Forecasting the Impact of the Results of the U.S. Election in 2020 on China’s Economy based on Analytic Hierarchy Process
Abstract
This paper mainly studies and analyzes the impact of the U.S. presidential election on China’s economy. Through
the different policies of finance and trade, measures to combat new crown pneumonia, infrastructure taxation, environmental
protection, employment and other policies after the election of different candidates, the data curve is fitted and analyzed. A forecast
model has been established, the idea of hierarchical analysis of the forecast model has been applied, and the economic impact that
different candidates may have on China at this stage and in the next ten years has been further analyzed. Hierarchical analysis[1]
applies not only to situations where uncertainty and subjective information exist, but also to the logical use of experience, insight,
and intuition.
the different policies of finance and trade, measures to combat new crown pneumonia, infrastructure taxation, environmental
protection, employment and other policies after the election of different candidates, the data curve is fitted and analyzed. A forecast
model has been established, the idea of hierarchical analysis of the forecast model has been applied, and the economic impact that
different candidates may have on China at this stage and in the next ten years has been further analyzed. Hierarchical analysis[1]
applies not only to situations where uncertainty and subjective information exist, but also to the logical use of experience, insight,
and intuition.
Keywords
Curve Fit Hierarchical Analysis Economic Impact
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PDFReferences
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[3] Expert Team,Institute of American Studies,CASS,. The 2020 election and its impact on U.S. domestic and foreign affairs. Contemporary American Review, 2020, 4 (4): 1-41, 122-124.
[4] Zhang Wenzong1, Zhang Wei2. 2020U.S. election and domestic and foreign policy trends[J]. Peace and development, 2020, (6):1-15,134.
[5] Guo Jinyu, Zhang Zhongbin, Sun Qingyun. Research and application of hierarchical analysis[J]. Journal of Safety Science of China, 2008, 18(5):148-153.
DOI: https://doi.org/10.18282/l-e.v10i2.2313
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