IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-030-38253-7_45.html
   My bibliography  Save this book chapter

The Impact of Tourism Demand on Tax Revenues and Bank Loans in Turkey

In: Advances in Cross-Section Data Methods in Applied Economic Research

Author

Listed:
  • Mustafa Şit

    (Harran University)

  • Ahmet Şit

    (Kilis 7 Aralık University)

  • Haydar Karadağ

    (Rize Recep Tayyip Erdoğan University)

Abstract

The aim of this study is to investigate the impact of tourism demand on tax revenues and the bank loans granted to the tourism sector in Turkey. The data covers the period 2007Q1–2018Q3. The methods used included the tests of normality, heteroscedasticity, autocorrelation, CUSUM stability, unit root, Johansen cointegration, VECM error correction model and Quantile Regression. As a result, the hypothesis that the increase in tourism demand will increase the tax revenues and use of loans is supported. The findings may serve as a guide for tourism and fiscal policies. The tourism sector should be supported by public policies to obtain higher tax revenues.

Suggested Citation

  • Mustafa Şit & Ahmet Şit & Haydar Karadağ, 2020. "The Impact of Tourism Demand on Tax Revenues and Bank Loans in Turkey," Springer Proceedings in Business and Economics, in: Nicholas Tsounis & Aspasia Vlachvei (ed.), Advances in Cross-Section Data Methods in Applied Economic Research, chapter 45, pages 675-683, Springer.
  • Handle: RePEc:spr:prbchp:978-3-030-38253-7_45
    DOI: 10.1007/978-3-030-38253-7_45
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Keywords

    Tourism demand; Tax revenues; Bank loans; Quantile regression test;
    All these keywords.

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    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:spr:prbchp:978-3-030-38253-7_45. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.