KMITL

Permanent URI for this communityhttps://dspace.kmitl.ac.th/handle/123456789/1

Browse

Settings

Has files: NoSubject: search.filters.subject.Consumer price index

Search Results

Now showing 1 - 2 of 2
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Item,
    The Projection of Thai Manufacturing Export in the Bayesian VAR Model
    (2022-08-07)
    Rojniruttikul, Nuttawut
    ;
    Vajrapatkul, Adirek
    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.
  • Loading...
    Thumbnail Image
    Some of the metrics are blocked by your 
    consent settings
    Item type:Item,
    On the Forecast of Thai Industry Value Added
    (2021-07-08)
    Rojniruttikul, Nuttawut
    ;
    Vajrapatkul, Adirek
    Industry value added is a crucial factor that keep the manufacturers to survive in the high business competitive environment. Also it encourage the economic growth by offering the opportunity to generate high income from international trade. Thus achieving in creating high level of value added become the point of interest for both manufacturers and governments. Hence, to investigate what determine such value added. This work is designed to present the effects of some business and economic variables, namely gross domestic product, consumer price index, domestic credit to the private sector, and gross capital formation on industry value added in the context of Thailand by utilizing the Bayesian vector autoregression (BVAR) model with the 58 periods of annual modified data running from 1960 to 2019. This model shows the interactions between these five variables and the forecast of industry value-added. The results from this work revealed that there exist the Granger Causality and reactions between domestic credit to private, domestic capital formulation, domestic general price level, growth of the gross domestic product, and industry value-added. Thus, we recommend that government authorities should 1) encourage more credit to manufacturers, 2) invest more in industrial-facilitate infrastructure and support more on private investment in capital formulation, 3) induce more country income, and 4) control the general price level within the country.