The Projection of Thai Manufacturing Export in the Bayesian VAR Model

N. Rojniruttikul, Adirek Vajrapatkul
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Abstract

This research aims to study the effects of manufacturing value-added, consumer price index, and exchange rate on manufacturing exports in the context of Thailand by utilizing the Bayesian Vector Autoregression (BVAR) model with the annual modified data from 1960 to 2019. This model shows the interactions between these four variables and the forecast result. It was revealed that the effect of the exchange rate can pass through the consumer price index, which further affects manufacturing exports. According to the research results, government authorities should pay attention to domestic price control by controlling the general price level by indirectly controlling the exchange rate, which passes through its effect on domestic prices, and directly controlling domestic prices via monetary and fiscal policy. In addition, manufacturers should pay attention to the reduction of the production cost by investing in modern technology and reducing the per unit cost, which leads to a price reduction.
基于贝叶斯VAR模型的泰国制造业出口预测
本研究采用贝叶斯向量自回归(BVAR)模型,利用1960 - 2019年的年度修正数据,研究泰国制造业增加值、消费者价格指数和汇率对制造业出口的影响。该模型显示了这四个变量与预测结果之间的相互作用。据调查,汇率的影响可以通过消费者物价指数传导,进而影响制造业出口。根据研究结果,政府当局应重视国内价格控制,通过间接控制汇率通过其对国内价格的影响来控制物价总水平,并通过货币和财政政策直接控制国内价格。此外,制造商应注意通过投资现代技术来降低生产成本,降低单位成本,从而导致价格下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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