贝叶斯VAR模型中的ICT与泰国经济增长关系

N. Rojniruttikul, Adirek Vajrapatkul
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摘要

本研究利用贝叶斯向量自回归(BVAR)模型,利用1993年至2016年的24个年度修正数据,展示了泰国背景下互联网使用、移动订阅、ICT出口和ICT进口对国内生产总值的影响。该模型显示了这五个变量与GDP预测之间的相互作用。这项工作的结果表明,互联网使用,移动订阅和ICT出口在短期内对GDP产生积极影响。而信息通信技术进口对GDP几乎没有负面影响。根据分析结果,我们建议政府部门应1)投资或支持与互联网和移动利用相关的ICT基础设施投资,2)降低获取互联网和移动设备的成本以及接入互联网和移动服务的成本,3)支持ICT出口商。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ICT and Thai Economic Growth Nexus in the Bayesian VAR Model
This work presents the effects of internet usage, mobile subscription, ICT export, and ICT import on Gross Domestic Product in the context of Thailand by utilizing the Bayesian vector autoregression (BVAR) model with the 24 periods of annual modified data running from 1993 to 2016. This model shows the interactions between these five variables and the forecast of GDP. The results from this work revealed that internet usage, mobile subscription, and ICT export positively affect GDP in the short run manner. Whereas ICT import showed little evidence of a negative effect on GDP. Also, this work confirms the superior forecast performance of BVER over traditional VAR. According to the results of the analysis, we hence recommend that government authorities should 1) invest or support the investments in ICT infrastructure related to internet and mobile utilization, 2) reduce the cost of acquiring internet and mobile equipment and the cost of accessing the internet and mobile service, and 3) support the ICT exporters.
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