IDEAS home Printed from https://ideas.repec.org/p/osf/thesis/u9scg.html
   My bibliography  Save this paper

The Impact Analysis Of Construction Project Of Mrt (Mass Rapid Transit) On Economic Growth In Jakarta Using Input-Output Analysis

Author

Listed:
  • Kurniawati, Wahyuni

Abstract

Jakarta Mass Rapid Transit (MRT) is a city mass transportation rail-based rapid (fast railway) being built to reduce congestion in Jakarta. The aim of this research is to analyze the impact of the first stage construction of the Mass Rapid Transit on DKI Jakarta’s economic conditions. MRT is a rail-based transport mode, which lies in an underground passage, and is elevated by using electric power. It is currently under construction and will be operating in 2019. The project is spending extensive funds borrowed from Japan International Cooperation Agency (JICA). MRT is built as a solution to the traffic congestion and as way to improving the quality of mass transportation in Jakarta. Hence, it is very important to know the effects that occur with the construction of the MRT. The research method applies input-output model of Jakarta in 2010 and descriptive analysis. This study found that by the construction of the MRT in Jakarta, it is increased the Gross Domestic Product of Jakarta by two percent, the construction sector contributed the most, and managed to increase income, as well as increasing the amount of labor in Jakarta

Suggested Citation

  • Kurniawati, Wahyuni, 2023. "The Impact Analysis Of Construction Project Of Mrt (Mass Rapid Transit) On Economic Growth In Jakarta Using Input-Output Analysis," Thesis Commons u9scg, Center for Open Science.
  • Handle: RePEc:osf:thesis:u9scg
    DOI: 10.31219/osf.io/u9scg
    as

    Download full text from publisher

    File URL: https://osf.io/download/64334c158f4a1c2ce3fc8e8b/
    Download Restriction: no

    File URL: https://libkey.io/10.31219/osf.io/u9scg?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:thesis:u9scg. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://thesiscommons.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.