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Academic Journal of Business & Management, 2021, 3(10); doi: 10.25236/AJBM.2021.031007.

Analysis and prediction of GDP of three major industries based on grey prediction model

Author(s)

Yu Liu1, Yingshuo Li2

Corresponding Author:
Yu Liu
Affiliation(s)

1Weihai Campus of Shandong University, Weihai, Shandong, 264200, China

2Qingdao University, Qingdao, Shandong, 266000, China

Abstract

Based on the panel data of China's three major industries' GDP from 2000 to 2020, this paper studies the development trend and trend of China's GDP in the past 20 years from the perspective of data analysis, finds that China's GDP industrial structure has changed from "one, two and three" pattern to "three, two and one" pattern, and gives the personal prediction value of the three major industries' GDP in the next few years by using the grey GM (1,1) model, Through the test of the model, the reliability of the result is high. In addition, it gives its own outlook and views on the impact of relevant policies.

Keywords

Panel Data, GDP, GM (1,1)

Cite This Paper

Yu Liu, Yingshuo Li. Analysis and prediction of GDP of three major industries based on grey prediction model. Academic Journal of Business & Management (2021) Vol. 3, Issue 10: 39-43. https://doi.org/10.25236/AJBM.2021.031007.

References

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[4] Pei Changhong, Yu Yan. Development trend of primary industry in new urbanization [J]. Economic research reference, 2014 (71): 34