Bimonthly    Since 1986
ISSN 1004-9037
Publication Details
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
Distributed by:
China: All Local Post Offices
 
   
      1 Jan 2024, Volume 39 Issue 1   
    Article

    APPLYING ARDL TO MEASURE THE EFFECT OF DEMAND-SIDE FACTORS ON VIETNAM’S EXPORTS IN THE CONTEXT OF COVID-19: A DATA MINING APPROACH
    Vu Thi Minh Ngoc, Ph.D, Hoang Huong Giang, Ph.D.
    Journal of Data Acquisition and Processing, 2024, 39 (1): 52-61 . 

    Abstract

    Demand-side factors and openness policies of import countries influence Vietnam’s export significantly. In the context of Covide-19, the unforeseeable changes in these factors led to a sharp reduction in Vietnam’s export. In this study, we utilize one of simple data mining technique, namely, the application of Autoregression Distributed Lag (ARDL), to investigate the effect of average economic growth of Vietnam’s five most important trading partners (the US, the EU, Japan, South Korea, and China), their average tariff and Vietnam’s market share in these markets on Vietnam’s key exports. The empirical result shows that Vietnam’s market share and the openness of five markets have a positive effect on Vietnam’s export in both short term and long term at the 1% of significant level. However, Covid-19 has a reverse influence on Vietnam’s export to the five markets in the long term, leading to decreased revenue of key exports in the important markets. Meanwhile, the economic growth rate of the five markets and tariffs have no effect on Vietnam’s exports in the context of Covid-19.

    Keyword

    export, VietNam, Covid – 19, ARDL, openness, GDP


    PDF Download (click here)

SCImago Journal & Country Rank

ISSN 1004-9037

         

Home
Editorial Board
Author Guidelines
Subscription
Journal of Data Acquisition and Processing
Institute of Computing Technology, Chinese Academy of Sciences
P.O. Box 2704, Beijing 100190 P.R. China
E-mail: info@sjcjycl.cn
 
  Copyright ©2015 JCST, All Rights Reserved