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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      07 April 2023, Volume 38 Issue 2   
    Article

    MACHINE LEARNING FOR GROSS DOMESTIC PRODUCT VALUE FORECASTING IN THAILAND DURING COVID-19 SITUATION
    Sathapath Kilaso1, Kathaleeya Chanda2, Keattisak Chankaew3*and Sawanath Treesathon4
    Journal of Data Acquisition and Processing, 2023, 38 (2): 2470-2482 . 

    Abstract

    The situation has affected the global economy this year trending into a recession, forcing governments in many countries around the world to accelerate economic stimulus measures to mitigate the impact of COVID- 19, according to the World Economic Forum 5 report. This pointed out that the money spent by each government on this occasion was significantly larger than in the past. Advanced economies injected 14% to 28% of gross domestic product (GDP), while emerging economies accounted for around 4% of GDP. Thailand were close at 9%. This crisis is like a war in which humans have to fight an invisible enemy and no nation can escape from an economic recession. But the size of the impact and the direction of recovery of each country are different depending on 4 factors: (1) the duration of the lockdown which depends on the epidemic and people's cooperation; (2) the level of economic dependence countries that are linked to global production chains or are highly dependent on exports and tourism will have a higher impact; (3) Economic fundamentals. The economy in many countries has been in low growth for a long time. Some countries have been affected by the trade war. While some countries have flooded debt problems, causing the economy to be like a chronic patient that may recover more slowly; and (4) the government's economic stimulus measures which can be regarded as a strong medicine that is necessary for the economy to recover.

    Keyword

    Machine Learning, Gross Domestic Product, Forecasting


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