreciation Ratio based on ARMA Model and Multiple Regression," International Journal of Mathematics Trends and Technology (IJMTT), vol. 69, no. 7, pp. 17-31, 2023. Crossref, https://doi.org/10.14445/22315373/IJMTT-V69I7P503